Exploring the "planning fallacy": Why people underestimate their task completion times.

Roger Buehler, Dale W. Griffin, Michael G Ross·1994·Journal of Personality and Social Psychology

Abstract

This study tested 3 main hypotheses concerning people's predictions of task completion times: (a) People underestimate their own but not others' completion times, (b) people focus on plan-based scenarios rather than on relevant past experiences while generating their predictions, and (c) people's attributions diminish the relevance of past experiences. Results supported each hypothesis. Ss' predictions of their completion times were too optimistic for a variety of academic and nonacademic tasks. Think-aloud procedures revealed that Ss focused primarily on future scenarios when predicting their completion times. In Study 4, the optimistic bias was eliminated for Ss instructed to connect relevant past experiences with their predictions. In Studies 3 and 4, Ss attributed their past prediction failures to relatively external, transient, and specific factors. In Study 5, observer Ss overestimated others' completion times and made greater use of relevant past experiences.

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Cited by (42)

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  2. Temporal construal.
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  3. The trouble with overconfidence.
    Moore, Don A., Healy, Paul J. · 2008 · Psychological Review
  4. The Affect Heuristic
    Slovic, Paul, Finucane, Melissa, Peters, Ellen, MacGregor, Donald G. · 2002 · Heuristics and Biases
  5. The Intention–Behavior Gap
    Sheeran, Paschal, Webb, Thomas L. · 2016 · Social and Personality Psychology Compass

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Exploring the "planning fallacy": Why people underestimate their task completion times. https://app.cochat.ai/papers/10.1037//0022-3514.67.3.366
The paper
Buehler, R., Griffin, D. W., & Ross, M. G. (1994). Exploring the "planning fallacy": Why people underestimate their task completion times. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.67.3.366

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.