Money and ties, every evaluator
The ledger view: each evaluator's traced inflows by distance from a frontier lab, ties within two steps, and how much of the record has been re-derived from primary sources rather than imported. Read the confirmed column before the others; most rows are still leads. Rows and sources: data/ledger/. Rebuild with python -m bench exposure --json.
Two patterns worth reading off the matrix. First, the two organizations with the most complete self-disclosure, Transluce and AVERI, score lower on funding than several that disclose less; an evidence-based score rewards silence unless the empty cells are read as gaps, which is why the confirmed and second-hop columns sit beside the rows and why an unevidenced dimension renders as a dash rather than a number. Second, the same three or four funders (Coefficient Giving, the Survival and Flourishing Fund, the Audacious Project, the EU AI Office) sit behind most of the nonprofit evaluators, so a question about one evaluator's independence is often a question about one funder's.
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The graph itself
Every entity in the ledger placed by its distance from a lab, with money in teal and roles in amber. Dashed lines are imported rows not yet re-derived. Hover a name to isolate its neighbourhood; click it to open the entity page and walk the graph hop by hop.
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