The SARS-CoV-2 virus was first identified in Wuhan, China, in late December 2019, and it quickly spread to many countries. By March 2020, the virus had triggered a global pandemic (World Health Organization, 2020). In response to this crisis, governments have implemented unprecedented public health measures. The success of these policies will largely depend on the public's willingness to comply with new rules. A key factor in citizens’ willingness to comply is their understanding of the data that motivate government action. In this study, we examine how different ways of presenting these data visually can affect citizen's perceptions, attitudes and support for public policy.

An important body of literature shows that citizens evaluate elected officials based on their past performance. In the aftermath of the 2020 presidential election, the conventional wisdom in both media and academic discourse was that Donald Trump would have been a two-term president absent an unprecedented, global force majeure. In this research note, we address a simple question: did exposure to COVID-19 impact vote choice in the 2020 presidential election? Using data from the Cooperative Election Study, we find that Trump’s vote share decreased because of COVID-19. However, there is no evidence suggesting that Joe Biden loses the election when no voter reports exposure to coronavirus cases and deaths. These negligible effects are found at both the national and state levels, and are robust to an exhaustive set of confounders across model specifications.

We analyze the statistical power of political science research by collating over 16,000 hypothesis tests from about 2,000 articles. Even with generous assumptions, the median analysis has about 10% power, and only about 1 in 10 tests have at least 80% power to detect the consensus effects reported in the literature. There is also substantial heterogeneity in tests across research areas, with some being characterized by high-power but most having very low power. To contextualize our findings, we survey political methodologists to assess their expectations about power levels. Most methodologists greatly overestimate the statistical power of political science research.

In late 2017, the first unified Republican government in 15 years enacted the Tax Cuts and Jobs Act, which cut taxes for corporations and the wealthy. Why did so many citizens support a policy that primarily benefited people richer than them? The self-interest hypothesis holds that individuals act upon the position they occupy in the income distribution: richer (poorer) taxpayers should favor (oppose) regressive policy. Associations between income and policy preferences are often inconsistent, however, suggesting that many citizens fail to connect their self-interest to taxation. Indeed, political psychologists have shown compellingly that citizens can be guided by partisan considerations not necessarily aligned with their own interests. This article assesses public support for the Tax Cuts and Jobs Act of 2017. Using data from the 2018 Cooperative Congressional Election Study as well as contemporaneous ANES and VOTER surveys to replicate our analyses, we show that self-interest and partisanship both come into play, but that partisanship matters more. Personal financial considerations, while less influential than party identification, are relevant for two groups of individuals: Republicans and the politically unsophisticated.

In a seminal article published in 2003, Blais et al. demonstrated that local candidates mattered for about 5 per cent of voters in the 2000 Canadian federal election. This study's reliance on a single election raises external validity concerns. We replicate Blais et al.'s original analyses on four elections from 2000 to 2008 using a decade's worth of data from the Canadian Election Study. The local candidate effect first uncovered by Blais et al. is not specific to a single election. Local candidates are a decisive consideration for about 5 to 8 per cent of voters outside Quebec and for about 2 to 5 per cent of voters in Quebec.