Allen Waters US Inactive
THE WATERS COMMITTEE
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Provisional Death Counts for Coronavirus Disease (COVID-19):
National Center for Health Statistics
Ad copy
Stop Governor Gina Raimondo. #ReopenRI The provisional counts for coronavirus disease (COVID-19) deaths are based on a current flow of mortality data in the National Vital Statistics System.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 0.3 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 2 (2020-05-02 → 2020-05-04) |
| Created | 2020-05-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | RI — Allen Waters |
| Surfaced by | “senate:Allen Waters” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice blocking the original ad due to policy violation |
| Tactic | The ad leverages official CDC COVID death count data to stoke fear and urgency, framing Governor Raimondo as responsible for ongoing harm and demanding reopening — a classic fear-based attack using government statistics as borrowed credibility. |
Where it ran (delivery by region)
| Rhode Island | 100.0% |
Who saw it (delivery)
| 25-34 · male | 7.1% |
| 65+ · male | 2.0% |
| 18-24 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.4% |
| 65+ · unknown | 0.2% |
| 55-64 · male | 4.9% |
| 18-24 · male | 1.7% |
| 65+ · female | 7.1% |
| 55-64 · female | 13.6% |
| 35-44 · female | 14.9% |
| 18-24 · female | 3.3% |
| 45-54 · male | 7.9% |
| 35-44 · male | 8.5% |
| 45-54 · female | 15.1% |
| 25-34 · female | 12.5% |
| 25-34 · unknown | 0.2% |
