Extended Data Fig. 6: Predicted posterior fraud belief for each scenario across models. | Nature Human Behaviour

Extended Data Fig. 6: Predicted posterior fraud belief for each scenario across models.

From: A belief systems analysis of fraud beliefs following the 2020 US election

Extended Data Fig. 6

Paralleling the empirical results from Fig. 1c, the model-based predictions of the posterior fraud belief for each participant (N = 828) are presented as a function of the map scenario (hypothetical winner), for each of the four models: (a) The original Bayesian model (note that the plot for the Bayesian model is also the plot for the Hypothesis Desirability model, because fitting the latter to the data yields \(\alpha = 0\)); (b) the Outcome Desirability model; (c) the Fraud-Only model; and (d) the Random Beneficiary model. In all panels, the prior values are based on the empirically obtained prior fraud beliefs from the original survey, only for participants who completed the follow-up survey. Points represent single participants, and error bars represent standard error of the mean across participants.

Back to article page