8 min readCausal Inference
The Treatment That Helps Everyone and Harms the Average
A treatment that raises recovery by exactly five points in every subgroup while appearing to lower it overall, why more data makes that conclusion more confident rather than more correct, what randomisation buys that adjustment cannot, and the case where controlling for a variable manufactures an association from nothing.
StatisticsMachine Learning