Editorial board Foreword Volume I Issue I Introducing the inaugural issue of JPPE The ambition to start an international, interdisciplinary, academic journal of philosophy, politics, and economics was one that emerged as much as a consequence of a desire to take a new approach to undergraduate scholarship as it was motivated by an affinity for an old idea: ‘philosophy, politics, and economics’ (PPE). PPE is famously a product of the University of Oxford, which, in the 1920s, began to amalgamate the three disciplines into a single degree that could provide a strong, yet broad foundation for future policymakers. And in this regard, the program succeeded. Many major British politicians and public figures—from the Labour Party’s Ed Miliband to Former Prime Minister David Cameron to Christopher Hitchens—studied PPE at Oxford. It is important when considering the emergence of PPE, however, to recall the relative radicalism of the concept at the historical time period in which it emerged. Just as the Russian Revolution came to a close and the First World War left Europe devastated, the United Kingdom began to experience high unemployment. It was in this context of political strife, growing inequality, and seemingly insurmountable threats to global peace and human livelihoods that PPE emerged as a concept that could help spur the thoughtful ethical, political, and economic decisions that might affect positive change. And yet, despite the success of Oxford’s PPE program and the stunning propensity of the program’s top graduates to take seat in British Parliament today, it has not crossed the Atlantic to achieve the same popularity. Much of this is a consequence of a particularly English affinity for generalists; however, whatever the reason, this Journal holds that the failure for PPE to take off in the United States has been a shame. Though PPE has been criticized at times as an academic experience that produces broad knowledge as opposed to deep knowledge, the interdisciplinary program is, at its core, the single most effective tool to analyze modern circumstance as a social scientist. Brown University, to its credit, has seen nascent developments in PPE programming. Every year, students look to pursue Independent Concentrations that mimic Oxford’s program, and the Philosophy, Politics, and Economics Society, which, like this Journal, is sponsored by the Political Theory Project, highlights this growing trend. We created the Brown University Journal of Philosophy, Politics, and Economics to encourage the growth in PPE-related academic work on Brown’s campus and, most importantly, to provide young people with a space to debate and put forth academic arguments that can kindle the discussions that ultimately transform communities and entire democracies. In achieving in this end, our Journal dedicates itself to five guiding principles. First, we value interdisciplinary understanding. By shifting toward a more broad approach to social sciences, the debates, which are too often compartmentalized, are made more accessible and inclusive. In each issue of JPPE, we aim to highlight the best economic arguments alongside the best philosophical and political arguments. This could for instance illustrate, at once, the ways in which a discussion of the minimum wage can be understood as a question of economic efficiency and as a question of political feasibility, as well as a moral proposition that asks important questions about the permissibility of income inequality. What results from this is not a dearth of deep knowledge, but rather a broad understanding in which the sum is greater than each of its individual parts. The bold idea of this Journal stems from a belief that the lenses of philosophy, politics, and economics are not only useful to considering contemporary circumstance. They are all essential. Second, we value diversity. In order to create a space that effectively reflects the character of contemporary debate among young people, as well as the issues most motivating the next generation of leaders and thinkers, it is essential that diversity of views and backgrounds are highlighted. As a non-partisan publication, we strive to highlight a range of political arguments so long as they are rigorous, thoughtful, and conceived in good faith. And though our Journal selects submissions name-blind, we are committed to promoting an inclusive environment for all our employees, welcoming staff members regardless of ethnic origins, gender, religious beliefs, disability, sexual orientation, or age. This doesn’t just make us a more responsible organization, it makes us a better journal. Third, we value academic rigor. As an academic publication, we are committed to publishing the highest levels of student scholarship, and we require that submissions be well written, well argued, well researched, and innovative. In creating this Journal, however, our publication’s founders recognized the limits of undergraduate experience and knowledge as a means to assess the quality of scholarship. For this reason, our Journal is peer-reviewed, receiving guidance and feedback on what essays to publish from a team of over 25 eminent scholars. Fourth, we value free thinking and original arguments. Though many essays we receive are pieces that have been written for a classroom environment and thus may be confined to answer a particular array of questions in a smaller paradigm than academics might, we have been consistently impressed by the unique ideas students have put forth. It is the aim of our Journal to highlight these pieces of original analysis, which are too often tucked away into the cupboards of forgotten undergraduate work. Fifth, we value and desire to play an integral part in stimulating global leadership among young people. Though we are an academic publication, we aspire to influence discussions among undergraduates that can help spur re-evaluation, action, and change. In placing an emphasis on global leadership, we recognize that the real value of our Journal comes less through the answers our authors provide than through the discussions they encourage and the audacity of the ideas they propagate. The inaugural issue of our Journal you are now reading perfectly reflects our five guiding principles. In “A More Perfect Union”, for instance, the author encourages readers to more closely analyze the relationship between liberalism and national unity, pondering how a liberal democracy should best understand its relationship to patriotism. And in the “Latent Effects of Cannabis Legalization”, we publish original research on the criminalization of marijuana and its disproportionate effects on black communities. This edition also features pieces from two significant American leaders: Providence Mayor Jorge Elorza and Louisville Mayor Greg Fischer. Both mayors are important figures on the frontlines of local policy that seeks to make economic growth in the 21st century more inclusive and competitive, reducing the barriers to entry and ordinances that too often discourage participation in the American economy and in our democracy. We asked both mayors to highlight their achievements on this front not only as a means to highlight examples of effective local policy implementation, but also in order to more profoundly integrate the literature of future leaders with the work already being done by current leaders. We believe that all of these elements have helped us put forth a powerful combination of essays, and we hope JPPE will be a place where young people can go to consider new ideas and offer innovative solutions to addressing today’s ethical, economic, and political challenges. Our team is united by a shared love of argument, problem solving, and a deeply felt desire to help contribute to conversations that can so greatly impact livelihoods. And in a time where the world is rapidly changing, as forces like technological disruption, globalization, climate change, and political polarization threaten to vastly alter our human experience this century, young leaders will undoubtedly be called upon to develop new ideas to solve the challenges we face. JPPE aims to both facilitate and be a part of this great conversation.

Author Name < Back The Relationship Between Education and Welfare Dependency Aiden Cliff Abstract Several studies have described the correlation between welfare dependency and factors such as welfare conditionality, gender, and high school or college graduation rates. Using Annual Social and Economics Supplement Data (ASEC) from 2009 through 2019, downloaded from sources such as IPUMS CPS, this paper crafts an OLS regression model to find the relationship that years of completed education have on welfare dependency status. This paper concludes that there is a negative correlation between higher education levels and lower participation in the welfare system, with the completion of one additional year of schooling suggesting a decrease in the probability of needing welfare by 0.1%. While this correlation is small, it is still statistically significant in the linear probability model due to a large sample size (n = 145,431). After adding other explanatory variables, such as measures for race, biological sex, and employment status to control for endogeneity, further regressions confirm that there is still a statistically significant negative relationship between education and welfare dependency. These results suggest that policymakers should focus on educational subsidies over welfare subsidies to increase social mobility. I. Introduction Education is often referred to as an essential mechanism in promoting social mobility (Haveman, 2006). However, the rising costs of education in America have forced many individuals to require more income to pay off student loans. As a result, families who are enrolled in welfare programs are spending a larger portion of their income on student debt, correlated with an increased reliance on such welfare programs and a positive feedback loop that makes it more difficult to climb out of welfare dependency (Johnson, 2019). In addition, most welfare programs have substantial requirements that, rather than helping recipients to get out of poverty, restrain recipients from escaping the welfare system (Rupp et al, 2020). This, and other societal pressures, have forced lots of students to put a pause on their education and work at low-skilled jobs with minimal pay, keeping them reliant on welfare programs (Johnson, 2019). This vicious cycle will only cause more people to remain trapped within welfare programs, preventing them from escaping poverty and improving their livelihoods. Previous studies have shown that education levels are correlated with the probability of a welfare recipient returning to welfare in the future (London, 2008). Other studies have also shown how changes in the welfare system have improved welfare recipients' education qualifications and subsequently their employment opportunities (Hernaes, 2017). London’s (2008) study focused on how attaining a higher educational degree allows welfare recipients to improve their employment opportunities, reduce their welfare dependency, and reduce their overall family poverty levels by 63%. Meanwhile, Hernaes et.al (2017) found that more conditionality in welfare programs helped Norwegian teenagers from welfare-recipient families reduce their reliance on welfare programs; and lower the country’s high school dropout rate by 21%. In addition, Pacheo & Maloney (2003) found that intergenerational welfare participation differs between genders due to family characteristics such as household size and parents’ welfare dependency. As a result, young females tend to have lower educational attainment and are nearly two times as probable of relying on welfare in the future when compared to their male counterparts (Pacheo et al, 2003). Based on the insights offered by the studies above, this paper aims to contribute to this field by investigating the hypothesis that years of schooling completed reducing the probability of receiving welfare in the future. Factors of endogeneity will also be analyzed through the implementation of explanatory variables such as race (Courtney, 1996), sex (Bakas, 2014), number of children (Arulampalam, 2000), marital status (Hoffman, 1997), hours worked (Bick et al, 2018) and employment status (Arranz, 2004) into the regression model. These variables were chosen due to past publications finding possible links between this psychographics and demographics to welfare benefits. Preliminary hypotheses predict that there will be a negative relationship between the education level attained and the probability that an individual will receive future welfare. Using simple and multi-linear OLS regression analysis and the IPUMS-CPS annual data from 2009-2019, it has been observed that individuals with more years of schooling completed are less likely to be on welfare in the future. Data was chosen from this period because the American economy was beginning to recover from the 2008 Financial Crisis during this time. This allows us to observe correlations between education levels attained by individuals and whether they ended up in welfare programs more clearly. This paper will be presented as follows: Section II will cover previous research on how welfare conditionality, gender, and education levels affect welfare dependency. Section III will present information on how this data was obtained and explain the data-cleaning process along with the types of variables used throughout this paper. This section ends with explanations of how the data is verified through the four OLS assumptions. Section IV will cover econometric methodology which includes alternate functional forms explored and additional X-Variables tested through multiple regression along with methodologies we’ve used to control the endogeneity of independent and explanatory variables to ensure the fairness of the regression model. Section V highlights the results, the sample regression line, and statistically significant information regarding the regression analysis. Section VI contains the paper's conclusions where the results are evaluated and put into context within the field. The paper concludes with section VII, the appendix, where all tables, figures, diagrams, and supporting calculations are represented for reference. II. Literature Review The literature works that are presented here serve as important foundations in the field and provide extensive insight into the relationship between welfare dependency and education levels, along with how other variables might affect this relationship. The study conducted by Hernaes et al. (2017) found that the strict welfare conditionality, linking welfare to certain characteristics or traits in Norwegian welfare programs, has reduced welfare dependency while increasing the high school graduation rate among Norwegian welfare recipients. In the process, they used a logarithmic regression model (LRM) and regressed a dependent dummy variable that identifies welfare recipients who are 21 years old onto an independent variable that consists of family characteristics such as parent’s education background and cumulative income, to control for endogeneity. The study resembles this approach because the dependent variable that they’ve used is also a dummy variable that indicates welfare recipients. In addition, the study used other explanatory variables, in particular the recipient’s parental background, to control for the endogeneity of those variables on the probability of returning to welfare. However, Hernaes et al. (2017) emphasizes how family background affects teens’ probability of returning to welfare in the future through explanatory variables that focus on family characteristics. Whereas this study focuses more on how other individual characteristics such as education level, labor condition, and family status of the welfare recipient have affected the welfare recipient’s probability of returning to welfare programs in the future. Notably, a previous study indicated that there is a correlation between welfare recipients who have obtained a higher education degree with reducing their reliance on welfare programs, but only if they receive additional financial aid to support their college expenses. London (2006) uses data such as college attendance, college graduation rate, and personal characteristics, such as extraversion and race demographics, to predict the welfare recipient’s three outcomes: employment, return to aid, and poverty status. By controlling influencing factors that change over time – such as the rate of college enrollment – and making sure all omitted variables, – such as familial culture and personal motivation – are factored into the result, the study employs instrumental variable econometric models to calculate predictions. The study found that “college attendance, more than graduation, is an important predictor of future employment. At the same time, college graduation better predicts the probability of returning to aid or being poor within five years of leaving welfare” (London, 2006, p. 491). Specifically, the study quoted “college graduation rather than enrollment without graduation has an effect on recidivism, and only in the five-year interval” (London, 2006, p. 489). Their findings support this hypothesis that the education level a welfare recipient attains is crucial to the probability of returning to welfare in the future. Despite the similarities in the use of variables to investigate the issue, predicting the probability of return to welfare using college graduation and attendance is only a part of this study’s objectives. The study also conducts an investigation into how college graduation and attendance affect employment opportunities and family poverty levels. Another earlier study showed that genders might have different levels of welfare participation and education attainment. Pacheco & Maloney (2003) learned that females “have an estimated intergenerational correlation coefficient that is more than double that for males.” (Pacheco & Maloney, 2003, p. 371). The study uses simple regression models and inputs such as the number of years in formal education completed by age 21, family background characteristics (parent’s education qualifications and the number of children in the household), and the proportion of years where parents obtain welfare benefits to produce their findings. In addition, Pacheco & Maloney (2003) found that female welfare recipients whose families have a history of welfare dependency tend to remain in welfare programs. The study uses the same regression model to offer insight into how familial and cultural forces affect male and female probabilities of returning to welfare in the future. Nevertheless, Pacheco & Maloney (2003) offered insight into how gender might have altered the relationship between education levels and probability in return to welfare. III. Descriptive Statistics All of the raw data was downloaded directly from the CPS portion of the IPUMS website, which is a reputable federal source for time series and cross-sectional data. Annual Social and Economic Supplement Data (ASEC) from 2009 to 2019 was downloaded. These years were selected to obtain the most up-to-date data while also analyzing enough observations to create the best regression analysis possible. Twenty-one variables were analyzed within these years, the most important of which were EDUC and INCWELFR, the two variables that were altered and then used for the regression analysis. These variables were raw and included nearly 150,000 observations over the 11 years. The data was meticulously cleaned before running any regressions to test the hypothesis. The first variable cleaned was EDUC. The raw EDUC variable could hold any coded value from 1 to 125. These coded values did not reflect the true years of schooling any individual had, so a new variable was created: EDUC_REV, to accurately reflect the true years of schooling each individual has completed. The values for this new variable were generated using the observations for the EDUC variable alongside the specific numeric code utilized by CPS. For example, an individual who has obtained a high school diploma through 12 years of completed education would receive a value of EDUC=73 within the CPS data set. The data was cleaned so this specific value would now be EDUC_REV=12. This cleaning procedure was used for all possible levels of education within the data set. Individuals who were too young to receive any education at all were also removed from the data set (they were identified through EDUC=1 in the original data set). The focus then shifted toward the INCWELFR variable from CPS. This variable measures the dollar value of the income an individual receives from any source of government welfare benefits. In this study, the focus is on the effect that education has on the reception of welfare at all, not the amount of welfare that was received. This means the analysis is valid if an individual receives any form of welfare payments, and not focusing on the actual dollar value of said payments. So, for this reason, another new variable was created: WELFARE. This variable is a dummy variable that gets its values from the information in the INCWLFR variable. If the individual receives no form of welfare they will be assigned INCWLFR=0 in the data set. This same individual would be assigned a value of zero for the newly created variable (WELFARE=0 when INCWLFR=0). However, if an individual receives welfare in any form, regardless of the amount, they will be assigned a value of one for the new variable (WELFARE=1 when INCWLFR>0). Any individual who was not eligible to receive welfare in any form was denoted by INCWELFR=999999. These observations, many of which were individuals under 18, were removed from the data set to generate a less skewed, and more accurate, sample. Additional variables were also analyzed for the multiple regression analysis. These variables tested the effects of not only education, but also employment status, income, hours worked, marital status, gender, and number of children on the reception of welfare. These variables were used to try and control for endogeneity within the model and are further described in Table 1 of the appendix . Before the new variables could be put through a proper regression analysis, the four assumptions of an Ordinary Least Squares Regression Line had to be tested. If all of these assumptions hold true then the estimators of b1 and b2 would be BLUE (Best Linear Unbiased Estimators) and all of the calculations done through STATA would be completely accurate. The first OLS assumption is that the expected error within a sample will be zero. This is noted as E[WELFARE_RES/EDUC_REV]=0 and this does hold true in this sample. The 95% confidence interval for WELFARE_RES does include zero so it is likely that the expected value of the error is zero and therefore the first OLS assumption is met. The second OLS assumption is that the data is homoscedastic. This is noted as Var(WELFARE_RES/EDUC_REV)=Sigma^2. However, since the dependent variable is a dummy variable, this regression takes the form of a linear probability model (LPM). By definition, every linear probability model has heteroscedastic data. Therefore, the second OLS assumption is not met. The third OLS assumption is that the data is free of clustering. This is noted as Cov(WELFARE_RES_i,WELFARE_RES_j)=0, meaning that the value of WELFARE for one value does not directly influence the value of any other observation within the data set. This influence usually occurs when two observations are within the same geographical unit. While there is no way to test if any observations are within the same geographical unit (such as the same household) due to confidentiality, the sample size is large enough and pulls from each region almost equally, so it would be extremely unlikely for any two observations to come from the same household. Therefore, for the sake of the regression, the third OLS assumption will be met. The fourth and final OLS assumption is that Y is normally distributed. This was tested by creating a histogram for WELFARE and seeing if it roughly resembled a bell curve. When this was done, it was obvious that the data was not normal. This is apparent through a multitude of factors but is most clearly shown by the high skewness, a value of over 16. Therefore, it was concluded that welfare was not normally distributed. However, since the sample size consists of 145,431 observations, the central limit theorem (CLT) is met. So, while the fourth OLS assumption failed to be met for this particular regression, it will not have a significant impact on the regression since the sampling distribution for WELFARE will still be normally distributed. In conclusion, the regression met two of the four OLS assumptions. Therefore, while the regression analysis will not be BLUE, it will still be significant since it is free of serious sampling errors. IV. Econometric Methodology While this paper mainly focuses on the linear probability model and the effect that education has on welfare dependency, other functional forms that could better fit the regression analysis were also considered to develop a more thorough analysis. This was done through the experimentation of the functional forms that the independent variable took. While the previous section discussed the linear form of EDUC_REV, exponential and logarithmic forms of this variable were also considered. The independent variable was only altered since the dependent variable is a dummy variable. Altering the value of the variable will not generate any different results since its domain is limited to {0,1}. Other explanatory variables, and the results they produced, are summarized in Table 5 of the appendix. While all of the functional forms tested would have produced statistically significant interpretations that support the hypothesis, although their interpretations would have been different, the original regression was still the most accurate for this particular data set. Other functional forms included EDUC_REV in quadratic, cubic, and log forms. These functional forms are used to emphasize the effects of EDUC_REV in order to match the data points. The original is the most accurate because it has the highest R-Squared value, a measure of how well the data points fit the linear regression line. These R-Squared values can be found in Table 5 but the linear model has the highest value of .0014. Since the linear regression between WELFARE and EDUC_REV has the most accurate regression line relative to the data set, this regression model was the basis from which all conclusions were drawn. Interaction terms were also analyzed by creating the term EDUC_UNEMP which was EDUC_REV multiplied by UNEMPLOYED. By using this interaction term, the possible effect of EDUCATION on WELFARE varying with UNEMPLOYED can be studied. The regression showed that when UNEMPLOYED is 0, the likelihood of WELFARE is constant plus b2. When UNEMPLOYED is 1 then the likelihood of being on WELFARE increases. This means that individuals who are unemployed are more likely to be receiving benefits from welfare. The motive that drives this is individuals who are unemployed do not receive any form of compensation or income outside of their welfare payments. Slope and Intercept dummy variables are additional variables added to this study. In this situation, the intercept dummy variable is UNEMPLOYED. The presence of UNEMPLOYED is represented with a 1 and causes an increase in the intercept, which translates to an increase in the probability of welfare. When describing this relationship on a graph there are two parallel lines and the difference between them is caused by the slope dummy variable. Both lines have the same slope and the probability gap of being on WELFARE remains the same at all levels. This is not the main difference between someone who is unemployed and someone who is employed. This supports the claims made through interaction term analysis in the previous paragraph. However, while the simple regression analysis supports the hypothesis, there could be other confounding variables that underlay such correlation seen between WELFARE and EDUC_REV. If these possible confounding variables are correlated with both WELFARE (controlling for EDUC_REV) and EDUC_REV, then it could make EDUC_REV an endogenous variable, indicating that EDUC_REV does not necessarily cause the decrease in the probability of an individual on welfare. To test this claim, a multiple regression analysis was run, including both EDUC_REV and a variety of other possibly confounding variables, for their possible effects on WELFARE. The results showed that the three variables with the largest effect on WELFARE were BLACK, MALE, and UNEMPLOYED. These are variables created within the data set describing an individual's race, gender, and employment status, respectively. All of these are strong contenders for possible confounding variables and the true reason the regression effect on welfare was observed, and therefore put EDUC_REV at risk of being an endogenous variable (Courtney, 1996; Bakas, 2014; Arranz, 2004). A full list of the additional X-Variables tested along with the multiple regression output can be found in Table 10 . That being said, this is not enough evidence to conclude that education levels are definitely an endogenous variable when describing the probability of receiving welfare. These possible confounding variables could be further analyzed if a more in-depth regression analysis was performed in future studies. V. Results After the data had been completely cleaned and verified for OLS assumptions, the regression of EDUC_REV on WELFARE was run. This regression showed the noncausal effect that years of completed education have on the probability of receiving welfare. If the hypothesis holds true, the Least-Squares Regression Line should have a negative slope, denoting that the more years of education an individual completes, the less likely it is that the individual receives welfare. The output for the regression analysis, as well as the full, scatter plot showing the Least Squares Regression Line for EDUC_REV against WELFARE, can be seen in Table 8 and Table 9 of the appendix. However, these figures can be summarized by the equation for the sample regression: WELFARE_hat = b1 + b2 EDUC_REV t-statistic = -14.27 WELFARE_hat = .015 - .001 EDUC_REV n = 145,431 (SE) (8.08e-4) (5.68e-5) p-value = 0 *** The most important value within the sample regression line for the hypothesis is -.001, or the slope of the regression line denoted as b2. Since b2 is a negative value, there is a negative correlation between the number of years of completed schooling (EDUC_REV) and the reception of welfare (WELFARE). While this value seems too small to have any real effect, it is still statistically significant. This is because the 99% confidence interval for b2 does not include zero because the standard deviation is extremely close to zero based on the large sample size. A hypothesis test at the critical level of .01 was also run to see if the value generated for b2 could be equal to zero. This test gave a critical value for b2 of -14.27 and a probability of B2 being equal to zero of zero. These results lead to the conclusion that it is statistically significant that as EDUC_REV increases, WELFARE decreases within the regression. In conclusion, while increases in education could have a small effect on the probability of relying on welfare, it is still a statistically significant effect. However, this does not prove that increases in education will decrease the probability of relying on welfare since ceteris-paribus does not hold true for this collected data set and a causal relationship is not established. This regression analysis supports the hypothesis that as an individual's education increases, the probability that said individual will rely on welfare as a source of income decreases (since b2 is a statistically significant negative number). By applying these findings, it was determined that as an individual’s years of completed schooling (EDUC_REV) increases by 1 year, the probability that the individual will receive welfare (WELFARE as a dummy variable) decreases by .001 or 0.1%. This is because the slope of the linear regression model, with a dependent dummy variable, is -.001 and the functional form analyzed is a linear probability model. While this relation is not inherently strong, and years of completed schooling do not have a large impact on the probability of receiving welfare, it is still statistically significant. Within the regression, b1 is also statistically significant. The value of b1 in this sample regression line is .015, or an applied .15%. By applying this value to the context of the study, it was found that the probability of an individual receiving welfare given that they have completed zero years of schooling is .15%. This number is positive so it is technically feasible and within the domain of the study. However, it is extremely unlikely that an individual has received zero years of schooling and is also eligible to receive welfare (Stephens, 2014). For this reason, the value of b1 was not a focus within these results. VI. Conclusion As stated above, this study shows a minor, yet the statistically significant, effect of EDUC_REV on WELFARE. These results indicate that there is evidence to support a possible relationship between higher levels of completed education and lower chances of an individual receiving welfare in the future. The thought process behind this regression is that individuals with higher education are more likely to land better jobs and therefore make more money, thus decreasing their need for welfare. While focusing on the simple regression model for the majority of the paper, important results when controlling for endogeneity through a multiple regression model were also found. This multiple regression analysis was performed while controlling for multicollinearity. Since none of these variables share a strong correlation (r > .8) with each other, it is okay to run a regression model with all of these X-Variables. The full correlation results can be seen in Table 11 of the appendix. AIC, BIC/SC, and R_Squared were also analyzed and are summarized in Table 12. Since the multiple regression model has more X-Variables, it has a larger potential to explain any variation in Y and is likely to be a better fit for the data. Even with the introduction of these additional X-Variables, the initial variable tested in the multiple regression analysis, EDUC_REV, was still statistically significant, as seen in Table 10 . Thus, even with controls for endogeneity, there is still a statistically significant negative correlation between the highest level of completed education and the probability of receiving welfare, only strengthening this paper’s claims. In relation to previous studies in part II, this study aligns with London’s (2006) conclusion that welfare recipients who have received a higher education degree have a lower probability of receiving welfare in the future, with the assumption that both genders fit into the conclusion. However, to what extent education attainment is beneficial to both genders and race remains questionable since the data lacked suitable information to investigate how omitted variables might have affected the relationship between the education level attained and the probability of receiving welfare. This paper has also failed to reproduce the findings that Pacheco & Maloney (2003) found. This paper did not control the age and time of welfare received by the recipient, whereas Pacheco & Maloney (2003) did. In addition, Pacheco & Maloney (2003) factors in the background of the welfare recipient’s parents, such as their income received from welfare, educational background, and race. This study, on the other hand, did not factor family characteristics into the regression model. This paper also failed to reproduce the results that Hernaes et. al (2017) produced because the nature of the data is different from Hernaes et. al (2017). First, Hernaes et. al’s (2017) dataset had the location of each welfare recipient’s municipality. The location variable allows Hernaes et. al (2017) to determine whether the welfare recipient was in a municipality that has stricter welfare policies or not. Second, Hernaes et. al (2017) was able to capture each municipality’s level of conditionality through survey responses collected in a report by a research institute. These are some of the features that the data, unfortunately, do not possess. This paper supports the theory that there is a correlation between the highest level of education completed and the probability of receiving welfare. Thus, more educated individuals are less likely to be dependent on welfare. In a broader context, policymakers could use this information to find more effective means for increasing social mobility, rather than investing heavily in welfare payments. Since there is possibly an inverse relationship between education and welfare, the federal government could create a new program to subsidize education rather than simply making payments to disadvantaged citizens. This would provide an economic incentive for individuals who were previously on welfare to attend school, making the entire nation more educated and more productively efficient as a result (Brown et al, 1991). However, while this paper could be used from a policy perspective, there are some drawbacks. The relationship between education and the probability of welfare is not proven to be causal after this analysis. This is because the ceteris-paribus condition does not hold true throughout the data and regression. In addition, this dataset has a limited scope regarding population characteristics. The dataset indicates the highest education level attained by the individual but does not indicate when they achieved that education. For example, some individuals might have dropped out of high school during their youth and returned to complete their high school degree after a long period of time. If that information is also provided in the dataset, that would open new frontiers on how education-level attainment influences the probability of receiving welfare. Before any change is enacted, especially on a governmental level, first proving a causal relationship would be recommended. This paper merely lays the framework for possible studies regarding welfare analysis in the future. This paper did support the hypothesis that as education levels rise, the probability that an individual becomes dependent on welfare decreases. Through the regression analysis, it was determined that there is a small, yet statistically significant, difference that education has on the probability of receiving welfare in the future. This trend could be utilized by policymakers to stimulate education as a means of reducing welfare dependency, creating a population that is not only less dependent on welfare payments, but more educated, and more productive as a result. Note: see "Full Editions," Volume IV Issue I for appendix. VIII. References Arranz, Jose Ma, and Muro, Juan. "Recurrent Unemployment, Welfare Benefits and Heterogeneity." International Review of Applied Economics . 18, no. 4 (2004): 423-41. Arulampalam, W. "Unemployment Persistence." Oxford Economic Papers . 52, no. 1 (2000): 24-50. Bakas, Dimitrios, and Papapetrou, Evangelia. "Unemployment by Gender: Evidence from EU Countries." International Advances in Economic Research. 20, no. 1 (2014): 103-11. Bick, Alexander, Fuchs-Schündeln, Nicola, and Lagakos, David. "How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications." The American Economic Review. 108, no. 1 (2018): 170-99. Brown, Phillip, and Lauder, Hugh. "Education, Economy and Social Change." International Studies in Sociology of Education. 1, no. 1-2 (1991): 3-23. Cliff, Aiden, Rupp, Matthew, Lieng, Owen. “ A Study on the Relationship Between Education and Probability to Receive Welfare Assistance.” Boston University (2020): 204 Courtney, ME. "Race and Child Welfare Services: Past Research and Future Directions." Child Welfare. 75 (1996): 99. Gooden, S. (2000). Race and Welfare. Journal Of Poverty , 4 (3), 21-24. https://doi.org/10.1300/J134v04n03_02 Haveman, Robert, and Timothy Smeeding. "The Role of Higher Education in Social Mobility." The Future of Children 16, no. 2 (2006): 125-50. Accessed April 28, 2021. http://www.jstor.org/stable/3844794 . Hernæs, Ø., Markussen, S., & Røed, K. (2017). Can welfare conditionality combat high school dropout. Labour Economics , 48 , 144-156. https://doi.org/10.1016/j.labeco.2017 . 08.003 Hoffman, Saul. "Marital Instability and the Economic Status of Women." Demography 14, no. 1 (1977): 67-76. Johnson, D. (2019). What Will It Take to Solve the Student Loan Crisis. Harvard Business Review. Retrieved 29 April 2020, from https://hbr.org/2019/09/what-will-it-take-to-solve-the-student-loan-crisis . Kim, Hwanjoon. "Anti‐Poverty Effectiveness of Taxes and Income Transfers in Welfare States." International Social Security Review. 53, no. 4 (2000): 105-29. London, R. (2005). Welfare Recipients' College Attendance and Consequences for Time-Limited Aid. Social Science Quarterly , 86 , 1104-1122. https://doi.org/10.1111/j.0038-4941.2005.00338 . London, R. (2006). The Role of Postsecondary Education in Welfare Recipients' Paths to Self-Sufficiency. The Journal Of Higher Education , 77 (3), 472-496. Retrieved 28 April 2020, from https://www.jstor.org/stable/3838698 Pacheco, G., & Maloney, T. (2003). Are the Determinants of Intergenerational Welfare Dependency Gender-specific. Australian Journal Of Labour Economics , 6 (3), 371-382. Retrieved 28 April 2020, from https://www.researchgate.net/ publication/46557521_Are_the_Determinants_of_Intergeneration al_Welfare_Dependency_Gender-specific Stephens, Melvin, and Yang, Dou-Yan. "Compulsory Education and the Benefits of Schooling." The American Economic Review. 104, no. 6 (2014): 1777-792.

The Brown University Journal of Philosophy, Politics, and Economics (JPPE) is a peer reviewed academic journal for undergraduate and graduate students that is sponsored by the Political Theory Project and the Philosophy, Politics, and Economics Society Program at Brown University. The Brown Journal of Philosophy, Politics & Economics Volume IV, Issue II scroll to view articles current issue Philosophy Interpersonal Remembrance and Mnemonic Wronging Andrej Gregus Shoring Against Our Ruin An Investigation of Profound Boredom in our Return to Normal Life Virginia Moscetti Unwitting Wrongdoing The Case of Moral Ignorance Madeline Monge Read More Politics Refuting the myth of progressive secularism An Analysis of the Legal Frameworks Surrounding Religious Practice in France and Bahrain Bridget McDonald Ronald Reagan and the role of humor in American movement conservatism Abie Rohrig Read More Economics The relationship between education and welfare dependency Aiden Cliff Against the Mainstream How Modern Monetary Theory and the Myth of Millionaire Tax Flight Challenge Conventional Wisdom Justin Lee Read More Applications for JPPE will resume in the fall! See Available Positions

Does Social Media Strategy Help Politicians Stay in Power? Comparing the Cases of Modi and Bolsonaro Wendy Wang Author Aimee Zheng Kate Tobin Editors Introduction While social media was initially touted as a force for good, such as its use during the Arab Spring’s pro-democracy protests in 2011, recently, major platforms have faced criticism for failing to sufficiently combat political disinformation and election interference. After all, one of the major controversies during the 2016 American presidential elections was the revelation of Russian meddling attempts on social media. Therefore, this paper will investigate the dynamics between social media strategies and political success, while also examining its larger effects on public discourse, voters, and political communication. It seeks to understand how leaders employ the digital sphere to gain and remain in power, with a focus specifically on populist leaders in semi-democratic states, namely Narendra Modi in India and Jair Bolsonaro in Brazil. The relative similarity of the regimes in which Modi and Bolsonaro rose to power enables a more precise isolation of the factors that have contributed to their distinct political outcomes. This comparative analysis aims to offer insight into the evolution of social media's impact on politics, and its implications for the resilience of populist leaders in semi-democratic regimes. Analyzing Politicians’ Relationship with Mass Media in Semi-Democratic and Democratic Countries While social media platforms were originally touted as a potential force for positive political change, such as during the Arab Spring, when they were used to coordinate and mobilize citizens to protest against authoritarian regimes,his quickly shifted when non-democratic actors realized they could also utilize social media just as effectively as pro-democracy activists to sow discord. In the case of the Arab spring, governments tracked protestors online, including those overseas, and attempted to silence them through relational repression, or threatening to hurt their relatives at home. Governments also pass legislation under the pretense of making the internet “safer,” yet in reality, such measures are often utilized to silence dissent. For example, in 2020, Turkey passed a law that allegedly aimed to curb “immoral” content.this legislation, however, also granted the Turkish government the right to remove content from platforms, and allowed for the storage of Turkish users’ data within the country. In 2022, Turkish President Recep Tayyip Erdoğan went even further, passing disinformation legislation that punished those who spread news that was inaccurate with up to five years in prison. Right before the 2023 parliamentary and presidential elections, Erdoğan then forced X (formerly Twitter) to ban access to several local opposition public figures’ accounts. Even before the popularization of social media, politicians placed significant emphasis on cultivating their public image to maximize electability, and have had to adapt as new mediums that have arisen. Politicians who quickly adapt to new forms of media have always gained an advantage. One of the most famous examples of this is the 1960 Kennedy-Nixon presidential debate, which was the first televised debate between American presidential candidates. Reportedly, viewers of the debate believed Kennedy won, while radio listeners tended to believe that Nixon performed better – a phenomenon that scholars have since replicated in experiments. Thus, it is possible that Kennedy’s adeptness in harnessing this newfangled technology just as it became commonly used among the general electorate contributed to his electoral victory. Politicians in today’s current political climate have similarly adapted to new mediums – notably social media – to gain electoral advantages. During the 2016 presidential elections, Donald Trump’s campaign benefited significantly from utilizing the expertise and staff of technology firms. S This advantage stemmed from the active involvement of social media companies such as Facebook, Twitter, and Google which initially courted political campaigns by providing advice on leveraging their platforms for digital advertising. This assistance enabled Trump’s campaign to target key demographic groups, swing voters, and supporters online, likely mitigating the Trump campaign’s relative staffing disadvantage.. In contrast, Clinton’s more well-funded and staffed campaign meant that it crafted most of its ads in-house, and treated the technology companies more like vendors instead of consultants. Even without the help of tech companies, politicians are recognizing the importance of utilizing data to effectively target key voters on platforms. For example, in the UK, Vote Leave, which campaigned for the UK to leave the EU ahead of the 2016 Brexit referendum, utilized personal data to target specific demographics and test which narratives voters were the most responsive to. The utilization of citizens’ data to more accurately target them with political messaging has, however, attracted controversy. This public controversy that such microtargeting attracts is exemplified by the Cambridge Analytica scandal in 2018, which revealed that the company collected the information of over 50 million Facebook users without their consent through a Facebook app that misleadingly told users that their information would be used for academic purposes. That data was ultimately used by the Trump campaign to precisely target voters, although whether this method was truly effective at swaying voters is uncertain.,, Interestingly, Trump had significantly more engagement with his social media content, following the old adage of “all press is good press,” which allowed him to overcome his disadvantage in traditional campaigning techniques. In particular, his provocative tweets received significant organic coverage from mainstream media, which allowed him to spend less on traditional media advertising. Additionally, Trump’s combative approach to tweeting proved effective, as an analysis of tweets before the 2016 election found that tweets about Clinton tended to be unfavorable.furthermore, her most popular tweets primarily focused on criticizing Trump rather than promoting her own candidacy. This is potentially reflective of a larger bias among social media algorithms, which have found that negative content is more likely to go viral. Therefore, it is unsurprising that in the 2016 election, negative content gained the most traction, reflecting the importance of social media in allowing politicians to personalize their appeals to voters. In recent decades, politicians have increasingly personalized their media strategies, conducting campaigns that encompass both their political agenda and personal brand. Media coverage not only focuses on the politician's policies and leadership capabilities, but also on their private life. While this behind-the-scenes content is, in general, generally just as polished and curated as performances on the campaign trail, by claiming to give voters a peek into their private life and personality, this content seeks to make the candidate more relatable and endearing to voters. Consequently, Trump’s openness about his extreme views and his use of colloquial language added an air of authenticity to his social media content that enhanced his populist claim of being of the masses. Trump’s social media presence, in particular, thus underscores how the advent of social media has opened up new avenues and methods through which politicians cultivate authenticity in pursuit of electoral success. By removing barriers between politicians and voters, social media allows politicians to communicate more directly with the electorate in an intimate and personal manner. This communication feels even more intimate now that social media has become synonymous with authenticity. Moreover, social media platforms provide politicians with the opportunity to strategically showcase their personality. Trump, in choosing to disregard basic grammatical and spelling rules and post rambling tweets, employed indexical signs, or signals alluding to his persona, to cultivate an appearance of authenticity. These distinctive features of his social media content seem to indicate that his tweets are a truer reflection of his personality relative to other politicians (such as Hilary Clinton) who sign off their tweets with their initials. Trump’s success also highlights how populist leaders are particularly well-positioned to benefit from the digitalization of the public sphere and the growing forms of direct communication between politicians and voters. The establishment of closer bonds between politicians and their support base make it easier for anti-establishment populists’ to fuel distrust in mainstream media and present alternative versions of facts. Consequently, populist and authoritarian leaders utilize social media to directly appeal to the public, bypassing critical voices like investigative journalists, thereby facilitating the spread of misleading or false information, as demonstrated by Donald Trump. Background on Modi and Bolsonaro Modi has been India’s Prime Minister since 2014, when his party, the Hindu nationalist Bharatiya Janata Party (BJP) won a landslide majority in India’s parliament. He is currently serving his second term as prime minister, following the BJP’s success in the 2019 elections. As a boy, Modi joined the Hindu nationalist paramilitary organization ‘Rashtriya Swayamsevak Sangh’ (“National Volunteer Association,” or RSS), which heavily shaped his life and worldview. The RSS is a far-right Hindu nationalist group advocating for the establishment of a purely Hindu nation. Their vision leaves no room for India’s Muslim minority, leading to frequent accusations of inciting hatred towards Muslims. Modi dedicated almost 3 decades to organizing on behalf of the RSS, which is closely associated with the BJP. This ultimately played a significant role in propelling Modi to the forefront of the BJP’s electoral campaigns. He eventually became a BJP party spokesperson, establishing his public presence. He was subsequently appointed as the chief minister of Gujarat in 2001, during which time the state’s economy grew rapidly. India’s media landscape is fairly varied, as popular sources of news include everything from legacy publications such as The Times of India , to broadcasters such as NDTV, and BBC News, which tend to be relatively unbiased. Over 70 percent of Indian consumers get their news from their phones, and YouTube is a particular popular platform for accessing news. Notably, Indians are particularly interested in hyperlocal news, which they obtain through small, local publications and WhatsApp groups. That being said, India is one of the most dangerous places to be a journalist, and, in recent years, press freedom has declined as Modi and the BJP have increasingly attacked the freedoms of speech, judiciary, religion, and protest. Because of this, journalists often shy away from criticizing the government or reporting critically on the government out of fear of retribution.,, Jair Bolsonaro was the president of Brazil from 2019-2023, who after leaving the military, was elected to Rio de Janeiro’s city council, and then later represented the city in Brazil’s Chamber of Deputies. He gained notoriety for his extremely conservative social views, and numerous sexist, homophobic, and racist comments. He also exhibited nostalgia for the previous dictatorship, a sentiment that persisted throughout his campaign and presidency. In 2018, amid widespread discontent following simultaneous economic, political, and social crises due to major corruption scandals, Bolsonaro won the presidency. However, his presidency was plagued by numerous controversies, including his deforestation of the Amazon and most notably, his poor handling of the COVID-19 crisis. During the pandemic, he seemingly expressed indifference to the deaths of hundreds of thousands of Brazilians due to his lax COVID-19 policies, mocked those with severe cases of COVID-19, touted unproven drugs, and refused to wear a mask or get the vaccine. Furthermore, after losing his bid for reelection in the fall of 2022 and sowing distrust in the electoral system in the months leading up to the election, on January 8, 2023, Bolsonaro’s supporters attacked numerous Brazilian government buildings in protest of the results, an event that parallels the events in The United States on January 6, 2021. Brazil’s media landscape is dominated by several large private media conglomerates, including Globo, Record, SBT, Bandeirantes, and Folha, which are owned by politically connected individuals who distort coverage favorably. Similar to India, Brazilians also increasingly access news through their smartphones, and especially through YouTube, WhatsApp, and Facebook. Disinformation, especially in political discourse and online, continues to be a problem, although it was especially severe under President Bolsonaro, who frequently attacked the press. Folha, one of the major media conglomerates, even pulled its content from Facebook from 2018-2021 over fake news concerns., Moreover, Brazil is also one of the most dangerous places to be a journalist, as journalists have been killed by criminal groups, especially when reporting on Amazon-related environmental issues. Analysis Both Modi and Bolsonaro have taken fairly personalized approaches to social media. However, while Bolsonaro adopted this approach largely out of necessity, Modi’s decision to do so was a calculated one, as part of his general personalization of Indian politics. Thus, while Modi’s success mirrors those of leaders such as Erdoğan, who actively distort social media, in favor of their own regimes, through laws and the parliament, Bolsonaro appears to more closely resemble less successful populists like Trump. In Brazil, historically, airtime on radio and TV was one of the decisive factors in the election. This changed with Bolsonaro’s election, however, as he had less than 1 percent of all airtime. His ability to capture voters heavily active on social media and his ability to dominate conversations on those platforms helped him mitigate this disadvantage. Bolsonaro upended this traditional advantage through his personalized approach to social media, and especially his activity on the extremely popular WhatsApp. Similar to Trump, his lack of resources for a full-fledged marketing team turned out to be an advantage. Bolsonaro allegedly personally managed his WhatsApp account, and would heavily record his events, which his staff would then forward to supporters through his massive network of WhatsApp groups. Similar to how Kennedy leveraged televised debates to garner voter support, Bolsonaro’s “guerrilla marketing” capitalized on social media, proving particularly effective among its users. Consequently, it is unsurprising that Bolsonaro supporters had the highest rate of social media usage among supporters of all the major presidential candidates. However, it is possible that the personalized nature of Bolsanaro’s social media strategy arose from insecurity and personal hypersensitivity to criticism than from deliberate strategy. At one point, Bolsonaro posted a whole video on social media just to deny reports that he went to the hospital because of illness, instead claiming that he was at the hospital for “personal reasons.” Furthermore, during his 2018 campaign, there were strong accusations and evidence that he had encouraged supporters to pay digital marketing firms to flood WhatsApp with thousands of attack ads, implying that his own campaign team did not have the funds to do so. Consequently, Bolsonaro also resembled Trump in how he overcame a traditional media disadvantage through utilizing free press from posting inflammatory statements on social media that led to free, organic coverage in the mainstream media. Similar to Trump, Bolsonaro’s tendency to make extremely “politically incorrect” and offensive statements was endearing to supporters, who viewed his bluntness as a signal of authenticity. Modi was an early adopter of X, using it to interact with other politicians, convey his policy objectives, and notably, integrate social media into his campaign strategy well before the 2014 elections. But unlike Bolsonaro, Modi’s decision to do so was not out of lack of access to other forms of political messaging. Rather, this was the product of an extensive in-house public relations team and public relations firms that decided to intentionally cultivate an image of Modi as accessible to the people. Therefore,Modi’s ability to cultivate a social media presence that exudes authenticity authentically , especially during the 2019 elections, underscores his success at positioning himself at the center of the BJP’s political strategy. Notably, in both India and Brazil, Bolsonaro and Modi took advantage of WhatsApp’s popularity to coordinate campaigns and spread misinformation through a network of group chats that were extremely difficult to shut down. Not only does WhatsApp’s decentralized nature allow new groups to pop up easily after groups are shut down, but the app’s end-to-end encryption also makes it hard to monitor and identify the spread of misinformation within these groups. In India, the ruling BJP party pioneered the use of social media ahead of the 2019 elections, the first national election where a substantial proportion of the population, around 45 percent, had smartphones, compared to around merely 15 percent in 2014. The BJP effectively utilized group chats in WhatsApp, a platform which the vast majority of Indian smartphone users have downloaded, to target and spread regionally specific messaging, mirroring Trump campaign’s use of Facebook data to similarly micro-target key demographics. Specifically, in India, politicians relied on a network of hundreds of WhatsApp groups, each based in different regions, to coordinate and convey campaign messaging and logistics to supporters. Modi and his staff tailored tweets and messaging strategies, which were then shared with a network of hundreds of thousands of volunteers, who spread the messaging by the millions. In these group chats, the BJP also pushes rhetoric and disinformation that aimed to inflame religious tensions and stoke fear of the Muslim minority among India's majority Hindu population. Examples of disinformation included pornographic deepfakes of reporters critical of Modi’s role in anti-Muslim riots as governor of Gujarat, as well as less directly insidious falsehoods, such as inflated crowds sizes at his rallies., Similarly, in Brazil, where WhatsApp is one of the primary sources of information for its 120 million local users, Bolsonaro supporters paid digital advertising firms to run attack ads in various WhatsApp groups. Here, Bolsonaro’s supporters exploited the intimacy of these groups, similar to Modi and the BJP, enabling them to hyper-specifically target various groups, often with disinformation that spread rapidly and extensively. However, in Brazil, Bolsonaro’s digital content mostly preyed on the fears of those with socially conservative views and dissatisfaction with the establishment. Therefore, prime examples of popular misinformation on WhatsApp include a deep-faked image of former president Dilma Roussef next to Fidel Castro, and a picture allegedly depicting two male employees from Globo, one of the major media companies in Brazil, kissing, which was actually taken at a pride march in New York. Bolsonaro’s network of WhatsApp groups also shared the social media of those critical of Bolsonaro and coordinated mass campaigns attacking critics. More broadly, while both Modi and Bolsonaro rely on WhatsApp as the primary platform for disseminating election-related disinformation, they have extended their operations to other platforms as well. Bolsonaro exploited the popularity of online, partisan sites and social media as sources of news to spread information. A study of the Brazilian 2022 elections found that those who joined political groups on messaging apps such as WhatsApp and used partisan, online sites and social media as their sources of news were more likely to believe in election related-misinformation. Furthermore, every week Bolsonaro live streamed on YouTube, aiming to directly deliver disinformation to his supporters. In these streams, he primarily attempted to discredit the mainstream media, claiming to speak the authentic truth, despite primarily propagating borderline propaganda. Yet notably, unlike Modi, most of his attempts to reduce the independence of the press and institutions was primarily through rhetoric rather than direct suppression and censorship. Modi’s efforts to exploit social media to silence dissent were more extensive and refined, and contributed to his ability to concentrate power in a way Bolsonaro was unable to. Furthermore, he continues to actively suppresses critical content, recently banning access to a BBC documentary investigating his role in a deadly 2002 riot while he was Governor of Gujarat. Modi also weaponizes the regulation of platforms to coerce them into complying with content takedown requests. In 2021, Modi implemented new IT rules under the pretense of combating misinformation. However, these rules, which forced social media companies to hand over user data, take down any content the government deems “restricted,” and hire a local Chief Compliance Officer, seemed to be designed to facilitate the government’s ability to coerce platforms to remove unfavorable content. Under these new rules, the government threatened to sue X and even raided its Indian offices after it labeled BJP politicians’ tweets as manipulated media. Furthermore, Modi has been unafraid to go after major tech companies, and has exploited their fears of being cut off from the massive Indian market. Modi has also pressured X to block access in India to the accounts of Sikh activists and those who are critical of Modi. Modi has not hesitated to punish platforms who resist his demands, and has threatened to jail employees of companies such as Facebook for noncompliance with censorship requests. Furthermore, platforms have also found themselves caught up in the backlash after geopolitical spats. In the wake of deadly clashes at the India-China border in 2020, Modi banned TikTok. Notably, both Modi and Bolsonaro have employed social media platforms to spread false information that contributes to and exacerbates platform violence outside of elections. However, Modi is much more effective at intimidating potential dissenters and translating his network of supporters into tangible organized acts of violence. Modi’s ability to incite violence and his exploitation of and leaning into Hindu nationalism through the spreading of fake news about Muslims or lower castes has inflamed tensions and motivated real-life mob violence and hate crimes. Modi, however, has consistently refused to acknowledge acts of Hindu nationalist mob violence., Bolsonaro intentionally spread false rumors about voter fraud and irregularities in Brazil’s digitalized voting system. These actions resulted in him him having to participate in a runoff in 2018 and ultimately to his electoral loss in 2022. He spread these lies through interviews with traditional media and through directly appealing to users with disinformation on online platforms, for example, through his weekly YouTube live streams. These disinformation campaigns culminated in the January 8th riots in 2023. Unlike Modi, who was running for re-election, Bolsonaro’s social media strategy mirrored Trump’s in that his spreading of misinformation likely came from a place of weakness. Leading up to the presidential election in both instances, Bolsonaro and Trump both had seemingly long odds. Additionally, both of their social media strategies were influenced by their campaign’s limited resources. Therefore, it is likely that Bolsonaro’s dissemination of disinformation regarding electoral fraud in anticipation of the 2018 election stemmed from a sense of insecurity. After all, if Bolsonaro were genuinely confident he was going to win the election, he would not have prepared an explanation for a potential loss before the election even happened. Bolsonaro’s encouragement of violence following the 2022 elections also likely came from feelings of vulnerability and anger at the perceived humiliation of not winning the election. Contrary to Modi, however, outside of social media platforms, Bolsonaro’s network of supporters are less organized, and therefore, have engaged in less acts of violence and physical intimidation. Even the largest violent outbreak under Bolsonaro, the January 8th protests, were nowhere near as deadly or violent as Modi’s army was, as it was more of a last-ditch attempt at holding onto power rather than an intentional, organized, than a demonstration of strength., Similar to Trump, the January 8th riots in Brazil can be interpreted as a product of Bolsonaro lashing out due to a feeling of powerlessness and refusal to accept what he perceived as the embarrassment of not winning the election. Yet, despite the importance and widespread use of social media in the Bolsonaro’s campaigns, Bolsonaro was ultimately unable to retain power due to the differences in political structure between India and Brazil. Brazil has a federal presidential republic, meaning that similar to the US, power is split among the different executive, legislative, and judicial branches, and thus the president inherently has much less authority than the prime minister in India. Because of this, the other branches of government were able to check Bolsonaro’s authoritarian impulses. Specifically, the Brazilian Supreme Court, with its criminal jurisdiction over all public officials, including the president, as well as the Congress’ refusal to endorse Bolsonaro’s assault on judicial institutions, played significant roles in restraining him. Therefore, the judicial branch, in particular, was able to nullify Bolsonaro’s worst attempts at censorship or influencing social media to portray him more favorably. For example, in 2021, when Bolsonaro attempted to ban social media platforms from taking down certain types of misinformation, including misinformation about COVID-19, the Supreme Court and Brazilian Senate nullified the legislation. When Bolsonaro supporters refused to accept his defeat, one of Brazil’s Supreme Court justices ordered the accounts of some of the loudest protesters suspended. As a result of the January 8, 2023 riots, during which Bolsonaro supporters stormed government buildings in protest of the election results, the Superior Electoral Court banned Bolsonaro from running for election again until 2030. Therefore, Bolsonaro's political downfall demonstrates the limitations of social media propaganda when faced with strong institutional checks and balances. In contrast, India is a federal parliamentary republic, which generally leads to much more powerful heads of government, since the prime minister is determined by the majority coalition in the legislative branch. Thus, unlike in Brazil, in this political system, the executive branch inherently has influence over the legislative branch, which enabled Modi to shape government opinion much more rapidly. Therefore, while the combination of the independent judiciary and congress restrained Bolsonaro, Modi has been able to successfully erode the independence of government institutions, including the judiciary, which he has weaponized against opposition politicians through promoting friendly judges and punishing defiant ones. Thus, Modi bears similarity to Viktor Orban in Hungary, who was able to quickly weaken independent institutions due to his unified parliamentary supermajority. Furthermore, he also bears resemblance to Erdoğan, who held a 2017 referendum that amended Turkey’s constitution from a parliamentary to a presidential system. Erdoğan’s presidentialization of a parliamentary system allowed him to consolidate the powers of the leaders in a presidential and parliamentary system into one role while reducing the checks on these powers. Essentially, Erdoğan had centered his party's campaign for seats around his personal appeal, instead of the party's Similarly, Modi’s rise to power in 2014 diverged from historical norms in that, unusually for a parliamentary system, the BJP’s campaign centered around Modi’s appeal as prime minister. This presidentialization of parliamentary elections foreshadowed his ensuing consolidation of power. It is also important to consider how each leader fits into the broader historical context of their respective countries. Most importantly, Modi's social media disinformation campaigns are able to exploit tensions between different ethnic groups that have been present since India gained independence from the British. While Modi has increasingly centralized power under his leadership, his actions must be interpreted and understood in the context of his longstanding commitment to creating a Hindu nation, which has motivated him since he first joined the RSS as a youth. Modi’s actions and ideas align with a larger movement that has been in the works for far longer than he has been in power. Therefore, to understand Modi’s underlying motives, it is important to keep in mind historical events such as the bloody partition of the Indian subcontinent and the history of discrimination against Muslims in India. Since the chaotic 1947 partition of the Indian subcontinent into India and Pakistan, which was done largely along religious lines and led to the death of approximately a million people, Muslims in India have continued to face discrimination. Modi has regularly deployed internet blackouts to silence dissent in the Muslim-majority federally administered Jammu and Kashmir states, which, in 2022, had the most internet shutdowns globally. Under Modi, anti-Muslim lynchings and hate crimes have risen rapidly, and Modi and the BJP have encouraged the spread of Islamaphobic conspiracy theories, such as the COVID-19 pandemic being a “Muslim plot.” Therefore, Modi’s ability to capitalize on the significant issue of religious divisions and focus his social media disinformation efforts around this specific issue, in a manner Bolsonaro could not, have contributed to his enduring resilience. In contrast, Bolsonaro relied on a broader variety of societal tensions,and it is probable that his inability to channel his efforts around a single issue contributed to his ultimate downfall. Bolsonaro positioned himself more generally as a populist outsider who was a break from the establishment. He fed on Brazilians general sense of discontent stemming from general political and economic turmoil to rise to power. However, once he was in office, despite attempting to frame himself as “anti establishment” and railing against “mainstream media,” he could no longer be considered as an outsider. Moreover, unlike Modi, who had substantial governing experience and political organizing experience from his time as governor of Gujarat and his work volunteering for the RSS, Bolsonaro’s status as a relative novice, which was especially evident during his poor management of crises like the pandemic. Before becoming president, Bolsonaro had only served as a legislator, and had limited connections within government, having spent most of his previous political career at the fringes of governmental circles. Furthermore, Modi’s close ties and history with the BJP and RSS naturally provided him with a significantly stronger and more entrenched base of support, forged over decades of advancement through the party ranks. In contrast, Bolsonaro’s frequent switches between political parties, both over the course of his career and even during his presidency, left him isolated and unable to secure substantial support in Congress. Therefore, Bolsonaro’s loss suggests that while social media may have propelled his unlikely presidency, it was not sufficient to maintain his grip on power, particularly coupled with his relative political inexperience. Furthermore, the resilience and independence of civil society and press in Brazil compared to India also helped curb Bolsonaro’s attempts to consolidate his power. For example, as soon as Bolsonaro was elected, protests broke out in several cities. Despite his initial threats to jail left-wing protesters, these threats proved empty as mass protests continued to occur during his presidency., Furthermore, interestingly, Bolsonaro’s attacks on journalists, instead of having a demoralizing effect, actually invigorated journalists, strengthening their resolve and resilience. In contrast, under Modi, the independence of the Indian press has been substantially eroded. The collective efforts of Modi’s online army of trolls, which issues death and rape threats, along with the BJP’s direct intimidation of critical journalists, and the pressuring of media companies to fire or punish disobedient reporters, have effectively coereced many journalists into self-censorship due fear of retribution. For example, in 2018, the gang-rape and murder of an eight-year-old Muslim girl who was kidnapped and tortured for days by a group of Hindu men only gained national coverage after foreign publications picked the story up. Even so, coverage was limited, especially since the BJP organized a rally in support of the accused rapists. Conclusion While both Modi and Bolsonaro disseminate fake news on social media to circumvent traditional media barriers and communicate directly with the electorate, their attempts to control the narrative stem from different motivations. Modi operates from a position of strength,silencing dissenting opinions and consolidating power across the state, whereas Bolsonaro operates from a position of weakness, striving to preserve his tenuous grip on power. Additionally, it appears that while social media strategy played a substantial role in both Bolsonaro and Modi’s rise, it was ultimately external factors specific to their broader context, namely the strength of political institutions and social cleavages that facilitated one’s success over the other. 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Margherita Pescarin Kierkegaard’s advice on how to subjectively relate to the uncertainty of death: The “right” way is the pathless way Margherita Pescarin In Tolstoy’s The Death of Ivan Ilych , Ivan Ilych, struck by a terminal illness, comes “face to face with his own mortality and realizes that, although he knows of it, he does not truly grasp it,” (1) since “death is always uncertain ” (2). For the purposes of this essay, I will show how Ivan Ilych can effectively grasp the uncertainty of his own death. Firstly, I will illustrate how, according to Kierkegaard’s pseudonym, Climacus, in Concluding Unscientific Postscript , one can subjectively seek knowledge of what it is to die by using the concept of essential knowing —that is, by asking what death “means to you” as an individual whose essence is existence. Secondly, I will apply Climacus’ teachings to clarify how Ivan Ilych managed to subjectively relate to the uncertainty of death by seizing the moment in passion at the end of his life. I draw from the model of the servant Gerasim, a character in Tolstoy’s novella. Lastly, I will consider a problematic contradiction in Kierkegaard’s philosophy that might arise when one attempts to subjectively relate to the uncertainty of death. Yet, I argue that one needs to be charitable in criticizing Kierkegaard’s philosophical project. His works , because he wrote under pseudonyms, and his life , because he failed to become a knight of Christian faith, are merely suggestions for becoming subjec- tive: the “highest task set for human beings” (3). Therefore, I advise Ivan Ilych that the “right” way to grasp the objective uncertainty of death is to seize the moment in passion for the infinite by taking the pathless way . To understand how Ivan Ilych can subjectively seek knowledge of what it is to die, I will clarify the distinction between the objective and subjective search for knowledge. Granted that there are significant objective truths “out there” in the world—say, mathematical laws, for example—Climacus claims that what matters is not the objective truth itself, but how human beings as existing in the world relate to these objective truths. Individuals can relate to them either by objective reflection or subjective reflection (4). Early modern epistemologists, such as Descartes, took the path of objective reflection to tackle the fundamental question of how to gain knowledge. They chose to mirror truth as an object disconnected from the individual human being. This objective mode of reflection creates an impersonal relation between subject and object, which philosopher Rick Furtak calls “the scandal of modern philosophy,” because it over-theorizes truth, remaining indifferent to the subject’s existence.5 Suppose I, an epistemic agent, relate to the physical law “water boils at 100°C” by objective reflection, meaning I come to know the law abstractly . There is no interest for me in knowing that “water boils at 100°C,” unless I can make it personal to my own life by understanding—hence knowing— how to use this law. For example, by concretely applying the law to my everyday life because I want to boil rice, I’ve come to make this law personal to my life. What matters to me, as an individual who exists in the world, is how I can relate to the objective truth that “water boils at 100°C” by subjective reflection , or better, by subjectively seeking knowledge . Simply put, if the law sits in a textbook, I might learn it by memory, relating to it objectively as an abstract piece of knowledge in my mind. Only when I relate to it subjectively, by applying it in a concrete situation of life, do I come to know the law by heart. Conversely, the path of subjective reflection implies that knowledge belongs to the individual who essentially exists in the world, someone whose existence is the fundamental and first feature of being alive in the world. Thus, the knower is the one who exists because existing is what is essential. Climacus refers to this knowledge acquired by subjective reflection as essential knowing . This is also known as the ethical knowledge “that relates to the knower, who is essentially someone existing” (6). Ethical knowledge is the most important kind of knowledge for Climacus because it forces us to think about our own existence, the fundamental feature of being human. To demonstrate the importance of ethical knowledge, Climacus recalls the figure of Socrates, whose merit was “to be an existing thinker, not a speculator who forgets what it is to exist” (7). Socrates was concerned with obtaining practical wisdom rather than acquiring items of theoretical knowledge simply for the sake of knowing. As someone who existed, Socrates was interested in what existence meant to him and how he ought to live a “good” life as an “active” moral agent rather than a “passive” observer (8). On this line of thought, Climacus asserts that “the ethical [i.e. becoming subjective] is [...] the highest task for human beings,” (9) which is “over only when life itself is over” (10). As a result, the ethical question humans cannot dismiss is what it is to die (11). To grasp what it is to die, Climacus lists ordinary beliefs people hold about death (12). For instance, people believe there are different kinds of deaths. Science states that with death comes rigor mortis : post-mortem rigidity. That is an instance of understanding death by objective reflection. However, Climacus argues that when one inquires into death by objective reflection one can learn countless objective facts about death and yet remain “very far from having grasped death” (13). As a result, Climacus says that death is objectively uncertain. The problem with death being so uncertain is that the fear associated with this uncertainty spreads “into every thought” (14). Especially, “[i]f death is always uncertain, if I am mortal, then this uncertainty cannot be understood in general terms,” because someone living cannot approach death without dying (15). Hence, the solution Climacus proposes is to undertake subjective appropriation of objective uncertainty. Firstly, to grasp death, one must think about it in every moment of his life, “for since [the uncertainty of death] is there at every moment, it can only be overcome by [one’s] overcoming it at every moment” (16). Again, since the fear associated with not knowing what to expect of death in objective terms is always there, one must always confront this fear in order to overcome it. Moreover, one should not simply ask what it is to die, but rather what death “means to me.” This suggests there is an ethical question involved in how to give meaning to the uncertainty of death by actively thinking about it—that is, in forming an intention of how to live a “good” and meaningful life before death comes. As Climacus articulates it, in thinking about the objective uncertainty of death in every moment of one’s life, the living individual prepares himself to die and alters his perspective on how he ought to live (17). Above all, stated by Climacus, the single best way to subjectively relate to the objective uncertainty of death is to seize the moment in passion (18). In The Concept of Anxiety , another Kierkegaardian pseudonym, Vigilius, argues that the moment is the eternal figurative place in which “time and eternity touch each other, and with this the concept of temporality is posited” (19). That is, when the finite time and the infinite eternity clash, they produce the present moment. When a present moment adds to another present moment and so on, temporality is created. Furthermore, as Mark Bernier highlights, this temporality is “neither determined by the future nor the past, but remains open,” which means that the moments which make up temporality are always present (20). And, in their being always present, they are eternal . However, paraphrasing the Latin poet Horace: while we speak, the present moment will already have fled (21). To make the present moment the eternal moment, one has to seize it in passion for the infinite . Let me explain what I mean by using another passage by Horace. When I say that one has to seize the present moment in passion for the infinite to make it eternal, I am referring to an analogous meaning to Horace’s quote carpe diem . That means to grab the present moment: to make it eternal before it is too late. Similarly, to seize the moment in passion for the infinite is to turn the present moment into eternity before death comes. Seizing the moment in passion for the infinite is, according to Climacus, “the highest truth [...] for someone existing” (22). That is because, for Climacus, it corresponds to the highest subjective stage of existence: the ethico-religious stage. The other two existential stages in order correspond to the aesthetic and the ethical stage. In the aesthetic stage the individual is immersed in sensorial experiences and exposed to the infinite possibilities of imagination that give him short-term pleasure. In the ethical stage the individual needs to choose one of these possibilities, in order to have a meaningful and particular existence. That is, to subjectively relate to the uncertainty of death. Finally, in the ethico-religious stage, the objective uncertainty of death is overcome by having faith : in Climacus’ words, trusting in God’s will that whatever happens will be good for you (23). For Kierkegaard personally, seizing the moment in passion for the infinite meant overcoming this uncertainty with Christian faith —a blind faith in God—to reach the ethico-religious stage of existence. However, Bernier rightly points out that, although it is not immediately clear, Climacus could seize the moment in passion for the infinite at the ethical stage of existence too. For Bernier, “the highest rational stage, [...] is to make a wholehearted commitment to something” more general: to choose a passion that allows the individual to make sense of their own life (24). This choice, though, does not need to be the commitment to God that Kierkegaard tried to make in his life. Again, Bernier notices that it all depends on “the attitude one takes with respect to” the task of living a “good” life, independently of faith in God (25). Overall, Bernier thinks that Climacus allows for different ways to seize the moment in passion for the infinite, as long as one makes a wholehearted commitment to something. In The Death of Ivan Ilych , as an imminent death approaches, the protagonist Ivan Ilych realizes he did not have the “right” attitude towards life. During his life, Ilyich worked as a functionary of the Russian state in the nineteenth century. From the outside it looks like Ilyich had the most decent life: a respectable job, a loving family, and a close group of friends. However, we soon learn this is all a façade. Ilyich’s main goal is to be accepted by the members of the Russian aristocratic society and to constantly increase his wage. We also learn how few and superficial Ilyich’s interests are, including drinking and betting. One day, though, Ilyich suffers a terrible accident that radically changes his life. After falling from a chair, he begins to suffer from an invisible pain that no doctor can cure, and soon this pain turns into a terminal illness. A few days away from his death, the delirious Ilyich starts thinking about death and realizes his life has been a failure. His friends do not care about him; they only care to gossip about his illness. He will not be remembered by anyone for his dull and average career. He cannot even take pride in a loving relationship with his closest relatives because they only care about his inheritance. When the illness strikes him, Ilych knows he has to die, having learned from a textbook that “Caius is a man, men are mortal, therefore Caius is mortal,” but he is not able to grasp this abstract item of knowledge (26). The way he relates to the fact of death is utterly objective. It seems impossible to him, a concrete human, that death could concern him too. Similarly, his family and friends deceive themselves by believing death does not concern them. In facing the reality of his imminent death, a desperate Ilych asks himself general questions such as, “[W]hen I am not, what will there be?” (27). But, as Climacus demonstrated, there is no objective answer to Ilych’s question of what happens when one is dead, as no one survives to witness it (28). Eventually, the attitude of love, compassion, and pity Gerasim, his servant, shows to him forces Ilych to understand that his life was a waste because he did not live as he should have. By taking care of him as his death approaches, Gerasim shows Ilyich what he lacked in his life. Indeed, Ilyich never took care of others with genuine concern, but only cared about himself and his business. He never committed to responsibilities or tried to do anything more than what was required of him at work or in familial contexts. Ivan was receiving, never giving; he never actively worked towards an objective, but always felt entitled to ask for more—a raise at work or more respect from his family. Most importantly, Gerasim teaches him how to approach the uncertainty of death with passion, even if Ivan has only a few days left to live. Indeed, Gerasim’s joyous and sage approach to death’s uncertainty—he utters, “We shall all of us die, so why should I grudge?”—inspires Ivan Ilych to embrace the right way to live by welcoming death at his deathbed with sheer joy (29). He finally makes a wholehearted commitment to the present moment and its uncertainty. Krishek & Furtak call this joyous acceptance of the objective uncertainty of death “trust in uncertainty” (30). That is how human beings “discover the meaning of life: by being [...] receptive and accepting whatever happens” (31). In other words, being receptive is a matter of listening in silence without complaining. This is what Ivan Ilych eventually does at the end of his life, without complaining about his pain and his fear of death. Instead, his acceptance is a matter of avoiding resistance to change and welcoming death (32). Having applied Climacus’ teachings to Ivan Ilych’s case, I argue that Ivan Ilych should have lived his life by taking the pathless way . The pathless way is not an objective way equal for everyone, but a shapeless way that Ivan should have shaped according to his own subjective experience of life and death. Therefore, the “right way” to subjectively relate to the objective uncertainty of death for Ivan is to trust this uncertainty without necessarily having faith in God, as Climacus’ emphasis on the ethico-religious stage of existence suggests. The right way means seizing the moment in passion for the infinite, welcoming this uncertainty, joyfully accepting whatever happens, and making a wholehearted commitment to the inevitability of death in order to appreciate life’s surprises, as Gerasim did. Admittedly, there is a problematic contradiction for Climacus in claiming that there is a single best way to subjectively relate to the uncertainty of death. As I said earlier when discussing Bernier, I argue that Climacus allows for other ways of equal worth to make a wholehearted commitment to life and the uncertainty of death. In more detail, I argue that we should be charitable when criticizing Kierkegaard’s philosophical project of defending subjectivity as an authoritarian project that falls into objectivity . The contradiction is apparent for two main reasons (33). Firstly, the contradiction enters Kierkegaard’s works . Indeed, advocating for a single best way to subjectively relate to the uncertainty of death is to make an objective —almost authoritarian —ethical claim of how one should live his life (34). It is important to highlight that Climacus is not simply concerned with a metaphorical faith, such as trusting uncertainty in the place of trusting God, but “precisely with the problem of becoming a Christian subject ” (35). Nonetheless, Climacus insightfully asserts that “[i]t is the passion of the infinite and not its content that is decisive” (36). This alludes to the fact that seizing the moment in passion for the infinite merely provides a “how,” a form—a pathless way —whose “what,” whose content, changes for every distinct individual. Furthermore, although Climacus seems to be mainly interested in Christian faith, he also claims that “he has no opinion of his own,” as the constant use of pseudonyms in Kierkegaard’s works are all subjective (37). This points to the fact that his works neither equal Kierkegaard’s subjective point of view, nor do they refer to a possible objective take on what the absolute truth is. They offer mere suggestions , not orders, of how to seize the moment in passion for the infinite in the most personal way. Again, a striking example of this is the trust in uncertainty shown by Gerasim, who, in his appreciation of life’s simplest pleasures, in his humility and in his exercise of love, pity and compassion, accepts mortality with joy. Secondly, the contradiction enters Kierkegaard’s life . Worryingly, it seems that “[i]f we are to understand Kierkegaard and not simply make use of certain of his insights—we must keep in mind that he was throughout his life concerned with what it meant for him to become a Christian” (38). This implies that Kierkegaard’s existential philosophy cannot be separated from his endorsement of Christian faith in his life, which has led many philosophers to define Kierkegaard’s project as an archetype of Christian existentialism: a type of existentialism whose fundamental features include faith in God (39). Nevertheless, I support Holmer’s interpretation of the Kierkegaardian narrative of the stages of existence , which separates Kierkegaard’s faith from his philosophy. Indeed, it aligns with my previous interpretation of Climacus who, I have argued, allows for different ways to seize the moment in passion without implying there is a single best way to do this. For instance, by either making a wholehearted commitment to life at the ethical (non-religious) stage of existence or at the ethico-religious stage by having faith in God (40). Similarly, Holmer argues that Kierkegaard’s works “are a presentation of kinds of possibilities, [hence the stages of existence, specifically the ethical and the ethico-religious] which are neither true or false”(41). That is, again, whatever possibility the individual chooses, whatever stage of existence to seize the moment in passion for the infinite, he is not making the wrong choice, as long as this individual is showing the right attitude to relate to the uncertainty of death, hence by subjective reflection. Thus, an individual like Ivan Ilych can choose to become subjective by simply becoming ethical. That is, by trusting death’s uncertainty, without necessarily trusting a Christian God, as Kierkegaard aimed to do. Furthermore, even if one grants Kierkegaard’s faith is inseparable from his philosophy, Kierkegaard’s attempt at becoming a knight of Christian faith, meaning a devoted believer in God, was a failure. According to his extensive personal journals, he struggled all his life to find something for which to live and die. As he was never convinced that faith was the answer to his questions, he never became a devoted, fully committed believer (42). Moreover, any other attempt at becoming ethical was not successful. For example, he once fell in love with a Danish aristocrat and he proposed to her. However, before marrying her he changed his mind and left to pursue the path of faith (43). Insightfully, McLane emphasizes that Kierkegaard presumably took the path of Christian faith only out of existential frustration . This does not necessarily prove that Christian faith is not the “right” way to live a good life for anyone, but it was not the case for Kierkegaard. As McLane concludes: “Whether Kierkegaard is correct in thinking that man’s true need is for God and that Christianity satisfies this need—these are questions that can only be decided by each individual for him” (44). In conclusion, I have argued that Kierkegaard’s works, since he used pseudonyms, and his life, since he failed at becoming a knight of Christian faith, show that there is no single best way to seize the moment in passion. Therefore, we should be charitable when criticizing Kierkegaard’s authoritarianism in advocating for subjectivity, since he was also trying to make sense of death—and life—in his own way. Eventually then, I, Young Climacus, argue that in order to grasp the uncertainty of his own death Ivan Ilych should have taken the pathless wa y, trusting this uncertainty: accepting whatever happens, hence living a caring and mean- ingful life as someone who essentially exists in the world. As Lorenzo de’ Medici proclaimed: “Chi vuol essere lieto, sia:/Di doman non v’è certezza” (45). Endnotes 1 Tolstoy, Leo, The Death of Ivan Ilych: Annotated (English Edition) , 262. 2 Kierkegaard, Soren, Concluding Unscientific Postscript (Cambridge Texts in the History of Philosophy) (Cambridge: Cambridge University Press, 2009), 139. 3 Ibid, 132. 4 Ibid, 138. 5 Furtak, Rick, “Chapter 5: The Kierkegaardian Ideal of ‘Essential Knowing’ and the Scandal of Modern Philosophy,” Kierkegaard’s Concluding Unscientific Postscript: A Critical Guide (Cambridge: Cambridge University Press, 210), 87. 6 Kierkegaard, Soren, Concluding Unscientific Postscript , 166. 7 Ibid, 173. 8 Furtak, Rick, “Chapter 5: The Kierkegaardian Ideal of ‘Essential Knowing’ and the Scandal of Modern Philosophy,” 110. 9 Ibid, 136. 10 Ibid, 132. 11 Ibid, 108. 12 Kierkegaard, Soren, Concluding Unscientific Postscript , 139. 13 Ibid, 142. 14 Ibid, 139. 15 Ibid. 16 Ibid, 140. 17 Ibid, 141. 18 Ibid. 19 Kierkegaard, Soren, “The Concept of Anxiety: A Simple Psychologically Orienting Deliberation on the Dogmatic Issue of Hereditary Sin” (Princeton: Princeton University Press, 1980), 152. 20 Bernier, Mark, “Chapter 2: The Kierkegaardian Self,” The Task of Hope in Kierkegaard (Chicago: University of Chicago Press, 2015), 18. 21 Horace, The Odes and Carmen Saeculare of Horace (London 1882), Ode 1.11. 22 Kierkegaard, Soren, Concluding Unscientific Postscript , 171. 23 Ibid, 141. 24 Bernier, Mark, “Chapter 2: The Kierkegaardian Self,” 23. 25 Ibid, 24. 26 Tolstoy, Leo, The Death of Ivan Ilych: Annotated (English Edition), 854. 27 Ibid, 827. 28 Brombert, Victor, “Tolstoy: ‘Caius is Mortal,’” Musings on Mortality: From Tolstoy to Primo Levi (Chicago: University of Chicago, 2013), 19. 29 Tolstoy, Leo, The Death of Ivan Ilych: Annotated (English Edition), 953. 30 Krishek, Sharon and Rick Furtak, “A Cure for Worry? Kierkegaardian Faith and the Insecurity of Human Existence,” International Journal for the Philosophy of Religion no. 72 (2012), 171. 31 Ibid, 168. 32 Ibid, 171. 33 McLane, Earl, “Kierkegaard and Subjectivity,” International Journal for the Philosophy of Religion no. 8 (1977), 231. 34 Ibid. 35 Ibid, 216. 36 Kierkegaard, Soren, Concluding Unscientific Postscript , 171. 37 McLane, Earl, “Kierkegaard and Subjectivity,” 216. 38 Ibid, 218. 39 La Vergata, Antonello and Franco Trabattoni, Filosofia, cultura, cittadinanza 3: Da Shopenhauer a oggi (Milan: RCS Libri S.p.A, 2011), 49. 40 McLane, Earl, “Kierkegaard and Subjectivity,” 215. 41 Ibid. 42 Ibid, 217. 43 Ibid, 227. 44 Ibid. 45 In English: “Be happy if you want to,/For tomorrow is not certain.” (Getto, Giovanni, “L’enigmatico Lorenzo,” Lettere Italiane 31, no. 1 (1979): 78). Bibliography Bernier, Mark. “Chapter 2: The Kierkegaardian Self.” The Task of Hope in Kierkegaard , 1-26. Chicago: University of Chicago Press, 2015. Brombert, Victor. “1 * Tolstoy: “Caius is Mortal.” Musings on Mortality: From Tolstoy to Primo Levi, 1-12. Chicago: University of Chicago Press, 2013. ProQuest Ebook Central: http://ebookcentral.proquest.com/lib/ed/detail. action?docID=3038458. Furtak, Rick. “Chapter 5: The Kierkegaardian Ideal of ‘Essential Knowing’ and the Scandal of Modern Philosophy.” Kierkegaard’s Concluding Unscientific Postscript: A Critical Guide, 1-24. Cambridge: Cambridge University Press, 2010. Getto, Giovanni. “L’enigmatico Lorenzo.” Lettere Italiane 31, no. 1 (Gennaio-Mar- zo, 1979): 76-78. Casa Editrice Leo S. Olschki s.r.l. URL: https://www. jstor.org/stable/26258859. Horace. The Odes and Carmen Saeculare of Horace. Translated by John Conington. London, 1882. URL: http://www.perseus.tufts.edu/hopper/tex- t? doc=Hor.+Od.+1.11&fromdoc=Perseus%3Atext%3A1999.02.0025] Kierkegaard, Soren. Concluding Unscientific Postscript (Cambridge Texts in the History of Philosophy). Cambridge: Cambridge University Press, 2009. Kierkegaard, Soren. Fear and Trembling (Cambridge Texts in the History of Philosophy). Cambridge: Cambridge University Press, 2006. Kierkegaard, Soren. “The Concept of Anxiety: A Simple Psychologically Orienting Deliberation on the Dogmatic Issue of Hereditary Sin.” Princeton, New Jersey: Princeton University Press, 1980. Krishek, Sharon, & Furtak, Rick. “A Cure for Worry? Kierkegaardian Faith and the Insecurity of Human Existence.” International Journal for Philosophy of Religion 72:157- 175.Springer Science+Business Media B.V., 2012. DOI: 10.1007/s11153-011-9322-5. La Vergata, Antonello, & Trabattoni Franco. Filosofia, cultura, cittadinanza 3: Da Schopenhauer a oggi. Milano: RCS Libri S.p.A, 2011. McLane, Earl. “Kierkegaard and Subjectivity.” International Journal for the Philosophy of Religion 8: 211-232. Springer, 1977. Tolstoy, Leo. The Death of Ivan Ilych: Annotated (English Edition). Amazon Media EU S.r.l., 2019. Previous Next

Financial Literacy, Credit Access and Financial Stress of Micro-Firms Evidence from Chile Lucas Rosso Fones University of Chile Author Christopher (Casey) Lingelbach Emily Belt Orly Mansbach Editors Fall 2019 Download full text PDF (23 pages) Abstract In Chile, as well as in the majority of the economies in the world, there exists a wide range of programs targeted towards the support of micro-entrepreneurs, providing either funding for their projects or business training. Using the 2006 and 2009 Chilean Social Protection Survey (EPS) dataset, data from the Superintendence of Banks and Financial Institutions (SBIF), and using an instrumental variables (IV) approach, this article presents evidence against financial literacy training programs as it finds no significant relationship between financial literacy on credit access or financial stress of micro-firms. Moreover, using a subsample of the data, this article shows that the results must be interpreted as an “upper bound,” thus strengthening these conclusions. I. Introduction In Chile, as in most of the world, micro-firms—firms with 10 or fewer employees—play a substantial role in the performance of the economy by their contribution to production and employment. Therefore, over the last few years, authorities have developed several policies targeted to encourage entrepreneurial activities. These policies include business skills training, asset transfers and credit subsidies. For example, since 2010, a large-scale government program run by the Chilean Ministry of Social Development offers an in-kind transfer of start-up capital plus 60 hours of business training to approximately 2,000 micro-entrepreneurs each year. Due to this governmental interest in micro-firms, there is a wide literature that has studied the effect of micro-firm support on growth, unemployment, poverty, productivity, and other economic variables. Overall, the evidence leans toward a positive and statistically significant effect of credit-access programs on these variables; however, the evidence with respect to business skills is weaker. Conversely, other studies have linked financial literacy with the probability of having access to credit and the level of debt, though these studies are usually at the individual or family level. For instance, Alvarez & Ruiz-Tagle provide evidence that financial literacy is positively related to credit access, but they find no significant evidence for financial stress. Economic models of investment often rely on the assumption that firms decide the amount of capital and labor that maximizes their profit. This assumption is called the rationality of firms. Furthermore, these models evaluate the present value of the expected cash flows in relation to the initial investment. From the work of Modigliani & Miller it follows that, in a world with taxes, levered firms (companies with more debt than equity) have a greater value than non-levered firms, at the expense of a higher bankruptcy probability. However, under the assumption of rationality of firms, these models are unable to take into account the lack of financial skills of those who run the firms, which might affect their decision-making and lead them to choose sub-optimal levels of debt. This issue is especially important in micro-firms due to the often limited human capital of their owners. Thus, it is likely that micro-firms with limited financial skills hold high levels of debt or fail to renegotiate their debts, which can affect the individuals’ utility through larger levels of poverty or unemployment, among other effects. From a policymaker’s standpoint, there are two possibilities to support entrepreneurs: business training or funding support. On the one hand, business training intends to provide skills for better management of the business. For example, such training programs may provide client negotiation skills, marketing skills, working capital management, growth strategies, and more. On the other hand, funding support seeks to fix liquidity constraints which diminish the rise of new business and the prevalence and growth of existing ones. This paper intends to establish a causal relationship between financial literacy and both credit access and financial stress of micro-firms. Evidence in favor of a causal relationship would encourage the design of business training programs as a complement to the existing asset-transfer programs for micro-entrepreneurs. Using data from the 2006 and 2009 Social Protection Survey (EPS) and information from the Superintendence of Banks and Financial Institutions (SBIF) this paper presents evidence against financial literacy programs for micro-firms given that it does not find statistically significant coefficients for either credit access or financial stress. Nevertheless, a sharp reader may have concerns about the internal validity of the results as data restraints do not allow an experimental design for a specific policy. However, this paper tries to provide evidence regarding the effect of greater financial literacy on micro-firm financial decision making, giving broad conclusions on this matter and contributing to future policy design. In addition, as there are very few financial skill programs, it is unlikely that this may drive this paper’s results. Additionally, due to the endogeneity of financial literacy (the correlation of the variable and the error term used in this model), this paper proposes an instrumental variable (IV) approach, using the number of banks at a township level as an instrument for financial literacy. As it will be argued later, this instrument satisfies both the relevance and exogeneity conditions. Likewise, given the limited amount of observations that this sample contains, it is not possible to estimate the coefficients using the fixed effects model, which may drive this paper’s results. For instance, it is reasonable to think that those who appear as micro-firm owners in both years are the ones with more financial literacy, causing biased coefficients due to a non-random attrition, the process by which the strength of the relationship gradually decreases. Hence, by comparing a pooled model with a subsample of individuals only from the EPS 2006, this paper establishes an “upper bound” for the estimated coefficients. Given that this paper finds no significant results, this work supports the evidence found on other business training studies, such as the results presented by Karlan & Valdivia. The rest of the paper is divided into seven sections. Section 2 carries out a brief literature review. Section 3 describes the data, defines the main variables and presents some stylized facts. Section 4 presents the underlying economic model that sustains this investigation. Section 5 presents in detail the empirical model and discusses the main estimation problems. Section 6 shows the main results and robustness checks. Finally, section 7 presents conclusions and public policy recommendations. II. Literature Review There is a rich literature related to studying the effect of micro-entrepreneur support on poverty alleviation, unemployment, and other variables, especially regarding the evaluation of financial aid programs (credit subsidies, asset transfers, and more) and business training programs. For instance, Bruhn & Love exploit the almost simultaneous opening of more than 800 bank branches in Mexico targeted to low-income individuals, using this event as a “natural experiment.” With this experimental design and using a difference-in-difference strategy (comparing areas that received banks to similar ones that did not across time), they present evidence of a positive relationship between credit access and poverty alleviation. In the same way, Beck, Demirgüç-Kunt & Levine, using a dynamic panel at country level, find a negative and statistically significant relationship between credit access and inequality. This relationship is due to the heterogeneity in the improvement of credit access, being low-income individuals the ones who benefit the most from improved credit access. Likewise, Levine, Loayza & Beck use both cross-section and dynamic panel approaches, as well as instrumental variables to find a negative relationship between financial intermediary development and economic growth. These results are in line with Aghion et al. which finds that higher credit restraints affect economies’ mean growth. We now turn our attention to the mixed evidence of business training programs for micro-entrepreneurs, which cover a wide range of useful managing skills such as promotion skills, working capital management, and negotiation strategies. The work performed by Karlan & Valdivia or Almeida & Galasso fail to find significant evidence of business training programs for micro-entrepreneurs in Peru and Argentina. In contrast, Berge et al. and Bjorvatn & Tungodden find positive effects of human capital accumulation programs for micro-firm owners in Tanzania, while Mano & Iddrisu find the same in Ghana. Moreover, considering micro-firm owners in Chile, Martinez, Puentes & Ruiz-Tagle use the MESP program and an experimental design to provide useful evidence regarding a positive relationship between a combination of an asset transfer and business training on employment and wages of low-income micro firm owners, most of whom are women. However, they are unable to study the effect of each component of the program by itself. Examining financial literacy levels, literature focuses mainly on individual or family level. For example, Alvarez & Ruiz-Tagle, using an IV identification strategy, find some evidence related to wider credit access for households with higher financial literacy; however, they find no evidence for the levels of financial stress. Regarding individuals, some evidence shows that lower understanding of financial concepts can trigger larger levels of debt and higher probability of default. Nevertheless, it is also important to consider that lower levels of financial literacy might suggest a lower propensity to sustain relationships with financial institutions. Finally, considering micro-firm support programs, the work performed by Drexler et al. studies the effect of two types of financial skill training programs in the Dominican Republic. The first provides standard classes covering accounting and financial contents while the second offers basic classes teaching rules of thumb of finance and accounting. Among their results, the authors conclude that lower-complexity courses are more effective on financial decision-making of the treated. Despite not finding significant effects on profit or sales of any of the programs, they find some evidence of an increase in bad week sales. Overall, literature tends to lean in favor of a positive relationship between credit access and different variables related to utility of economic agents. However, evidence is mixed regarding business training programs. Further, these programs rarely focus on financial literacy or link this variable to the probability of having access to credit (at least not at a micro-firm level) despite its potential relevance in explaining the firm's liquidity constraints. Therefore, this paper seeks to provide evidence for the relation between financial literacy and the two dependent variables of interest: credit access and financial stress, with the purpose of public-policy recommendations. III. Data and Stylized Facts The data used for this work comes mainly from the Chilean Social Protection Survey (EPS), specifically the surveys of 2006 and 2009. This paper also uses data from the Superintendence of Banks and Financial Institutions (SBIF), which provides information on the distribution of bank branches at a township level, to create the instrument proposed in this paper. In both the EPS 2006 and the EPS 2009, the surveys interview roughly 15,000 households with a total of 81,096 and 74,047 observations, respectively. That being said, this paper only considers individuals that declare being owners or partners of some business. Furthermore, defining micro-firms according to the amount of workforce, this paper drops every business with more than 10 workers. Ultimately, after cleaning the database, 935 observations remained, of which 575 come from the EPS 2006 and 360 from the EPS 2009. One of the greatest strengths of the EPS is that it has a section of questions related to financial knowledge and the risk aversion of the individual. That section allows this paper to develop a Financial Literacy Index (FLI) and a risk aversion index, both in line with the ones presented by Flores, Landerretche & Sanchez. Moreover, consistent with Alvarez & Ruiz-Tagle, this paper defines financial stress as the debt to income ratio. In this matter, financial stress is defined as the total amount of debt related to business reported by the interviewee, divided by his mean annual income. Moreover, a proxy for the formality of the business is created by generating a dummy variable that takes the value of one when the firm declares sales taxes and zero if not. In Table 1 there is a summary of the main variables used for this investigation. Regarding FLI, on average, individuals interviewed answered correctly to 41 percent of the questions. Table 2 shows the distribution of correct answers. Surprisingly, just 1.07 percent of the sample answered correctly to the six questions of basic financial concepts and less than 25 percent of those interviewed responded correctly to more than half of the questions. Moreover, regarding the compound interest rate question, which is arguably the most important question when establishing a relationship with a financial institution because loans are calculated over a compound interest rate, just a 2.78 percent answered correctly. This number is considerably lower than the one found by Lusardi & Mitchell for baby boomers in the US, which was around 18 percent. Looking at credit access and financial stress, only 16 percent of the sample has some debt when interviewed, while the mean debt represents 19 percent of the individual annual income. Nevertheless, this last number is mainly driven by the relationship (or lack of relationship) with the financial institutions. Moreover, conditional on having a loan, financial stress rises to 14.3. However, despite the magnitude of the mean, it is important to consider that this debt considers long run loans such as land or equipment loans. Appendix 3 shows the means for these variables by sex and age, showing that individuals between 24 and 54 years old have greater levels of financial stress as well as the largest share of individuals that participate in the financial markets. Now this paper proceeds to look at the township-level distribution of bank branches. Townships have on average 36 bank branches. However, it is important—especially for a geographically unique country like Chile—to consider the heterogeneity of the data given the concentration of bank branches within the wealthiest, more urbanized and more educated townships, like the ones in the Metropolitan Region. Appendix 4 details the distribution of bank branches by regions. For example, there are 75.8 bank branches in each township from the Metropolitan Region, while in the third region the number goes down to 6.1. IV. Theoretical Framework For a better understanding of the empirical strategy, it is essential to rely on a theoretical model that provides an economic interpretation for the results obtained. As mentioned earlier in this paper, assuming that the firms evaluate business projects using a simple stochastic model of present value, this statement can be formalized with the following equation: (1) Yt=-I0+i=1niEtt Where Yt is the expected present value of the project in t, yt is the cash flow on period t, δ∈ (0,1) corresponds to the discount rate, and Et is the expectation operator, conditional on the set of information t. This expression is a simplification of the one proposed by Campbell & Shiller, which is very useful for the purposes of this investigation. If we assume that not all of the individuals have access to the same set of information t, or they do not understand completely all the information available, it is reasonable to think that some entrepreneurs might forecast their cash flows incorrectly. This will likely affect the expected present value of the project; thus, these estimations can compromise the firm’s liquidity or restrain their access to external funding due to lack of information. Likewise, wrong cash flow estimations might affect the firm’s decision whether to invest or not, as well as their growth possibilities given that projects are subject to the condition Yt > 0. A key assumption of this model is that individuals overestimate their cash flows as the result of a smaller set of information, which will be called t'. This can be taken from the evidence presented by Agarwal, Driscoll & Laibson who show that on the mortgage market, individuals fail to minimize their debt costs, which can be extensible to other types of debt. In that case, individuals underestimate the debt cost as they do not understand how much they pay nor their options associated with their loan. One clear example is that, on the compound interest question (see Appendix 1), 96.3 percent of those interviewed answered incorrectly and 29.3 percent of those interviewed answered as if it was a simple interest rate, which reaffirms the conclusions of Agarwal et al. Therefore, considering the assumptions mentioned above, we have that: (2) Yt-Yt'=i=1niEtt-Ett'<0 In which the right-hand expression would be the present value of the estimation error, which depends on the information gap t-t'. Thus, the bigger the information asymmetries, the less accurate the estimations for projects run by entrepreneurs with limited access to information—or in this case, entrepreneurs with low financial literacy—will be. In addition, this model, sustained by the evidence presented by Agarwal et al. predicts that the transmission channel for illiteracy will be related to costs, not income. Another important factor is the decision of individuals to increase their stock of financial knowledge. It is easy to see that increasing financial skills endowment has costs and benefits. On the one hand, benefits are related to the model shown above as they allow better access to information and hence allow the individuals to make better investment decisions. On the other hand, the process of acquiring basic financial knowledge takes time and resources, which implies costs. Overall, theory predicts that individuals optimally choose the stock of financial knowledge that maximizes their welfare, as formalized by Jappelli & Padulla. However, this model runs out of the main goal of this investigation. Finally, it is important to mention that, according to the theoretical model presented by Modigliani & Miller, in the presence of information asymmetries between firm owners and the market, levered companies are more valuable as they signal a low bankruptcy probability to the market. This would generate, consistent with the work of Ross, an incentive to be levered. This statement generates some concern regarding the prediction that firms with bigger financial stress have owners with lower financial literacy. V. Identification Strategy For the identification strategy, two models are estimated in parallel: one for financial stress and the other for the dummy variable of credit access. As such, this paper estimates the following equation: (3) Yit=Xitβ+δFLIit+t+it In which Yit represents the two dependent variables, financial stress and credit access, for each specification. Xit is a vector of individual control variables (such as education, age, or gender) and firm control variables as a dummy for formality, business age, and amount of workforce. t corresponds to a dummy variable that takes value 1 for year 2009 and 0 for 2006, to control for year-fixed effects. Our parameter of interest, FLI, corresponds to the financial literacy index, which consists of the amount of correct answers from the set of financial questions of the EPS (see Appendix 1 for more detail). it is the error term of the model. Finally, I use robust standard errors to control for possible heteroscedasticity. Regarding the variable of interest of this work, there are reasons to believe that it presents endogeneity issues due to measurement errors of the index or spillovers from those who participate actively in financial markets, as explained by Alvarez & Ruiz-Tagle. The first issue is a result of the noisy nature of financial literacy, while the second occurs because some financial concepts might be learned by participating in financial markets. It is well known that measurement errors on right-side variables will tend to bias the coefficients towards zero, while spillovers are expected to bias the FLI upwards. Therefore, given that both sources of bias operate on opposite directions, the end result will depend on which effect is dominant. In order to tackle the problem of endogeneity, this paper suggests an IV approach, using the amount of bank branches at a township level as an instrument for the FLI. This instrument can be considered exogenous for the financial stress variable as there is no theoretical reason to believe that this might correlate with the level of financial literacy of the interviewee. However, when analyzing access to credit, the relationship is more plausible, because micro-entrepreneurs can choose where to set up their business. That being said, the EPS dataset does not ask for the township in which the business is located, but for the township where the individual lives. Individuals likely did not decide to live in a township due to the supply of financial institutions, but rather due to the accessibility of the township, supply of education establishments, green area supply, compatibility with neighbors, and other variables. Thus, this IV fulfills the exogeneity condition on both specifications. Then, the first stage regressions can be written: (4) FLIict=Xitβ+δBct+t+ict In which Bct would be the number of bank branches on the township c. Another problem related to the estimations is that, when using a pool sample with observations of the EPS 2006 and 2009, it is likely that there will be non-random attrition bias if the reason to disappear from one survey to another is correlated with the FLI. Furthermore, one can think that those interviewed with lower financial literacy will have a higher bankruptcy probability and therefore lower probability to declare being a business owner on the EPS 2009, generating upward biases. The next section tackles this issue and reaffirms the robustness of the results obtained. VI. Main Results and Robustness Checks Table 3 shows the main results of both dependent variables. Columns 1 and 3 show the estimations using Ordinary Least Squares (OLS) with year fixed effects while column 2 and 4 show the results using IV. We notice that for none of the specifications is there a statistically significant coefficient for the FLI; however, in column 2, the coefficient is almost significant at a 10 percent level (p-value of 0.117). Also, we can see that coefficients are considerably larger when using an IV approach, which suggests that the attenuation bias (the underestimation of the absolute value of this data caused by errors in the independent variable) dominates the spillover effect of those who participate on the financial markets. These results are similar to the ones obtained by Alvarez & Ruiz-Tagle, in which they argue that the positive relationship between financial literacy and financial stress might be explained by greater credit access or overconfidence of the more literate individuals. The positive relationship between the FLI and the probability of having access to credit also has the expected sign; however, the significance is weaker than the one presented by Alvarez & Ruiz-Tagle. The lower panel of Table 3 shows the main results of the first stage. Shown in both models, the number of bank branches fulfills the condition of relevance as the F test is greater than 10 and the coefficients are highly significant in both specifications. Regarding the control variables, the reader can see that they all go in the expected directions. However, this paper believes it is important to discuss in detail the formality dummy variable, given that the coefficient is negative and statistically significant for credit access. At first, intuition would suggest a positive relationship between the formality of the business and the probability of getting a loan and its financial stress. Further, one would expect that formally constituted companies should have better access to request a loan on a financial institution. However, it is likely that for micro-firms as the ones studied in this paper, obtaining a loan as a formal company is more of a restraint than an advantage. The reason is very simple: an individual can leave personal assets such as his/her house or car as collateral, which reduces the bank’s risk, so unincorporated companies would take more loans than formal companies. Overall, these results suggest that business training programs related to financial skills would not be effective to diminish the financial stress (and with that the survival probability) nor the probability of having access to credit of micro-firms, as better financial literacy has no significant effect on either of these variables. Thus, a more effective policy design would be related to providing asset transfers and loan subsidies, consistent with the empirical evidence shown in the literature review. A. Robustness Checks Given that the pooled model presented in the previous subsection has observations for micro-entrepreneurs from years 2006 and 2009, it is likely that these results may be biased due to non-random attrition, in which the results gradually decrease in strength. Intuitively, it is reasonable to think that those who report themselves as micro-firm owners on both the 2006 and 2009 surveys are the ones with higher financial literacy levels (as financial literacy would be a useful tool for making optimal financial decisions and diminish the probability of bankruptcy), which would generate upward bias on the estimations presented in Table 3. In that case, results shown before should be interpreted as an “upper bound,” proving solid evidence against a causal relationship between financial literacy and the two dependent variables studied for this investigation. In order to test this hypothesis, this paper estimates again columns 2 and 4 of Table 3, but only for a subsample of year 2006 observations. If the hypothesis is true, both the significance and the coefficients must fall on this new specification. Table 4 shows the results obtained from this subsample, using the IV approach as on columns 2 and 4 of Table 3. From the table above, one can see that the results obtained are consistent with this paper’s hypothesis, as the coefficients (and their p-values) fall on both specifications when using the subsample of observations from 2006. For financial stress, the estimated coefficient falls from 3.899 to 1.698 (and the p-value increase from 0.12 to 0.36), while credit access falls from 2.693 to 2.117 (p-value changes from 0.21 to 0.30). One possible concern regarding these results is that they can be driven by the narrowing of the sample, as for the pooled model the sample was already limited on observations. However, one can see that the standard error falls when the regressions are estimated for the subsample of the year 2006, despite reducing the size of the sample. Furthermore, the instrument bank branches on township is still highly significant (at a 99 percent level for both specifications) and has an F test of 11.54. This implies that the results shown on Table 3 should be interpreted as an “upper bound,” due to the attrition bias, presenting robust evidence against financial training programs, as there is no significant relationship between financial literacy and access to credit or financial stress of micro-firms. VII. Final Conclusions This paper intended to establish a causal relationship between the financial literacy level of micro-entrepreneurs, their probability of having access to financial markets, and their financial stress. Based on the literature regarding this subject and given the large empirical evidence in favor of financial aid programs for micro-firms, as well as the mixed results in business training programs, this paper intended to contribute new evidence relative to the effectiveness of policies that involve business training for micro-firm owners. By using an instrumental variables approach, this paper tried to tackle the endogeneity problems that the financial literacy index (created following Flores, Landerretche & Sanchez) is exposed to. This paper uses the number of bank branches at a township level as an instrument for the index, which fulfills both the exogeneity and relevance conditions. Overall, my results suggest that there is no causal relationship between financial literacy and the two dependent variables studied. Further, due to non-random attrition bias, these results must be interpreted as an “upper bound” which provides solid evidence against financial training programs. Finally, for future investigations, it would be useful to check the external validity of the model and see if the results hold for other datasets in Chile or other middle-income countries. It would be also relevant to know if the conclusion on financial training projects holds for other variables, such as the probability of default. Works Cited Agarwal, S., J. C. Driscoll & D. I. Laibson. “Optimal Mortgage Refinancing: A Closed-Form Solution.” Journal of Money, Credit and Banking, vol. 45, no. 4, 2013, pp. 591–622. Aghion, P., Angeletos, G. M., Banerjee, A., & Manova, K. Volatility and growth: Credit constraints and productivity-enhancing investment. National Bureau of Economic Research, no. w11349, 2005. Akerlof, G. A. “The market for “lemons”: Quality uncertainty and the market mechanism.” Uncertainty in Economics, 1978, pp. 235-251.Alvarez, R., Ruiz-Tagle, J. Alfabetismo financiero, Endeudamiento y Morosidad de los Hogares en Chile, University of Chile, 2016. Almeida, R. 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 • Question 2: Lottery Division. If five people hold the same winning ticket from a lottery of $2 million, how much will each receive? 
 • Question 3: Interest rate. Assume that you have $100 in a savings account and the annual interest rate that you receive for this savings is 2 percent. If you keep the money for 5 years on this account, how much money will you have in five years from now?
 a. More than $102 b. Exactly $102 c. Less than $102 
 • Question 4: Compound rate. Let’s say you have $200 in a savings account, which accumulate 10 percent in return each year. How much would you have after two years? 
 • Question 5: Inflation. Suppose you possess $100 in a savings account which gives you a return rate of 1 percent yearly. If the inflation is 2 percent, after one year you could buy:
 a. More than $100 b. Exactly $100 c. Less than $100 
 • Question 6: Risk diversification. Please answer if the next statement is true or false: buying a stock form a company is less risky than buying the same money on several stocks from different companies 
 (b.) Likewise, I use the following risk aversion index proposed by Flores et al. (2011). Risk aversion: 
 • Is 0 if the interviewee prefers a fixed and stable income for the rest of his life 
 • Is 1 if he/she prefers a job in which he/she can, with the same probability, have twice his income 
or 3/4 of his income for the rest of his life. 
 • Is 2 if the interviewed prefers a job in which he/she can, with the same probability, have twice his income or 1/2 of his income for the rest of his life 
 • Is 3 if the interviewed prefers a job in which he/she can, with the same probability, have twice his income or 1/4 of his income for the rest of his life 
 (c.) Type of debts considered for the Financial Stress variable: 
 • Machinery
 • Land and/or agricultural facilities • Animals (cattle)
 • Bank credit line
 • Other 
 Appendix 2: Financial Literacy Index Appendix 3: Descriptive Statistic for FLI and Dependent Variables Appendix 4: Bank Branches Distribution in Chile Appendix 5: Regressions for Financial Stress and Credit Access Detail Appendix 6: Regressions for Subsample Year 2006 Appendix 7: Instrumental Variables

Jasmine Bacchus Tribes and Tribulations: Character as Property in Survivor Jasmine Bacchus Almost 600 contestants have appeared on the US version of Survivor , with only 82 of those contestants (approximately 13%) identifying as Black. Over the past twenty years, Black Survivor contestants have expressed that their portrayal on the edited version of the show misrepresents their lived experiences on and off the island. In 2020, a group of Black alumni joined together to produce a series of panels and discussions on race in Survivor and have argued that CBS, the show’s broadcasting network, has a responsibility to accurately and appropriately represent the experiences of their contestants of color. This paper explores character as a form of property and aims to showcase how intellectual property rights and the right to publicity function within the context of reality television. Ultimately, I argue that networks, such as CBS, should aim to balance their desire to produce an entertaining show with genuine attempts to accurately tell the stories of Black and Indigenous People of Color (BIPOC). After showcasing how CBS’s ownership of their contestant’s characters has uniquely harmed Black contestants, I will suggest steps CBS can take to improve their portrayals. I. Character on Survivor Survivor is an American television show created by Mark Burnett in 2000. The premise of the show is that 16-20 players, called “castaways,” are brought to a deserted island. The castaways are put into two teams, called “tribes.” In each episode, the two tribes compete against each other in a series of challenges. The losing tribe goes to “Tribal Council” where they collectively vote one player off of the island. This pattern continues until there are only two or three contestants left in the game; the final players then face a “jury” consisting of the last seven players that have been voted out of the game. The final players give speeches and the jury members cast their vote for the player they want to win the game. The winner receives the title of “Sole Survivor” and $1,000,000. As a reality TV show, Survivor is known for its memorable characters and character moments. When the show originally aired in 2000, one of the earliest marketing points was that the game was bringing sixteen people from different “walks of life”; the significance of bringing together different socioeconomic, racial, and geographic backgrounds made the show a televised social experiment. While the show still claims to bring together a diverse group of players, at home, audience members see characters carefully crafted by the network, rather than raw footage of sixteen strangers. The discrepancy between reality and their portrayal is what has sparked action from Black Survivor alumni. During the casting and editing process, contestants are typically shaped to fit specific archetypes. While Survivor producers aim to get contestants from a range of archetypes each season, many times Black contestants are repeatedly cast into the same roles or emphasized for the same shortcomings. Gervase Peterson (Season 1), Osten Taylor (S7), Tasha Fox (S31), and Keith Sowell (S38) received major storylines about their inability to swim, contributing to the harmful stereotype that “Black people can’t swim.” Alicia Calaway (S2) is primarily remembered for being aggressive and JoAnna Ward (S6) was shown as “overly religious.” Likewise, contestants NaOnka Mixon (21), Nick Brown (S2), and J’Tia Hart were primarily shown as being “lazy” and nonstrategic and were frequently shown taking naps and not participating in camp work. This seems to suggest that “laziness” is one of their core personality traits when in fact outside of the game, Mixon was a physical education teacher, Brown was a Harvard Law Student, and Hart was a nuclear engineer with a Ph.D. (1). Black contestants have argued that these repetitive, one-sided portrayals ignore the fact that the Black Survivor community is not a monolith. The contestants are multifaceted people, but by shoehorning them into the same narratives every season, they are inaccurately portraying the true personas of the contestants. While producers can only work with the footage they are given, Black contestants have argued that the showrunners focus on turning the footage into memorable moments without also highlighting their gameplay and strategy. While a white contestant may be given both a fun edit and strategic moments, Black contestants often are only highlighted when they do something to support their assigned archetype. These one-sided portrayals come at the expense of giving the contestants “proper credit” for the positive contributions they made to the game. Vecepia “Vee” Towery, winner of Survivor: Marquesas and the first African American contestant to win the game, has been known throughout the Survivor community for being a “boring” and “nonstrategic” player, yet during one of the Black Voices of Survivor panels, Vecepia spoke out about her edit: They flipped it and made me look like I was under the radar like I didn’t do anything to win that game. Even to the point that when we were watch- ing the episodes, people on my season would call me and email me like ‘that didn’t happen like that. Why didn’t they show you doing that?’ and I’m sitting there like I have no idea (2). With instances like Vecepia’s occurring regularly, Black Survivor contestants have joined together to campaign for better representation. Black alumni shared their stories in a series of podcasts known as the “Black Voices of Survivor”; the series is accompanied by a petition sent to CBS, which called for “anti-racism”; specifically, they called for CBS to “Ensure that cultural elements of the experiences of BIPOC are not exploited and their portrayal does not perpetuate harmful stereotypes” (3). This raises the question: to what extent do Black contestants have ownership over how they are portrayed on the show? The following sections explore the concept of a “reality tv character” and examine how intellectual property (IP) and publicity laws can be used to give individuals and corporations ownership over characters. II. Character as Property I believe that property functions in this setting as a means of character owner- ship. Denise Martinez defines “character” as “the aggregate of features and traits that form the individual nature of a person” (4). These traits and features are constructed by various elements, including the person’s “physical appearance, their background and personality, the words they use and the actions they take” (5). As I discuss character in this paper, I am referring to the aggregate of a contestant’s personalities, appearances, and actions, that edited together, make “a character.” Personality is a key component used to build a character. Deborah Halbert breaks a reality TV star’s personality into three parts. There is the “human persona,” which is the person in their everyday life, a functional persona, which represents the archetypal character the network aims to project, and a hybrid persona, which contains elements of both (6). What we see on television is the hybrid persona, where the “Reality TV star’s personality is combined with producer-controlled storylines and edits” (7). This, combined with other elements of their wardrobe and back- ground, create a reality TV character. Thus, the tension between the contestants and the network is over the ownership of these characters. By “character ownership,” I mean control over how the character, including the hybrid persona, is displayed in the edited final cut of the television show and any appearances of the character afterward. The law views character ownership in a couple of ways. Both IP and publicity rights have been invoked to claim ownership over a character. Reality TV characters, however, do not tend to receive intellectual property protections. In order for a character to be eligible for copyright, the creator must prove that the character is 1) “sufficiently Distinctive So as to Constitute an Original Expression” and 2) “constitute the story being told” (8). Martinez argues that reality TV characters are not sufficiently distinctive, as their “hairstyle, hair color, clothing (costume), and scenery change from one episode or season of a reality TV show to another”(9). Likewise, with ensemble casts, a singular Survivor contestant would not “constitute the story being told”: in other words, if that contestant was removed from the season, the show would still be able to proceed (10). While stereotypes themselves cannot be trademarked, trademarked characters, such as “Aunt Jemima,” have perpetuated negative stereotypes about the Black community (11). Some reality stars have sought trademark protection over certain aspects of their character as a way of claiming ownership over their “personal brand” (12). In the early days of Survivor , some contestants would use their experience on the show to propel them to higher celebrity statuses with hopes of making money off of their appearances (13). Contestants who received poor edits might have been excluded from those opportunities, however, even those who were offered opportunities were often denied participation by CBS.14 Sean Rector (S4) described his experience with this, stating “many of the opportunities that were offered to me from different networks, and even Viacom, were denied to me by SEG/Survivor and yet my image and catchphrases [are] exploited on merchandise and monetized by various different entities and I couldn’t even mention Survivor let alone try and make a living off of my experience” (15). While there is an interesting argument to be made that contestants are being robbed of the opportunity to profit off of their personal brand, I am primarily concerned about situations where CBS’s ownership of Black and POC characters cause contestants to be disproportionately affected relative to white contestants. While BIPOC contestants may experience less accurate portrayals than their counterparts, all contestants lack the ability to trademark these aspects of their brand. Ultimately, the ability to profit off of their appearance does not seem to be the primary concern raised by the Black Survivor alumni. III. The Survivor Contract What I see as the primary property issue here is the right to publicity, which “protects against the unauthorized appropriation of a person’s name, likeness, portrait, picture, voice and other indicia of identity or persona” (16). Survivor contestants give up their right to publicity when they sign the participation contract. During the early stages of the casting process, contestants who wish to continue in the casting process must sign a contract that releases their right to their portrayal during the show and after it airs. Deborah Herbert explains, “the contract grants CBS all rights to the name and likeness of the application, forever, even if the application is not recognizable” (17). If they are selected to participate on the show, “anything related to Survivor becomes the property of CBS” (18). Not only does the contract give CBS the rights to control how they are portrayed, but the network maintains full control over their “life story,” and this control extends after the show airs (19). Thus, once a contestant signs the contract, they relinquish any right to their storylines or narratives on the show, and technically cannot do or say anything after the show to contradict anything that was portrayed onscreen with- out facing a potential penalty (20). As a result, any interviews, talk shows, books, or appearances a contestant wants to make for at least three years after the show airs must be cleared by CBS first. With CBS having control over their narratives on the show and actions afterward, Black contestants have struggled to find ways to reshape their characters outside after the show has aired. Two of the four Black Survivor winners have expressed a desire to participate in positive outreach to the Black community after their show, however, they received little to no support from CBS to do so. Earl Cole, the winner of Survivor’s fourteenth season , Survivor: Fiji, was the first Black man to win the show and the first contestant to receive a unanimous vote at the end of the game. During “The Black Voices of Survivor: Roundtable,” Earl explained that after he won the show, CBS gave him a structured list of appearances and interviews to make. Earl noticed that most of the venues he was scheduled to speak at catered to a predominately white audience and asked CBS if he could make additional appearances at venues where he was more likely to reach a Black audience. However, he was met with opposition from the network. He explained: I thought that CBS would use this as an opportunity to actually try to get more Black viewers...[but] nothing happened. They did nothing for me. They didn’t promote me in any kind of way...like hey you know a Black dude just won for the first time, won unanimously...[But] I never got any of those opportunities, no promotional things, no marketing things (21). Wendell Holland, winner of S urvivor: Ghost Island experienced similar frustra- tion when trying to obtain access to clips from the show for speaking engagements. Wendell described his experience to the group, stating: We [the four Black winners] want to be great ambassadors for Survivor . We want to go to the community...scream from the mountaintops that we were on Survivor ...I spoke at so many places and I tried my hardest to acquire things. I would try to get clips from my show, I’d go through the proper channels, I would send messages to the people at CBS and they make me jump through so many hoops, and ultimately they wouldn’t give me anything, that I could show to like 700 kids (22). The anecdotes from Earl and Wendell showcase how little agency contestants have once they sign the contract and agree to participate on the show. While the argument can be made that players could have read the contract and refused to sign it, often reality TV contestants have limited legal understanding and when faced with a 100+ page document they may feel overwhelmed or unable to digest it all. While perhaps contestants should read the contract with an attorney present, often reality tv contestants are given a limited amount of time to sign and feel pressured to do so before the network replaces them with another candidate (23). In an interview for Entertainment Weekly, Sean Rector expressed regret for how the contract signing process went down, stating: I rarely have regrets in life, but if there were some regrets after doing the show, it would have been that I wished I would’ve legally understood the SEG/Survivor contract I signed. I wished they would’ve had more transparency and explanation as to why certain people were able to capitalize off of their experience and others were not (24). With the pressure to sign quickly and no legal counsel provided by CBS, Survivor contestants have signed away their right to publicity for the rest of their lives, making it challenging for contestants to remedy harmful on-screen portrayals. VI. Race and Character Portrayal – Finding Balance Given the extensive contracts they signed when they auditioned for the show, Black Survivor contestants do not retain any rights to publicity over their Survivor character. CBS has economic incentives to continue to structure their contracts in this manner, however as more stories of Black contestants begin to be made public, the network is facing pressure to better characterize their BIPOC contestants. Thus, if CBS continues to require contestants to sign away their right to publicity, they still may be held accountable when it comes to handling the characterization and life stories of marginalized individuals. Thus, how can networks balance exercising their autonomy over character creation (to craft an entertaining show), without putting marginalized groups in a position where they are forced to connect their likenesses to harmful stereotypes? In this final section, I will explain how and why CBS should take steps to better characterize their contestants of color, and how they can do so, without modifying their contract. Unique Harms to Black Contestants A negative reality television edit has the potential to harm any contestant, how- ever, I believe that stereotypical portrayals of predominantly Black contestants create unique harms to the Black community. In her study of race on reality TV shows, Katrina Bell-Jordan writes that reality television can “shape the reality of race and racism in the US” (25). For BIPOC contestants, their character portrayals shape not only their personal image, but how our society views African Americans. Bell-Jordan explains that the “editing and framing of footage depicting the experiences of ‘real’ people have the power to shape our understandings of the people, places and sociocultural issues presented on these programs” (26). People who watch Survivor may have limited real-life experience interacting with the Black community. Thus, portrayals of Black contestants can directly shape the way a person views the community. Likewise, at this point, many Black contestants have recognized how important it is to be depicted in a non-harmful light, and thus multiple Black castaways have spoken out about the pressure they felt to positively represent their ethnic group and avoid any editing traps while on the show. Thus, these players enter the show aiming to “dispel the myths about their respective group” (27). Often, they spend additional energy not only trying to play the game but being hyper-aware of their surroundings and their actions, so they can avoid alienating their tribe. This pressure is two-pronged. For example, while a white contestant may feel comfortable taking a nap after helping catch food for dinner, a Black contestant may feel an additional pressure to stay active, as they would not want their nap to become their main storyline. They are likely aware of the “lazy” stereotype that has been pushed on previous Black contestants and will want to make sure their fellow castaways have no evidence of them being lazy (as this would likely lead to them being voted out). They may also feel an additional level of anxiety around the producer’s ability to push the stereotype on them. While all castaways regardless of race are thinking about their in-game relationships and the final edit, Black castaways experience a unique pressure to avoid falling into stereotypical narratives historically pushed by the show. Navigating these one-dimensional negative portrayals may also make it more challenging for players to be invited back to play Survivor again. Many contestants dream about the chance to be invited back; another chance gives them more exposure, another once-in-a-lifetime experience, and another chance to win $1,000,000. Thus, not being invited back is incredibly disappointing to many players. Black alumni expressed frustration when Vecepia, the first Black contestant to win and the only Black woman to win, was one of the only winners not invited to play in the “All-Winners” season of Survivor . Unpopular characters are less likely to be invited back to play Survivor again; contestants with poor edits are often perceived negatively by the fanbase and thus denied another invitation. However, refusing to play into a stereotype may cause a player to be disliked by production, which could still lead to a negative edit (albeit a different one) or being “black- listed” from future invitations. Out of the 103 contestants who have been invited back to the show, only 11 of the invited castaways are Black (28). Knowing that they are invited back at a lower rate, Black and other BIPOC contestants face another level of complexity not faced by their white counterparts. Lastly, unbalanced edits can lead to Black stories being completely ignored. During Season 38 Julia Carter was the only Black castaway in her tribe. During the first few nights of the game, a fellow castaway used a racial slur. Julia reported feeling uncomfortable but remained silent due to a desire not to make her tribe uncomfortable or put a “target” on her back. Eventually, a white castaway stepped in and confronted the other contestant. After this incident occurred, Julia hoped that once aired, it would create a dialogue amongst viewers about language and race. However, CBS chose not to air any part of this incident, and many speculate that this was done to protect the reputation of the castaway who said the slur (29). In fact, Julia is known for being virtually erased from the entire season, receiving very few confessionals or moments at all (30). This story only came to light after Julia wrote an essay about the incident after the show aired. Unfortunately, Julia’s story of unaired racial incidents is not unique. When the edit chooses to ignore these contestant narratives altogether, they invalidate the lived experiences of Black contestants, while making no effort to make the game a more comfortable space for BIPOC players. Network Incentives to Address these Harms As I mentioned earlier, for many viewers, characters and their storylines are what makes a show like Survivor so interesting. Building drama, creating conflict, and putting contestants in challenging situations are essential parts of the show, and to do that effectively, production companies need to have blanket approval from the contestants. The contract enables CBS to have control over these creative elements of the show. By owning each contestant’s right to publicity, the network has creative freedom to produce a show that is entertaining to the public. Likewise, character creation is a time consuming, creative process. Retaining rights to these characters serves as an economic incentive for the company to create compelling ones that will generate high viewership. Likewise, part of being a reality TV contestant is the willingness to put yourself out there and risk potential failures or humiliations that may occur (31). Contestants should expect that any negative footage obtained is fair game to be used for the show. Likewise, the comprehensive contract allows producers to obtain “genuine” footage from contestants. Some aspects of Survivor , like the “gross” food eating challenges, are centered around the contestants not knowing what they are going to face. If contestants were to be given a contract that revealed everything that would happen to them, it would remove elements of drama and make it much less satisfying to watch their reactions (32). If CBS was required to receive editing approval from each contestant before airing a show, likely we would never see any conflicts (artificial or genuine), mess-ups, or moments of stupidity. While a contestant may not feel like they “signed up to be portrayed as an idiot,” by virtue of the genre, players should expect some level of humiliation. However, I believe that the harms created by CBS’s current portrayals combined with their contract make the game uniquely challenging for BIPOC players beyond the reasonable expectation of humiliation and drama. The game of Survivor is not “fair”—every player will experience varying levels of luck throughout their time on the show. However, the show is edited in a way that portrays, to the audience, a level of “fairness.” We are led to believe that at the start of the show, for all intents and purposes, each contestant has a relatively fair shot of winning. Yet, Black contestants are not only trying to play the game, but they also attempt to dodge negative stereotypes and positively represent their entire group, all while navigating their complex relationship with production. There is a whole new level of challenge for these contestants. One group of people consistently facing additional hurdles and challenges undermines this illusion of “fairness” that the network tries to create. Continuing to ignore these inherent disadvantages faced by players delegitimizes the game of Survivor . As these issues come to light, the show is at risk of losing the element of com- petition that makes the audience want to turn in each week to find out who moves on. Likewise, as the Black Survivors have begun to speak out about their concerns, CBS has faced lots of negative publicity for how they treat BIPOC contestants. As more Black contestants share negative experiences, future applicants of color may be deterred from applying to be on the show. CBS has already received negative publicity surrounding this issue, but a season of all white contestants would possibly put the show over the edge. Thus, the network now has two incentives to tackle this issue 1) the incentive to continue to stage Survivor as a “fair game” and 2) the incentive to respond to the negative publicity. I recognize that CBS has the economic motive to produce an entertaining show; retaining the right to publicity over their characters and IP ownership over their recordings gives them an incentive to create quality content. I do not believe that CBS needs to modify their contract as it currently exists. However, the network also has an incentive to improve the way they tell Black stories. The network should take steps to make these improvements. Suggestions for CBS Without modifying their contract, the Survivor team should take steps to minimize future harmful portrayals in the first place. The petition sent by the Sole Survivors Organization asked CBS to hire more BIPOC producers, casting directors, and editors to increase the likelihood that diverse stories are being told in a way that is respectful and accurate (33). A more diverse team would be more equipped to think about representing new archetypes and displaying important parts of each BIPOC castaway’s “life stories.” Likewise, CBS should also make it a priority to cast a more diverse group of players. Some of the pressure tied to a contestant’s feeling like they must “represent for their race” is the fact that Black contestants are only 13% of all players. Often, Black players find themselves one of maybe two African American contestants on a season. The limited amount of representation makes the stakes of an accurate portrayal even higher. The Sole Survivor Organization suggested 30% of the cast each season to people of color (34) and CBS has publicly expressed intent to work towards achieving a similar goal (35). Moving forward, the network should work to increase the number of diverse voices at all stages of production. Likewise, CBS should encourage contestants to speak out against inaccurate portrayals as they see fit. As we have seen with the Black Voices of Survivor podcast, contestants have already begun to speak about their experiences without authorization from the network. I believe that dialogues such as the Black Voices of Survivor should not only be permitted but encouraged; if contestants are encouraged to speak up, stories of stereotypical portrayals made public will put more pressure on the network to do a better job in future seasons. In cases where Black winners, like Wendell and Earl, want to speak in the Black community, the network should be more open to giving them access to materials from the show. No modification to their contract has to be made, but the network should be more diligent about approving and supporting the speaking engagements of BIPOC contestants. V. Conclusion Throughout this paper, I have showcased how Black Survivor contestants have felt inaccurately portrayed by CBS and I have examined their desire to receive ownership over their on-screen characters. The unique harms experienced by Black contestants reveal that an understanding of property driven by economic incentives can cause great harm to specific groups of people. I recognize that CBS’s property claims enable them to create compelling characters and produce their show without fear of interference from disgruntled contestants, however, their absolute character ownership has uniquely harmed BIPOC contestants. Thus, I suggested that CBS increase diversity amongst all aspects of the filming process and to encourage BIPOC contestants to speak up when they feel uncomfortable with their edit. While neither of these options will give these contestants the ability to trademark their catchphrases or control their edit, it is a step towards eliminating the pressures that come with harmful portrayals. Our systems do not seem to recognize when the creations we fostered create harmful, negative externalities. We seem to rely on the market to naturally eliminate creations that do more harm than good. In the case of CBS, public reaction is the only way to gauge if their show is net positive for society, however, controlling the contestant’s right to publicity functions as a way of managing public reaction through limiting public interactions. Thus, this issue is important to a discussion about property because it highlights how the economic benefits of property rights can lead to negative externalities that uniquely harm marginalized communities. In this case, property rights seem to foster innovation, but there is no formal system in place to check if the innovation, Survivor , is continuing to positively impact society (or even, a structured way to measure what constitutes a “net positive im- pact”). In this case, property rights do not have to be a zero-sum game where either the producers or the contestants are satisfied. Hopefully, the external pressure caused by the public will push CBS to engage with their BIPOC contestants. However, I recognize that the network may choose not to make any changes to their production teams or processes. Therefore, this issue has showcased to me that while property laws can foster creativity, they can also create societal harms that uniquely harm groups of people. Endnotes 1 Office of Economic Impact and Diversity. “Dr. J’Tia Hart.” Energy.gov, www.energy.gov/diversity/ contributors/dr-j-tia-hart. 2 Rob Has a Podcast, director. Black Voices of Survivor: Changing the Game of Survivor. YouTube, 1 Sept. 2020, www.youtube.com/watch?v=e7_rju1pneQ. 3 The Soul Survivors Organization, and J’Tia Heart. “A Petition for Anti-Racism Action by Survivor Entertainment Group.” MoveOn, June 2020, sign.moveon.org/petitions/a-petition-for-anti-racism-action-by- survivor-entertainment-group-2. 4 Martinez, Denise. “Character Ownership in Reality TV”. p. 5. 5 Ibid. 6 Halbert, Debora. “Who Owns Your Personality: Reality Television and Publicity Rights.” Survivor Lessons Essays on Communication and Reality Television, by Matthew J. Smith and Andrew F.. Wood, McFarland & Company, 2003, p. 42. 7 Martinez, Denise. “Character Ownership in Reality TV.” p. 6. 8 Ibid, p. 8. 9 Ibid, 11. 10 Ibid, 13 11 Greene, K.J. “Intellectual Property at the Intersection of Race and Gender: Lady Sings the Blues.” American University Journal of Gender, Social Policy & the Law, vol. 16, no. 3, 2008, p. 375. 12 Greene, K.J. “Right of Publicity, Identity, and Performance K .J. Greene Article 4.” Santa Clara High Technology Law Journal, vol. 28, no. 4, 1 Oct. 2012, p. 870. 13 Collins, Sue. “Making the Most out of 15 Minutes.” Television &New Media, vol. 9, no. 2, Mar. 2008, p. 88, tvnm.sagepub.com. 14 Halbert, Debora. “Who Owns Your Personality” p.44. 15 Ross, Dalton. “Sean Rector Speaks out on Never Being Asked Back for ‘Survivor’.” EW.com, 9 Nov. 2020, ew.com/tv/survivor-marquesas-sean-rector-quarantine-questionnaire/. 16 Greene, K.J. “Right of Publicity” p. 866. 17 Halbert, Debora. “Who Owns Your Personality” p.44. 18 Ibid, 44. 19 Blair, Jennifer L. “Surviving Reality TV: The Ultimate Challenge for Reality Show Contestants.” Loyola of Los Angeles Entertainment Law Review, vol. 31, no. 1, 2010-2011, p. 1-26. HeinOnline. 20 Halbert, Debora. “Who Owns Your Personality” p.44. 21 Rob Has A Podcast. “Black Voices of SURVIVOR Roundtable LIVE - June 24, 2020.” 22 YouTube, YouTube, 24 June 2020, www.youtube.com/watch?v=lqJM_05fFuk. JTiaPhD. “Tribes and Tribulations.” YouTube, YouTube, 27 June 2020, www.youtube.com/ watch?v=K7YK4DjRQwI. 23 Blair, Jennifer L. “Surviving Reality TV” p. 20. 24 Ross, Dalton. “Sean Rector Speaks out on Never Being Asked Back for ‘Survivor’.” EW.com, 9 Nov. 2020, ew.com/tv/survivor-marquesas-sean-rector-quarantine-questionnaire/. 25 Bell-Jordan, Katrina E. “Black.White. and a Survivor of The Real World: Constructions of Race on Reality TV.” Critical Studies in Media Communication, vol. 25, no. 4, Oct. 2008, p. 357. 26 Bell-Jordan, Katrina E. “Black.White,” p. 368. 27 Ibid, p. 353. 28 Survivor Wiki. “Returning Players.” Survivor Wiki, survivor.fandom.com/wiki/Returning_Players. 29 r/Survivor. “r/Survivor - Can Someone Explain to Me What Happened with Joe and Julia from Eoe and What Shes Ranting about? Is Joe Really Racist...” Reddit, Nov. 2020. 30 Eager Tortoise. “The Real Reason Julia Was Upset About Her Edit .” YouTube, YouTube, 6 Dec. 2020, www.youtube.com/watch?v=qCXaYeHROT0. 31 Mendible, Myra. “Humiliation, Subjectivity, and Reality TV.” Feminist Media Studies , vol. 4, no. 3, Jan. 2004. 32 Blair, Jennifer L. “Surviving Reality TV” p.19-20. 33 The Soul Survivors Organization, and J’Tia Heart. “A Petition for Anti-Racism Action by Survivor Entertainment Group.” MoveOn, June 2020, sign.moveon.org/petitions/a-petition-for-anti-racism-action-by- survivor-entertainment-group-2. 34 Ibid. 35 Hauser, Christine. “‘Survivor’ and Other Reality Shows Will Feature More Diverse Casts, CBS Says.” The New York Times, The New York Times, 11 Nov. 2020, www.nytimes.com/2020/11/11/business/media/cbs-reality- tv-diversity.html. Works Cited Bell-Jordan, Katrina E. “Black.White. and a Survivor of The Real World: Constructions of Race on Reality TV.” Critical Studies in Media Communication , vol. 25, no. 4, Oct. 2008, pp. 353–372. Blair, Jennifer L. “Surviving Reality TV: The Ultimate Challenge for Reality Show Contestants.” Loyola of Los Angeles Entertainment Law Review, vol. 31, no. 1, 2010-2011, p. 1-26. HeinOnline. Carter, Julia. “Push Me to the Edge: My Survivor Experience.” Julia Carter , 1 Nov. 2019, thejuliacarter.com/2019/06/06/push-me-to-the-edge-my-sur-vivor-experience/. Collins, Sue. “Making the Most out of 15 Minutes.” Television &New Media , vol. 9, no. 2, Mar. 2008, pp. 87–110., tvnm.sagepub.com. Copyright.gov. “Copyright in General.” Copyright , www.copyright.gov/help/faq/faq-general.html. Dillion, Kelly P, and Elizabeth B Jones. “How ‘Real’ Is Reality Television? Marginalized Group Representativeness in Competitive Reality Television Programming.” Psychology of Popular Media Culture , vol. 8, no. 3, 2019, pp. 319–328. Eager Tortoise. “The Real Reason Julia Was Upset About Her Edit .” YouTube , YouTube, 6 Dec. 2020, www.youtube.com/watch?v=qCXaYeHROT0. Gomez, Patrick. “‘I Was Called the N-Word’: Survivor All-Stars Share Stories of Racism.” AV Club , 26 June 2020, news.avclub.com/i-was-called-the-n- word-black-survivor-all-stars-rev-1844171814. Greene, K.J. “Intellectual Property at the Intersection of Race and Gender: Lady Sings the Blues.” American University Journal of Gender, Social Policy & the Law , vol. 16, no. 3, 2008, pp. 365– 385. Greene, K.J. “Right of Publicity, Identity, and Performance K .J. Greene Article 4.” Santa Clara High Technology Law Journal , vol. 28, no. 4, 1 Oct. 2012, pp. 865–887. Halbert, Debora. “Who Owns Your Personality: Reality Television and Publicity Rights.” Survivor Lessons Essays on Communication and Reality Television , by Matthew J. Smith and Andrew F.. Wood, McFarland & Company, 2003, pp. 37–56. Hauser, Christine. “‘Survivor’ and Other Reality Shows Will Feature More Di- verse Casts, CBS Says.” The New York Times , The New York Times, 11 Nov. 2020, www.nytimes.com/2020/11/11/business/media/cbs-reali- ty-tv-diversity.html. JTiaPhD. “Tribes and Tribulations.” YouTube , YouTube, 27 June 2020, www.you- tube.com/watch? v=K7YK4DjRQwI. Mendible, Myra. “Humiliation, Subjectivity, and Reality TV.” Feminist Media Studies , vol. 4, no. 3, Jan. 2004. Office of Economic Impact and Diversity. “Dr. J’Tia Hart.” Energy.gov , www.ener- gy.gov/diversity/contributors/dr-j-tia-hart. r/Survivor. “r/Survivor - Can Someone Explain to Me What Happened with Joe and Julia from Eoe and What Shes Ranting about? Is Joe Really Racist...” Reddit , Nov. 2020, www.reddit.com/r/survivor/comments/jo012s/can_ someone_explain_to_me_what_happened_with_joe/?utm_source=share. Rob Has a Podcast, director. Black Voices of Survivor: Changing the Game of Survivor . YouTube , 1 Sept. 2020, www.youtube.com/watch?v=e7_rju1pneQ. Rob Has A Podcast. “Black Voices of SURVIVOR Roundtable LIVE - June 24, 2020.” YouTube , YouTube, 24 June 2020, www.youtube.com/watch?v=lq- JM_05fFuk. Ross, Dalton. “Sean Rector Speaks out on Never Being Asked Back for ‘Survivor’.” EW.com, 9 Nov. 2020, ew.com/tv/survivor-marquesas-sean-rector-quaran- tine-questionnaire/. The Soul Survivors Organization, and J’Tia Heart. “A Petition for Anti-Racism Action by Survivor Entertainment Group.” MoveOn , June 2020, sign. moveon.org/petitions/a-petition-for-anti- racism-action-by-survivor-enter- tainment-group-2. Survivor Wiki. “African-American Contestants.” Survivor Wiki , survivor.fandom. com/wiki/Category:African-American_Contestants. Survivor Wiki. “Returning Players.” Survivor Wiki , survivor.fandom.com/wiki/Re- turning_Players. Previous Next

Staff ~ Vol. VII | Issue I Editorial Board Aimee Zheng William Loughridge Manaal Saadaat Mason Zhang, Hansae Lee Benjamin Levy, Zachary Freer Maggie Jiang, Manaal Saadaat Editor-in-Chief Content Director Marketing Director Philosophy Section Director Politics Section Director Economics Section Director Content Team Philosophy Section Editors Hansae Lee Steve Nam Alexander Gerasimchuk Matthew Wong Theodore Young Gabriel Gonzalez Coco Zhu Nahye Lee Koda Li Fatima Avila Politics Section Editors Arjun Ray Faith Li Malcolm Furman Meruka Vyas Fatima Avila Emerson Rhodes Lachlan Edwards Aditi Bhattacharjya Sophie Rukin Economics Section Editors Meruka Vyas Aditi Bhattacharjya Max Robinson Vittorio Nazzi Arjun Ray Lachlan Edwards Matthew Wong Arthur Shamgunov Operations Team Marketing Associates Claire Kim-Narita Nadya Tan Designers Julian Croonenberghs Neil Xu Founders Julian D. Jacobs '19 Daniel Shemano '19

Kyu-hyun Jo Cause, Causation, and Multiplicity: A Critique of E. H. Carr’s “Causation in History” Kyu-hyun Jo Abstract This paper will assess three central components of Edward Carr’s lecture ‘’Causation in History’’ in What is History? First, Carr does not show causation’s real function of distinguishing between various types of history; the kinds of causes a historian employs describes the nature of their historical inquiry. Second, Carr’s notion of “accidental causes” is oxymoronic because accidents are unpredictable for any historical actor. There is no logic to explain why unexpected accidents had to happen for historical actors from their viewpoint. Therefore, its contrast with ‘’rational causes’’ is misleading. Finally, however important causes are in formulating historical interpretations, causes do not determine a historian’s interpretation. 1. An Outline of the Main Arguments The explanation of causes in historical phenomena—explaining how historical events occurred by examining and describing the reasons behind their occurrence—is perhaps the signature hallmark of History as a Social Science. Yet, how does a historian know what a cause is and how should he or she explain the cause? This paper will provide a critique of Edward Carr’s methodology in his lecture “Causation in History,’’ collected in his seminal book, What is History? I will first assess Carr’s discussion of determinism, then discuss his distinction between accidental and rational causes, and finally, analyze how examples function throughout the lecture to highlight his arguments. From such examination, I will emphasize the function of historical causality within Carr’s framing of History as a scientific process. After examining Carr’s logic on historical causality, I will conclude with three main arguments. First, while Carr shows the necessity of causal explanations in historical analyses, he does not crucially show that the real importance of causes in historical explanation lies in their power to determine subdivisions in fields of historical research. Second, Carr’s distinction between “accidental causes’’ and “rational causes’’ is misleading because “accidental causes’’ is an oxymoronic concept. Accidents occur unpredictably and unexpectedly from a historical actor’s perspective, and it is impossible to accurately judge why an accident had to occur, unless a historical actor involved in an accident should miraculously resuscitate to directly inform the historian of the accident’s details. Moreover, if the fundamental purpose of a historical cause is to provide a logical explanation to the occurrence of historical phenomena, Carr, in conceiving “accidental’’ as an opposing concept to “rational,’’ is basically comparing illogical and logical causation in history. However, if “illogical’’ means “that which cannot be explained logically,’’ then it is questionable how an “illogical cause’’ is actually an explanatory cause. It is possible to explain that an accident became an accident, even if it is much harder to determine why an accident exactly occurred. Insofar as there is an explanation, however unsatisfactory the quality of the explanation may be, explaining how an accident came to be called as such, still qualifies as being logical, or having the capability to be explained with reasonable statements. In other words, the contrast between accidental and rational causes in historical explanation is misconstrued because “accidental causes’’ is an oxymoronic concept. Finally, while Carr may be correct in emphasizing the importance of causes in historical interpretation, he is mistaken in assuming that causes alone dictate the structure and content of historical analysis. The search for historical causes is only necessary for the sake of providing diverse angles of historical analyses; historical causes are not so important to exclusively determine and decide the entire content of a historian’s interpretation. It is the historian’s liberty to interpret facts about an event and then determine what the important causes of an event may be, but historical causes alone do not possess the great power to determine the direction of the historian’s interpretation. Rather, it is interdisciplinary historical analysis, which provides a rationale, a justification for why certain causes have better explanatory causes for a certain historical event than others, which ultimately in- forms the direction of a historian’s logic. The art of performing meticulous and exact historical interpretations involves adopting interdisciplinary methods, and only after the invocation of interdisciplinary methods to provide a rationale for establishing a hierarchy between causes can a historian perform interpretations. 2. A Brief Literature Review and the Significance of “Causation in History” A close analysis and an examination of Carr’s conception of causality and his ideas is necessary because there has yet to be a systematic study of Carr’s “Causation in History.” The majority of the secondary literature on What is His- tory? are book reviews that concentrates on commenting on the book’s overall structure and its main argument that History is a dialogue between the past and the present. This literature either mentions Carr’s discussion of historical causality solely in relation to his main argument, or ignores it altogether (1). For example, in the most recent comprehensive discussion of philosophies of History and historiography, the author closely analyzes Robin Collingwood’s emphasis on human ac- tions as the subject of historical inquiry is closely analyzed as a conditional theory for historical causation. Though Carr was a major critic of Collingwood’s views of History in general, neither Carr’s “Causation in History” as an independent work nor What is History? is given sufficient attention (2). Critical studies of Carr’s ideas regarding History have concentrated on his pursuit of objectivity and positivism, or his conceptualization of History as a study of causes. Ann Frazier (1976) argues against an absolute positivist view of History. She asserts that insofar as a historical narrative is a “reconstruction from present experience of what might have happened in the past,” it is impossible to absolutely determine what “actually happened in the past” (3). In other words, Carr’s vision for an objective and a pure History devoted to verifying past events with exactitude is untenable and impossible to realize. Geoffrey Partington (1979) criticized Carr’s “moral positivism and moral futurism” in favor of replacing them with relativism to better account for differences in time and place in which a historical event occurred when making a historical judgment (4). Most recently, Ann Talbot (2009), while comparing Carr’s view of chance and necessity with that of Leon Trotsky, concluded, “History is no longer a study of causality but is determined by the propensities of the historian” (5). In short, the secondary literature has engaged with various aspects of Carr’s view of History and concentrated on how historians write about the past and how recent interpretations of History have abandoned Carr’s concern for causality. However, the secondary literature, in particular Talbot, does not explain why Carr’s search for the role of causality in the writing of History is outdated, missing the central value of “Causality in History” as Carr’s most definitive statement on what History is as a science, for it is in this lecture where a truly scientific and methodical answer to the title of Carr’s book actually appears. A critical examination of Carr’s conception of historical causality is necessary to show why it is outdated or, as I noted earlier, there are three major deficiencies in Carr’s logic about historical causality. In “Causation in History” Carr develops the most methodological and structural argument about the nature of historical causality and criticism against historical determinism, which taken collectively, is actually devoted to explaining why History is a science, rather than explaining causality’s place in History for its own sake. Carr’s views about causality in History are essentially concerned with how causality functions in History to give its scientific character, not whether History’s entire academic identity is simply a study of causation. It is in this particular lecture where Carr’s understanding of History as a science in terms of approaches and methodology is most clearly expressed and where a genuinely structural analysis of History as a science—how historical causation reflects the scientific nature and essence of History—is most lucidly given. In short, this particular lecture deserves a close analysis because it explains why and how History functions as a science: by ordering facts through causality to transform historical fact into historical knowledge. How History becomes under- stood as History to a historian is perhaps the best method to know how history be- comes transformed into professional History. This paper intends to highlight the importance of causation within the question, “What is History?,” later evaluating Carr’s ability to frame historical inquiry as a scientific process through causation and causality. 3. Carr’s Main Ideas on Historical Causality Carr opens his discussion about historical causation with the observation that the historian “commonly assigns several causes to the same event’’ (6). However, the historian is bound by “a professional impulse to reduce it to order, to establish some hierarchy of causes which would fix their relation to one another’’ to decide which cause should be “the ultimate cause, the cause of all causes’’ (7). In other words, Carr believes that a multiplicity of causes serves a secondary function of letting the historian rationally prioritize a single cause that produced an event. From this discussion of the historian’s need to identify an order to historical causes, Carr argues that “historical determinism’’ and “chance in history’’ are “red herrings’’ which obstruct the logical flow of historical causation and proceeds to show how they are not part of a proper historical logic. “Historical determinism’’ is “the belief that everything has a cause or causes, and could not have happened differently unless something in the cause or causes had also been different’’ (8). In other words, “historical determinism’’ assumes that the occurrence of every phenomenon in life is dependent on a single cause unique to that particular phenomenon such that even the slightest alteration in the cause would necessarily produce a different phenomenon. However, Carr sees “historical determinism” as both unsatisfactory and un- realistic because it does not recognize the unpredictable vicissitudes of human behavior and actions According to Carr, the choices people make defy strict classification as either a matter of free will or logical determinism. He believes that various forms of human behavior and actions can arise from both free will and determined causes, arguing that historians are flexible in understanding human actions to arise from both sources (9). From this reasoning, Carr does not entertain the view that historical events occur “inevitably,’’ unless “inevitably’’ is qualified to mean that antecedent causes would have to be different for an event’s outcome to be radically different from what was expected (10). Since Carr is uncomfortable with the notion that historical events occur in a vacuum, it is unsurprising that he also finds explanations relying on “chance’’ or “accidents’’ unsatisfactory. Not only are accidents unexplainable through “historical determinism,’’ but accidents are also causal interruptions to a string of events which a historian wishes to investigate. In other words, the occurrence of an accident is not a license with which a historian can argue that there was no clear cause for an event to occur; an accident is merely an obstacle preventing the historian from focusing on a chain of causality which clearly awaited the historian’s discovery. Of course, Carr is aware that it might be possible for accidents and chance events to happen in history, for such occurrences are not only minor, but are continually compensated by other accidents or chance events, and “chance” might be a “character of individuals’’ (11). In other words, the randomness of accidents is possible because an accident is by nature an unexpected event and the forms in which it may occur are varied and diverse, and may be influenced by the unpredictable variety of personalities of every individual. Yet, Carr finds these apologetic defenses of accidents and chance events unsatisfying because accidents and chance events are often “seriously exaggerated,’’ or perceived to “accelerate or retard’’ historical progress, a sentiment which Carr dismisses as mere “juggling with words’’ (12). Moreover, he thinks that “chance events’’ are “natural occurrences’’ which complement each other is merely an euphemism to claim that there are events in life we cannot comprehend. Carr believes that those who use accidents in their theories have granted themselves the undeserved liberty to excuse themselves from the tedious business of rigorously investigating causes of an event. Such a person, in Carr’s view, is “intellectually lazy’’ or possesses “low intellectual vitality’’ (13). In other words, because accidents are also induced via human activity and actions, Carr does not believe that accidents truly occur unexpectedly or without any causation. Insofar as accidents can be caused by some faults in human personality or will, these faults, however inherently various, deserve to be studied as causes behind the accidents they create. The historian must observe and analyze accidents just as he or she would investigate any other “normal’’ political, social, or cultural event and ponder on why the accident occurred or whether it could have been avoided or prevented at all. So how does a historian pay proper attention to historical causes and formulate a causal relationship between historical facts? For Carr, it begins with the realization that there is little to distinguish between “historical’’ and “unhistorical’’ facts such that it is always possible for the latter to become the former (14). For example, someone living in 1066 and directly witnessing the Battle of Hastings might record that the battle “is taking place,” but once a historian agrees with the witness who claims that it was important that the battle occurred, the historian preserves the fact that the battle occurred in the past and has historical importance by simply stating the same fact in the past tense: “The Battle of Hastings clearly occurred in 1066.” Yet, the murkiness of the distinction does not mean that all causes are to be treated equally, for Carr believes that there are “rational’’ and “accidental’’ causes. The former can be applied to diverse countries, eras, and conditions, which warrants generalizations. By contrast, “accidental’’ causes, which have to be specifically devoted to explaining how an accident as a particular event in a specific time, location, and circumstances, cannot be generalized. An accident occurs under particular conditions and is fundamentally a result derived only from the particular conditions and therefore “teach us no lessons and lead to no conclusions’’ (15). In other words, rationality for Carr is synonymous with generality, while “accidental’’ causes are limited in their generality because they can only be comprehended only within the specific contexts they had occurred. The more important point is that “rational causes’’ have purposes borne from human motivations, whereas “accidental causes’’ do not have an objective. With that said, such a distinction does not mean “accidental causes’’ can be dismissed. Regardless of the type of cause, Carr believes that insofar as historians are expected to make interpretations about them, they are issuing value judgments, and causality is “bound up with interpretation,’’ for the act of assigning causes is itself a judgment. Moreover, because history is a purveyor of tradition, history is obligated to be a record of “past habits and lessons of the past’’ for future generations (16). Due to the arbitrary and selective nature of historical time, Carr concludes by arguing that historians must habitually ask “whither’’ along with “why?’’ (17). The audience for whom the historian writes is as important as personal and private reasons for which the historian writes history. Carr believes that the historian’s search for causation necessarily implies a search for an ultimate cause which can clearly answer why a phenomenon occurred, and insofar as a historian is searching for the ultimate cause, “historical determinism’’ is unsatisfactory because it disregards the importance of multiple causality in ac- counting for the unexpected and unpredictable nature of historical events. Carr also finds the treatment of “chance’’ or “accidental causes’’ as synonymous with “no causation’’ as unsatisfactory, because they are just masking a historian’s laziness or unwillingness to scrutinize historical events very closely to find a logical causation between them. Finally, regardless of whether a cause is “rational”—has the ability to be generalized—or is “accidental’’—happens by pure chance or as an outcome of unexpected events—distinctions between them are not very important because causality in general must inform a historian’s interpretation, which, in turn, is a form of value judgment. The possibility of a “subjective’’ causality is not an excuse to not treat “accidental causes’’ or “rational causes’’ unequally, for the division of time, which is the basic element of a historian’s thinking, is a subjective category which is bound to change depending on the nature of a “future’’ a historian is interested in addressing. As long as the future is subject to change, so will the perception of “past’’ and “present,’’ which is why a historian must be well aware of the purpose for which he or she desires to write history and the audience for whom the historian wishes a work to have a lasting influence. Logic is important to maximize the delivery of rhetorical clarity, for it is the essence of an argument’s organization. Yet, because logic is a general description of a reasoning’s supposed trajectory, logic needs to be supplemented with proper examples to illustrate and convince others that the trajectory is an accurate and rational one. This section has shown how Carr’s logic about historical causation could probably be considered rational; the next section will examine and analyze Carr’s use of examples to determine whether there is sufficient rhetorical strength in the logic to convince the reader that the logic is traveling on its proper and designated route. 4. Carr’s Use of Examples and Their Logical Compatibility with His Main Points This section evaluates Carr’s usage of historical examples in illustrating his main themes and arguments, offering a critique about the propriety of the examples in relation to the points they are making. In particular, it will concentrate on Carr’s examples drawn from the Russian Revolution and the accident of Robinson. This section will conclude that while his use of these examples is sound because he effectively illustrates the importance of unpredictability in historical causation to a historian’s thought process, the Revolution and the accident of Robinson do not greatly support Carr’s main theoretical argument because they do not show how and why a particular hierarchy of causes is necessary for one example but not the other. Carr uses episodes from the Russian Revolution to illustrate his opposition to historical determinism. There are several problems with Carr’s use of the Russian Revolution as an example to counter the assumptions of historical determinism. Fundamentally, the example does not show how Carr would be able to choose his “ultimate’’ cause behind the Revolution’s origins. While it is clear that multiple causes must be considered to establish the complexity of the event and there- by highlight its importance, Carr does not show how a hierarchy of causes can be derived from a consideration of multiple causes. What he actually wishes to show by discussing the Russian Revolution is that “historical determinism” is not a proper historical logic because it essentially engages in counterfactual reasoning, which is not germane to the historian’s critical aim of determining the past as it is. Against historical determinism’s charge that a historian may not consider other alternatives while focusing too much on one cause, Carr argues that supposing that Stolypin had completed the agrarian reform or that the Bolsheviks did not win the Russian Revolution are not relevant to historical determinism, for the determinist would simply look for causes other than ones which actually occurred to argue that different causes would have different outcomes. Hence, Carr suggests that the suppositions have “nothing to do with history,’’ because counterfactual assertions cannot be proven with any certainty with documented evidence and are non-historical (18). The problem is that Carr never really identifies the precise kind of historical interpretation for which his example from the Russian Revolution is meant to offer support. If the suppositions he made are not “historical,’’ then the real question is, which suppositions should be deemed “historical?’’ Refutation by negation does not necessarily lead to clarity; it only serves as a proof of what an opposing argument cannot be, rather than proving the essence of the opposing argument. More- over, because the basic theoretical argument against “historical determinism’’ is that historical events have multiple causes and do not occur in a vacuum, Carr’s example should have shown how a genuine historical argument can be fruitful by considering multiple causes. After all, the real problem Carr has with “historical determinism’’ is that it assumes that historical events were bound to happen with- out any particular value ascribed to the events’ circumstantial causes. Since Carr is uncomfortable with the unscientific and unhistorical nature of the philosophy, it would have logically made more sense for him to show how historical logic operates in a coherent and powerful manner such that it could not be easily dismissed by proponents of historical determinism. Hence, it would have sufficed to show how causation and causes operate in a historical analysis rather than a proving how “historical determinism’’ has a faulty logic, since the fact that there is a deficiency in an opposing logic does not necessarily imply that an alternative logic must be better simply because it does not have that deficiency. The other problem with Carr’s use of the Russian Revolution is his assumption that the supposed currency of the Russian Revolution as a “modern historical’’ problem has greater importance than “older’’ events such as the Norman Con- quest or the American Revolution. Carr believes that there is a greater desire to remember “options’’ still available for a more recently concluded historical event than much older ones. Carr claims that the expression of diverse passions from non-historians makes it hard for them to accept conclusions of a historian who merely recounts an event as it happened (19). Carr does seem to show why “historical determinism’’ is popular, but his analogy does not necessarily prove why “historical determinism’’ is an unhistorical logic. All events eventually get forgotten to certain degrees in which some facts are going to be better known than others, but it is primarily a historian’s scholarly curiosity which determines the importance of a historical event. Since every historian must have different reasons for believing that a historical event is important, the only impediment with regard to time would be the availability or lack of primary sources rather than a poverty of a historian’s imagination or will to realize innovation. “Older’’ events were once “modern’’ and therefore, importance is inherently a subjective standard which arises from the question of how well individuals remember events. People do remember events which are closer to their immediate memories better than older ones in terms of general details, but squabbling over how alternative causes behind an event might have changed the actual outcome is not necessarily the only reason for which a “modern event’’ must be remembered better than an older event. Christopher Columbus died believing that he had discovered “India” instead of the Caribbean, but the fact that the person might engage in a “historically deterministic’’ debate about how the course of history might have been different had Columbus really landed in North America does not necessarily mean that the person would not engage in historical determinism about other historical events, especially if the person has a passionate interest about them. Chronological distance has no definite correlation with interest because the latter is not necessarily dependent on time but rather on this person’s intellectual curiosity regardless of the event’s currency to the immediate present. Furthermore, thinking historically is a capability, not a matter of predilection. Even if that person remembers the IMF Crisis better than Columbus’s discovery of the Caribbean, it does not follow that “unhistorical’’ suppositions such as “if Columbus had set sail for Africa instead, he would have never discovered the Caribbean” are not relevant to historical thinking. A “cause’’ is not some given concept or model; one has to think through a selection of reasons behind an event to determine which reasons were essential and which ones were merely auxiliary or unimportant in precipitating the occurrence of a phenomenon. Counterfactual reasoning can help a historian think through a rationale for why a supposed cause is actually a noteworthy one; the only caution is to only think through counter- factual claims, not write them down as part of the actual historical reasoning. In other words, the clarity of memory does not necessarily lead to more “historically deterministic debates’’ because logical clarity is independent from the question of whether that logic is “historically deterministic.’’ It is perfectly logical to assume that if Columbus had not been adept at sailing when he was young, then he would have not made the voyage to the Caribbean, for one is only thinking about the causal logic of actions in a given situation and time period without describing the historical consequences of those actions. Thinking about historical events does not always have to imply that one is only thinking about history in terms of chronology, for situational logicality is also important to fathom causality in action, which is what gives contextual meaning and significance to time. Moreover, “historical determinism’’ is an attitude about a particular event or a specific set of events for which a different outcome would have been likely had causes been also different from ones which were originally suggested. Why assume that a desire to adopt such an attitude is stronger with a modern event than a more chronologically distant one? The expression of a particular attitude is not necessarily dependent on how new or old an event is, and chronic difference between a historical event and the individual who is remembering the event may vary ac- cording to the individual who decides to remember it. Yet, emotional attachment to a particular event need not inversely relate with chronological distance because reasons for recollection are far too varied to summarize merely as a function of time. As long as “modern’’ is a relative term expressed from the viewpoint of certain individuals and groups, there will be no rigid standard to determine which memories constitute “modern history.” Moreover, if the historian’s task is to select an “ultimate cause’’ of a particular event, how can a historian be so sure that there is an “ultimate cause’’ without ranking a supposedly “historically deterministic’’ cause? The danger of falling into “historical determinism’’ is not a good reason to avoid considering hypothetical claims, because a historian can always change hypotheses into positive statements by searching for relevant primary and secondary sources to test whether or not there is sufficient evidence to prove its validity. The suitability of a historical cause’s use as part of a historical argument is first and foremost dependent on how reliable that cause is. Carr’s other main concern about historical causality is the disturbing use of the concept of “accidents’’ in history as synonymous with the idea of “no causation.’’ The primary example that he uses to illustrate his critique is “Robinson’s accident.’’ Carr gives a hypothetical example of Robinson, who was crossing the street to buy cigarettes but was unexpectedly struck and killed by an oncoming car. However, if the driver was intoxicated, was driving a car with defective brakes, and hit Robinson in a dark alley where barely anything was visible, what was the actual cause of the accident—Robinson, the defective brakes, the dark alley, or the drunk driver? Instead of answering his own inquiry, Carr states that if two passers-by were to give the opinion that Robinson was killed because he was a heavy smoker, and that had he not gone out to buy the cigarettes, there would have been no accident, they would be employing a “kind of remorseless logic found in Alice in Wonderland and Through the Looking Glass .’’ Carr concludes by remarking that such hypothetical reasoning is not a mode of thought appropriate for history (20). The main deficiency he finds in the concept of “accidents’’ is that an “accident’’ is also an historical event. It is therefore subject to a historian’s analysis of preceding causes leading to the occurrence of the accident. In other words, “accidents’’ cannot escape a historian’s scrutiny just because they seemingly occur without any single clear cause. However complex an accident may be, Carr believes that there is still a hierarchy amongst causes behind an accident which allows the historian to discern between primary causes and auxiliary or negligible ones. The historian’s ability to discern “relevant facts’’ from “irrelevant facts’’ until there is a “rational quilt of knowledge,’’ represents an approximation of a historian’s working mind (21). Unfortunately, Carr does not give a clear answer to the critical question, how does this discernment actually work in practice? There are two ironic errors that Carr commits in telling this narrative. First, despite Carr’s attempt to show why “accidents’’ are still valid elements to consider in historical thinking, he chose the wrong type of example; his example is purely unhistorical. We are only present- ed with a sequence of actions within one ‘historical’ moment rather than several different yet interconnected events across a wide span of time. When historians consider an accident and its causes, they always consider the accident’s relative importance to other events, figures, or conditions. To declare that an event is “historical’’ is to designate a relational quality which suggests that an event has a “historical significance’’ which can describe the event’s relationship or value by connecting with other events, figures, or conditions. If one is ever inclined to declare that a single event alone is historically significant, it can only happen because one presupposes that the event is already well-known because of its relationship with preceding or simultaneous events. For example, from Archduke Ferdinand’s viewpoint, his assassination by Gavrilo Princip was an accident. However, before investigating the causes of the assassination, the historian must establish a rationale to explain why studying the assassination is important. In the case of Archduke Ferdinand, the historian, using a bit of hindsight, can argue that the assassination began a massive wave of violence which rattled across the European continent and ignited the sparks of World War I. By contrast, in Carr’s example, we are not given a reason to believe that studying Robinson’s accident is historically worthwhile. In other words, because Carr did not explain the “historicity’’ of Robinson’s accident, we are not presented with a credible reason to believe that this is a historical event. Carr’s second error is that if we consider Carr’s reason for invoking Robinson’s accident as an example, the example does not illustrate a necessity or method to find multiple causes in historical analysis. If a historian’s prime objective in search- ing for multiple causes is to search for an ultimate cause for a historical phenomenon, then Carr ought to have shown how a historian might approach Robinson’s case as a historical phenomenon. His conclusion that a historian engages selectively with causes is not actually a literal answer to any of his two-part question: 1) How does a historian choose multiple causes? and 2) How does a historian actually select an “ultimate cause’’ from those multiple causes? This is because there is no reason to assume that there must be a single cause for Robinson’s accident at all unless Robinson himself or the driver told the police that there was actually one cause to the accident. Even if the driver had told the police that there was only one cause, it is purely the driver’s own opinion which may or may not be corroborated by other witnesses or circumstantial evidence. From an unassuming observer’s point of view, there is no exact means to verify a sequence of events and pinpoint a singular cause because the observer did not encounter Robinson’s accident in real time along with Robinson. Insofar as this difference between an observer and Robinson exists, there will always be a gulf between speculations and the actual truth. Indeed, because of this gulf, the real moral of Robinson’s accident ought to have been that searching for multiple causes is necessary for a historian to account for every possible explanation of a phenomenon, since the point of finding possible causes of an accident is to establish that an accident can be explained to convince people that the accident can be perceived as an accident. Carr’s argument that one should establish a “hierarchy of causes” implies that there is a particular cause which outranks others in terms of importance. However, there is no such thing as an absolute verification of a truth’s minute details for the historian, unless, very rarely, absolute verification is a necessary condition to prove the soundness of his or her main arguments. A historian is obliged to consider as many aspects of a past event, but no one can know every single detail to get a complete and impeccable picture of an event. The historian has the right to exercise a liberty of imagination based on primary sources and eye-witness accounts, but the historian must also understand that his or her tools to unearth historical facts also delineate the parameters of epistemological certainty. Moreover, Robinson’s example also poses the question of how a historian deter- mines a cause of an accident as an accident, a process that is limited by the quantity and quality of evidence one can find. Since the parameter of what constitutes historical knowledge is bound to change depending on which sources this historian can find, Carr is actually unable to answer the first part of his question. Further- more, because the parameters of knowledge are at the mercy of the availability of historical sources, an attachment to the belief that there must be an ultimate cause is both unrealistic and false, which is why Carr is never able to give a clear answer to the second part of his question. Historical causes are not tangible and therefore cannot be visually compared with each other. Of course, if a historian is writing an autobiography and writes a history of his or her life from what he or she remembers, then, there might be some liberty for the historian to rank causes and choose the ultimate one. In such a case, there is no basis from which another historian can ask why the causes were ranked in one way but not another, because every mind has but one master. The absence of a hierarchy among causes does not imply an absence of certain- ty or that historians ought to be skeptical about everything they encounter. To the contrary, there are undeniable truths in history such as the Holocaust or Russian pogroms of the 19th century. Rather, acknowledging a multiplicity of causes al- lows for a holistic consideration of multiple dimensions of a historical event from which causal explanations can be drawn, which actually prevents a historian from engaging in “historical determinism.” If the objective of studying a historical event is, as Carr claims, to search for one cause with absolute explanatory power, then the historian is actually engaging in ‘historical determinism’ because such an objective reflects the idea’s actual essence. Hence, Carr’s opposition to “historical determinism,’’ which was precisely because he believed in the multiplicity of causes, does not logically follow from invoking Robinson’s example. Furthermore, the witnesses in Robinson’s accident were actually reflecting Carr’s faith in the multiplicity of causes, so the next task was for Carr to show how he could select his ‘ultimate cause’ for explaining why Robinson died. Instead, Carr vaguely suggests that the historian has to be selective about his causes without explaining the end to which this selectivity has value. Hence, Robinson’s example is actually a Straw Man argument because the original purpose for which the example was mentioned does not become clear until Carr supplies a rationale for justifying a hierarchy of causes. As for how and why the hierarchy fundamentally exists, Carr never gives a clear answer. Therefore, Robinson’s death merely illustrates an argument about an element which is not extant in any of Carr’s arguments prior to his discussion of Robinson’s death. 5. Three Central Problems with Carr’s Methodology in “Causation in History’’ In this concluding section, I will identify three central problems with Carr’s method which will serve as a summary of this paper’s main arguments. First, Carr’s notion of a hierarchy of causes and its importance in historical explanation is unfortunately quite nebulous because he never specifies the purpose be- hind the existence of the hierarchy, ignoring the true function of historical causes as a form of scientific processing. Second, Carr’s distinction between “rational” and “accidental” causes is not valid because regardless of an event’s nature, multiple causes are necessary to account for inherent complexities in any historical event and such causes ultimately serve as evidence for a historian’s claim, which means that the more causes a historian can find, the more reliable and believable a historian’s account becomes. On the one hand, multiple causes are necessary to describe different facets of a phenomenon; a historian will summarize his or her main arguments to show readers how those facets constitute the “wholeness’’ of a historical fact. On the other hand, there needs to be a multiplicity in the kinds of causal analysis a historian uses to approximately position arguments within a given subfield of History. Finally, Carr is wrong to suggest that causes determine a historian’s interpretation because the former is just a means for which the historian has the freedom to determine an end. Causes are merely building blocks with which a historian constructs an independently designed interpretation. With regard to Carr’s questions about how a historian chooses multiple causes and selects an “ultimate cause” among them, I argue that the only certainty a historian can have comes from ascertaining that the nature of a cause aligns with the field in which it must be accurately used. When a historian asks the question, ‘Why was Archduke Ferdinand assassinated?’ the historian implicitly means that, in general, he or she is looking for political causes specifically related to nationalist motivations behind the assassination and its impact on the outbreak of World War I, rather than cultural or social causes behind the rise of nationalism in a general sense. An argument can be made that such distinctions can be interchangeable, since Gavrilo Princip’s association with the Black Hand was a culturally motivated expression of a desire to express Serbian nationalism. However, “political’’ and “cultural’’ cannot be so liberally applied in an interchangeable manner because they are merely generic labels conceived under the assumption that historians and the general public know that such a distinction can exist. A historian may find out that Gavrilo Princip preferred Serbian circuses to Austrian ones, but one does not use this cultural fact to describe anything with sufficient certainty about Princip’s personal decision to assassinate Ferdinand, even if there is nothing mentioned in primary sources about it. The transformation of a fact into a cause is actually a fixed relationship, in which a fact can become a cause, but a cause alone can never become a fact. The historian’s designation of an occurrence as a cause reflects a personal belief that an element within a historical figure’s character or a historical event has some reasonable degree of explanatory power. History is, in general, filled with facts, but it is the conditional possibility of several facts turning into believable causes of a historical phenomenon which truly excites the historian. Causes are essentially facts whose relationship amongst themselves and the phenomenon which they wish to explain is firmly and convincingly established by a rich array of primary sources. Facts which hardly need any source-based proof are not likely to become causes because they are generic and mundane enough to be independent of any historical situation. In short, what Carr really means by “a hierarchy of causes’’ is that not all causes are created equal. The real problem is that Carr never really demonstrated what a hierarchy of causes is. While it may not be possible to definitively identify which types of causes matter more than others, Carr ought to have at least shown how a hierarchy among causes can be conceived. Yet, the real heart of the matter is that Carr could not actually show his audience that a hierarchy among causes exists because there is no singular standard of a “hierarchy,’’ other than what a scholar perceives through a meticulous reading of the relevant historical literature. That Carr could not provide a concrete hierarchy strongly suggests the impossibility of doing so because different hierarchies of causation matter for different subfields of History. Movement of capital, markets, and industrial structure in the early 18th century matter more as direct causes be- hind the Industrial Revolution than as causes behind the death of the Avant Garde in the late 20th century. The difference in subfields also translates to differences in particular “states of the field,” or the variance in the levels of academic discourse about various historical topics, leading to different developments in varying facets of historical inquiry. The nature of primary or secondary sources a historian must search for necessarily depends on the questions the historian wishes to answer in relation to how certain historical topics have been addressed in the existing scholarly literature. In other words, a search for primary or secondary sources is a dependent variable of “current’’ historical scholarship because the main function of amassing historical information is to facilitate a productive and meaningful scholarly debate. This debate, in turn, will invite future generations of historians to construct new angles and roads along which the debate must continue. Moreover, because proving causality in historical analysis can only be done through a meticulous examination of primary and secondary sources, it follows that the richness in illustrating historical causality is dependent on the availability of sources. In short, ascribing a strict sense of a hierarchical notion of historical causality is impossible because of three main variables: multiple causes and multiplicity in the kinds of causes, a rigid relationship between facts and causes, in which only the former can transform into the latter, and finally, differences in subfields and varying conditions in historiography, which imply that a historian must pragmatically conceive of a hierarchy of causes which reflects the availability of primary and secondary sources and their ability to cogently deliver a progressive view or methodological contribution to the existing scholarship. The second major problem with Carr’s method is his misconstrued distinction between “rational’’ and “accidental’’ causes. An “accidental’’ cause is a misnomer because no cause can arise without a reason. Even the most unexpected events have clear causes because searching for causation is essentially identical to search- ing for reasonable connections previously ignored or overlooked. Furthermore, if Carr himself acknowledged that ‘accidental’ causes need to undergo strict academic scrutiny as much as “rational’’ causes, then what he really means is that a scholar must have the same approach and attitude toward “accidental’’ causes as he or she has toward “rational’’ or normal causes. Yet, Carr does not illustrate how a historian actually investigates “rational’’ causes because he is interested in comparing “accidental’’ causes with “rational’’ ones rather than demonstrating how a historian uses each type of cause to con- struct a historical analysis or make an observation. In practice, Carr did not have to make a distinction between the two causes. A historian can propose rational explanations for supposedly accidental causes, and once this is done, there is no difference between “rational’’ and “accidental’’ causes. I will illustrate my point by comparing Caesar’s crossing of the Rubicon as a “rational’’ event, and Pierre Curie’s carriage accident as a literally “accidental’’ event. I will show how these two events deserve equally serious scholarly attention because they all involve the same process of investigation, regardless of an event’s nature. Caesar’s decision to cross the Rubicon would be a rational event because the crossing itself is a “reasonable’’ action in that a man mounted on horseback can cross a river because he has the will and means to do so. Such an action can be expected, for regardless of what the Roman Senate thought, Caesar only had two choices: defy the Senate by crossing the river or obey the Senate and let them limit his actions. Caesar’s decision to cross the Rubicon was not “surprising’’ as an action in itself; neither would the decision not to cross be surprising, unless Caesar somehow died for reasons unrelated to the crossing. By contrast, Pierre Curie’s carriage accident is not a rational event because the exact circumstances are open to much speculation. We do not know so many de- tails about how Marie Curie’s husband died, but it would hardly matter whether the driver of the carriage or Pierre Curie was drunk or whether Curie was jogging when the driver lost control of the carriage and hit Curie at break-neck speed. What remains true independent from causes is that it was an accident because neither Curie nor the driver would have expected to run into each other, for they were no mutual acquaintances. According to Carr, the rationality of a cause does not affect its historical investigation, making both “rational” and “accidental” causes garner the same approach. Although Carr never defines what a “rational’’ event is, since human beings are responsible for creating events, it follows that what is rational is what can be expected within the realm of reasonable human behavior and thought. If the primary function of historical causes is to explain why a phenomenon, regardless of its nature, occurred, then identifying how an accident became an accident is in itself an explanation, no matter how unexpected or unforeseeable the accident must have been to the people involved in it. However, regardless of how much we know or do not know about Caesar or Pierre Curie, the principles of research remain identical. A historian must first amass all records on the crossing of the Rubicon and Pierre Curie’s accident, gather any witness testimonies to corroborate on controversial or obscure aspects of each case, perform a theoretical analysis of causes and speculations, and finally, arrive at reasonable conclusions based on the existing evidence. The rationality of the research process which is common to both events is what makes a study of the two events rational, for the nature of an event does not necessarily reflect or dictate the nature of the means with which one ought to study each event. If accidents, like rational events, also have causes, then Carr ought to have shown how “accidents’’ could be considered the antithesis of rational events. An accident is unexpected, but is not irrational, for every cause of an accident is borne from actions which the individuals involved consider rational. If two speeding cars collide, it could be an accident borne from the drivers’ disregard for the speed limit, or from one driver’s inebriation. Still regardless of whether it is due to mis- handling the car or personal flaws, none of the causes are irrational. Disregarding the speed limit or drinking heavily may have been a mistake, but neither of these activities are incapable of having a logic ascribed to them, for a historian can still argue that committing these mistakes, regardless of their severity, contributed to the occurrence of the accident. Insofar as all actions have causes and motives in their creation, the historian is obliged to study them with an eye towards collecting all relevant facts, an action unrelated to how rational or irrational a historical event may seem. It is because, as I argued through the example of Caesar crossing the Rubicon and Pierre Curie’s accident, no elements are beyond the reasonably expected scope of human behavior. Regardless of whether an event was planned or turned out to be an accident, what remains constant in both cases is that there are various actions a person can take at a particular time, and every action will have a distinct set of reasons. Carr’s distinction between rational and “irrational’’ causes is therefore, a faulty comparison, for there is no clear reason given to believe that accidents are inherently “irrational,’’ and because historians can also surmise about causes behind accidents insofar as accidents are human-induced events. The final point of this paper is that a historian’s personal selection of causes does not dictate a singular direction of interpretation. Establishing causation and providing interpretation are independently creative activities conjoined by the necessity to give coherence to a historian’s general argument. Carr seems to believe that a historian is reflecting private opinions through a selection of causes, but the selection is only the means to the ultimate end-to generate a unique interpretation which does not necessarily reflect what the causes themselves have to say about a topic. Causes in and of themselves reflect no emotions; until the historian judges the causes to be positive or negative in nature in relation to the argument he or she wants to make from the causes, causes are merely guidelines and building blocks to the overall argument which gives the essential structure to the historian’s logic. Causes merely reflect a historian’s judgment about a possibility in believing that a phenomenon happened in one direction. The real essence of the historian’s argument lies in what the historian thinks about the phenomenon, not the causes. The historian’s attention must not be limited to understanding how a car’s assembly line malfunctioned, but be extended to observe how the car as a finished product qualitatively suffers as a result of faults in the assembly line. Carr’s argument about causes might be feasible if a historian is trying to find out the causes behind a historical tragedy, but even in this case, the historian’s real argument is about proving one can see that it was a tragedy. For example, if the sinking of the Titanic was truly due to a crash into an iceberg, and a historian proves that indeed it was so, the moral of the research is not just that “a ship hit an iceberg and sank.” Rather, the moral is that because of this linkage, one can conclude that it was a terrible accident and a tragedy. Even if a historian should conclude with identifying the iceberg as the cause of the tragedy, the identification of the cause does not dictate the interpretation of the phenomenon because interpretation is not about identifying what or why something happened. Instead, interpretation is concerned with what one should observe from the structure of a historical phenomenon that emerges from identifying the cause behind the phenomenon. Identifying causes alone does not make the study of History interesting; one needs to show how causes function to produce original observations about a holistic phenomenon that emerges from showing a causal relationship between or within a series of linked phenomena. Once a general picture of a historical phenomenon emerges, every historian can have a glimpse into how the phenomenon got concluded, no matter how many diverse facts about it are unearthed. Yet, the most interesting question in historical research is not what happened, but how an event unfolded to produce a particular result. In answering “how,’’ every historian is bound to focus on diverse and specific causes to explain the general outcome. Most historians will not focus on what the importance of a particular cause is simply by analyzing the cause in its own terms but on what that cause means in relation to a web of other multiple causes. Furthermore, since a cause is but one element in a historian’s interpretation of relations between phenomena; what are termed “causes’’ were actually phenomena happening in real time for historical actors. Therefore, the originality of historical interpretation does not arise simply from cherry-picking elements from a single phenomenon to serve as “causes’’ but in linking multiple phenomena into one grand narrative. In creating this grand narrative, the historian’s goal is to show how the phenomena relate to each other, and therefore to produce an original view about how to understand the relationship. What Carr’s arguments do show is that a search for causes and causation is worthwhile because every historical cause originally begins from ascertaining historical facts, which in turn, helps a historian discover and rationally explain new discoveries. Moreover, historical causes need to delineate boundaries between various subfields in History to assure that each field employs appropriate causes which best explain a phenomenon under scrutiny. Furthermore, a proper search for historical causation must not engage in a distinction between ‘rational’ and ‘accidental’ causes because all causes are valuable insofar as they serve the primary function of explaining what happened and why an event occurred. Insofar as the historian’s duty to tell the true sequence of actions behind an event remains valid for all rational or accidental incidents, a historian must concentrate on finding causes to fulfill a cause’s fundamental purpose. Finally, causes are building blocks to facilitate an original and interesting interpretation of a historical event, but causes alone do not possess the power to determine the entire direction of an interpretation. An incisive eye for finding accurate explanations must combine with a historian’s unique imagination and vision to recreate a believable “image’’ of a reality that corresponds closely to the truth which the historian found. The combination can only come about smoothly if a discovery of causes and an original analysis of the significance of the discovery are independent and not concurrent activities of an inquisitive scholarly mind. A respect for a cause’s individuality that is distinct from a historical fact, a respect for a cause’s explanatory prowess rather than its rational or accidental nature, and a separation between the discovery and interpretation of causes are essential to the pursuit of History as a rigorous, liberal, and original science. Endnotes 1 Bernard Barber, “Review of What is History? by Edward Hallett Carr,” American Journal of Sociology, Vol. 68, No. 2 (September, 1962), 260-262; Seymour Itzkoff, “Review of What is History? by Edward Hallett Carr,” History of Education Quarterly, Vol. 2, No. 2 (June, 1962), 132-134; Jacob Price, “Review of What is History?: The George-Macaulay Trevelyan Lectures Delivered in the University of Cambridge, January-March 1961 by Edward Hallett Carr,” History and Theory, Vol. 3, No. 1 (1963), 136-145; Patrick Gardiner, “Review of What Is History? by E. H. Carr,” The Philosophical Review, Vol. 73, No. 4 (October, 1964), 557-559. 2 Aviezer Tucker, “Causation in Historiography,” in Aviezer Tucker ed., A Companion to the Philosophy of History and Historiography (Chichester, United Kingdom: Wiley-Blackwell, 2011), 101. 3 Ann Frazier, “The Criterion of Historical Knowledge,” Journal of Thought, Vol. 11, No. 1 (January, 1976), 66-67. 4 Geoffrey Partington, “Relativism, Objectivity, and Moral Judgment,” Journal of Educational Studies, Vol. 27, No. 2 (June, 1979), 125-139. 5 Ann Talbot, “Chance and Necessity in History: E. H. Carr and Leon Trotsky Compared,” Historical Social Research, Vol. 34, No. 3 (2009), 95. 6 Edward Hallett Ibid (New York: Pantheon Books, 1961), 116. 7 Carr, What is History?, 117. 8 Ibid, 121-122. 9 Ibid, 122-123. 10 Ibid, 126. 11 Ibid, 133. 12 Ibid, 137. 13 Ibid, 134. 14 Ibid, 135. 15 Ibid, 141. 16 Ibid, 142. 17 Ibid, 143. 18 Ibid, 127. 19 Ibid, 136. 20 Ibid, 138. In the actual passage, he calls it the “Dodgsonian mode” after the author of Through the Looking Glass. 21 Ibid, 136. References Barber, Bernard, “Review of What is History? by Edward Hallett Carr,” American Journal of Sociology , Vol. 68, No. 2 (September, 1962), 260-262. Edward Hallett Ibid (New York: Pantheon Books, 1961). Frazier, Ann, “The Criterion of Historical Knowledge,” Journal of Thought , Vol. 11, No. 1 (January, 1976), 60-67. Gardiner, Patrick, “Review of What Is History? by E. H. Carr,” The Philosophical Review , Vol. 73, No. 4 (October, 1964), 557-559. Itzkoff, Seymour, “Review of What is History? by Edward Hallett Carr,” History of Education Quarterly , Vol. 2, No. 2 (June, 1962), 132-134. Partington, Geoffrey, “Relativism, Objectivity, and Moral Judgment,” British Journal of Educational Studies , Vol. 27, No. 2 (June, 1979), 125-139. Price, Jacob, “Review of What is History?: The George-Macaulay Trevelyan Lectures Delivered in the University of Cambridge, January-March 1961 by Edward Hallett Carr,” History and Theory , Vol. 3, No. 1 (1963), 136-145. Talbot, Ann, “Chance and Necessity in History: E. H. Carr and Leon Trotsky Compared,” Historical Social Research , Vol. 34, No. 3 (2009), 88-96. Tucker, Aviezer, “Causation in Historiography,” in Tucker, Aviezer ed., A Companion to the Philosophy of History (Chichester, United Kingdom: Wiley-Black- well, 2011), 98-108. Previous Next

The Brown University Journal of Philosophy, Politics, and Economics (JPPE) is a peer reviewed academic journal for undergraduate and graduate students that is sponsored by the Political Theory Project and the Philosophy, Politics, and Economics Society Program at Brown University. The Brown University Journal of Philosophy, Politics & Economics *FEATURES * FROM GREG FISCHER Mayor of Louisville, KY Jorge O. Elorza Mayor of Providence, RI Economics Cannabis By Kaid Ray-Tipton Latent Effects of Cannabis Legalization: Racial Disproportionality and Disparity in Washington State Drug Convictions, 2000-2015 Click to flip through the journal Philosophy A More Perfect Union Economics Energy By Benjamin Seymour Inclusive Norms and the Future of Liberal Unity By Jingpeng Shao Embracing Renewable Energy for Sustainable Job Growth in West Virginia economics Politics A.S.E.A.N Philosophy Transcendental Self By Hisyam Takiudin The Long Game: ASEAN, China's Charm Offensive and the South China Sea Dispute By Jennifer Kim Reconceptualizing the Idea of the Self Within Western Philosophy: The Existence-Reason Binary and the Nonrational Transcendental Self Politics Racial Capitalism Politics American Jews By Olerato Mogomotsi Racial Capitalism in Post-Apartheid South Africa: Challenging the Fallacy of Black Entitlement under Service Delivery Protests. By Jake Goodman The Political Behavior of American Jews A Public Choice Approach to Israel-influenced Voting

Journal Features Online Features & Interviews Vol. IV | Issue II JPPE Interview Geoff Mulgan Vol. IV | Issue II Foreword Editoral Board Vol. IV | Issue II Vol. IV | Issue I JPPE Interview Danielle Bainbridge Vol. IV | Issue I Vol. III | Issue II Mark Carney The Road to Glasgow is Paved with Data Vol. III | Issue II Douglas Beal The Financial Case for Nations and Corporations to Put People and the Planet First Vol. III | Issue II Vol. II | Issue II JPPE Interview Steven Pinker Vol. II | Issue II JPPE Interview Yanis Varoufakis Vol. II | Issue II JPPE Interview Paul Krugman Vol. II | Issue II Foreword Editorial Board Vol. II | Issue II Vol. II | Issue I Sheldon Whitehouse United States Senator from Rhode Island Vol. II | Issue I Foreword Editorial Board Vol. II | Issue I Vol. I | Issue II Nicola Sturgeon First Minister of Scotland Vol. I | Issue II John R. Allen President of the Brookings Institution Vol. I | Issue II Foreword Editorial Board Vol. I | Issue II Vol. I | Issue I Jorge O. Elorza Mayor of Providence, Rhode Island Vol. I | Issue I Greg Fischer Mayor of Louisville, Kentucky Vol. I | Issue I Foreword Editorial Board Vol. I | Issue I

*Feature* Greg Fischer Greg Fischer Mayor of Louisville, KY Spring 2018 I came to public service after spending 30 years working as an entrepreneur. In the business world, I found that the best way to accomplish goals was to envision a bright future, and then work hard in collaboration with others to make that vision a reality. That’s the approach I brought to city government when I became mayor of my hometown in 2011. Louisville, like our country as a whole, was still coming out of the Great Recession; unemployment was over 10 percent; we’d been losing jobs; and there was a general sense of anxiety about the future. My team and I worked to address those fundamental economic concerns but we also knew that you don’t solve one challenge by neglecting the others. To prime our city for 21st-century success, we needed to change Louisville’s culture, and that meant cultivating an attitude of optimism, while also working to strengthen the bonds among the members of our increasingly diverse city of 760,000. In my inaugural speech, I set out the three core values my team would use to guide our work: We would make Louisville a city of lifelong learning, a healthier city, and an even more compassionate city. I emphasized these values because they’re essential for citizens in any successful, modern, global city: Lifelong learning is essential because, in a world where we’re seeing constant technological, economic and societal changes, it’s the lifelong learners who are best equipped to adapt and thrive. Health, which we define as both human and environmental health, is the most fundamental human need. Compassion helps build what I call our city’s “social muscles” – the bonds that form among the members of our community and that help us stay united in challenging times. Our focus on compassion compels us to help everyone in our city regardless of race, gender, wealth, nationality or circumstance reach their full human potential. My decision to highlight compassion as a core value earned me some criticism from a few people who said it would make our city look weak, but it’s clear that compassion is a smart leadership strategy for any city. Seven years in, the results of our work show that compassion and economic growth can go hand-in-hand: Since 2011, our city has created over 70,000 new private sector jobs, opened 2,500 new businesses, reduced unemployment to 3.2 percent, and attracted nearly $13 billion in capital investment. Though we’re proud of these accomplishments, a city’s prosperity is only real when it is shared by all. That’s why it’s tremendously encouraging to see signs of growth in some of our historically underserved neighborhoods, particularly in west Louisville, where too many people have been hindered by racist practices like redlining and urban renewal in the 20th century. These were official government policies that targeted African-Americans in our community and many others. As public servants, we have an obligation to address these historic injustices. We’ve been working with partners in the public and private sectors to create opportunities in underserved areas, and have recently seen more than $800 million of public and private investment pour into west Louisville. City government is also working to clear the path to prosperity through programs that encourage entrepreneurs, job training and home ownership. We’re also working on digital inclusion, attempting to increase access to the tools of 21st-century learning and communication. Compassion fuels these and all our decisions at Louisville Metro Government because it’s the morally right approach and because helping more people realize their full potential helps our city reach its own. For example, if every Louisville family earning poverty-level wages earned a living wage, it would add almost $900 million to our city’s economy every year. That’s a win for everyone. One way we’re working to accomplish this is by creating opportunities for our young people. This year will mark the seventh year of our SummerWorks program, which we created to help counter the high rates of youth unemployment that lingered after the recession. Focusing on people ages 16-21, SummerWorks is now helping more than 5,000 youth find summer jobs with more than 170 local businesses, from mom-and-pop shops to Fortune 500 companies. We also have to continue working to help our citizens at every stage of their careers get the skills they need to compete and win in the careers of the future. Partnering with key local industries, we’ve helped establish public-private initiatives like Code Louisville, which provides free training in software coding, as well as the Kentucky Health Career Center and Kentucky Manufacturing Career Center. In addition, as a welcoming, globally-minded city, Louisville must support the members of our growing immigrant community. That’s why we provide the opportunity to earn professional certifications through our MTELL program: Manufacturing Training for English Language Learners. Our core values of compassion and lifelong learning come together in many of our programs, including the Compassionate Schools Project, which we launched in 2015 in partnership with Jefferson County Public Schools and the University of Virginia. Today, many of Louisville’s elementary school children are learning a revolutionary new curriculum that integrates mindfulness, compassion, nutrition, wellness and more into the school day to help our youth become better learners and better citizens. Creating pathways to opportunity also means removing barriers, including violent crime. We created our Office for Safe and Healthy Neighborhoods, whose mission is to encourage peace and health in every neighborhood and reduce the violence too often experienced by young adults in under-resourced communities. Safe and Healthy Neighborhoods works with local and national partners to fund and facilitate innovative programs such as Pivot 2 Peace, which identifies victims of violence from ZIP codes that have high rates of violent crime – and while those victims are recovering, a social worker visits them in the hospital and provides information about pathways to education, employment and more in an effort to break the cycle of violence. Compassion-driven programs like these have helped us respond to the challenges that Louisville, like any city, inevitably faces, and emerge stronger and more invested in one another and our collective future. Looking ahead to the future of Louisville (and I hope, other cities as well), the vision guiding us remains the same: I see a growing community that honors and learns from the past, lives fully in the present and prepares for the future. I see a thriving city that competes and wins in the global marketplace and whose reputation for compassion, innovation and opportunity continues to grow on the world stage. I see a sustainable city, filled with safe and healthy neighborhoods, where good health and prosperity are equally available to people of every age, race and background. I see a connected and compassionate city, where every person has the chance to reach their full human potential. Even as so much of our country and our world seems to be focused on division, and embracing an us-vs-them ideology, I remain optimistic about our future. That’s because I see so many determined people of all ages, races and backgrounds working to create a better future. They believe in what Louisville’s great native son Muhammad Ali called, “the work of the heart.” The world-champion boxer and humanitarian loved his hometown and in challenging moments, I take comfort from The Champ’s words, “All through my life I have been tested. My will has been tested, my courage has been tested,” he wrote in The Soul of a Butterfly. “My soul has grown over the years, and some of my views have changed. As long as I am alive, I will continue to try to understand more because the work of the heart is never done." The City is taking a holistic approach to our economic revitalization process by hosting hundreds of community conversations across the City to help inform decisions around major projects. After hearing from our residents, we’ve prioritized investing in innovative educational programming to address historic inequities; creating dynamic workforce programs more suitable for an inclusive new economy; and leveraging our inherent strengths to produce more sustainable growth.