How Simpson’s Paradox Could Impact A/B Tests
Published in
5 min readSep 7, 2020
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Simpson’s paradox occurs when we observe a certain trend in the aggregate data but not in the underlying segments that comprise the data. In the A/B testing domain, Simpson’s Paradox can occur when the overall mean conversion rate and/ or average order value of the experiences tested point to a result different from the mean conversion rates and/ or average order value of the underlying segments.