From the Titelbaum book on Bayesian epistemology I have mentioned here before. There is a nice explanation in a footnote near the end about "observation selection bias" as a ubiquitous problem in statistics and, really, in the understanding of probability. The explanation is illustrated with a World War II throwback. US War Department statisticians observed in 1943 that bombers returning to London from their flights over occupied Europe generally had more bullet holes in their fuselage than in their engine. Somebody drew the conclusion that the German fire tended to hit the fuselage, and that there should be extra plating there. Such a reinforcement of the fuselage was not a decision to be taken lightly. Reinforcement adds weight. Heavier aircraft are less maneuverable, have a lesser range, etc. So Abraham Wald, a Hungarian Jew known before the war for econometrics research, who at this point was working at Columbia with the Statistical Research Group, cons...