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by TTPrograms
2067 days ago
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For a post on a blog presumably focused on statistics the author seems oddly concerned with a model that predicts odd events as being "possible". The difference between "possible" and "impossible" is \eps << 1 - there's no real distinction to be made there in practical statistical terms. Likewise asserting that California with a 3% chance of going Trump is absurd is an unreasonable degree of overconfidence. Assuming maximizing expected return, the author is implying that they would be willing to take a bet that Trump would lose California with odds >> 97::3, i.e. presumably they would take a bet where I bet $1 to every $99 they bet. To be critical of a model based on outcomes it predicts with tiny probability you need truly remarkably biased priors. |
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