What Trump's latest slump means for the midterms

Read the original at Silver Bulletin ↗
Cite

Silver, N. (2026, September 5). What Trump's latest slump means for the midterms. Silver Bulletin. https://www.natesilver.net/p/what-trumps-latest-slump-means-for

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Silver Bulletin · collected 2026-09-05 · by Nate Silver commentary

Quick 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 locally by qwen2.5:14b on 2026-09-05, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Nate Silver's publication, the Silver Bulletin, is planning to release its midterms model next week, which will provide forecasts for 435 U.S. House races, 35 Senate races, and 36 gubernatorial races on the ballot in November. The model has performed well in previous elections, including 2018 and 2022**, but this year's version will include some refinements using AI tools to clean up minor inconsistencies and improve speed. Despite feeling "pretty safe" about the timing, Silver notes that there are still a few days of coding and testing left before the model is finalized.

Written for “Trump Election Impact” on 2026-10-21, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Trump Election Impact
Politics · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 7% of its claims. Each row says how that neighbour differs.
Silver Bulletin
⚖️ leaning not scored 🔴 3% hedged 8 of 281
“Article A mentions the introduction of a new model name (FLIPR) and an informal discussion about their 'midterms model', while Article B is a more technical preview of the same model's launch with updated forecasts for the upcoming midterms, indicating two related but distinct events”
The Straits Times
⚖️ Leans left 🔴 12% hedged 3 of 25 📰 publisher trust 60
“Article A discusses a model for midterm election predictions, while Article B reports on a Republican convention in Dallas to rally support around Trump's record.”
New York Post
⚖️ Leans strongly right 🔴 6% hedged 2 of 36 📰 publisher trust 66
“Article A discusses the upcoming midterms model, while Article B makes a general comment on the midterm elections and the contrast between the Trump administration and Democrats”
NPR
⚖️ Leans left 🔴 6% hedged 1 of 18 📰 publisher trust 60
“Article A is about launching a midterms model and updating code, while Article B discusses the general election season and competitive races”
Silver Bulletin
⚖️ leaning not scored 🔴 3% hedged 1 of 30
“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.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
569
sentences that state something as happening or true
Uncertain
7%
38 of 569 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
not measured
these signals count newsroom corrections; Commentary has none to count
Outlets on this story
1
Politics
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-05 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Silver Bulletin · 45 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Nate Silver
31 article(s) here · 1 carrying a prediction
🔮 But leave that philosophical question aside for now — because after a long week of travel,1 I could use a simpler Model Talk.
2026-10-17 · assertive framing · The good, bad and ugly outcomes in the Senate
🔮 Below, you’ll find our forecast for each 2026 Senate race, along with how our numbers have changed over time and which states are likeliest to decide control of the chamber.
2026-10-15 · assertive framing · FLIPR 2026 Senate forecast
🔮 Although our critics might disagree, we seek to avoid false equivocation at Silver Bulletin.
2026-10-09 · assertive framing · Could Minnesota spoil the blue wave?
🔮 It’s not unreasonable to approach election polls from a position of mild — maybe even more-than-mild — skepticism.
2026-10-03 · assertive framing · What if the polls are wrong again?
🔮 That definitely will not happen before the midterms.
2026-10-01 · assertive framing · SBSQ reboot thread
🔮 We think it’s an important story, providing historical context on midterm elections that helps to explain FLIPR’s increasingly optimistic forecast for Democrats.
2026-10-01 · assertive framing · Why did Ohio stop being a swing state?
🔮 The 2026-27 NBA season begins on Oct. 20, when the New York Knicks will lift the championship banner to celebrate their first NBA title in 53 seasons.
2026-09-28 · assertive framing · NBA Future of the Franchise Rankings 4.0
🔮 Our Silver Bulletin polling average forecasts a much closer race — with Turek ahead by 1.9 points — though that would still be an impressive result in a state that Donald Trump won by 13 points in 2024.
2026-09-22 · assertive framing · Diesel prices could crush Republicans in the heartland
🔮 It’s sometimes nice for forecasters when races are toss-ups; it keeps you from putting your neck out too far.
2026-09-20 · assertive framing · Expert ratings are ignoring signs of a blue wave
🔮 A snail will spend the rest of eternity trying to track you down.
2026-09-15 · assertive framing · We’re not ready for superpersistent AI
Also by Nate Silver
The good, bad and ugly outcomes in the Senate
2026-10-17 · Silver Bulletin
FLIPR 2026 Senate forecast
2026-10-15 · Silver Bulletin
Could Minnesota spoil the blue wave?
2026-10-09 · Silver Bulletin
What if the polls are wrong again?
2026-10-03 · Silver Bulletin
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 31 articles by Nate Silver →

Topics

Michigan Senate Silver Bulletin Substack U.S. House

Subjects

Eli PERSON · 2× Michigan ORG · 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.
💬Give feedback
🕘History 🎫Support