No interpretation of probability
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Many scientific theories involve probabilities. What would the world
have to be like for such a theory to be true? I argue that none of the
usual interpretations of probability provides a plausible answer.
Instead, I suggest that we should not give probabilistic theories
truth-conditional content at all. The aim of such theories is not to
register facts about a special probabilistic quantity, but to capture
noisy patterns in the world. I also explore some ramifications of this
view for our knowledge of probabilities.
This talk is part of the CamPoS (Cambridge Philosophy of Science) seminar series.
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