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Chance neglect in performance judgments.

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People often ignore chance information when evaluating performance, leading to misjudgments of technological efficacy. This "chance neglect" bias, observed in China and the US, can perpetuate the use of ineffective technologies.

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Area of Science:

  • Cognitive psychology
  • Decision science
  • Sociology of technology

Background:

  • Humans frequently misinterpret or disregard chance information when assessing performance.
  • This cognitive bias impacts judgments about the effectiveness of various practices, particularly technological ones.

Purpose of the Study:

  • To investigate the systematic misperception or neglect of chance information in performance evaluations.
  • To examine how individuals use or fail to use chance-level success rates as a baseline for judging technological efficacy.

Main Methods:

  • Conducted studies with diverse samples in China and the United States (N=1387).
  • Utilized scenarios with objectively known chance performance rates (e.g., ~50% for fetal sex prediction).
  • Analyzed participant underestimation of random guessing success and failure to use chance as a baseline.

Main Results:

  • Many participants underestimated the success rate of random guessing.
  • Even when aware of chance levels, participants often failed to use this information as a baseline for evaluating expert predictions.
  • Chance neglect was more pronounced in performance-related judgments.

Conclusions:

  • A significant cognitive bias, termed 'chance neglect,' systematically affects performance evaluations.
  • This bias contributes to the underestimation of random performance and the overestimation of specific practices.
  • Chance neglect may explain the persistence of ineffective technologies across different societies.