Survivorship bias is a logical error that occurs when an analysis focuses only on the subjects that have passed a selection process, overlooking those that did not. This bias can lead to overly optimistic beliefs because it ignores failures and can skew data interpretation, particularly in business insights where performance metrics are analyzed without considering all relevant entities.
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