49
Nydia M. Velázquez
Serving in office
Scheduled research active
Main board
The signal is improving, but the lifetime record is still thin.
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: 3 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 3 x 0.4
- Never delivered: 3 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 9
- Confidence: 43%
- Current claim count: 11
- Current evidence count: 28
Office History
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U.S. Representative
New York 7th · current
Historical elected offices still need research.
- Support bold, meaningful action to address climate change and protect the environment.
- Foster principled investments that eliminate the technological divide and improve quality of life for communities.
- Support a reliable and affordable universal healthcare system.
- Ensure that New York City residents have affordable and accessible housing options.
- Support efforts to establish a living wage and strengthen the Earned Income Tax Credit.
- Support giving workers leverage to negotiate fair wages, health insurance, and safe workplace conditions.
- Join with local communities to reclaim and restore environmentally damaged areas.
- Work to secure additional funds for flood protection and storm resiliency projects.
- Support small businesses by limiting the impact of rising energy costs and regulatory and tax burdens, improving access to financing, training, global markets, and affordable health insurance, and providing entrepreneurs the tools they need to succeed.
- Introduce legislation to award a Congressional Gold Medal to Rabbi Michoel Ber Weissmandl.
- Reintroduce and support legislation to establish a bipartisan U.S. Commission on Hate Crimes and require a GAO audit of federal hate crime data collection.
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.