Bayesian decision-making models fail to accurately predict human choices in specific tasks
the verdict
SUPPORTED
the evidence backs this
confidence 84/100
Multiple studies demonstrate that human choices frequently deviate from optimal Bayesian predictions due to cognitive constraints, probability distortions, and bounded rationality.
Evidence for · 2
The bounded rationality of probability distortion.
2020 · cited by 21
The study demonstrates that human probability distortions systematically deviate from normative statistical values in decision-making and relative frequency tasks, supporting alternative bounded models over standard Bayesian approaches.
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More for · 1
Resource-rational account of sequential effects in human prediction.
2024 · cited by 3
Research on sequential effects shows that human predictions depart from optimal Bayesian processes due to cognitive constraints and specific belief updating costs.