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  1. Jul 2023
    1. Abraham Wald
      • example
        • survivorship bias
          • Abraham Wald was a statistican who was tasked by the Allied war effort with understanding how to make the Allied war planes function better.
          • And he was presented with a series of airplanes that had bullet holes throughout them as they had gone from bombing runs over Nazi Germany.
          • And he looked at them, and he saw that there were
            • holes in the wings,
            • holes in the tail,
            • holes in the nose of the plane.
          • And the general said to him, you know, "Based on your statistical expertise, where should we put extra armor?
          • Where should we reinforce the plane?"
          • And most of the people thought they should put them where the bullet holes were.
          • Abraham Wald took one look at this, and he said, "If you put armor over the places where the holes are,
            • you're going to make the planes get shot down more."
          • Because the reality was the places that didn't have bullet holes were the most crucial.
          • The places that had been shot in
            • the fuselage,
            • the middle of the plane where the engine was,
          • those were in Germany, they didn't survive,
            • they were wrecks.
          • So they never made it back to be analyzed.
          • So survivorship bias is a bias where we look at the wrong kinds of data because we only look at what survived.