54
James R. Baird
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: 0 x 0.4
- Failed by documented deadline: 0 x 0.0
- Excluded from denominator: pending 4, unverified 4, timing unknown 0.
- Historical coverage: not established.
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 1
- Confidence: 8%
- Current claim count: 9
- Current evidence count: 62
Office History
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U.S. Representative
Indiana 4th · current
Historical elected offices still need research.
- Require Foreign Service officers to receive STEM training during A-100 orientation before being stationed abroad.
- Establish at least two bioindustrial scale-up facilities in the United States to accelerate emerging bioindustrial technologies.
- Reform the export controls process to strengthen national security by increasing interagency collaboration and requiring broader departmental agreement before new export control rules are finalized.
- Support year-round nationwide E-15 availability.
- Continue to stand with ICE and CBP officers to help secure the border and keep Indiana safe.
- Continue working with colleagues to end waste, fraud, and abuse in federal programs and protect the integrity of Hoosiers' tax dollars.
- Expand funding prohibitions to prevent U.S. taxpayer dollars from going to United Nations organizations that give the Palestinian Authority or Palestine Liberation Organization status, rights, or privileges beyond observer status.
- Eliminate passport book fees for Purple Heart and Medal of Honor recipients.
- Secure U.S. global leadership in small modular reactor technology and codify the State Department’s FIRST program for safe nuclear energy infrastructure partnerships.
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: 0.2.0.