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Overconfident individuals experience less surprise when correct but more surprise when incorrect. This pattern, however, does not apply to confidence-interval measures, potentially explaining persistent overprecision in judgment.

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Area of Science:

  • Psychology
  • Cognitive Science
  • Behavioral Economics

Background:

  • Overconfidence bias is a well-documented phenomenon in human judgment.
  • Understanding the psychological mechanisms behind overprecision is crucial for improving decision-making.
  • The relationship between confidence and surprise has been theorized but not extensively empirically tested.

Purpose of the Study:

  • To investigate the relationship between confidence and surprise following accuracy feedback.
  • To explore whether this relationship differs for correct versus incorrect judgments.
  • To determine if different measures of confidence impact the observed confidence-surprise relationship.

Main Methods:

  • Three studies were conducted involving participants reporting their confidence in beliefs before receiving feedback.
  • Participants subsequently reported their level of surprise after learning the accuracy of their beliefs.
  • Confidence was measured using various scales, including confidence intervals.

Main Results:

  • Higher initial confidence was associated with less surprise for correct answers.
  • This association reversed for incorrect answers, with higher confidence leading to greater surprise.
  • The observed pattern between confidence and surprise was absent when using confidence-interval measures.

Conclusions:

  • The findings suggest that individuals may not be as surprised by their errors as overconfidence theory would predict.
  • The failure of confidence-interval measures to show this pattern may explain the enduring nature of overprecision.
  • This research provides insights into the psychological underpinnings of judgment accuracy and self-assessment.