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Case file

Survivorship Bias

Filed under
Not Enough Meaning

The charge

Survivorship bias is drawing lessons from the cases that remain visible while missing the failures that disappeared from view.


How it operates

Winners are easier to observe, remember, and imitate than losers, so the sample gets badly distorted.

Logged incidents

  1. Incident 01

    Founders copy unicorn habits while ignoring dead startups with the same habits.

  2. Incident 02

    An investor studies only top-performing funds when evaluating a strategy.

  3. Incident 03

    HR analyzes retained high performers but not people who quietly quit or left.

What to watch for

Ask: Who is missing from this sample, and how would their data change the story?

Recommended action

Do a denominator check and a missing-data audit before inferring lessons.

Known associates

Source of record

en.wikipedia.org

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