70
Bernard Sanders
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: 10 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 0 x 0.4
- Never delivered: 1 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 11
- Confidence: 48%
- Current claim count: 12
- Current evidence count: 81
Office History
-
U.S. Senator
Vermont · current
Won the 2006 Vermont U.S. Senate election and was re-elected in 2012, 2018, and 2024; current term began after the 2024 election. -
U.S. Senator
Vermont · current
Historical elected offices still need research. -
Candidate for President
United States Democratic presidential nomination
Unsuccessful campaign for the 2020 Democratic nomination for President of the United States. -
Candidate for President
United States Democratic presidential nomination
Unsuccessful campaign for the 2016 Democratic nomination for President of the United States. -
U.S. Representative
Vermont at-large congressional district
Elected in 1990 and re-elected through the 2004 House cycle; grouped as one federal elected office span rather than listing each House re-election separately. -
Candidate for U.S. Representative
Vermont at-large congressional district
Unsuccessful 1988 independent campaign for Vermont's at-large U.S. House seat; FEC profile confirms House candidacy cycles including 1988. -
Candidate for U.S. Senator
Vermont
Unsuccessful federal campaign for Vermont's Class 3 U.S. Senate seat. -
Candidate for U.S. Senator
Vermont special election
Unsuccessful federal campaign for the remainder of Vermont's Class 1 U.S. Senate term.
- Call for hearings with the CEOs of the nation’s largest health insurance companies to address problems in the health care system.
- Introduce and support legislation to require owners of professional sports teams to give local communities the chance to buy teams at a fair price before relocating them.
- Introduce and support federal legislation to impose an immediate moratorium on AI data centers until strong national safeguards are in place to ensure AI is safe and effective, economic gains benefit workers, and AI does not harm communities or the environment.
- Ban U.S. exports of AI computing infrastructure to countries that do not have safeguards to ensure AI is safe, effective, protects workers, and does not harm the environment.
- File or support joint resolutions of disapproval to block the sale of offensive U.S. weaponry to Israel.
- Introduce and support legislation to comprehensively reform the Occupational Safety and Health Act and update workplace safety laws.
- Introduce and support federal legislation to ban Super PACs and prohibit wealthy individuals and organizations from using Super PACs to influence federal elections.
- Vote no on the National Defense Authorization Act (NDAA) that would approve roughly $900 billion for the Defense Department (nearly $1 trillion including nuclear and emergency defense spending).
- As Chair of the Senate HELP Committee, hold and lead a committee hearing examining what the FDA is doing to address the diabetes and obesity epidemics and the role of the food and beverage industry.
- Introduce the American A.I. Sovereign Wealth Fund Act to give the public a direct ownership stake in the largest A.I. companies through a sovereign wealth fund funded by a one-time 50 percent tax on company stock.
- Call for a public Senate HELP Committee hearing with Jeff Bezos on the impact of artificial intelligence and robotics on workers.
- Hold the Fighting Oligarchy Tour over the coming weeks, traveling across America to hold discussions about how to take on oligarchs and corporate interests.
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.