42

Jason Crow

U.S. Representative, Colorado 6th District · Colorado · 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: 6 x 1.0
  • Delivered in a later elected term: 0 x 0.8
  • Partial delivery: 9 x 0.4
  • Never delivered: 10 x 0.0
  • Disputed claims tracked separately: 0
  • Reviewed promises in current record: 25
  • Confidence: 68%
  • Current claim count: 27
  • Current evidence count: 156

Open claims and evidence

Office History

  • Candidate for U.S. Representative
    Colorado 6th congressional district · current
    Current federal House reelection campaign for the 2026 cycle; the general election had not occurred as of 2026-07-01.
  • U.S. Representative
    Colorado 6th congressional district · current
    Continuous federal elected service beginning January 3, 2019. Elected in 2018 and reelected in 2020, 2022, and 2024; no separate federal elected office found.
  • U.S. Representative
    Colorado 6th · current
    Historical elected offices still need research.
  • Candidate for U.S. Representative
    Colorado 6th congressional district
    Federal House reelection campaign; Crow won the 2024 general election for Colorado's 6th congressional district.
  • Candidate for U.S. Representative
    Colorado 6th congressional district
    Federal House reelection campaign; Crow won the 2022 general election for Colorado's 6th congressional district.
  • Candidate for U.S. Representative
    Colorado 6th congressional district
    Federal House reelection campaign; Crow won the 2020 general election for Colorado's 6th congressional district.
  • Candidate for U.S. Representative
    Colorado 6th congressional district
    Federal House campaign; Crow won the 2018 general election for Colorado's 6th congressional district.

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.