@bencasselman
Ben Casselman
4 years
This is a very cool new interactive from @FiveThirtyEight . It lets you see how the odds change depending on who wins specific states. So if Trump wins PA, he has a 73% probability of winning the election, but just 3% if he loses it.
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@bencasselman
Ben Casselman
4 years
@FiveThirtyEight What makes this really powerful is that it incorporates correlated errors. Biden is ahead in the polls in PA, so if Trump wins it, that means the polls were off (or that something else changed). That shifts probabilities elsewhere as well, esp. nearby states like Ohio.
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@danielmangrum
Daniel Mangrum
4 years
@bencasselman @FiveThirtyEight If I understand this correctly, the outcomes are correlated. So choosing Trump to win PA increases his odds of winning other states. It’s the correct model IMO but changes the interpretation.
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@bencasselman
Ben Casselman
4 years
@danielmangrum @FiveThirtyEight Yes, that's right. The polls favor Biden in PA, so if Trump wins it, that indicates the polls were off there (or something changed in the real world), so probabilities in other states shift as well. (With some states correlated more strongly with PA than others.)
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@AScribbledEagle
ok then 🐡
4 years
@bencasselman @FiveThirtyEight You've not understood the model - by giving Trump or Biden PA the other states' results are affected, as you can see on the screenshots
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@bencasselman
Ben Casselman
4 years
@AScribbledEagle @FiveThirtyEight Right. The model (correctly) recognizes that results are correlated. If Trump wins PA, that means the polls there were off (or something changed), so that means other states will probably swing in his direction as well.
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@dumpchrump
dumpchrump
4 years
@bencasselman @FiveThirtyEight Ben that's not totally accurate . It also depends on what other swing states you project dump to win or lose .
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@bencasselman
Ben Casselman
4 years
@dumpchrump @FiveThirtyEight Well, but the example I showed was assuming you make no other selection, and it updates its probabilities based on how you assign PA.
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@psprinkle
Patrick Sprinkle
4 years
@bencasselman @FiveThirtyEight I am feeling increasing optimistic that if Trump wins PA, Biden can make up for with NC and AZ.
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@foodinmouth
YIMBY 🇹🇼🇺🇦
4 years
@bencasselman @FiveThirtyEight Their biggest problem is still that common folks don't trust the polls to be right. Sure Nate got it 2 prez elections in a row, but basically he saying "our models say 9 out of the 10 invitees to your dinner party aren't axe murderer of democracy" but if it happens... He still $
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@birdsong47
birdytunes
4 years
@bencasselman @FiveThirtyEight Stop doing this to us, I’m telling you we are at maximum freakout level here in PA already!!
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@cjalexander240
ready for #18
4 years
@bencasselman @FiveThirtyEight Polls are nothing. JUST VOTE.
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@kelainey
I’m Just Kel
4 years
@atrupar
Aaron Rupar
4 years
"I wasn't coming to Erie ... I have to be honest, there was no way I was coming" -- Trump's pitch to Erie is basically telling people how much he doesn't want to be there. Bold strategy.
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@thatcrazycaniac
canes fan page ³⁰
4 years
@bencasselman @FiveThirtyEight Just sayin but Biden prob won’t win North Carolina
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@KendallEJacobs
Kendall Jacobs
4 years
@bencasselman @FiveThirtyEight Excellent. Now I can play out all my doom scenarios today.
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@aviddayentonbay
David Benton
4 years
@bencasselman @BrandenHarvey @FiveThirtyEight Surprising that tossup states have a large effect on model predictions for other states. E.g., calling Ohio (predicted 50/50) should change outcome distribution (locks in EVs), but absent data on margin of victory, outcome of Ohio doesn't provide much information abt other states
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@LordBallsmore
The Indubious
4 years
@bencasselman @FiveThirtyEight Interesting. If you give Trump PA , but lock in CO, MN and MI for Joe...it’s basically 50-50.
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@arnavmody
Arnav Mody
4 years
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@benjamminlester
Ben Lester
4 years
@bencasselman @FiveThirtyEight Same with Wisconsin. And both don’t start counting mail in ballots until Election Day...
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