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by rayiner 2051 days ago
They didn't just add a "shy Trump voter" factor:https://www.nationalreview.com/2020/10/another-pollster-sees...

They tried to come up with approaches to get around the very effect the article talks about: Trump voters don't answer survey questions. The main differences in methodology were making fewer assumptions about Republican turnout, larger sample sizes, and different survey techniques.

Trafalgar clearly missed some things: traditionally republican collar counties breaking hard for Biden. (My county didn't vote for Obama either time, but voted for Biden by 12, after voting for the republican governor a couple of years ago by 38.) But 538 had some insane misses this year in critical states like Wisconsin (off by 7.7), Ohio (off by 7.3), Florida (off by 5.9), etc. Finalizing counts in NY and CA isn't going to change those numbers--and Trafalgar wasn't analyzing them anyway.

1 comments

Like I said in an earlier comment, comparisons between polls and a model aren't completely fair. Part of the model's calculation is that 8.8 points or whatever requires an enormous polling error to swing for trump. I do agree that other polls should get criticism/improve their methodologies to avoid the ~5 point margin in FL, or the 7.7 margin you listed. And, I even think that they may not get as much criticism as their errors warrant because many of these states were off by 6+ points but still went for Biden. Still, Trafalgar has a unique methodology that should be understood better before they are extolled as the "best pollster". And, Trafalgar is not immune to similar polling errors, just in the other direction, and with a wrong result. The delta may be more important from a statistical methodology standpoint, but these polls are measuring winner take all states, and "The Trafalgar Group’s Robert Cahaly is an outlier among pollsters in that he thinks President Trump will carry Michigan, Pennsylvania, or both, and hence be reelected with roughly 280 electoral votes" is a pretty poor prediction based on their data. Does this mean that their data is necessarily poor? No, but it isn't a good sign.