36
Adriano Espaillat
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: 0 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 4 x 0.4
- Never delivered: 5 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 9
- Confidence: 43%
- Current claim count: 11
- Current evidence count: 25
Office History
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U.S. Representative
New York 13th · current
Historical elected offices still need research.
- Support policies and increase research and investment funding for energy efficiency, alternative and renewable energy sources, and reducing greenhouse gas emissions.
- Increase the federal minimum wage to a living wage.
- Introduce the Stop Gentrification in Low-Income Neighborhoods Act to give low-income tenants a right of first refusal, require community impact studies for development, and provide relocation assistance.
- Bring affordable housing funding to the forefront of legislative issues.
- Protect renters' rights and support appropriate federal capital funding for public housing.
- Ensure the public health and environmental sustainability of homes and public housing.
- Continue to upgrade and maintain American infrastructure.
- Introduce and support legislation to create a dedicated federal funding stream for public transit resilience improvements, including an additional $300 million in FY2026 mass transit funding for resilience improvement grants.
- Fight to ensure Dreamers receive permanent status and a pathway to citizenship.
- Work with President Biden and colleagues to protect DACA and support immigrant youth with opportunities and support.
- Conduct congressional oversight of the Delaney Hall Detention Facility and assess the welfare and due process of detainees.
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.