Expert estimates of probability are often off by factors of hundreds or thousands. [...] I used to be annoyed when the margin of error was high in a forecasting model that I might put together. Now I view it as perhaps the single most important piece of information that a forecaster provides. When we publish a forecast on FiveThirtyEight, I go to great lengths to document the uncertainty attached to it, even if the uncertainty is sufficiently large that the forecast won’t make for punchy headlines.
Nate Silver
From the same post:
...One might expect it [our gut-feel sense] to be especially bad in the case of presidential primaries. There have been only about 15 competitive nomination contests since we began picking presidents this way in 1972. Some of them — like the nominations of George McGovern in 1972 and Jimmy Carter in 1976 — are dismissed by experts if their outcomes did not happen to agree with their paradigm of how presidents are chosen. (Another fundamental error: when you have such little data, you should almost never throw any of it out, and you should
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