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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 Stein's utilitarian argument for a strict disability-welfare correlation is flawed on its own utilitarian terms.

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

    Reasons For

    1 perspective
    Reason for
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    • 1.If welfare is a subjective notion, there is no reason to assume a strict correlation between health status and welfare deficit.
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    • 2.For a utilitarian consequentialist, there is no a priori reason to think a person without a disability always experiences less welfare benefit than a person with a disability.
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    • 3.Domains other than health also impact welfare, undermining any health-centric welfare ranking.
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    Reasons Against

    2 perspectives
    Reason against 1 of 2
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    • 1.Utilitarian welfare calculus requires empirical measurement, and hedonic adaptation research (Kahneman, Diener) shows disabled individuals report welfare levels comparable to non-disabled peers.
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    • 2.A utilitarian framework that ignores actual reported welfare in favor of assumed welfare deficits substitutes aprioristic bias for the empirical sensitivity consequentialism demands.
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    • 3.Stein's argument therefore violates the utilitarian commitment to taking preferences and experiences as given rather than overriding them with external rankings.
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    Reason against 2 of 2
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    • 1.Sen's capability approach, itself rooted in welfare-consequentialist concerns, demonstrates that welfare is multidimensional and cannot be reduced to a single health-indexed metric.
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    • 2.If utilitarian aggregation must track actual welfare gains across all dimensions (Sen 1980, 'Equality of What?'), then health improvements yield diminishing marginal welfare returns when other capability dimensions are already compromised.
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    • 3.Stein's strict disability-welfare correlation thus misapplies utilitarian maximization by treating health status as a proxy for total welfare, collapsing a multidimensional function into a single variable.
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