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    Home/Original/inverse
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    Inverse View

    It is not the case that Probabilistic causation requires that causes raise the probability of effects, a relation that counterfactual necessity cannot capture without modification.

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    Reasons For

    1 perspective
    Reason for
    ?
    • 1.Counterfactuals can be modified to accommodate probabilistic causation through graded or modal strength, making rejection of the framework premature.
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    • 2.Probability-raising alone permits spurious correlations and common causes to count as causal, lacking counterfactuals' discrimination power.
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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Counterfactual approaches require the effect wouldn't occur absent the cause, but probabilistic causes can increase likelihood without guaranteeing effects.
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    • 2.Many genuine causal relations in medicine and social science involve statistical dependencies rather than deterministic necessity.
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    • 3.A cause raising probability captures explanatory relevance that counterfactual necessity misses in stochastic systems.
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