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Nov 6, 2022 at 12:42 comment added kjetil b halvorsen I think my answer here is relevant: Can we think of a probability in both the classical and subjective sense simultaneously?
Dec 14, 2016 at 16:55 comment added Aksakal For practical purposes the statement means that the forecaster believes that Hillary's going to win strongly. The actual number 75% has no practical statistical meaning. They build a model to predict an event that will only happen once. So the probabilities are nonsense.
Aug 1, 2016 at 0:54 comment added icc97 Nate Silver does a very good comparison to the 'feeling' of the 80% chance that you'll win a hand at poker youtu.be/mYIgSq-ZWE0?t=8m1s
Jul 27, 2016 at 2:18 comment added Maja Piechotka @VinceO'Sullivan with frequentionist approach you're right. But in subjective, propensity or classical approach you can (though classical approach would be hard to apply).
Jul 26, 2016 at 0:00 comment added Chloe See Methodology section: electionbettingodds.com/about.html
Jul 25, 2016 at 23:36 history edited Kodiologist CC BY-SA 3.0
edited tags; edited title
Jul 25, 2016 at 23:32 comment added Robert Harvey The phrase "Hillary has a 75% chance of winning" appears to derive from a CNN transcript in which Nate Silver made this declaration. His statistical methodology appears to be "the betting markets say so." Note that this is the same guy who also said, "I put Trump’s chances of becoming president at 25 percent, much higher today than a year ago I would have given a chance to win the nomination."
Jul 25, 2016 at 22:36 vote accept pitosalas
Jul 25, 2016 at 12:01 history protected Scortchi
Jul 25, 2016 at 11:41 comment added Vince O'Sullivan @immibis When talking about a one-off "thing" or event, you can't say that 75% will happen. Either they all (one of them) happen or none of them do.
Jul 25, 2016 at 11:08 comment added JimmyB I'd read from that that, from polls, Clinton's expected result is to win, but the confidence interval of the numbers is such that there's as 25% chance that the actual outcome is not the same as the expected result.
Jul 25, 2016 at 8:40 comment added Glen_b It depends on the source of the statement; in some cases it refers to a probability under some model, for example (as with the probability assessments on fivethirtyeight.com) but in other cases it relates to some other context it may mean something else.
Jul 25, 2016 at 7:21 answer added seanv507 timeline score: 4
Jul 25, 2016 at 6:43 answer added David Schwartz timeline score: 6
Jul 25, 2016 at 2:32 comment added Count Iblis arxiv.org/abs/1212.0953
Jul 25, 2016 at 2:00 answer added JTP - Apologise to Monica timeline score: 3
Jul 24, 2016 at 23:46 history tweeted twitter.com/StackStats/status/757361308933251074
S Jul 24, 2016 at 21:22 history suggested BlueRaja - Danny Pflughoeft CC BY-SA 3.0
broken sentence
Jul 24, 2016 at 21:12 review Suggested edits
S Jul 24, 2016 at 21:22
Jul 24, 2016 at 20:12 answer added candied_orange timeline score: 15
Jul 24, 2016 at 19:02 comment added Silverfish A key issue here is whether we can attach probabilities to unique (i.e. one-off) events, where we can't apply empirical probabilities in the manner of "if I roll a fair die a large number of times, the proportion of times I roll a six will approach one sixth". But there is an argument that mere subjective degree of belief still ought to behave in practice like a "probability" - more technically, should obey the axioms of probability. So a philosophical approach to this question might make reference to the so-called Dutch Book argument.
Jul 24, 2016 at 18:06 answer added Kodiologist timeline score: 62
Jul 24, 2016 at 17:57 answer added user41979 timeline score: 2
Jul 24, 2016 at 16:10 answer added Placidia timeline score: 33
Jul 24, 2016 at 16:07 answer added Matthew Drury timeline score: 17
Jul 24, 2016 at 14:36 history edited Silverfish
add prediction tag
Jul 24, 2016 at 14:05 answer added a.powell timeline score: 26
Jul 24, 2016 at 14:05 comment added user78229 Since the polls don't make probabilistic estimates and without further context, it sounds like that statement is based on the current results from one of the prediction markets, e.g., the Iowa Electronic Market (see tippie.uiowa.edu/iem). See their Methodology page or any of the many papers about prediction markets for deeper explanations.
Jul 24, 2016 at 13:59 review First posts
Jul 24, 2016 at 14:36
Jul 24, 2016 at 13:59 history asked pitosalas CC BY-SA 3.0