Brainster
Penultimate Amazing
- Joined
- May 26, 2006
- Messages
- 22,304
G. Elliott Morris, who took over 538 after Nate Silver left, says the Democrats actually over-performed compared to a simple but reasonably accurate model:
Which leads to this:
Morris notes that politicians and their staff really don't like this simple explanation:
<snip>Political scientists have been pointing out for decades that you can predict presidential elections reasonably well using just two pieces of information: how voters feel about the incumbent president, and how voters feel about the economy. There are many variants of this model — such as the “Bread and Peace” model (Douglas Hibbs), the “Time for Change” forecast (Abramowitz), Ray Fair’s “Fair” model, and Wlezien/Erikson’s work with “Leading Economic Indicators” — but all use a similar set of economic and political “fundamentals” to predict the result of the election.
That’s it: two variables, both measured before Labor Day, both knowable months before any ad runs, and in some cases, before candidates are even picked.
Which leads to this:
Note that this more or less undercuts racism or sexism as an explanation for her loss.In 2024, Kamala Harris received about 49.3% of the two-party vote. The model — fit on data from 1956 through 2020, with 2024 held out — predicted she’d get about 48%, with an 80% prediction interval of 46.6% to 49.9%. Harris’s vote share lands on the upper end of this range, but still squarely inside of it.
Morris notes that politicians and their staff really don't like this simple explanation:
I recently tried at a meeting with congressional staffers, and I think it left them dejected and/or upset, because it left them with few action items besides “run anti-incumbent candidates when the economy sucks.”
Another reason consultants don’t focus on structural factors more often is that they can’t sell you any services to solve that problem, because there’s nothing you can do about them.