LYNCH FOR SENATE
Lindsey Graham voted again last night to continue Biden-era spending levels. This comes even as we are uncovering massive fraud across the country at every level of government. These budgets were billions of dollars higher per department than what President Trump requested. So much for being a solid ally of the President. Some of the specifics include: - $11.132 billion for the Department of Commerce, which is $2.4 billion more than Trump proposed - $6.171 billion for NOAA, which is $1.67 billion more than Trump proposed - $8.75 billion for NSF, even though Trump proposed a reduction of more than 50 percent due to rampant fraud and abuse I can only hope that after selling out the American people with this vote, Lindsey is on his way back to South Carolina to hear directly from his constituents. Oh, never mind....
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 32.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 1.1 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 5 (2026-01-16 → 2026-01-21) |
| Created | 2026-01-16 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Mark Lynch |
| Surfaced by | “senate:Mark Lynch” |
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | money cash |
| Call to action | none |
| Standout element | Lindsey Graham head-in-hand defeated pose beneath damning news headline |
| Tactic | The ad weaponizes Graham's own perceived betrayal of Trump by pairing a news screenshot with unflattering body language to stoke anger among MAGA-aligned primary voters. |
| Florida | 7.3% |
| Texas | 6.0% |
| California | 5.1% |
| Ohio | 4.8% |
| South Carolina | 4.2% |
| Pennsylvania | 4.2% |
| Michigan | 4.1% |
| 18-24 · female | 0.1% |
| 18-24 · male | 0.1% |
| 25-34 · female | 0.3% |
| 25-34 · male | 0.5% |
| 35-44 · female | 0.5% |
| 35-44 · male | 1.1% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 1.6% |
| 45-54 · male | 3.9% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 9.9% |
| 55-64 · male | 15.9% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 31.3% |
| 65+ · male | 34.2% |
| 65+ · unknown | 0.4% |