Survivorship Bias
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Only seeing the 'surviving' successes while ignoring the silent failures, leading to biased conclusions (e.g., WWII returning aircraft only patching bullet holes).
SCAFFOLDING EFFECT
Reduce cognitive load
Survivorship bias, also known as survivorship bias, is a logical fallacy and a type of selection bias. When one over-focuses on 'surviving' people or things, thereby ignoring those that did not survive (possibly because they cannot be observed), erroneous conclusions can be drawn. For example, saying 'old pop songs are better' is an instance, because songs that are still remembered by a certain number of people after five, ten, or even decades are mostly the best songs at the time of release. Therefore, when people say this, they may over-focus on the good songs of the past and ignore those that were not so good and are now forgotten. Similarly, the saying 'each generation is worse than the last' also commits this error, because the speaker may over-focus on the better people of the past or the worse people of the present, while ignoring the worse people of their own generation...
Anchor fast decisions
The absence of failed samples makes the sample no longer random, and conclusions systematically overestimate the success rate.
MINIMUM ACTION
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%80%96%E5%AD%98%E8%80%85%E5%81%8F%E5%B7%AEverified
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