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    Carmelics

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    LoyalLoyalJusticeJustice
    Made withinDC&Austin
    Statements
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    Perspectives
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    Home/Original/inverse
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    Inverse View

    It is not the case that An explanation that can accommodate any data provides no genuine rational traction over rivals and cannot count as 'most rational' in any rigorous Bayesian or abductive framework.

    ?Set your confidence on the premises below to see your aggregate.

    Reasons For

    1 perspective
    Reason for
    ?
    • 1.Some explanatory frameworks (e.g., evolutionary theory) accommodate broad data classes yet possess genuine predictive power through mechanistic constraints.
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    • 2.Rationality requires comparing theories on multiple criteria beyond accommodation: explanatory depth, unification, and instrumental success matter independently.
      ?

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    • 3.The claim conflates logical accommodation with actual explanatory content; theories can fit data while providing substantive causal mechanisms and scope limitations.
      ?

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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Bayesian confirmation requires theories to assign higher probability to observed data than rivals; unfalsifiable theories assign equal probability to all outcomes.
      ?

      Think about whether this reason is strong or weak

    • 2.Post-hoc explanatory flexibility increases degrees of freedom without predictive gain, violating parsimony principles central to abductive reasoning.
      ?

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    • 3.Empirical underdetermination is epistemically problematic only when theories are equally accommodating; discriminative power requires differential predictions.
      ?

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