A Belief Systems Analysis of Fraud Beliefs Following the 2020 U.S. Election

Empirical data on fraud belief dynamics collected during the 2020 U.S. presidential election vote count demonstrate preference-related biases in belief updating. Bayesian models suggest that these apparent biases may be accounted for in a belief systems perspective, by rational inference from biased prior beliefs.