WADLIN FOR SENATE 2026
No endless wars. Especially not ones that just get us back to where we were with the Oman-brokered deal before the bombing started. And especially not ones that were precipitated by Cotton himself, thanks to his scrapping the JCPOA (which - while not perfect -was keeping Iran's nuclear program constrained using inspectors), & replacing it with no other agreement - only sanctions, which were clearly ineffective, considering Iran then began enriching uranium again. No wars that cost billions or trillions & have no definition of winning, & accomplish nothing. No wars that disrupt global supply chains & spike inflation. No wars that pile debt on our kids & grandkids. www.JeffWadlin.com
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| Overall score | 44.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 78.0 · 3.3 · 76.4 |
| Spend range | USD 300–399 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 3.11 |
| Est. audience size | — |
| Days live | 13 (2026-06-04 → 2026-06-17) |
| Created | 2026-06-04 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | AR — Jeff Wadlin |
| Surfaced by | “senate:Jeff Wadlin” |
| Issue | foreign policy defense |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Massive distressed white-on-black typography spelling 'No war with IRAQ' dominates the entire frame with smoky ominous clouds above |
| Tactic | The ad uses stark, high-contrast fear-appeal typography and blames opponent Tom Cotton for precipitating conflict by scrapping the JCPOA, positioning Wadlin as the anti-war alternative. |
| Arkansas | 100.0% |
| 18-24 · female | 17.6% |
| 45-54 · unknown | 0.1% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.1% |
| 65+ · male | 4.4% |
| 65+ · female | 1.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.5% |
| 55-64 · female | 1.5% |
| 45-54 · male | 5.1% |
| 18-24 · male | 28.3% |
| 45-54 · female | 1.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.2% |
| 35-44 · female | 2.4% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 16.2% |
| 25-34 · female | 7.3% |
| 18-24 · unknown | 0.9% |
| Unknown · unknown | 0.0% |