52
John Fetterman
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: 2 x 0.4
- Never delivered: 0 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 3
- Confidence: 20%
- Current claim count: 4
- Current evidence count: 27
Office History
-
U.S. Senator
Pennsylvania · current
Historical elected offices still need research.
- Support and work to pass the Railway Safety Act of 2026 to enhance rail safety by improving hazardous materials oversight, strengthening emergency response support, raising overall rail safety standards, mandating defect detection technology and hotbox detectors, expanding hazardous materials subject to higher standards, improving emergency notification and plans, requiring proper railcar maintenance and inspection, increasing civil penalties for safety violations, requiring two-person train crews, and ensuring compensation and equipment for firefighters and first responders.
- Reintroduce and work to pass the Food and Nutrition Delivery Safety Act to require SNAP-authorized retailers to treat delivery drivers fairly, pay good wages, ensure the safe delivery of SNAP groceries, and protect SNAP users’ online data.
- Work to allow Puerto Rico to fully participate in the Supplemental Nutrition Assistance Program (SNAP) by supporting and introducing related legislation.
- Work to pass the Railway Accountability Act to improve rail safety with provisions including increased study and mitigation of broken rim derailments, enhanced train consist management, stricter brake inspection protocols, increased transparency of safety waivers, improved emergency brake signal systems, mandatory participation in close call safety reporting for major railroads with significant violations, and required provision of warning equipment to rail employees.
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.