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Brian Thompson-Collart

Biographic Data

ID4123301
NAMEBrian Thompson-Collart
GIVEN NAMESBrian
FAMILY NAMEThompson-Collart
SIGNATURETHOMPSON-COLLART B
AFFILIATIONSUniversité Laval
ORCID0009-0001-1569-1786
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Citizens’ Electoral Expectations in Imperfect Democracies

    Open Access•Brian Thompson-Collart, Philippe Mongrain•ARTICLE•Revista Latinoamericana de…•2025

    Citizens can predict election outcomes well in advance of voting. However, nearly all existing research only examines mature democracies. Therefore, little is known about citizens’ forecasting abilities in other types of political regimes. This article addresses that gap by examining whether citizens in other regimes can form accurate vote expectations. Drawing on a large dataset of nearly 60,000 respondents, we evaluate citizens’ forecasting acc…

  • Working the Crowd

    Open Access•Philippe Mongrain, Nadjim Fréchet et al.•ARTICLE•Canadian Journal of Political…•2025•Cited by: 1•References: 66

    According to the “miracle of aggregation” principle, in the absence of systematic biases, errors in individual judgments within a population should cancel each other out and lead to a correct decision at the aggregate level. This article explores potential individual- and group-level correlates of the accuracy of citizens’ electoral expectations and investigates how potential markers of political sophistication—namely, educational attainment and …

  • Can Latin American Voters see the Future

    Open Access•Brian Thompson-Collart, Yannick Dufresne et al.•ARTICLE•Revista Latinoamericana de…•2024

    The present study examined whether Argentinian citizens could predict election results at the sub-national level. We targeted Argentinian Twitter users in seven provinces with polls using Twitter Ads. Argentinian Twitter users constitute a high-ability subgroup that possesses several characteristics that enhance citizen forecasting competence. The polls asked citizens to predict what party would win the first round of the upcoming presidential el…

  • Lessons Learned

    Open Access•Brian Thompson-Collart, Hubert Cadieux et al.•ARTICLE•PS Political Science & Politics•2024

    Every four years, numerous election-forecasting models attempt to predict the results of the US presidential election. Regardless of the stability of any election system, such as the bipartisan system in the United States, conditions can arise (e.g., candidate resignations) that negatively impact forecasters’ ability to predict electoral outcomes. Citizen forecasting—that is, directly asking respondents who they think will win an election—has a l…

  • Working the Crowd

    Open Access•Philippe Mongrain, Nadjim Fréchet et al.•ARTICLE•Canadian Journal of Political…•2025•Cited by: 1•References: 66

    According to the “miracle of aggregation” principle, in the absence of systematic biases, errors in individual judgments within a population should cancel each other out and lead to a correct decision at the aggregate level. This article explores potential individual- and group-level correlates of the accuracy of citizens’ electoral expectations and investigates how potential markers of political sophistication—namely, educational attainment and …

  • Can Latin American Voters see the Future

    Open Access•Brian Thompson-Collart, Yannick Dufresne et al.•ARTICLE•Revista Latinoamericana de…•2024

    The present study examined whether Argentinian citizens could predict election results at the sub-national level. We targeted Argentinian Twitter users in seven provinces with polls using Twitter Ads. Argentinian Twitter users constitute a high-ability subgroup that possesses several characteristics that enhance citizen forecasting competence. The polls asked citizens to predict what party would win the first round of the upcoming presidential el…

  • Lessons Learned

    Open Access•Brian Thompson-Collart, Hubert Cadieux et al.•ARTICLE•PS Political Science & Politics•2024

    Every four years, numerous election-forecasting models attempt to predict the results of the US presidential election. Regardless of the stability of any election system, such as the bipartisan system in the United States, conditions can arise (e.g., candidate resignations) that negatively impact forecasters’ ability to predict electoral outcomes. Citizen forecasting—that is, directly asking respondents who they think will win an election—has a l…

  • Citizens’ Electoral Expectations in Imperfect Democracies

    Open Access•Brian Thompson-Collart, Philippe Mongrain•ARTICLE•Revista Latinoamericana de…•2025

    Citizens can predict election outcomes well in advance of voting. However, nearly all existing research only examines mature democracies. Therefore, little is known about citizens’ forecasting abilities in other types of political regimes. This article addresses that gap by examining whether citizens in other regimes can form accurate vote expectations. Drawing on a large dataset of nearly 60,000 respondents, we evaluate citizens’ forecasting acc…

  • Working the Crowd

    Open Access•Philippe Mongrain, Nadjim Fréchet et al.•ARTICLE•Canadian Journal of Political…•2025•Cited by: 1•References: 66

    According to the “miracle of aggregation” principle, in the absence of systematic biases, errors in individual judgments within a population should cancel each other out and lead to a correct decision at the aggregate level. This article explores potential individual- and group-level correlates of the accuracy of citizens’ electoral expectations and investigates how potential markers of political sophistication—namely, educational attainment and …

Electoral Systems and Political Participation (3 works) · Political science (3 works) · Law (2 works) · Politics (2 works) · Politics and Society in Latin America (2 works) · Presidential election (2 works) · Presidential system (2 works) · Sophistication (2 works) · Computer Science (1 work) · Crowd sourcing (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae