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    Many scientific hypotheses successfully assign determinat... — Carmelics
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    Challenges→For a hypothesis to assign a determinate probability r to an outcome, it must already presuppose a well-defined probability space, yet specifying that space typically requires background commitments that are themselves empirically contentious.

    Many scientific hypotheses successfully assign determinate probabilities using standard spaces (normal distributions, Poisson processes) without resolving deeper metaphysical disputes.

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    Key Terms

    Determinate probabilities(as used in probability theory)
    Specific, precise chances or odds that something will happen—like saying there's exactly a 30% probability rather than just 'probably' or 'maybe.'
    Metaphysical disputes(describing arguments about the nature of laws)
    Disagreements about what really exists or what the fundamental nature of reality is—questions that can't be settled just by looking at evidence.
    Normal distribution(as used in statistics)
    A bell-shaped curve that shows how data is spread out; it describes natural patterns like human heights where most values cluster in the middle.
    Poisson process(as used in statistics and probability)
    A mathematical model used to describe random events that happen at a steady average rate over time, like cars arriving at a toll booth.

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    Scientific hypothesis(as used in philosophy of science)
    An educated guess or proposed explanation that scientists test through experiments to see if it's true or false.
    metaphysics(Hartshorne's naturalistic redefinition of metaphysics)
    On Hartshorne's view, the study not of realities beyond the physical, but of features of reality that are ubiquitous or that would exist in any possible world.

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