Statisticscalendar_todayLast updated: Apr 2026
What is Survivorship Bias?
/səˈvaɪvəʃɪp ˈbaɪəs/
Survivorship bias is the logical error of focusing on entities that "survived" a selection process while overlooking those that did not, leading to false conclusions about what causes success.
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Everyday Example
We hear about entrepreneurs who dropped out of university and became billionaires. We never hear about the thousands who dropped out and never succeeded. This skews our perception of the risk.
publicReal-World Application
“In World War II, the US military nearly armoured the wrong parts of aircraft by studying returning planes. Statistician Abraham Wald noted the planes with no bullet holes in certain areas never returned — those were the places that needed protection.”
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Did you know?
The term was popularised by Nassim Taleb and the WWII story formalised by Abraham Wald in 1943, but the concept appears in ancient philosophy as the "law of large numbers."
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Key Insight
Most success advice is contaminated by survivorship bias. Business books are written by people who succeeded; bankruptcies do not get book deals. The strategies described may have caused as many failures as successes.
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