43
Steny H. Hoyer
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: 3 x 0.4
- Never delivered: 3 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 7
- Confidence: 37%
- Current claim count: 12
- Current evidence count: 18
Office History
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U.S. Representative
Maryland 5th · current
Historical elected offices still need research.
- Will continue working until women everywhere can have safe and equitable access to reproductive health care and the autonomy to decide what is right for them.
- Will keep fighting for expanded contracting opportunities for disadvantaged communities, minorities, and women.
- Will take additional steps to ensure equal pay for equal work and close the gender pay gap.
- Will keep fighting for fair compensation and earned benefits for federal employees.
- Will work to reduce carbon pollution, advance renewable energy technologies, and improve energy efficiency.
- Will continue championing legislation to curb carbon emissions from deforestation and help end deforestation by 2030.
- Will continue investing in Maryland schools so they remain among the best in the nation.
- Will ensure Maryland students have the education and skills they need for today’s and tomorrow’s jobs.
- Will support initiatives that give HBCUs and minority-serving institutions the resources they need to help students succeed and close the achievement gap.
- Will advocate for Full-Service Community Schools that coordinate education and social services for families.
- Will support fair pay for teachers.
- Will continue supporting investments in education for disadvantaged students and students with disabilities, teacher professional development, and higher Pell Grant awards.
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.