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    Frequency data from repeated trials constrain rational pr... — Carmelics
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    Challenges→Probability should be understood as nothing other than subjective opinion

    Frequency data from repeated trials constrain rational probability assignments in ways that cannot be reduced to mere subjective preference.

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    1 reason for
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    Reasons For

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    • 1.Long-run frequency patterns exhibit convergence independent of any individual's beliefs, suggesting mind-independent constraints.
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    • 2.Two agents with identical priors but different preferences should converge on the same probability after sufficient data—preference doesn't determine convergence.
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    • 3.Ignoring frequency data while assigning probabilities leads to systematic prediction failures that preference alone cannot explain away.
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    Reasons Against

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    Reason against
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    • 1.Frequency data requires interpretation: which reference class, which stopping rule, which confidence interval? These choices depend on subjective judgment.
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    • 2.Rational agents can legitimately weight old vs. new data differently based on prior beliefs without violating any logical constraint from frequencies.
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    • 3.Frequency convergence describes physical regularities, not normative rationality—physical facts don't automatically constrain what rational belief assignment requires.
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    Related

    Frequency convergence describes physical regularities, not normative rationality...Frequency data requires interpretation: which reference class, which stopping ru...Ignoring frequency data while assigning probabilities leads to systematic predic...Long-run frequency patterns exhibit convergence independent of any individual's ...
    +3 moreShow less
    Probability should be understood as nothing other than subjective opinionRational agents can legitimately weight old vs. new data differently based on pr...Two agents with identical priors but different preferences should converge on th...

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    claim
    Perspectives
    2 (1 for, 1 against)
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