*: https://www.nytimes.com/2017/05/31/upshot/a-2016-review-why-...
*: https://www.nytimes.com/2017/05/31/upshot/a-2016-review-why-...
And if a poll doesn't reflect that reality then it's not a good poll.
To show whether a forecaster is good at what they do, you need to track their results for multiple forecasts and see what their track record is.
The error has been pretty consistent forever, it's just hard to do a poll and have it line up exactly with reality because a poll is a sample in time of the thoughts of a subset that may not match who shows up. All of those factors go into why polls miss; some populations are harder to reach than others, news can come out between the poll and election day or bad weather could mess up your turnout model by keeping a lot of people home.
https://fivethirtyeight.com/features/the-polls-are-all-right...
There were a lot of garbage poll-based predictions (the Clinton 90+% ones) based on assuming independence of polling errors. Predictions with claims of quantified likelihood based on polls are a fairly recent media phenomenon, and I think some of the legitimate reaction to how bad many of those were spilled over into polls themselves, because people don't understand that the polls weren't the source of the problem. (Which fed into existing political narratives against polling; propaganda definitely played a role but there was a real issue it interacted with.)
Are you perhaps thinking of a model?
http://graphics.latimes.com/usc-presidential-poll-dashboard/
The average poll missed by 4.8 points. This result wasn't much worse than average, but it definitely was below average.
I can see why someone might be confused by this - one might think these polls are predicting who will become president.
https://en.wikipedia.org/wiki/2015_United_Kingdom_general_el...