Friends of Civil Miller-Watkins, Bethany Miller, Treasurer
The White House quietly told Tennessee early this week that a statewide mask mandate “must be implemented” to curb its growing spread of COVID-19
Leadership is needed. A statewide Covid-19 containment plan. It begins with requiring masks. Our Governor, Ruling Supermajority Republican leadership and the candidates that follow their lead, WILL NOT Act to SAVE Tennesseans. You may have to HOLD YOUR NOSE to vote for me this time but at least your Chances of Being ALIVE will be GREATER... In 4 years you can always change your mind. www.civil4tn.com Wear a mask. 6ft. Wash your hands. Vote For Civil Miller-Watkins TN State Senate Dist 26 #TnTogetherWeWill #Civil4tn #EverydayPeopleEveryday https://abcnews.go.com/Health/wireStory/white-house-tennessee-mask-mandate-implemented-73665758
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 25.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.6 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2020-10-16 → 2020-10-19) |
| Created | 2020-10-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TN — Civil Miller-Watkins |
| Surfaced by | “senate:Civil Miller-Watkins” |
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Ad content removed by Facebook for disclaimer non-compliance, revealing only the meta-structure of a DIY political ad |
| Tactic | The ad uses blunt fear-based language and self-deprecating humor ('hold your nose to vote for me') as an unconventional reverse-psychology persuasion tactic, leaning on survival instinct over candidate appeal. |
| Tennessee | 96.2% |
| Mississippi | 3.8% |
| 18-24 · male | 0.6% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 25-34 · male | 0.9% |
| 65+ · male | 15.7% |
| 65+ · female | 28.5% |
| 35-44 · male | 3.0% |
| 18-24 · female | 0.3% |
| 35-44 · female | 2.8% |
| 55-64 · male | 13.7% |
| 45-54 · male | 7.1% |
| 55-64 · female | 18.9% |
| 45-54 · female | 7.0% |
| 25-34 · female | 0.7% |
| 65+ · unknown | 0.5% |
| 55-64 · unknown | 0.3% |