Also, Trump gained ground among demographics (compared to 2016) that would have been most affected by voter suppression, and lost ground among white men.
Oh, really?
CNBC: Postal Service data shows poor mail-in ballot delivery rate in key swing states, judge suggests Postmaster General DeJoy might have to testify.
From: https://www.cnbc.com/2020/11/04/2020-presidential-election-p...
--- KEY POINTS
The Postal Service on Election Day failed to deliver a significant percentage of mail-in ballots to several states that could determine who wins the presidential contest between President Donald Trump and Joe Biden, data filed with a federal court suggested Wednesday.
The states seeing relatively poor levels of mail deliveries of ballots include Georgia, Pennsylvania, Michigan, North Carolina and Wisconsin, all of which have yet to declare victors in their tallies for Trump and Biden.
The states affected include Georgia, Pennsylvania, Michigan, North Carolina and Wisconsin.
Federal Judge Emmet Sullivan was furious at Postal officials for failing to inform him Tuesday of their failure to do sweeps at mail facilities for ballots by a mid-afternoon deadline.
It looks like the FiveThirtyEight popular vote forecast will end up and few points off of the final count, but it will be within the confidence interval.
I guess all this depends on the disparate sorts of polling data that was available and how it was all weighted. Gelman et al published their model so it's worth digging into.
There are other complex factors, too. I keep seeing polling/forecast methodology explainers mention calibration to historical data so that if the same method was applied to historical elections then it would have been accurate. But Trump is a way different candidate than any other Republican (or Democrat); he is appealing for reasons that other politicians aren’t. It may be that no historically calibrated forecasting methodology will be accurate when you have a Trump.