43

Jack Bergman

U.S. Representative, Michigan 1st District · Michigan · Republican · Roster snapshot 2026-04-22
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: 6 x 0.4
  • Never delivered: 4 x 0.0
  • Disputed claims tracked separately: 0
  • Reviewed promises in current record: 12
  • Confidence: 50%
  • Current claim count: 12
  • Current evidence count: 115

Open claims and evidence

Office History

  • Candidate for U.S. Representative
    Michigan 1st Congressional District · current
    Active reelection campaign for the 2026 U.S. House election; election pending as of 2026-07-03.
  • U.S. Representative
    Michigan 1st Congressional District · current
    Only federal elected office found; Congress.gov lists continuous House service from the 115th through 119th Congresses.
  • U.S. Representative
    Michigan 1st · current
    Historical elected offices still need research.
  • Candidate for U.S. Representative
    Michigan 1st Congressional District
    Sought and won reelection to the U.S. House.
  • Candidate for U.S. Representative
    Michigan 1st Congressional District
    Sought and won reelection to the U.S. House after redistricting for the 2022 cycle.
  • Candidate for U.S. Representative
    Michigan 1st Congressional District
    Sought and won reelection to the U.S. House.
  • Candidate for U.S. Representative
    Michigan 1st Congressional District
    Sought and won reelection to the U.S. House.
  • Candidate for U.S. Representative
    Michigan 1st Congressional District
    Sought and won the open U.S. House seat in 2016; seated January 3, 2017.

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.