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 — then ran a 24-phase extraction pipeline to trace wire transfers through the Epstein trust network.
Key results:
• $1.964B in financial activity extracted (104.6% of the $1.878B FinCEN SAR benchmark)
• 382 audited wire transfers in the master ledger
• 4-tier shell trust hierarchy mapped with dollar flows on every edge
• 43 shell-to-shell transfers identified
• 9 contamination bugs caught and corrected during the pipeline (including $311M in chain-hop inflation I subtracted from my own numbers)
• 11.4 million entities extracted, 734K unique persons identified
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.
Everything is (Unverified) — 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.
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.
GitHub:
https://github.com/randallscott25-star/epstein-forensic-finance
Built solo. For the girls.
submitted by /u/Specialist_Rip5492
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