During World War II, the US Army assigned statistician Abraham Wald to the task of statistically figuring out where extra armor should be added to American bombers.

After analyzing the evidence and sharing it with the army he recommended the exact opposite

of what the army assumed the reason was that the army had engaged in a logical

fallacy learn more about survivorship bias and how it manifests itself into everyday thinking

on this episode of Everything Everywhere Daily. This episode is sponsored by Scotty Vest.

This episode is sponsored by Scotty Vest.

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Let's start this discussion with the definition of survivor bias. The simple

definition is that it's considered a logical fallacy or statistical error or a

cognitive shortcut where you don't look at an entire population when making an inference because some part of the population didn't meet certain criteria.

The classic example which illustrates the point is the example that I mentioned in the introduction. In World War II, the Army Air Corps the

point is the example that I mentioned in the introduction.

In World War II, the Army Air Corps wanted to provide additional armor to their bombers that were flying missions over Germany.

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