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    Carmelics

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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 If a reasoner has grounds to believe the sampling procedure preferentially draws certain individuals, the proportional syllogism should not be applied

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

    Reasons For

    2 perspectives
    Reason for 1 of 2
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    • 1.Biased sampling conditions can themselves be probabilistically characterized and incorporated into revised reference classes rather than suspending inference entirely.
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    • 2.Reichenbach's frequency interpretation allows nested reference classes to be weighted, so bias adjusts the probability rather than invalidating the syllogism's application.
      ?

      Think about whether this reason is strong or weak

    • 3.Suspending proportional reasoning under bias conflates imprecision in reference class selection with a logical defect in the inferential form itself.
      ?

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    Reason for 2 of 2
    ?
    • 1.Keynes and Carnap's logical probability frameworks hold that all available evidence, including bias conditions, should be conjoined into a single posterior probability rather than triggering inference suspension.
      ?

      Think about whether this reason is strong or weak

    • 2.Refusing to apply probabilistic reasoning when sampling imperfections are known leads to epistemic paralysis, since no real-world sampling procedure is perfectly unbiased.
      ?

      Think about whether this reason is strong or weak

    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Knowing one is in a location where a certain type is over-represented gives reason to believe the sample is not representative
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    • 2.The proportional syllogism assumes no systematic bias in how individuals are selected
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