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    Home/Original/inverse
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    Inverse View

    It is not the case that A generalized correlation coefficient conflates statistical association with the genealogical causation required to explain why gene frequencies change across generations.

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    Reasons For

    1 perspective
    Reason for
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    • 1.Correlation coefficients in population genetics are often derived from explicit generative models (Hardy-Weinberg, diffusion equations) that already encode genealogical mechanisms.
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    • 2.The claim assumes correlation and causation are distinct categories, but in well-specified statistical models, correlation structure directly reflects causal architecture of inheritance.
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    • 3.Empirical validation of correlation-based methods against known pedigrees and simulations shows they reliably track genealogical causation despite not explicitly modeling individual lineages.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.Correlation coefficients measure association strength but say nothing about mechanism, direction, or whether change is due to selection, drift, or migration.
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    • 2.Genealogical causation requires tracking allele transmission through pedigrees; statistical correlation alone cannot distinguish inherited from environmentally-induced frequency changes.
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    • 3.Confounding variables (population structure, assortative mating, linkage) can produce correlations mimicking causal evolutionary processes without explaining actual gene flow.
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