Earlier quoted context omitted.
>If there's 1 thing I've learned in the past 2 years, it's that experts can be deadly wrong (Trump being president, Brexit). Be very careful with those conclusions. In both cases the predictions were that the elections were very close. Trump winning the presidency when the best models we had gave him a 30% chance is not a failing of prediction at all.
> Trump winning the presidency when the best models we had gave him a 30% chance is not a failing of prediction at all. How accurate the "best models" were isn't really relevant to the accuracy of the predictions of experts as a whole. The media was running that Clinton had a 98% chance of winning the morning of the race.
Nate Silver wrote at length about this but the gist is that the polls were pretty accurate but some people talked about them imprecisely:
https://fivethirtyeight.com/features/the-real-story-of-2016/