Scientific evidence has documented we are undergoing a mass extinction of species, caused by human activity. However, allocating conservation resources is difficult due to scarce evidence on damages from losing individual species. This paper studies the collapse of vultures in India, triggered by the expiry of a patent on a painkiller. Our results suggest the functional extinction of vultures—efficient scavengers that removed carcasses from the environment—increased human mortality by over 4 percent because of a large negative shock to sanitation. We quantify damages at $69.4 billion per year. These results suggest high returns to conserving keystone species such as vultures.

Extensive research investigates the impact of descriptive representation on women’s political participation; yet, the underlying mechanisms remain unclear. This article develops a novel theory of descriptive representation, arguing that women politicians mobilize women’s political participation by recruiting women as grassroots party activists. Evidence from a citizen survey and the natural experiment of gender quotas in India confirm that women politicians are more likely to recruit women party activists, and citizens report greater contact with them in reserved constituencies during elections. Furthermore, with women party activists at the helm, electoral campaigns are more likely to contact women, and activist contact is positively associated with political knowledge and participation. Evidence from representative surveys of politicians and party activists and fieldwork in campaigns, further support the theory. The findings highlight the pivotal role of women’s party activism in shaping women’s political behavior, especially in contexts with pervasive clientelism and persistent gender unequal norms.

Researchers have long debated how radio broadcasts affected the dynamics of the 1994 genocide in Rwanda, with some arguing that the radio was highly consequential, and others suggesting such effects have been overstated. This article contributes to these debates—as well as to debates regarding the role of old and new media in collective action—by examining whether and how Radio Télévision Libre des Mille Collines (Radio RTLM) coverage was associated with two core aspects of the violence: (1) subnational onset of genocidal violence and (2) participation in genocidal violence across subnational spaces. Drawing on new data on Radio RTLM coverage, we find that areas with coverage were more likely to experience immediate onset of violence. However, our analysis of participation in the genocide—which uses more accurate measures of participation and of radio coverage than prior studies—finds no significant association between Radio RTLM coverage and subnational levels of participation. After illustrating that these results are robust to numerous model specifications, we theorize that information broadcast over the radio’s airways contributed to the creation of a critical mass that initiated genocide in localized spaces. We conclude by considering the importance of understanding the role of media in the subnational onset of violence.

The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In a TND study, individuals who experience symptoms and seek care are recruited and tested for the infectious disease which defines cases and controls. Despite TND’s potential to reduce unobserved differences in healthcare seeking behavior (HSB) between vaccinated and unvaccinated subjects, it remains subject to various potential biases. First, residual confounding may remain due to unobserved HSB, occupation as healthcare worker, or previous infection history. Second, because selection into the TND sample is a common consequence of infection and HSB, collider stratification bias may exist when conditioning the analysis on tested samples, which further induces confounding by latent HSB. In this article, we present a novel approach to identify and estimate vaccine effectiveness in the target population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden bias in TND studies. We illustrate our proposed method with extensive simulations and an application to study COVID-19 vaccine effectiveness using data from the University of Michigan Health System. Supplementary materials for this article are available online.

When nine Ghanaian banks collapsed during the country's 2017–2019 financial crisis, a Charismatic Pentecostal pastor was at the center of public accusations as the board chairman of one of the failed banks. His role put a spotlight on the growing influence of Charismatic Pentecostal institutions and elites in Ghana's financial market. Shifting the perspective between diverse actors who reckoned with the bank's collapse, from ordinary Christians to artist-activists, this article explores how Ghanaians evaluated the culpability of the pastor and in so doing problematized who Christian elites involved in banking and business are accountable to: God, their congregants, or the public at large? We argue that global financial liberalization has generated new types of financial elites, Pentecostal pastors among them, who become subject to new lines of accountability. Holding someone accountable comes with stakes expressed through vernacular registers that demonstrate how financial markets are engulfed in broader social relations and regimes of ethical evaluation.

In texts, films, paintings and speeches, New Deal policymakers and allied intellectuals deployed biblical language and images to evoke contrition for environmental “sins.” The sins of the fathers, namely the exploitative land use on the part of settlers and agro-capitalists, were now being visited on the Depression generation in the catastrophes not only of wind-born soil erosion (as in the Dust Bowl) but also the more extensive threat of gullying and water-born erosion. New Deal uses of the Bible, we argue, were not an instrumental conceit designed to manipulate hearts and minds. Rather, New Deal environmental thought, even at its seemingly most technocratic, was profoundly embedded within Christian imaginaries of sin and redemption. Scientific and religious modes of authority merged with the offices of state. As such, the soil Jeremiad is one illustration of both the need for and potential benefit of thickening “inter-field” religious and environmental methodologies—a potential we explore in this essay. In historicizing the soil Jeremiad, we also offer an example of how we might better understand the importance of religion for the history of the environmental movement beyond stories from activists’ biographies and move toward a religious-environmental history of the public sphere itself.

Carefully standardized facial images of 591 participants were taken in the laboratory while controlling for self-presentation, facial expression, head orientation, and image properties. They were presented to human raters and a facial recognition algorithm: both humans (r = .21) and the algorithm (r = .22) could predict participants’ scores on a political orientation scale (Cronbach’s α = .94) decorrelated with age, gender, and ethnicity. These effects are on par with how well job interviews predict job success, or alcohol drives aggressiveness. The algorithm’s predictive accuracy was even higher (r = .31) when it leveraged information on participants’ age, gender, and ethnicity. Moreover, the associations between facial appearance and political orientation seem to generalize beyond our sample: The predictive model derived from standardized images (while controlling for age, gender, and ethnicity) could predict political orientation (r ≈ .13) from naturalistic images of 3,401 politicians from the United States, the United Kingdom, and Canada. The analysis of facial features associated with political orientation revealed that conservatives tended to have larger lower faces. The predictability of political orientation from standardized images has critical implications for privacy, the regulation of facial recognition technology, and understanding the origins and consequences of political orientation.