Survivorship Bias: Why the Data You Can See Is Already Filtered
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Imagine judging how safe a sport is by interviewing only the people at the finish line. Everyone you talk to is fine, so you conclude the sport is harmless — never noticing that the people who got hurt are not in the room to be counted. That is survivorship bias : drawing conclusions from a sample that has already been filtered down to the winners. The Planes That Came Back In WWII, analysts studied bullet holes on returning bombers and wanted to add armor where the holes clustered. The…
1Key Takeaways
- Imagine judging how safe a sport is by interviewing only the people at the finish line.
- Everyone you talk to is fine, so you conclude the sport is harmless — never noticing that the people who got hurt are not in the room to be counted.
- That is survivorship bias : drawing conclusions from a sample that has already been filtered down to the winners.
- The Planes That Came Back In WWII, analysts studied bullet holes on returning bombers and wanted to add armor where the holes clustered.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that imagine judging how safe a sport is by interviewing only the people at the finish line.
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