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    Made withinDC&Austin
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    Home/Original/inverse
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    Inverse View

    It is not the case that Selecting which hypotheses to include in a likelihood ratio comparison is not itself licensed by likelihoods alone, requiring a prior probability-like commitment.

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

    Reasons For

    1 perspective
    Reason for
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    • 1.Hypothesis selection can be grounded in domain-specific empirical constraints and parsimony principles, not requiring subjective prior commitments.
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    • 2.The demarcation between 'selecting hypotheses' and 'assigning likelihoods' is arbitrary; both are continuous acts of model specification, not fundamentally different.
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    • 3.If likelihoods alone require priors for hypothesis selection, priors themselves face the same regress problem—no position avoids circular justification.
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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Likelihood ratios only compare hypotheses already in the set; they cannot justify why those specific hypotheses deserve comparison over alternatives.
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    • 2.The problem of auxiliary hypotheses shows that model selection requires background assumptions about which confounders and variables matter—inherently prior-like.
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    • 3.Without prior constraints on hypothesis space, likelihood ratios would equally support infinitely many unfalsifiable hypotheses, making inference incoherent.
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