46
Michael Cloud
Serving in office
Scheduled research active
Main board
The signal is improving, but the lifetime record is still thin.
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: 4 x 0.4
- Never delivered: 3 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 9
- Confidence: 43%
- Current claim count: 12
- Current evidence count: 23
Office History
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U.S. Representative
Texas 27th · current
Historical elected offices still need research.
- Complete the border wall, particularly in the Rio Grande Valley.
- Congress should cut cane along the Rio Grande to help CBP prevent cartels from hiding.
- Congress should designate certain cartels as Foreign Terrorist Organizations.
- Congress should increase the number of CBP personnel on the border.
- Texas should increase the number of Department of Public Safety personnel on the border.
- Work to ensure each child is given the opportunity to experience the most basic of rights: the right to life.
- Do everything in his power to make abortion as rare as possible, with the goal of making it illegal to destroy human life.
- Ensure veterans have access to quality health care and education.
- Support House rules that ban members of Congress, their families, and congressional staff from trading individual stocks and participating in prediction markets.
- Prohibit companies from collecting, requiring surrender of, or selling private user data without consent, and limit data collection to what is reasonably necessary to provide the requested service.
- Permanently ban the Federal Reserve from creating a central bank digital currency.
- Protect the right to keep and bear arms.
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.