49

Debbie Dingell

U.S. Representative, Michigan 6th District · Michigan · Democratic · Roster snapshot 2026-04-22
Serving in office Scheduled research active Main board

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: 9 x 1.0
  • Delivered in a later elected term: 3 x 0.8
  • Partial delivery: 15 x 0.4
  • Never delivered: 9 x 0.0
  • Disputed claims tracked separately: 0
  • Reviewed promises in current record: 36
  • Confidence: 75%
  • Current claim count: 54
  • Current evidence count: 181

Open claims and evidence

Office History

  • U.S. Representative
    Michigan 6th District · current
    Current federal elected office as of 2026-07-03.
  • U.S. Representative
    Michigan 6th · current
    Historical elected offices still need research.
  • Candidate for U.S. Representative
    Michigan 6th District
    Active 2026 federal House campaign as of 2026-07-03; election not yet completed.
  • Candidate for U.S. Representative
    Michigan 6th District
    Successful reelection campaign for the 119th Congress.
  • Candidate for U.S. Representative
    Michigan 6th District
    Successful campaign in newly drawn 6th District for the 118th Congress.
  • Candidate for U.S. Representative
    Michigan 12th District
    Successful reelection campaign for the 117th Congress.
  • Candidate for U.S. Representative
    Michigan 12th District
    Successful reelection campaign for the 116th Congress.
  • Candidate for U.S. Representative
    Michigan 12th District
    Successful reelection campaign for the 115th Congress.
  • U.S. Representative
    Michigan 12th District
    Federal elected office only; district changed after redistricting at the start of the 118th Congress.
  • Candidate for U.S. Representative
    Michigan 12th District
    Successful general-election campaign for the 114th Congress.

Claims

Open full claims and evidence page

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.