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    Applying measure-theoretic results about uncountable prob... — Carmelics
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    Challenges→If there are uncountably many times at which one implements a mixed strategy with non-zero probability of wagering for God, then with probability 1 one ends up wagering for God at one of those times.

    Applying measure-theoretic results about uncountable probability spaces to discrete rational agency commits a category error between mathematical idealization and normative decision theory.

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    Key Terms

    Category error(as used in logic and philosophy of language)
    A logical mistake where you apply a rule or concept to something it doesn't actually fit, like using a math formula on a poem.
    Discrete rational agency(as used in decision theory and philosophy of action)
    The study of how people or agents make logical decisions when choosing from a limited, clearly separated set of options (like picking between a few specific actions).
    Mathematical idealization(in philosophy of mathematics and science)
    A simplified version of something created for theoretical purposes that ignores messy real-world details to focus on core concepts.
    Measure-theoretic(as used in probability and mathematics)
    Relating to a mathematical system for assigning sizes or probabilities to sets of things, even when there are infinitely many possibilities.

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    Normative decision theory(as used in ethics and philosophy of action)
    The philosophical study of how people *should* make decisions based on reason and logic, as opposed to how they actually do make them.
    Uncountable probability spaces(as used in probability theory)
    A mathematical setup for calculating probabilities that involves infinitely many possible outcomes so numerous they can't be listed one-by-one (like all possible real numbers between 0 and 1).

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    Modality & Possibility1 linkedNatural Theology1 linked

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    If there are uncountably many times at which one implements a mixed strategy wit...

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