If you’re concerned about data centers and protecting our natural resources, my record speaks for itself. Politicians like Tom Tiffany claim they want to repeal the data center tax credits passed by their own party, but refuse to commit to voting for data center regulations that protect our land and water, demand good wages for construction workers, and require big tech companies to cover the cost of their infrastructure. I pushed for a data center moratorium in Bayfield County because we are drafting new zoning codes that will regulate data centers. From Bayfield to Madison, the public has been very clear about this issue; we want a pause on these new developments that impact our land, water, and communities. My opponent’s record is a different story. He is recruited, funded, and endorsed by a prominent data center lawyer who cast the only “NO” vote against Polk County’s recently approved data center moratorium. He has taken campaign cash from big utility company PACs such as WE Energies, Alliant, and the Wisconsin Electric Cooperative Association. He even voted against DNR oversight on new power lines, streamlining the process for data center companies to buy up farmland for their new high-voltage infrastructure. I am going to Madison to represent the people, not the utility companies. Vote Charly Ray on November 3rd to stand up to big tech and their data centers.
Wisconsin Governor 2026: the ads, and who's paying for them
Tom Tiffany (Republican) and David Crowley (Democrat) are the candidates for governor of Wisconsin in the November 3, 2026 general election. Semblen has analyzed 51 ads in this race; 39 used at least one manipulation technique, most often loaded language and name calling.
Tom Tiffany (REP), David Crowley (DEM). On the ballot as listed by Ballotpedia. 51 ads analyzed, 39 with at least one technique in the copy. Newest first. The paid-for-by line is the advertiser's own filing. Updated 2026-10-08.
Findings
As of 2026-10-08. Counts are of distinct ads; the same text run many times is one ad.
- Ads analyzed
- 51 (Meta 49, YouTube 2) · started running between 2026-10-02 and 2026-10-08
- With at least one technique
- 39 of 51 (76%)
- Most common techniques
- Loaded Language · 27 adsName Calling · 21 adsAppeal to Fear · 20 ads
- Meta
- 37 of 49 (76%) flagged · Loaded Language (26), Name Calling (20), Appeal to Fear (19)
- YouTube
- 2 of 2 flagged · Appeal to Fear (1), Appeal to Prejudice (1), Black-and-White Fallacy (1)
- Reported Meta spend
- $71,200–112,963 on all ads, $64,400–99,027 on flagged ads · Meta reports ranges; these are the sums of their ends
- Example
- “bragged” — Loaded Language, paid for by Tiffany for Wisconsin · the flagged ad with the highest reported spend that shows the most common technique
Embed this race on your site
A small box with these findings and the newest ads, updated as new ads are analyzed. Free for newsrooms, blogs and campaigns alike; it links back here.
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Who is running these ads
Each side is the campaign plus the groups backing it. How a group is placed is explained below the table.
| Side | Ads | With at least one technique | Most common |
|---|---|---|---|
| Tiffany (R) | 17 | 14 of 17 (82%) | Loaded Language (12), Appeal to Prejudice (9), Name Calling (9) |
| All from the campaign; no ads here from groups placed on this side. | |||
| Crowley (D) | 11 | 8 of 11 (73%) | Loaded Language (6), Name Calling (6), Appeal to Fear (4) |
| Crowley's campaign | 10 | 7 of 10 (70%) | Loaded Language (6), Name Calling (5), Appeal to Fear (4) |
| 1 group backing Crowley | 1 | 1 of 1 | False Urgency (1), Name Calling (1) |
| Not placed on a side (6 sponsors) | 23 | 17 of 23 (74%) | Loaded Language (9), Appeal to Fear (8), Black-and-White Fallacy (7) |
Read this before comparing the sides. Ads that attack an opponent use these techniques far more often than ads that introduce a candidate, whoever runs them, so the side running more attack ads shows a higher share. A technique is about wording, not about whether an ad is true. These are online ads only (Meta and YouTube), not television.
By sponsor (11)
| Paid for by | Side | Ads | With at least one technique | Most common |
|---|---|---|---|---|
| Tiffany for Wisconsin | Tiffanythe campaign | 16 | 13 of 16 (81%) | Loaded Language (11), Appeal to Prejudice (8), Name Calling (8) |
| Restoration of America | — | 13 | 11 of 13 (85%) | Appeal to Fear (6), Loaded Language (6), Black-and-White Fallacy (5) |
| Crowley for Wisconsin | Crowleythe campaign | 9 | 6 of 9 | Loaded Language (6), Name Calling (5), Appeal to Fear (4) |
| Forward Solutions LLC | — | 6 | 4 of 6 | Appeal to Fear (2), Loaded Language (2), Appeal to Prejudice (1) |
| Chamber of Mothers - Wisconsin Chapter | — | 1 | 1 of 1 | Appeal to Prejudice (1) |
| David Crowley for Wisconsin | Crowleythe campaign | 1 | 1 of 1 | Exaggeration/Hyperbole (1), Glittering Generalities (1) |
| DEMOCRATIC PARTY OF WISCONSIN | Crowleythe party's own committee | 1 | 1 of 1 | False Urgency (1), Name Calling (1) |
| Hunter Nation, Inc. | — | 1 | 0 of 1 | |
| Ray For Wisconsin | — | 1 | 0 of 1 | |
| Tom Tiffany | Tiffanythe campaign | 1 | 1 of 1 | Appeal to Fear (1), Appeal to Prejudice (1), Black-and-White Fallacy (1) |
| Zimmerman for WI | — | 1 | 1 of 1 | Appeal to Prejudice (1), Black-and-White Fallacy (1), Card Stacking (1) |
How a group is placed: by its own filings with the Federal Election Commission. A group is with a candidate when it reported spending to support that candidate, or to oppose the other one in the general election. The parties' own committees are with their nominee. Spending against a candidate in a primary places a group nowhere, and neither does our reading of its ads: a group with no such filing is listed as not placed. The sponsor table gives the reason for each.
Decide what counts
Not everyone would call every technique manipulation. Untick the ones you'd call ordinary persuasion and the count updates.
76% of the 51 ads here use at least one of the techniques ticked below (39 ads).
- Words picked for the feeling, not the facts. More on loaded language, with examples →
- A label in place of an argument. More on name calling, with examples →
- Making you afraid so you stop weighing the facts. More on appeal to fear, with examples →
- Playing on dislike of a group. More on appeal to prejudice, with examples →
- Only two choices when there are more. More on black-and-white fallacy, with examples →
- Blaming one group for a complex problem. More on scapegoating, with examples →
- Pressure to act before you think. More on false urgency, with examples →
- Only the facts that help one side. More on card stacking, with examples →
- Feel-good words with no concrete meaning. More on glittering generalities, with examples →
- Hinting at a hidden plot without evidence. More on conspiracy appeal, with examples →
- Blowing something up past what is true. More on exaggeration/hyperbole, with examples →
- Saying it again until it sticks. More on repetition, with examples →
- Borrowing a symbol's feeling for an unrelated claim. More on transfer, with examples →
Leaving out the softer ones (loaded language, glittering generalities, slogans, exaggeration, repetition): 69% of ads.
The words doing the work
The words that show up most in phrases our model flagged as loaded language or name calling in this race's ads, by number of ads.
- illegal immigrant in 6 ads · e.g. “illegal immigrants”, “bragged about being an "accomplice" to illegal immigrants”
- accomplice in 5 ads · e.g. “accomplice”, “bragged about being an "accomplice" to illegal immigrants”
- MAGA in 5 ads · e.g. “MAGA billionaires”, “MAGA Republicans”
- money in 5 ads · e.g. “dark money groups”, “hard-earned money”
- sanctuary in 4 ads · e.g. “sanctuary state”, “California-style sanctuary policies”
- afford in 3 ads · e.g. “Wisconsin can't afford David Crowley as governor”, “can't afford”
- agenda in 3 ads · e.g. “David Crowley's tax-and-spend agenda”, “tax-and-spend agenda”
- buy in 3 ads · e.g. “buy this election”, “buy Wisconsin”
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Money in this race
Candidates for governor report their fundraising to Wisconsin's state campaign-finance office, not the FEC. This page doesn't cover those reports yet, so it shows no money figures.
The ads
51 ads, newest first. Video transcripts are shown as the model read them, without caption cues like [music].
Showing the 1 ad paid for by Ray For Wisconsin. Show all 51 ads
Follow Tom Tiffany vs. David Crowley
An email when new ads come in from either side or the outside groups: the techniques, the words doing the work, and who paid. And each debate's analysis the morning after. One-click unsubscribe.
Semblen LLC · 5900 Balcones Drive STE 100, Austin, TX 78731
What this page is
- An ad is on this page because its own "Paid for by" line is a campaign in this race; or it ran mostly in WI and names a nominee for governor — unless its sponsor is a campaign for some other office (a U.S. Senate or House campaign included), or it also names WI's Senate nominees, in which case it is on the Senate race's page. Ads from outside groups appear alongside the campaigns' own.
- The candidates are the ones certified for the November ballot, from the source linked at the top. Governors are state offices, so there are no FEC filings behind this page: no money figures, and outside groups are placed on a side only when they are a campaign or a party committee.
- Campaigns run one text as many separate ads. Identical text from the same sponsor is one card here, marked with its number of variants.
- A technique is a specific manipulative move in the wording, found by our model and explained in one line. It is not a claim that the ad is false.
- Claims are checked when a reader asks: press "Check this ad's claims" on a card. The check runs once and its result is shown to everyone afterwards. The ten ads with the most money behind them in each race are checked ahead of time.
- Claim verdicts say what the cited sources say. A verdict that an ad is wrong or misleading is shown only when it cites an established fact-checker or an institutional record — Congress, a federal agency, a court — and its confidence is not low; a weaker one is not shown at all. Each verdict shows what it rests on and how confident it is. If we got one wrong, press Disagree: a verdict that readers dispute and no one defends comes down.
- Video ads come from the campaigns' own YouTube channels; the transcript is analyzed. Meta ads are analyzed on their text; their video and images are not, yet.