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    The ur-probability approach requires assigning probabilit... — Carmelics
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    Challenges→The ur-probability solution to the fine-tuning argument successfully evades the anthropic objection

    The ur-probability approach requires assigning probabilities to hypotheses before any self-locating beliefs, but Elga and Lewis show self-location cannot be cleanly separated from ordinary belief.

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    Key Terms

    Elga(philosophy of probability and self-location)
    Adam Elga, a contemporary philosopher who studies how we should update our beliefs when we learn facts about ourselves (like what time it is or where we are).
    Hypotheses(as used in science and reasoning)
    Educated guesses or proposed explanations that can be tested to see if they're true or false.
    Lewis(philosopher who created the similarity metric being discussed)
    David Lewis was a famous American philosopher who developed influential theories about possible worlds—alternative ways reality could have been.
    Self-locating beliefs(as the main subject of the statement)
    Beliefs about where or when you are in the world, or facts about yourself specifically—like knowing it's Tuesday, or that you're the person reading this right now.

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    ur-probability(Epistemology of fine-tuning arguments for design)
    A prior probability assigned under a constrained background evidence set that excludes facts entailing the existence of life, used as a solution to the problem of old evidence in fine-tuning arguments

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    Natural Theology1 linked

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