49
Christopher R. Deluzio
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: 2 x 0.4
- Never delivered: 3 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 8
- Confidence: 40%
- Current claim count: 11
- Current evidence count: 30
Office History
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U.S. Representative
Pennsylvania 17th · current
Historical elected offices still need research.
- Strengthen congressional ethics, increase transparency, and fight corruption and big money in politics through campaign finance reform.
- Fight for policies that put the common good first and support shared prosperity.
- Invest in the region's infrastructure.
- Support unions in pushing back against powerful corporations on equal terms.
- Work to ensure good, solid jobs.
- Protect Social Security and veterans' benefits.
- Block additional public funding for military action against Iran without congressional authorization.
- Invest more in childcare and early learning programs for kids and families at home to tackle America's childcare crisis.
- Support legislation to address the cost-of-living emergency by lowering essential costs for American families and cracking down on price gouging and other abusive pricing practices.
- Ban private equity from youth sports and stop abusive pricing practices through the Let Kids Play Act.
- Continue to monitor federal grant freezes and fight to ensure Western Pennsylvania receives lawfully appropriated funds.
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.