44
Andrew R. Garbarino
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: 2 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 2 x 0.4
- Never delivered: 4 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 8
- Confidence: 40%
- Current claim count: 10
- Current evidence count: 30
Office History
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U.S. Representative
New York 2nd · current
Historical elected offices still need research.
- Support law enforcement by ensuring police have the resources needed to combat crime and keep communities safe.
- Finish building the border wall, provide more resources to Border Patrol, and keep Title 42 and Remain in Mexico policies in place to secure the border.
- Fight the Biden administration's failed energy policies in Congress.
- Resume domestic energy production and restore American energy independence.
- Ensure every component of DHS, including border security agencies, has the resources and oversight needed to succeed.
- End the diversion of the TSA 9/11 Passenger Security Fee and dedicate those funds to aviation and airport security improvements.
- Help constituents with federal agencies, military academy nominations, and other constituent service requests.
- Expand federal housing assistance eligibility for qualified volunteer emergency responders through the Volunteer First Responder Housing Act.
- Investigate the national security and cybersecurity risks posed by PRC-developed AI models and related U.S. company exposure to those models.
- Establish a Wildlife Confiscations Network by directing the Secretary of the Interior to create 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.