49
Grace Meng
Serving in office
Scheduled research active
Main board
Too little promise evidence has been reviewed. Treat this score as provisional.
This profile keeps a lifetime office and promise record. The trust score is designed to stay close to 50 until enough claims and evidence are reviewed.
Breakdown
- Delivered during the term promised: 1 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 6 x 0.4
- Never delivered: 0 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 7
- Confidence: 37%
- Current claim count: 14
- Current evidence count: 25
Office History
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U.S. Representative
New York 6th · current
Historical elected offices still need research.
- Fight to ensure Queens working- and middle-class families have access to affordable healthcare, good jobs, and schools safe from gun violence.
- Continue opposing any efforts to undermine Social Security and Medicare.
- Support small businesses, create high-quality good-paying jobs, and back a $15 minimum wage and stronger worker protections.
- Keep fighting to make health care more accessible and affordable for everyone.
- Remain committed to working with the United States Postal Service to safeguard mail and stop identity and financial fraud.
- Fight for equal rights and protections for all.
- Create new jobs in Queens.
- Pursue tax fairness.
- Improve public safety in New York City.
- Support high-quality, affordable education.
- Provide immediate federal aid to hire more teachers, police officers, and firefighters.
- Allow immigrants to complete required ICE check-ins virtually instead of in person.
- Support the Language Access Board Act of 2026 to establish federal language access standards and protect translation services for people with limited English proficiency.
- Work to reverse the expanded Global Gag Rule by supporting legislation that nullifies it.
Method note
Long term, this app should score against a manually reviewed promise ledger that spans every elected office the candidate has held. The current model uses a Bayesian-style shrinkage step: thin records are pulled back toward 50 so the UI does not overstate certainty.
Claim occurrences, evidence, and future AI adjudications are all designed to store provider and model provenance. Formula version: 0.1.0.