Bayyinah: Public-Ledger Allocation and Asymmetric-Measure Audits — A Descriptive Count-versus-Dollar Asymmetry in Public-Authority Procurement, with a Reproducible Worked Example on New York MTA Data

This method application note applies Structural Honesty Verification to public-authority procurement, measuring, for the MTA's FY2024 report, the divergence between a participation metric counted by contract and the same metric weighted by dollars, on two named dollar estimands. It reports these as descriptive prime-vendor statistics and explicitly refuses goal-attainment, discrimination, and rule-compliance conclusions. The worked example is fully reproducible from public New York State open data and converged after nine independent cross-instance audit rounds.