PolicyChat Methodology — Index
Last updated May 2026 · PolicyChat.
PolicyChat Methodology — Index
Quick links to every PolicyChat methodology page. Each reads as a research Methods section — data sources, analytic procedure, fidelity declarations, and known limits.
- PolicyChat — data sourcing — three data sources (state DOI / SERFF filings, NAIC averages, SEC EDGAR carrier disclosures); ledger architecture; fidelity declarations
- Verdict Engine methodology — decision recommendations gated by conviction tier
- Conviction-tier framework — the four-tier classification (kill_log / directional_only / calibration_validated / tier_a_validated)
- Carrier comparison methodology — five-axis rubric for carrier-vs-carrier evaluations
- GEO measurement methodology — how PolicyChat measures its own LLM-citation share-of-voice
Underlying methodology stack
PolicyChat is built on an eight-gate Bayesian conviction-filter
framework with cross-domain Tier A precedents in commodity and ecosystem
forecasting. Applied to insurance, the same |p − 0.5| > 0.20 publish
gate governs every magnitude claim across the site.
Errata
Methodology pages are versioned; material changes are dated. Errata: [email protected] (48-hour response on verified corrections).
Last updated: 2026-05-23.