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How not to run an A/B test

evanmiller.org

2 points by arjunnvl 3 years ago · 1 comment

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injb 3 years ago

If I understand correctly, the issue is when you track the effect as a rolling value and stop the test as soon as it dips above the significance level.

So for instance, let's say your test is to roll a dice 6 times. You say "if I get 6 100% of the time, then I'll consider that significant". You do the first roll and get a 6. Well that's 100% of the time, so you end the test and claim you had a significant result.

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