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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 It is not necessary to know that a sample is randomly drawn in order to apply the proportional syllogism

    ?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.Without knowledge that sampling is random, we cannot distinguish genuine probability from mere ignorance of systematic bias.
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    • 2.Reichenbach's frequency theory requires that reference classes be defined by causally homogeneous selection processes, not mere absence of known bias.
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    • 3.Applying proportional syllogism under unknown selection mechanisms conflates epistemic and objective probability, undermining the inference's justification.
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    Reason for 2 of 2
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    • 1.Keynes argued in A Treatise on Probability that rational credence requires positive warrant for equiprobability assumptions, not merely the absence of disconfirming evidence.
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    • 2.The principle of indifference, which grounds inference from ignorance of bias to equal weighting, generates contradictions when applied across different descriptions of the same situation.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.In the absence of reasons to believe the sampling procedure favors certain individuals over others, it is rational to apply the proportional syllogism
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    • 2.The conclusion of the proportional syllogism is only probable, not certain, which accounts for the possibility of drawing an unrepresentative sample
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