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Why should an A/B test not be stopped as soon as it shows a significant result?

  1. A Peeking and stopping early produces false positives at a much higher rate than the stated threshold
  2. B It is against platform rules
  3. C It costs more
  4. D The data is deleted
Answer

Peeking and stopping early produces false positives at a much higher rate than the stated threshold

Sample size should be calculated in advance from the baseline rate and the effect size worth detecting.

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