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Overall conversion went down but improved in every country. How is that possible?

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Answer

  • The traffic mix changed.
  • Simpson's paradox appears when the groups have different baseline rates and their relative share shifts, so an aggregate can move opposite to every subgroup.
  • Concretely, if a low-converting country grew as a fraction of traffic, the overall rate falls even though each country improved.
  • This is why aggregate metrics over a heterogeneous population are unreliable when composition is not held fixed, which happens constantly with marketing campaigns and regional launches.
  • The remedy is to compare like with like: stratify by the confounding variable and report a weighted average using a fixed reference composition, or model the outcome with the segment included.
  • In a randomized experiment this cannot happen by chance across arms, so if it does, suspect a broken assignment or differential logging.
Check yourself — multiple choice
  • It indicates a data error
  • Simpson's paradox from a shift in traffic composition across groups with different baselines — stratify and reweight to a fixed reference mix, and in a randomized test suspect broken assignment
  • It is impossible
  • The subgroup results must be wrong

Changing group shares with differing baselines can reverse the aggregate; fix the composition to compare fairly.

#causal-inference#descriptive

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