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May 1, 1988Journal of Applied Psychology354 citations

Eliminating the hindsight bias.

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HAHal R. ArkesDFDavid FaustTGThomas J. Guilmette

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Abstract

Those who consider the likelihood of an event after it has occurred exaggerate their likelihood of having been able to predict that event in advance. We attempted to eliminate this hindsight bias among 194 neuropsychologists. Foresight subjects read a case history and were asked to estimate the probability of three different diagnoses. Subjects in each of the three hindsight groups were told that one of the three diagnoses was correct and were asked to state what probability they would have assigned to each diagnosis if they were making the original diagnosis. Foresight-reasons and hindsight-reasons subjects performed the same task as their foresight and hindsight counterparts, except they had to list one reason why each of the possible diagnoses might be correct. The frequency of subjects succumbing to the hindsight bias was lower in the hindsight-reasons groups than in the hindsight groups not asked to list reasons, x!( 1, N = 140) = 4.12, p < .05.

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Cite This Study

Arkes et al. (1988) studied this question.

synapsesocial.com/papers/69d7f3b366a29169b4bed95dhttps://doi.org/10.1037/0021-9010.73.2.305
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hindsight bias among physicians weighing the likelihood of diagnoses.1981 · 333 citations
  2. 2Hindsight Distortion and the 1980 Presidential Election1982 · 151 citations
  3. 3Hindsight Bias: An Impediment to Accurate Probability Estimation in Clinicopathologic Conferences1988 · 87 citations
  4. 4For Those Condemned to Study the Past: Reflections on Historical Judgment1980 · 61 citations
  5. 5Hindsight-foresight: The effect of outcome knowledge on judgment under uncertainty.1974 · 814 citations