Mysteries of broken A/B tests and statistical significance with rare events
Jason Cohen
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Mysteries of Broken A/B Tests and Statistical Significance with Rare Events reveals how common mistakes in A/B testing, like misinterpreting statistical significance and false positives, can lead to misleading conclusions, emphasizing the need for precise testing methods to make reliable business decisions.
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Best quote from Mysteries of broken A/B tests and statistical significance with rare events
If you're trying to measure a tiny effect or a rare event, you need a test that's far more accurate than you might think. Otherwise, the error will swamp the signal, and all you're looking at is noise.
—Jason Cohen

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