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Related Experiment Video

Updated: Oct 21, 2025

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Do People Prescribe Optimism, Overoptimism, or Neither?

Jane E Miller1, Inkyung Park1, Andrew R Smith2

  • 1Department of Psychological and Brain Sciences, University of Iowa.

Psychological Science
|September 2, 2021
PubMed
Summary
This summary is machine-generated.

People generally prefer optimism over accuracy for uncertain events. However, this study found that when asked directly about bias, individuals do not prescribe overestimating event likelihoods, challenging prior findings on optimism prescription.

Keywords:
accuracybiasestimationforecastingjudgmentsopen dataopen materialsoptimismpredictionpreregistered

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Area of Science:

  • Cognitive Psychology
  • Decision Making
  • Social Psychology

Background:

  • Previous research suggests people favor optimism over accuracy when anticipating uncertain future events.
  • An ambiguity exists regarding whether these findings reflect a genuine endorsement of biased beliefs or overoptimism in likelihood estimations.

Purpose of the Study:

  • To investigate whether people prescribe biased beliefs, specifically overoptimism, in likelihood estimations for uncertain future events.
  • To clarify the nature of optimism prescription by examining different questioning methods.

Main Methods:

  • Three studies were conducted with 663 U.S. university students.
  • Participants evaluated scenarios involving protagonists facing uncertain events with desired outcomes.
  • Different solicitations were used to assess optimism prescription, including those probing for bias and avoiding vague terms.

Main Results:

  • Prescriptions of optimism were replicated using traditional questioning methods.
  • Alternative methods, which questioned potential bias and avoided vague terms, yielded different results.
  • Participants endorsed optimistic feelings and thinking but did not prescribe overestimating event likelihoods.

Conclusions:

  • The findings suggest that while people generally favor optimistic outlooks, they do not necessarily prescribe biased overestimation of probabilities.
  • The way questions are phrased significantly influences the perception and prescription of optimism.
  • Clarifying the ambiguity around optimism prescription is crucial for understanding decision-making under uncertainty.