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

    It is not the case that The HD approach derives its normative force from the necessity of deductive consequence, and replacing entailment with stipulated likelihoods dissolves rather than extends that force, yielding a different epistemic framework, not a generalization of it.

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    Reasons For

    1 perspective
    Reason for
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    • 1.Deductive entailment itself cannot ground normativity without prior normative commitment to valuing logical consistency—the 'is-ought' problem.
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    • 2.Bayesian frameworks generalize HD by recovering deductive relationships as limiting cases where likelihoods approach 0 or 1, preserving its power.
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    • 3.Real scientific inference requires handling uncertainty; restricting normativity to deductive certainty leaves most actual justification frameworks unjustified.
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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Deductive necessity provides objective, universal normative force independent of observer preferences or stipulated parameters.
      ?

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    • 2.Probabilistic frameworks require prior specification of likelihoods, making normativity conditional on arbitrary choices rather than logical.
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    • 3.A genuine generalization preserves core properties of the original; replacing necessity with contingency fundamentally alters the epistemic structure.
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