36
Thomas P. Tiffany
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: 0 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 2 x 0.4
- Never delivered: 5 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 7
- Confidence: 37%
- Current claim count: 20
- Current evidence count: 22
Office History
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U.S. Representative
Wisconsin 7th · current
Historical elected offices still need research.
- Freeze property taxes in Wisconsin.
- Repeal Governor Evers' 400-year tax increase.
- Drive down energy costs by unleashing reliable baseload power.
- Cut burdensome regulations to make housing, childcare, and healthcare more affordable.
- Give law enforcement the resources they need.
- Ban sanctuary cities in Wisconsin.
- End revolving-door policies that put repeat offenders back on the streets.
- Deliver real results, higher standards, and honest report cards in education.
- Direct education dollars to students, teachers, and local communities instead of the system.
- Hold school leaders accountable.
- Ensure every child has access to a high-quality education.
- Require able-bodied adults without children to work to receive welfare benefits.
- Prevent Wisconsin farmland from falling into the hands of Communist China.
- Give the next generation of Wisconsin farmers the tools and resources they need.
- Protect sportsmen and women from license fee increases.
- Crack down on waste and fraud in Madison.
- Stop Wall Street from buying up homes across Wisconsin.
- Return surplus funds to taxpayers.
- Cut taxes and red tape.
- Stop big data from bulldozing Wisconsin farmland.
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.