Author · Founding contributor

Addie Conner.

Founding contributor of Forecast Registry, the neutral standards body for catastrophe-pricing calibration credentials. Operator of the reference forecaster, the Chorus Public Ledger. Proposer of the calibration-credential methodology under NAIC Model Bulletin 30 §3(D), filed during the 60-day public comment window 2026-06-05 through 2026-08-04.

Reference forecaster track record

The Chorus Public Ledger is a public, SHA-256-locked, OpenTimestamps-anchored record of probabilistic forecasts. As of 2026-06-05, the ledger contains 1,963 logged predictions; 82 are resolved. Reported under the registry's mandatory (source, n, slice, filter) tuple:

Prior work

Three prior exits.

Earlier-career: Avenue100 / Link-Ventures — the Blundin-style portfolio holdco that produced the snapshot-and-fork IP model later applied to Chorus and Forecast Registry. Direct experience of the institutional measurement-firm sale playbook.

Other relevant positions: Facebook Product Council advisor (paid-social and measurement infrastructure). Current: Chorus Public Ledger (operator); Forecast Registry (founding contributor).

Education

University of Vermont. Economics and Statistics.

What I am proposing with Forecast Registry

The NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers (Bulletin 30, adopted December 4, 2023) is silent on which specific calibration metric qualifies as adequate AI-system validation under §3(D). The Bulletin requires governance, testing, monitoring, and validation — but it does not say what calibration looks like.

Vendor catastrophe models (RMS / Verisk AIR / Munich Re NATCAT) drive an estimated $100B+ in annual reinsurance and catastrophe-bond pricing decisions. None publish pre-registered, time-stamped, out-of-sample probabilistic forecasts subsequently scored against realized events on a public ledger. Their accuracy is unauditable by anyone outside the vendor.

Forecast Registry methodology v1.0 fills the gap: a SHA-256-locked, OpenTimestamps-Bitcoin-anchored, Brier-scored, lifelong-public credential, segmented across eight canonical peril classes, scored against resolution sources already in regulatory practice (NOAA IBTrACS, CAL FIRE, NIFC, USGS, NOAA SPC, USDA NASS, PERILS, JMA). Methodology under CC-BY 4.0; code under MIT; free to regulators by structural commitment.

Operating principles I bring to this work

Contact

Last reviewed 2026-06-05.