33

Ayanna Pressley

U.S. Representative, Massachusetts 7th District · Massachusetts · 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: 2 x 1.0
  • Delivered in a later elected term: 0 x 0.8
  • Partial delivery: 11 x 0.4
  • Never delivered: 13 x 0.0
  • Disputed claims tracked separately: 0
  • Reviewed promises in current record: 26
  • Confidence: 68%
  • Current claim count: 29
  • Current evidence count: 197

Open claims and evidence

Office History

  • Candidate for U.S. Representative
    Massachusetts 7th Congressional District · current
    Current 2026 federal campaign for re-election to the U.S. House; included as an office sought, not as an elected term.
  • U.S. Representative
    Massachusetts 7th Congressional District · current
    Only federal elected office found. Pressley first took office January 3, 2019 and continues to serve MA-07.
  • U.S. Representative
    Massachusetts 7th · current
    Historical elected offices still need research.
  • Candidate for U.S. Representative
    Massachusetts 7th Congressional District
    Won re-election to the 119th Congress from MA-07; official Clerk totals list no Republican nominee in the district.
  • Candidate for U.S. Representative
    Massachusetts 7th Congressional District
    Won re-election to the 118th Congress from MA-07.
  • Candidate for U.S. Representative
    Massachusetts 7th Congressional District
    Won re-election to the 117th Congress from MA-07.
  • Candidate for U.S. Representative
    Massachusetts 7th Congressional District
    Won the 2018 general election for MA-07 after defeating incumbent Michael Capuano in the Democratic primary.

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.