TLDR
The institutional forensics script's accountability matrix assigns risk-adjusted complicity tiers to every entity in the Epstein network using but-for causation chains (a legal test asking: would this outcome have happened but for this person's actions?), quantifying each participant's structural indispensability. Darren Indyke and Richard Kahn appear in more causal chains than any other non-Epstein entities, reflecting their roles as officers and signers across 10 or more corporate entities (PAPER TRAIL Project, 2026).
What But-For Causation Means
Criminal law has a concept called but-for causation: but for the defendant's action, the harm would not have occurred. It is the baseline test for whether someone's participation mattered. The accountability matrix applies this logic computationally. For every entity in the Epstein network, it asks: which operations would have been impossible without this entity's participation? (PAPER TRAIL Project, 2026).
The answer is not a simple binary. The matrix assigns risk-adjusted complicity tiers, meaning entities are scored not just by whether they participated, but by the degree to which their role enabled outcomes that could not have happened otherwise. A corporate registered agent who filed paperwork occupies a different tier than the attorney who controlled the Interest on Lawyer Account (IOLA) that processed $14.66 million.
Six Modules, One Matrix
The accountability matrix does not operate in isolation. It sits atop five other analytical modules within the institutional forensics script, each contributing a different dimension of evidence (PAPER TRAIL Project, 2026).
The willful blindness module identifies linguistic markers of institutional knowledge avoidance across 2.1 million documents. The ownership graph maps 33 static corporate edges (verified relationships like officer appointments) plus dynamic wire flow connections. The compliance timeline reconstructs the sequence of regulatory failures. The spoliation module (spoliation means the destruction or concealment of evidence) applies German Tank Problem statistics (a method for estimating the total number of items from serial numbers of observed samples) and Poisson gap analysis to detect missing documents. The Granger causality module (a statistical test that checks whether one type of event reliably happens before another) tests whether entity formation dates precede wire transfer activity (PAPER TRAIL Project, 2026).
All of this feeds into the accountability matrix as input. The matrix integrates structural position (how many entities does this person control?), financial volume (how much money flowed through their accounts?), temporal persistence (how long were they active?), and causal dependency (what breaks if they are removed?).
The result is exported as two CSV files: the accountability matrix containing the tier assignments and scoring, and the but-for causation chains tracing the specific causal dependencies (PAPER TRAIL Project, 2026).
Who Appears at the Top
Darren Indyke appears as officer on at least 10 entities: NYSG LLC, NES LLC, JEGE Inc., Southern Trust Company, Gratitude America, Butterfly Trust, Hyperion Air Inc., Freedom Air Inc., Southern Country International, and more. He controlled the IOLA that processed the largest single financial flows in the corpus. He co-managed the Butterfly Trust that disbursed $2.65 million to beneficiaries including named co-conspirators. He signed wire transfers to previously unknown entities like Black Bag Media ($100,000) and Representation Trust ($2 million) on the day Epstein signed his last will (PAPER TRAIL Project, 2026).
Richard Kahn appears as officer on NES LLC, Southern Trust Company, Gratitude America, Butterfly Trust, and Southern Country International. He served as co-executor of the estate, sole signer on HBRK Associates, and withdrew $62,400 in cash in the months before arrest, including a $50,000 withdrawal that triggered a Currency Transaction Report (PAPER TRAIL Project, 2026).
The but-for chains make the structural point explicit. Remove Indyke, and the IOLA cannot process $14.66 million. The Butterfly Trust loses its trustee. Ten corporate entities lose their officer. The post-death asset movements documented in the TD Bank SAR (Suspicious Activity Report) cannot occur. Remove Kahn, and the accounting infrastructure collapses. HBRK loses its sole signer. The estate loses its co-executor (PAPER TRAIL Project, 2026).
No other non-Epstein entity appears across as many causal chains.
Defensive SAR Detection
The accountability matrix also incorporates a less obvious dimension: defensive SAR detection. This module identifies cases where financial institutions filed Suspicious Activity Reports not to flag genuinely suspicious behavior for law enforcement, but to create paper trails protecting the institution from future liability (PAPER TRAIL Project, 2026).
The distinction matters for accountability. A bank that files a defensive SAR is not whistleblowing. It is performing a calculated act of self-preservation — documenting just enough to claim compliance while continuing to process the transactions. The institutional forensics script flags these patterns and incorporates them into the institutional tier of the matrix, distinguishing between entities that enabled the network by action and institutions that enabled it by calibrated inaction.
What the Matrix Does Not Do
The accountability matrix does not make legal conclusions. It does not determine guilt. It quantifies structural dependency using verified data from the corpus — corporate registrations, wire transfers, FedEx shipments, banking records — and presents the results as risk-adjusted scores with explicit causal chains (PAPER TRAIL Project, 2026).
Every score is traceable to source documents. Every but-for chain can be verified against the underlying records. The matrix is a tool for investigators, prosecutors, and oversight bodies to identify where to look, not a verdict on what they will find.
Twenty-two CSV exports from the institutional forensics script document the ownership graph, the willful blindness markers, the compliance density by year, the Granger time series, the but-for chains, and the final accountability tiers. The data is there. The question is who will use it (PAPER TRAIL Project, 2026).
References
PAPER TRAIL Project. (2026). Institutional forensics script implementation [Script]. app/scripts/18_institutional_analysis.py.
PAPER TRAIL Project. (2026). Accountability matrix export [Data]. _exports/institutional/accountability_matrix.csv.
PAPER TRAIL Project. (2026). But-for causation chains export [Data]. _exports/institutional/butfor_causation_chains.csv.
PAPER TRAIL Project. (2026). Defensive SAR detection export [Data]. _exports/institutional/defensive_sar_detection.csv.
PAPER TRAIL Project. (2026). Entity ownership research [Data]. research/ENTITY_OWNERSHIP.md.
PAPER TRAIL Project. (2026). Institutional forensics methodology [Data]. research/INSTITUTIONAL_FORENSICS.md.
PAPER TRAIL Project. (2026). Cross-entity officer matrix [Data]. research/CORROBORATION_REPORT.md.
PAPER TRAIL Project. (2026). TD Bank SAR extraction [Data]. research/td_bank_sar_extraction.md.