Long-term holdout — what and why?
hardAnswer
- Reserve 1-10% of users as permanent control who never receive new model / experiment.
- Measure long-term effects of everything shipped combined.
- Detect novelty / primacy effects, learned tolerances, and cumulative regressions that individual A/B tests miss.
- Standard at Google / Facebook / Netflix.
- Rotate holdout every 6-12 months.
- Small ongoing revenue cost, large diagnostic benefit.
Check yourself — multiple choice
- Random
- Reserve 1-10% users as permanent control (never receive experiments); measure long-term cumulative effects + novelty/primacy + tolerance; Google/FB/Netflix; rotate every 6-12 months
- Same as test
- Not real
Long-term holdout: permanent control; measure cumulative + novelty effects.
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