36
Salud O. Carbajal
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: 1 x 0.4
- Never delivered: 5 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 6
- Confidence: 33%
- Current claim count: 8
- Current evidence count: 26
Office History
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U.S. Representative
California 24th · current
Historical elected offices still need research.
- Support legislation to formalize Congress's role in the 25th Amendment process and create clearer pathways to address an unstable or incapacitated president.
- Provide more federal support for transportation infrastructure in medium-sized cities by creating a new Medium Transit Intensive Cities (MTIC) category within the Section 5307 transit-funding program.
- Prohibit additional taxpayer funds for military action against Iran absent an AUMF or formal declaration of war.
- Create a nonpartisan commission to study natural disaster insurance affordability and report policy recommendations to Congress within two years.
- Secure federal funding for harbor improvements and dredging projects to keep Santa Barbara Harbor safe and navigable.
- Create a federal program encouraging commercial shipping companies operating off the Pacific coast to slow their vessels to protect marine life and cut air pollution.
- Unlock federal funding for safe parking programs nationwide to support people experiencing homelessness who live in their vehicles.
- Create a federal pilot program that provides down payment assistance loans to help first-time homebuyers purchase homes.
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.