55
Mike Quigley
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: 4 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 4 x 0.4
- Never delivered: 1 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 9
- Confidence: 43%
- Current claim count: 12
- Current evidence count: 30
Office History
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U.S. Representative
Illinois 5th · current
Historical elected offices still need research.
- Continue working with colleagues to address climate change and dedicate time in Congress to supporting legislation that protects communities and develops strategies to combat environmental threats.
- Continue working toward pragmatic immigration reform that secures the borders and provides a pathway to citizenship for undocumented immigrants.
- Use every available lever to oppose Donald Trump’s actions and resist efforts that expand Elon Musk’s access to sensitive data.
- Ensure effective implementation of the Wall Street Reform and Consumer Protection Act and other reforms.
- Continue advocating for a diplomacy-first foreign policy and ensure U.S. interventions are guided by America’s best interests.
- Ensure every American has access to quality healthcare.
- Support Chicago’s world-class hospital systems and local community health centers.
- Continue fighting for full LGBT equality.
- Continue fighting for a woman’s right to choose.
- Continue fighting for commonsense gun law reforms that will make communities safer.
- Push for strong government transparency and anti-corruption reforms.
- Advance legislation to create the FAST Housing Act, including a federal demonstration program that provides competitive grants to communities to accelerate workforce and affordable housing production.
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.