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Simpson's paradox refers to the phenomenon where each subgroup in grouped data shows a correlation in one direction but the combined overall data shows the opposite direction, with the root cause being a confounding variable; handling it in causal inference requires introducing structural causal models or do-calculus.
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9/11/2026
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