42
Elise M. Stefanik
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: 1 x 0.8
- Partial delivery: 5 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: 10
- Current evidence count: 25
Office History
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U.S. Representative
New York 21st · current
Historical elected offices still need research.
- Work to reform the tax code to lower taxes and create a flatter, fairer system that promotes job creation and economic growth.
- Eliminate red tape to give Upstate businesses certainty so they can create good-paying jobs.
- Never vote for a tax increase.
- Fight back against unnecessary restrictions so district communities and their economies can thrive.
- Continue to fight for funding for northern border infrastructure and staffing to improve border security and U.S.-Canadian commerce.
- Work to pass the Stop the Doxx Act to make doxxing of law enforcement officers, prosecutors, judges, and their families a federal crime with stronger penalties and training to protect personal information online.
- Introduce and work to enact legislation that bans CCP-sponsored companies from U.S. defense contracts and prohibits Chinese nationals from operating trucks carrying Department of War cargo.
- Introduce and work to enact legislation to reauthorize the Lake Champlain Basin Program for five years and add an oversight process to evaluate the program's fiscal agent and transparency.
- Work to enact the End College CCP Act to limit federal funding for higher education institutions that partner with the People’s Republic of China.
- Lead the Go to High School, Go to College Act to extend Pell Grant access to high school students taking college courses.
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.