Freedman's paradox is a concept in statistics and economics that highlights a seemingly counterintuitive result related to the correlation between two variables that are influenced by a third variable. Specifically, it often relates to the issue of marginal vs. conditional relationships. The paradox demonstrates that when examining the relationship between two variables (let's call them A and B), the inclusion of a third variable (C), which is correlated with both A and B, can significantly alter the observed relationship between A and B.

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