A lot of the accuracy of the poll is also the degree of confidence. For example, if the there is a 3% margin for error with a 95% degree of confidence, a candidate could be predicted to have 47% of the vote and the actual could be between 44 to 50% and the poll would have still been accurate. People tend to zero in on the initial prediction without the tolerance, thus they think if the candidate was predicted to get 47% and they actually got 44, they think it was wrong.One of the polling problems is that in order to decrease the margin for error to be .001 percent (versus the typical 3%) , the increase in data points (sample size) would have to be increased almost geometrically. the same applies if the degree of confidence was increased to 99.99 percent. From a financial viewpoint, that type of accuracy is not likely to be affordable in many cases. In a close election, even a 1% margin is far too large to be acceptable for projecting an actual winner. That said, from what I've heard, it seems the primary polling error in this case is the over-reliance on using the 2012 results of actual voters. First, that election was won by a democrat, thus the percentage of likely voters were also more likely to be democrat, up front. Second, with the unusually high turnout in 2012 were blacks voting for a black president, those numbers would again be skewed (unless Hillary could get the same number of black voters, which she did not do). Therefore, pollsters should have realized the odds of blacks showing up for Hillary would surely be less than blacks showing up for Obama. By relying on the flawed logic of using 2012 likely voters, and ignoring the very real possibility that trump was attracting voters who vote very infrequently, they underrepsented that element of the population. I suspected the election could be closer than projected because of those flaws, but I also realized that the margin of error was such that Hillary could have had 50% of the vote versus what may have been an expected 47%, thus potentially eliminating the offset of the new voters Trump attracted. Nevertheless, I would have also been fooled and my internal feeling was Hillary would win. So, I wouldn't have done any better than the Pollsters, but I'm not a statistician either. I think part of the rigged election claims by Trump was based in part on the attempt by the media to discourage Trump voters that it was a done deal and Hillary would absolutely win, therefore, don't bother to vote. I think that was definetly a legit complaint by Trump. Moreover, the extent of literal election day fraud is well known in Chicago, Philadelphia and many other democratically controlled cities. Naturally, the historical cheating doesn't guarantee current year cheating would occur, but it is natural assumption to make. Demo's don't have a good track record in voting honesty. IE. President Kennedy in 1960 versus the actual winner Richard Nixon.