GovGreed's AI system gave Nancy Pelosi a greediness score of 98 out of 100, with a reported portfolio value of $194 million despite earning a congressional salary.
Snapshot · Mind Pump: Raw Fitness Truth
GovGreed's AI system gave Nancy Pelosi a greediness score of 98 out of 100, with a reported portfolio value of $194 million despite earning a congressional salary.
Where this was said
At 28:36 · chapter starts 25:10
Sal reads from GovGreed's analysis of public congressional disclosure data, which a 7-layer machine learning system cross-referenced against bill committee assignments, campaign donations, and regulatory votes. The results are stark: 56% of all congressional stock purchases over the last 16 months involved companies whose fate the buying politician was about to decide through legislation. [1] — Sal Di Stefano "A platform called GovGreed built a 7-layer machine learning system that cross-referenced every congressional stock trade against the bills …" 25:03 More than 6,000 of 11,000 total purchases qualified, and 343 of 540 sitting Congress members actively traded stocks while in possession of non-public legislative information. Nancy Pelosi's portfolio is cited as the most extreme case — a reported $194 million value on a $174,000 salary, with a GovGreed greediness score of 98 out of 100. The hosts compare it to NBA referees betting on games they officiate, and note the bitter irony that the STOCK Act — the legislation designed to prohibit this — requires a yes vote from the very people making the most money from the current arrangement.
A 7-layer ML system found over 56% of congressional stock purchases were on companies directly affected by legislation the buyer later voted on.
More than 6,000 out of 11,000 total congressional stock purchases were on companies whose fate the same politician was about to decide.
343 out of 540 sitting Congress members actively trade stocks while holding access to non-public legislative information.
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