John Cornyn US Inactive
TEXANS FOR SENATOR JOHN CORNYN INC.
The Crook And The Fool
Ken Paxton sides with Tucker Carlson over MAGA
Ad copy
While President Trump and MAGA stand firmly with Israel and fight to end Iranian terrorism, Ken Paxton is siding with Tucker Carlson, the same man President Trump called a low-IQ fool. Paxton accepts Carlson's endorsement while turning his back on the President. The crook and the fool stand for nothing.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.9/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 83.1 · 0.8 · 64.8 |
| Spend range | USD 2,500–2,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 14.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2026-04-10 → 2026-04-14) |
| Created | 2026-04-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — John Cornyn |
| Surfaced by | “senate:John Cornyn” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | learn more |
| Standout element | Dark video thumbnail with bold 'The Crook And The Fool' headline anchoring the attack |
| Tactic | The ad weaponizes Trump's own insult against Tucker Carlson to paint Paxton as both disloyal to the MAGA base and aligned with a man Trump himself dismissed, creating a double-disloyalty attack. |
Where it ran (delivery by region)
| Texas | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 5.4% |
| 65+ · male | 26.4% |
| 65+ · female | 30.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.3% |
| 55-64 · female | 10.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.3% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 4.1% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 2.4% |
| 25-34 · female | 1.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
