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    Keynes and Carnap's logical probability frameworks hold t... — Carmelics
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    Challenges→If a reasoner has grounds to believe the sampling procedure preferentially draws certain individuals, the proportional syllogism should not be applied

    Keynes and Carnap's logical probability frameworks hold that all available evidence, including bias conditions, should be conjoined into a single posterior probability rather than triggering inference suspension.

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    Key Terms

    Bias conditions(as elements to be included when calculating probability)
    Factors or circumstances that might make evidence seem more or less convincing, even if those factors shouldn't actually change what the evidence means.
    Carnap
    Rudolf Carnap (1891-1970) was a highly influential German-American philosopher who believed that many traditional philosophical problems could be solved by carefully analyzing the language we use to talk about them. He pioneered the idea that philosophy should work closely with science and mathematics, using precise logical methods to clarify confused thinking. His work fundamentally changed how philosophers approach their discipline, making language analysis and logical rigor central to philosophical practice.
    Inference suspension(as an alternative to making a definite judgment)
    Choosing to pause or hold off on making a conclusion about something when you don't feel confident enough in the available evidence.
    Keynes(as a philosopher of probability and evidence)

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    John Maynard Keynes was a 20th-century British philosopher and economist who developed ideas about how we should measure and think about probability based on the evidence we have available.
    Posterior probability(In the low priors argument, theism's posterior probability remains very low because evidence is absent or ambiguous)
    The all-things-considered probability of a hypothesis after evidence has been factored in
    conjoined(as used in logic)
    Combined or connected together, usually referring to two ideas or statements being joined as a unit.
    logical probability(The second logical relation examined, particularly relevant for empirical judgments)
    A degree of probability greater than 1/2 that a conclusion s has relative to a set of premises σ

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