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Polls are always off to some degree, and it's often explainable to their weighting factors, e.g. in 2016 they didn't take educational polarization into account sufficiently. It's also pretty clear that many polls are herding this year, and the fact they're weighting on previous elections (which AFAIK wasn't standard practice before 2024) is another potential avenue for a bigger-than-average miss. Much of the industry is just really, really worried about underestimating Trump for a third time in a row, and as such they might be overcorrecting.
The initiatives against voter fraud won't amount to much because there's never been much evidence for widespread voter fraud despite countless fishing expeditions trying to find some. It does exist in isolated cases, e.g. an old black women voting once for herself, and once for her dead father whose house she's now living in. But beyond individual incidents like these, there's not much else.
There is no good indication that any of the major polls underestimated Trump in any previous elections.
If you estimate that Trump has a 30% chance to win, and he wins, you weren't wrong. You'd have been wrong if Harrison Ford, estimated as having a 0% chance of winning, had won.
There haven't been enough elections in which Trump was eligible in order to say much about whether his chance of winning was underestimated.
I was talking about polls here, not modelers like Nate Silver. Polls don't estimate win chances, they estimate win margins. They had a lot of egg on their face for stuff like Wisconsin in 2016.. Polls underestimated his support in most swing states in both 2016 and 2020.
I agree that Nate Silver didn't get it "wrong" in 2016 as popularly perceived, as they're doing something different.
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