I was interviewed for the Analytics Power Hour podcast.
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Trustworthy A/B Patterns and the Winner’s Curse: Lessons from Eight Large-Scale Replications Permalink
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Abstract: Claims of large lifts in A/B tests are widespread, yet many are only supported by small online experiments that are likely underpowered. Trustworth...
Better safe than significant
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When something goes horribly wrong mid-experiment, should you stick to the plan or stop the test? A story about two statisticians, and possibly a bear.
The boy who cried type-I and type-II errors
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Practitioners learn the definitions of type-I and type-II errors and then promptly confuse them. Here is a story that might help.
Power Analysis is Essential: High-Powered Tests Suggest Minimal to No Effect of Rounded Shapes on Click-Through Rates Permalink
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Abstract: Underpowered studies (below 50% power) suffer from the winner’s curse: A statistically significant positive estimate must exaggerate the true treat...
