43
David J. Taylor
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: 10
- Current evidence count: 21
Office History
-
U.S. Representative
Ohio 2nd · current
Historical elected offices still need research.
- Author legislation that requires Congress to balance the budget before members are paid and to spend only within the means of the country.
- Oppose unnecessary cryptocurrency regulations and support a clear regulatory framework for the industry.
- Fight to secure the border by finishing President Trump’s wall, increasing funding and resources for Border Patrol, deploying military personnel when necessary, and prosecuting criminals and cartels.
- Vote to protect the Second Amendment right to bear arms.
- Defund and dismantle the Department of Education, restore parental rights, and expand school choice.
- Work to protect girls’ sports.
- Take action to stop inflation.
- Introduce and support legislation that requires federal and state reporting on non-domiciled CDL holders, uses immigration verification to confirm lawful presence, and helps remove unlawful drivers from American roads.
- Introduce and support legislation that prevents HUD from using disparate impact in housing regulation and reduces unnecessary regulatory burdens on housing providers.
- Introduce and support legislation that makes defrauding the federal government or stealing taxpayer-funded benefits a deportable and inadmissible offense for illegal aliens.
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.