What Trump's latest slump means for the midterms

Silver Bulletin · collected 2026-09-05 · by Nate Silver commentary
Read the original at Silver Bulletin ↗

Summary

Nate Silver discusses his team's upcoming midterm model, which will forecast US House, Senate, and gubernatorial races as well as party control in each chamber. The model has been refined with AI tools to improve accuracy, but its launch is delayed until early next week due to minor coding inconsistencies and documentation requirements. Key data points include 68 input files and 14,000 lines of code being processed by the model. Silver also touches on Donald Trump's record-low approval rating in their conversation.
Written by the local model on 2026-09-05, using this article's own text rather than the other coverage of the same event.

Signals How these are calculated →

Claims extracted
569
claim-shaped sentences
Uncertain
7%
38 of 569 hedged
Leaning
not political
takes no side on a contested political question
Publisher trust
not scored
Commentary is not rated for newsroom trust
Outlets on this story
unclustered
not grouped into a story yet
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-05 · how these are computed

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Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 4635 · logged 2026-09-05

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Compared with similar articles

This article reads unscored and hedges 7% of its claims. Each row says how that neighbour differs.
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“Article A mentions launching a midterms model called FLIPR on 2026-09-04, while Article B promises to launch their model 'next week', implying it will be launched after the date mentioned in Article A”
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“The articles mention different topics related to midterms, but do not describe a specific incident or occurrence that happened on the same date and time.”

Publisher

Silver Bulletin · 20 article(s) · 0 correction(s) detected

Commentary. The three signals behind a trust score all measure a newsroom's record with its own reporting, so they are not computed for this source. How trust is scored.

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Who wrote this

Nate Silver
16 article(s) here · 1 carrying a prediction
🔮 The charts and tables will be updated regularly, and some of the text will change, too.
2026-09-05 · assertive framing · QBERT 2026 NFL quarterback ratings
🔮 Next week, we’ll launch our midterms model, with complete forecasts of the 435 U.S. House races, 35 Senate races, and 36 gubernatorial races on the ballot this November, as well as the overall likelihood of each party controlling each chamber and all kinds of other details.1 The model performed quite well in 2018 after the code was basically rewritten from scratch, and again in 2022 after some further tweaks mostly to reflect increasing political polarization.
2026-09-05 · assertive framing · What Trump's latest slump means for the midterms
🔮 The margin is narrow, but when there aren’t a lot of votes left, will be hard for Stevens to make up.
2026-09-05 · assertive framing · What to make of Michigan
🔮 In the Silver Bulletin/FiveThirtyEight tradition, we’ve always given names to our sports models (PELE, ELWAY) — but never to our election forecasts.
2026-09-04 · assertive framing · How FLIPR forecasts the midterm elections
🔮 Our midterms model, which we’re now calling FLIPR 🐬 — Forecast with Leading Indicators, Polls and (Expert) Ratings — launched today!
🔮 Not only am I profoundly interested in increasingly less abstract questions about how AI progress might disrupt society, but I’m also becoming much more of a power user because AI programming tools have reached the point where they’re now quite helpful with programming our various politics and sports models.
2026-09-04 · assertive framing · Why does everyone hate data centers?
🔮 But as responsible forecasters, we have to say: that’s usually not how congressional elections work, and that narrative is outdated in more than one way.
2026-09-04 · assertive framing · Beware big swings in midterm forecasts
🔮 The podcast, Still Counting, will be produced by Crooked Media.
🔮 That might change if Musk re-enters politics in a serious way.
2026-09-03 · assertive framing · How popular is Elon Musk?
🔮 The podcast, produced by Crooked Media, will officially debut in September.
2026-08-26 · assertive framing · Do I really buy that Texas could turn blue?
More on this subject from Nate Silver
Beware big swings in midterm forecasts
2026-09-04 · Silver Bulletin · 67% similar
How FLIPR forecasts the midterm elections
2026-09-04 · Silver Bulletin · 62% similar
FLIPR 2026 midterm election forecast
2026-08-24 · Silver Bulletin · 56% similar
All 16 articles by Nate Silver →

Topics

Michigan Senate Silver Bulletin Substack U.S. House

Subjects

Eli PERSON · 2× Michigan GPE · 2× Abdul El-Sayed PERSON · 1× Eli McKown-Dawson PERSON · 1× Haley Stevens PERSON · 1× Nate Silver PERSON · 1× Senate ORG · 1× Substack ORG · 1× Trump PERSON · 1× U.S. House ORG · 1×

Narrative

Next week, we’ll launch our midterms model, with complete forecasts of the 435 U.S. House races, 35 Senate races, and 36 gubernatorial races on the ballot this November, as well as the overall likelihood of each party controlling each chamber and all kinds of other details.1 The model performed quite well in 2018 after the code was basically rewritten from scratch, and again in 2022 after some further tweaks mostly to reflect increasing political polarization.
framing: assertive · carried by 1 article(s) · first seen 2026-09-05
🔮 Next week, we’ll launch our midterms model, with complete forecasts of the 435 U.S. House races, 35 Senate races, and 36 gubernatorial races on the ballot this November, as well as the overall likelihood of each party controlling each chamber and all kinds of other details.1 The model performed quite well in 2018 after the code was basically rewritten from scratch, and again in 2022 after some further tweaks mostly to reflect increasing political polarization.
2026-09-05 · Silver Bulletin
What Trump's latest slump means for the midterms · assertive framing

Claims (569 extracted, 38 hedged)

Next week, we’ll launch our midterms model, with complete forecasts of the 435 U.S. House races, 35 Senate races, and 36 gubernatorial races on the ballot this November, as well as the overall likelihood of each party controlling each chamber and all kinds of other details.1 The model performed quite well in 2018 after the code was basically rewritten from scratch, and again in 2022 after some further tweaks mostly to reflect increasing political polarization. asserted
code → launch → polarization
So we’re not looking to reinvent the wheel. asserted
we → look → wheel
However, AI tools are helpful for refining existing code, so we’ve cleaned up some minor inconsistencies, made the code faster, and tested a few hypotheses that should help around the margin. asserted
that → refine → margin
We feel pretty safe about the timing because we got the model basically fully “working” over the weekend. asserted
model → feel → weekend
Still, we need a day or two to make some further coding refinements, a day to write up the documentation, a day or two to test out some further empirical improvements on our punch list, a day or so to finalize the graphics, and some time to double-check everything and kick the tires on anything that looks weird. asserted
that → need → anything
We’ll also surely have some “take” for you about Michigan after Abdul El-Sayed and Haley Stevens have their primary on Tuesday night. asserted
Sayed → have → night
That’s a finite amount of work, but it probably lands us at early next week, not this week, for model launch. asserted
it → ’ → launch
We greatly appreciate your patience and are looking forward to having a model-heavy autumn with both the midterms and ELWAY. asserted
We → appreciate → midterms
In line with our protocol for 2024, we’ll publish polling averages of key races for everyone, while the probabilities and forecasts themselves will be for paying subscribers. asserted
probabilities → publish → subscribers
Full disclosure: we typically increase our monthly pricing for new subscribers when we have a time-sensitive model like the midterm forecast running. asserted
model → increase → forecast
This will not affect annual pricing, and it will not affect any existing paid subscribers. asserted
it → affect → subscribers
Pricing at Substack is always grandfathered in permanently, so long as you remain continuously subscribed. asserted
you → grandfathere → Substack
In fact, you can still lock in our “off-season” pricing until the model officially launches next week. asserted
model → lock → pricing
Yesterday, I chatted with Eli about the model, the midterms and Michigan — and Trump’s approval rating, which once again recently hit a record low in our tracking. asserted
which → chat → tracking
You can find the video below, though it’s choppy in places2 so there’s also a lightly edited transcript below. asserted
it → find → places2
Hey Eli, how are you doing? asserted
you → do → ?
Eli McKown-Dawson: Doing pretty well. asserted
Dawson → do → ?
I’m going to have some news for you and for Silver Bulletin in a minute that explains why I’m sadly kind of bleary-eyed. asserted
I → go → minute
The model is working, which is good. asserted
which → work → ?
That doesn’t mean it’s done, but it means that it takes these files that we — mostly you — spent months gathering. asserted
we → mean → months
I think there are 68 different input files that we use in the program.3 asserted
we → think → program.3
It goes through 14,000 lines of code, and it spits out coherent projections for the state and the national picture. asserted
it → go → state
There are a lot of things we still have to vet. asserted
we → be → things
By the way, you almost gave me a heart attack last night. asserted
you → give → attack
One of the variables that we use is a candidate experience variable, which runs on a scale of 0 for never elected to anything to 3 for a senator or governor. asserted
which → use → senator
In the [data] we were using, a candidate with no experience got coded as a 9. asserted
candidate → use → 9
Nine is sometimes used for missing data. asserted
Nine → use → data
The model interpreted a 9 as you’re fucking Gandhi crossed with Reagan crossed with Obama crossed with the Pope. asserted
you → interpret → Pope
You’re the most popular incumbent ever. asserted
You → ’re → ?
So it had all these [inexperienced challengers] crushing [incumbents]4, and I’m like, “wow, we’re really out of consensus. asserted
we → have → consensus
That’s interesting.” asserted
That → ’ → ?
And then we fixed that, and it became more normal. asserted
it → fix → that
I will say, we are going to spend a little bit more time debugging, vetting, building better graphics, and looking at new features. asserted
we → say → features
My guess, in true honesty, readers, is that we will launch the model a week from Monday, so the 10th. asserted
we → launch → Monday
It’s not official — we’ll talk about it in our planning meeting. asserted
we → ’ → meeting
If life depended on it, we could probably launch this week. uncertain
we → depend → it
We have a big primary this week in Michigan, which we’re going to talk about a lot. asserted
we → have → lot
But basically, we are on the final lap, I would say, Eli. asserted
I → say → lap
I do just want to say, I saw that message yesterday about the nine versus the zero coding. asserted
I → want → coding
I’m fairly certain your original message about that did say to code those people as nines. asserted
message → ’m → nines
…and 529 more, not listed.
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