What is the difference between survivorship bias and generalization of specific cases?
Survivorship bias involves drawing conclusions from a sample that only includes successful instances, ignoring those that failed, while generalization of specific cases constructs broad rules from non-representative examples. The former has real correlations but a flawed sample frame, whereas the latter often assigns causal weight to correlations that don't exist.
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