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People Make the Same Bayesian Judgment They Criticize in Others.
Jack Cao1, Max Kleiman-Weiner1,2, Mahzarin R Banaji1
11 Department of Psychology, Harvard University.
Psychological Science
|November 13, 2018
Summary
People condemn Bayesian judgments based on group priors, yet make such judgments themselves. This bias reveals a conflict between egalitarianism and statistical reasoning in social judgments.
Area of Science:
- Social psychology
- Behavioral economics
- Cognitive science
Background:
- Egalitarianism promotes equal judgment regardless of group.
- Bayesian rationality suggests incorporating group-based priors for statistical accuracy.
- These principles often conflict in real-world judgments.
Purpose of the Study:
- To investigate how individuals navigate the conflict between egalitarianism and Bayesian rationality.
- To examine laypeople's reactions to Bayesian judgments that incorporate group priors.
- To understand the psychological underpinnings of biased statistical reasoning.
Main Methods:
- Participants evaluated hypothetical individuals making judgments based on group priors.
- Behavioral measures included willingness to share resources and willingness to punish.
- Self-reported judgments of morality and intellect were collected.
Main Results:
- Participants criticized and punished individuals who made Bayesian judgments using group priors.
- However, participants themselves made similar unequal judgments when acting as decision-makers.
- This inconsistency was linked to differential attention to base rates.
Conclusions:
- Individuals exhibit a bias against acknowledging group-based statistical reasoning, perceiving it as unfair.
- Despite this bias, people readily employ such reasoning themselves, highlighting a double standard.
- This suggests a complex interplay where group membership is used strategically, reflecting both statistical acumen and social biases.
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