Summary
Polling aggregator FiveThirtyEight has named Vice President Kamala Harris as the narrow favorite to win the presidential race on Election Day, shifting from former President Donald Trump for the first time since October 17.
Harris’s lead is razor-thin, with FiveThirtyEight’s model showing her winning 50 out of 100 simulations compared to Trump’s 49. Similarly, Nate Silver’s model in The Silver Bulletin also slightly favors Harris, giving her a win in 50.015% of cases.
Both forecasts emphasize the unprecedented closeness of this race, with Pennsylvania as a key battleground.
Also, these models are extremely rough. They are forced to make a bunch of very rough estimations and guesses, which are then aggregated to a stupidly precise number making it look scientific.
It’s a fun enough exercise, but it’s really just repeated endlessly because it’s so goddamn easy to report on.
There’s also the problem that if the polls are crap, the results of the model will also be crap, regardless of how accurate the model is. It’s similar to how publication bias affects meta-analyses. Several analysts have already argued that pollsters are unlikely to underestimate Trump again, and may in fact over-correct and underestimate Harris much like how they underestimated dems in 2022:
- https://www.nytimes.com/2024/10/23/opinion/election-polls-results-trump-harris.html#link-647a30f1
- https://www.newsweek.com/kamala-harris-underestimate-polls-wrong-election-donald-trump-1979080
- https://nypost.com/2024/10/30/us-news/election-polling-could-be-underestimating-kamala-harris-democrats-in-key-states-cnn-data-reporter-warns/
The Nate Silver model (at least) puts in a bunch of “corrections” for poll quality and historical bias from individual pollsters.
So you’re really playing a second or third level game of “Did Nate (or your other poll aggregator) correct for all the effects and biases, or did they miss something important?”
And we will never be able to validate if these odds are accurate or not, because this specific election will never be replayed again.
