49
William R. Keating
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: 2 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 2 x 0.4
- Never delivered: 2 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 6
- Confidence: 33%
- Current claim count: 13
- Current evidence count: 17
Office History
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U.S. Representative
Massachusetts 9th · current
Historical elected offices still need research.
- Protect the diverse ecosystems of Massachusetts's Ninth Congressional District and permanently address key sources of pollution.
- Oppose offshore drilling and support legislative initiatives that prepare government and private industry for future environmental disasters.
- Support raising the liability cap on oil companies so taxpayers are not left paying for environmental disasters.
- Continue fighting for funding to preserve coastal conservation programs and protect coastal and marine habitats.
- Support funding to research and combat the causes and consequences of harmful algal blooms and hypoxia.
- Require dangerous radioactive waste at nuclear plants to be promptly moved into dry cask storage units to improve safety.
- Work to make life more affordable for working people by lowering costs and supporting working families.
- Advocate for more affordable and accessible healthcare for everyone.
- Establish a Department of State program to oversee and promote the responsible use of small modular reactor technology.
- Terminate Russia-related general licenses for the sale of Russian oil.
- Impose sanctions on Russian oil companies.
- Require reports on Russian oil revenues and Russian energy companies' involvement in the abduction, deportation, or indoctrination of Ukrainian civilians, including children.
- Establish an offshore wind career training grant program.
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.