Well, yeah. I get the feeling you've not got much of a basis in science. The scientific method behind the building of a model, especially a model relying on incomplete and flawed data which produces a probabilistic results, is not completely invalidated by getting it "wrong".
Wong's model was clearly a bad model, what with it giving Trump basically no chance even in Clinton's worst days. If I'm being cynical, I reckon he knew it was a bad model and was gambling on looking very smart when Clinton won by building a model which massively overrated the favourites chances. He'd be the man who knew with 99% certainty that Clinton was going to win, the new polling genius.
Whereas Silver's model didn't actually do that badly. 30% chance for Trump definitely gave him a chance to win and really given the polling there was no reasonable way to model it which made Trump a favourite. The polls are an imperfect way to judge the state of an election but as good as we have. All you can do is analyze what they're saying, undeniably Clinton was leading in the polls, and then try to judge the uncertainty accurately. Silver did that, gave trump a good chance, while Wong didn't. It won't be right every election.