I’m a finance professional with a background in data science and cybersecurity. Over the past two weeks I built a 6.9GB forensic database from 1,476,377 DOJ EFTA files across 19 datasets \u2014 then ran a 24-phase extraction pipeline to trace wire transfers through the Epstein trust network.<\/p>\n
Key results:<\/p>\n
\u2022 $1.964B in financial activity extracted (104.6% of the $1.878B FinCEN SAR benchmark)<\/p>\n
\u2022 382 audited wire transfers in the master ledger<\/p>\n
\u2022 4-tier shell trust hierarchy mapped with dollar flows on every edge<\/p>\n
\u2022 43 shell-to-shell transfers identified<\/p>\n
\u2022 9 contamination bugs caught and corrected during the pipeline (including $311M in chain-hop inflation I subtracted from my own numbers)<\/p>\n
\u2022 11.4 million entities extracted, 734K unique persons identified<\/p>\n
I traced $51.9M flowing through a brokerage shell (Jeepers Inc.) into Epstein’s personal account across 21 wires. I found Plan D LLC disbursing $18M to Leon Black with near-zero inflow. I found an entity called “Gratitude America” sending 88% of its money to investment accounts and 7% to charity.<\/p>\n
Everything is (Unverified) \u2014 automated extraction, not an audit opinion. I documented every limitation, every bug, and every methodological decision. The methodology, findings, compliance statement, and a 382-wire master ledger are all published.<\/p>\n
To my knowledge, this is the first project to systematically reconstruct the financial infrastructure from the EFTA corpus using quantitative forensic methods rather than narrative document review.<\/p>\n
GitHub: <\/p>\n
https:\/\/github.com\/randallscott25-star\/epstein-forensic-finance<\/a><\/p>\n Built solo. For the girls.<\/p>\n<\/div>\n submitted by \/u\/Specialist_Rip5492 <\/a>
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