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G. Elliott Morris on Muck Rack

G. Elliott Morris

Verified
Washington, D.C.
As seen in: Strength in Numbers, Next Big Idea Club Podcast, The New York Times, Yahoo Canada, Yahoo News, ABC News, Aol, The Economist, The MIT Press, So What?, Substack and
Covers:  Anything with data, especially American politics
data-driven journalist, pollster & author of the book & Substack STRENGTH IN NUMBERS. co-founder @50plus1news. formerly Pew, 538, The Economist. email me not DM

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G. Elliott Morris’s Biography

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Data journalist at @TheEconomist. I write mostly about polls, elections & political science. Past @pewmethods @UTAustin🐂. Newsletter: http://thecrosstab.substack.com

Articles

KILL THE VAMPIRES

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By G. Elliott Morris Verified
| Strength in Numbers
The feedback to my Thursday piece re-analyzing Wisconsin polling microdata has been overwhelming and positive. I have received more emails and texts about this survey than anything I’ve written in a while. I consider this a huge win, not only because I am a millennial/Gen-Z and crave your validation, but because it shows the utility of explaining the ins and outs of polling in public. I did want to issue a short follow-up post about this. What about the vampires?
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It’s not just young Democrats who like lefty candidates

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By G. Elliott Morris Verified
| Strength in Numbers
I have published four long articles this week — and done approximately one trillion interviews about the primary polls in Wisconsin and elsewhere (and recording for NPR’s Weekend Edition today) — and am quite tired. Of course, it’s a privilege to be able to write 3,000 words about weighting polling microdata and make a living doing so, but sometimes you run out of gas. That’s just to say there will be no standalone Friday column this week.
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Can we trust the polls in 2026?

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By G. Elliott Morris Verified
| Strength in Numbers
On this week’s Strength In Numbers podcast, Elliott and David dig into why the Wisconsin governor’s primary polls overestimated Francesca Hong by 20 points, why the “the polls are overestimating the left” narrative falls apart pretty quickly (look at Minnesota), and why late primaries are bad for democracy (and frustrating for election forecasters). Here are the big takeaways: Hong’s miss is a 90th-percentile polling miss, not proof the industry is broken.
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