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Long-term holdout — what and why?

hard

Answer

  • 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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