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Accuracy in social judgment does not exclude the potential for bias.

Jonathan B Freeman1, Kerri L Johnson2, Steven J Stroessner2

  • 1Department of Psychology, Columbia University, New York, NY 10027, USA. jon.freeman@columbia.edu.

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Summary

Bias research shows that even accurate information can be biased. This study challenges the assumption that accuracy eliminates bias, demonstrating its presence even with probabilistically accurate data.

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Area of Science:

  • Cognitive Psychology
  • Social Psychology
  • Behavioral Economics

Background:

  • Bias research often assumes accuracy negates bias.
  • Cesario's work suggests learned information, if accurate, is used without bias.

Purpose of the Study:

  • To challenge Cesario's assumptions on accuracy and bias.
  • To demonstrate that bias persists even with probabilistically accurate information.

Main Methods:

  • Statistical simulations were employed.
  • Empirical research was conducted.

Main Results:

  • Even probabilistically accurate responses were found to be biased.
  • Cesario's assumptions regarding accuracy and bias were shown to be flawed.

Conclusions:

  • Accuracy does not preclude bias.
  • Bias is a persistent factor in information processing, irrespective of probabilistic accuracy.