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An option resolves Yes if that person becomes the 2024 Democratic Party nominee and wins the presidential election.
An option resolves No if that person becomes the 2024 Democratic Party nominee and loses the presidential election.
An option resolves N/A if that person is not the 2024 Democratic Party nominee.
For a version of this question that resolves based on either the 2024 or the 2028 nominee, see here:
/ManifoldPolitics/who-would-win-the-us-presidential-e-9c4d510caf24
For the Republican Party, see here:
/ManifoldPolitics/who-would-win-the-us-presidential-e-2f4e0b318013
Related questions
someone with more mana than me ought to arb this with https://manifold.markets/jack/who-will-win-the-2024-us-presidenti-8c1c8b2f8964
A switch out after the convention is very unlikely, so I think this market's accuracy would be best served by promising to return traders' conditional investments as soon as possible. So we'll resolve all non-nominees to N/A after the convention is over.
Other markets can be made about scenarios where the nominee changes after the convention for whatever unlikely reason.
@ManifoldPolitics does this resolve YES in addition to the option for that specific Democrat if (for example) Gretchen Whitmer wins? Or should this be read as "any other Democrat except those listed here"?
@ManifoldPolitics The liquidity here is terrible, a measly 100$ bet on kamala moves it by 5%.
I believe pretty strongly that Biden will be the nominee (My biggest bet on this website so far...) But if you think this is a pertinent question maybe consider injecting some sweet sweet manna....
Please add more options? E.g. the following:
Andy Beshear
Amy Klobuchar
Josh Shapiro
Hillary Clinton
JB Pritzker
Cory Booker
Based on:
I tried to build a model for Whitmer based on polling data and her performance relative to presidential elections. Base estimate is around ~87% chance of Whitmer winning. Then just depends on how much of a hit you estimate the swap would cause. Lots of assumptions though.
https://dactile.net/p/whitmer-elect-forecast-prob/article.html
cool work!
my biggest problem with this model is I think it assumes that voter elasticity and willingness to split tickets is consistent across different elections- in reality, voters are much more willing to split tickets in non presidential years and there are much more persuadable voters. There are also much more persuadable voters in governor's elections than in other elections- presidential races have by far the fewest persuadable voters.
Sanity check: Phil Scott (R) won Vermont by 47 points in 2022, when Biden won it by 36 points in 2020. I think the model would probably predict that he'd win like >45 states, which I would quite confidently bet the under on!
Thanks!
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Yes, this is a good point. With more time I wanted to try to measure the average entropy of governor races compared to president races, and then try to adjust that out.
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The point about Phil Scott is good. This is in the same theme for why trying to apply this model to PA Gov Josh Shapiro and his 15 point win probably wouldn't be reasonable. Here's my general thoughts there:
I would guess state-level correlations would decrease at the extreme ends of changes (and become anticorrelated in more states). However, I hypothesize (but lack good evidence) that there is some threshold of similar-enough elections where can draw inference like this. It is not completely clear whether this threshold is within Whitmer's ~4.5 points difference with ~3.5 CI90 of county variance is in this range. I will say that the estimated shifts do not seem unreasonable.
This model gathers correlation from models of state results in fivethirtyeight/Economist models (using data aggregated by Pearce). However, I'd acknowledge this probably assumes too much state correlation. A better version of the post probably would have discussed this more and shown different scenarios of weakening the correlation (for example, squaring the correlation lowers the Whitmer probability by ~10 points. Only apply the estimated change in MI keeping every other state the same is a ~10 point improvement over Biden (I should add text about this)). Also with more scope it would be good try to figure out better ways of estimating this correlation (including in the extreme ends you describe).
I appreciate the feedback!
I added a update section which incorporates this into the text. I appreciate the feedback @SemioticRivalry . I added your comment in the acknowledgements of the text.