BiasRetrospective evaluation · Cognitive Bias · Entry 111

Outcome Bias – when you judge a decision by its result, not its quality

Electric editorial collage illustrating Outcome Bias

Do you think a decision was good just because it led to a positive outcome? That’s Outcome Bias – the tendency to judge the quality of a decision based on its final result rather than the logic behind it.

Where it can show up


- Finance – an investor takes a reckless bet, wins, and believes it was a ‘smart’ decision, ignoring the risk.
- Medicine – a doctor misdiagnoses a patient, but they recover anyway, making the treatment seem successful.
- Business & career – someone picks a strategy by luck, it works, and they now believe they always make the right calls.

A practical countermeasure


- Evaluate the process, not just the result – good decisions can lead to bad outcomes, and vice versa.
- Understand what really caused success or failure – was it skill, or just luck?
- Be honest with yourself – if a bad decision led to a good outcome, that doesn’t make it a good decision.

Evidence review

replicated

What the evidence supports

Outcome bias occurs when knowledge of a result changes how people evaluate the quality of a decision even when the information available at the time of the decision is held constant. Outcomes can still be relevant for learning, so the error is not 'never look at results'; it is using luck or hindsight as if it had been available to the original decision-maker.

How researchers describe the pattern

The classic experiments varied outcomes while holding the decision information constant and found more favorable evaluations after good outcomes. A large preregistered replication reproduced the direction of the effect in a medical-decision scenario, including among participants who said outcomes should not influence the evaluation.

Practical interpretation

Review the process twice: first judge the decision using only information that was available when it was made, then use the outcome to update models and future assumptions. Keeping these two questions separate helps distinguish decision quality from luck without throwing away useful feedback.

Reviewed sources

  1. Outcome bias in decision evaluation foundational experiments · 1988 · DOI 10.1037/0022-3514.54.4.569
  2. Outcomes Affect Evaluations of Decision Quality: Replication and Extensions of Baron and Hershey's (1988) Outcome Bias Experiment 1 preregistered replication · 2023 · DOI 10.5334/irsp.751

Editorial review: 2026-08-18. Evidence status describes this entry, not every study ever published on the topic.

Evidence-linked concepts

Nearby ideas, with the relationship made explicit.

These links are reviewed separately from the original library’s related-entry suggestions. A relation means the concepts overlap or are often confused; it does not mean they are interchangeable.