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Survivorship bias

🧠 Psychology By CampusDown Wiki Editorial Team Last updated
Survivorship bias is drawing conclusions from cases that survived a selection process while overlooking those that failed and disappeared.
Contents
  1. 1. Overview
  2. 2. Frequently asked questions
  3. 3. References

Overview

A form of selection bias. In WWII, Abraham Wald (Statistical Research Group, Columbia) argued that armour should go where returning bombers had *no* hits, since planes hit there did not return. Other examples: fund performance excluding closed funds, dropout success stories, “old things were built better”. Ask what is missing from the data. See availability heuristic.

Frequently asked questions

How is it different from confirmation bias?
It stems from filtered data, not selective seeking.

References

  1. Mangel, M., & Samaniego, F. J. (1984). Abraham Wald’s work on aircraft survivability. Journal of the American Statistical Association, 79(386), 259–267.
  2. Brown, S. J., Goetzmann, W., Ibbotson, R. G., & Ross, S. A. (1992). Survivorship bias in performance studies. Review of Financial Studies, 5(4), 553–580.

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This article was last updated on October 24, 2026. It is based on widely recognized original works and textbooks; when citing it in a paper, please check the original sources listed in the references.