30
Pramila Jayapal
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: 0 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 0 x 0.4
- Never delivered: 8 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 8
- Confidence: 40%
- Current claim count: 8
- Current evidence count: 59
Office History
-
U.S. Representative
Washington 7th · current
Historical elected offices still need research.
- Pass the Medicare for All Act of 2019.
- Eliminate prior authorization for Medicare Advantage Part A and Part B services unless prior authorization is already required in traditional Medicare.
- Require the U.S. Department of Education, state education agencies, and school districts to collect and report disaggregated AANHPI student data.
- Pass the Ultra-Millionaire Tax Act to apply an annual wealth tax to households and trusts worth more than $50 million, with an additional surtax on wealth above $1 billion.
- Co-lead the Double the Wage for Overtime Act to require employers to pay double a worker's wage for every overtime hour worked over 40 hours per week.
- Require DHS to immediately withdraw funding from immigration detention centers that consistently fail to meet minimum required standards for housing immigrant detainees.
- Require immigration detention facilities that remain open to take immediate corrective action and subject for-profit prison operators to serious oversight.
- Pass the Dignity for Detained Immigrants Act to end private for-profit immigration detention centers, end mandatory detention, update and implement robust minimum care requirements, and conduct urgent oversight of facilities.
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.