He didn't though, and that's my point. What you're saying is factually untrue, they haven't updated their prediction since election morning, and it sits at 71% Clinton [0] (Updated Nov. 8, 2016). If you don't believe that, then you can take a look at archive.is, which provides timestampped copies. This [4] is an archived copy from well before polls closed (3:30 PM), there are others from earlier in the day.
I don't know what led you to believe that it was a sure clinton win, but that just wasn't the case.
Clinton won the popular vote by somewhere between 2 and 3%. National polls from just before the election (also per 538, [1]):
+4, +2, +3, +4, +4, +4, +4, +4, +2, +3
An arithmetic average of those gives C + 3.4.Take Florida, a state trump won, here's polls taken in Novemeber [2]:
+1, -3, +0, +2, +1, -4
An arithmetic mean gives -.5, Trump won by about a percent.Take Pennsylvania [3], another close state. November polls again
+1, +2, +4, +6, +3, -2, -2, +0, +0, +2, +2
An arithmetic mean gives Clinton + 1.18, Trump won by about .7, so this was perhaps the greatest polling blunder, and its still a margin of under 2%, which isn't unheard of.[0]: https://projects.fivethirtyeight.com/2016-election-forecast/ [1]: https://projects.fivethirtyeight.com/2016-election-forecast/... [2]: https://projects.fivethirtyeight.com/2016-election-forecast/... [3]: https://www.nytimes.com/elections/results/pennsylvania [4]: https://archive.fo/4EQGB
All of these things could have occurred, but something definitely was wrong with the polling data. Nate Silver just like NYT gave Hillary a 90% chance at the start of the day, and this was all based on using the polling data as inputs to their models.