47
Daniel S. Goldman
Serving in office
Scheduled research active
Main board
Too little promise evidence has been reviewed. Treat this score as provisional.
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: 1 x 0.4
- Never delivered: 3 x 0.0
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 6
- Confidence: 33%
- Current claim count: 8
- Current evidence count: 22
Office History
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U.S. Representative
New York 10th · current
Historical elected offices still need research.
- If Democrats take back the House, Dan Goldman will lead the push to expand first-time homebuyer credits to make affording a home easier.
- If Democrats take back the House, Dan Goldman will lead the push to invest in New York City Housing Authority communities and redevelop existing public housing supply.
- If Democrats take back the House, Dan Goldman will lead the push to lower renters' costs by cracking down on junk fees and predatory practices.
- Dan Goldman will work to incentivize private companies to invest in renewable energy and encourage community and public power production.
- Dan Goldman will work with local and federal officials to ensure the East Side Coastal Resiliency Plan meets the community's environmental resiliency needs and protects lower Manhattan residents.
- Dan Goldman will pursue legislation to provide $10 billion in federal funding annually for 10 years for afterschool and summer learning programs.
- Dan Goldman will require food delivery apps to disclose all fees and service charges before checkout and ban surveillance pricing.
- Dan Goldman will forcefully oppose any attempts to preempt New York's Climate Change Superfund Act.
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.