StatisticsHigh Confidence

Survivorship Bias and Selection Effects

Why 'best-practice' derived from visible winners hides the conditioning that produced them.

Decisions learned from visible successes fail to account for invisible failures. Wald's missing-bullet-hole analysis at WWII is the canonical case. The LHS Lens treats survivorship bias as the conditioning-of-produced-evidence: the visible set encodes the conditioning that produced visibility. The discipline is to ask which failures you cannot see.

survivorship biasselection on the dependent variablewinner's cursemissing-data distortion

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