Sealed Before the Event: A Publicly…
A one-operator forecasting record ran the scientific method in public for three years: predictions sealed cryptographically before events, graded against externally recorded outcomes, misses kept in, and every analysis recomputable by anyone. This paper documents the verification protocol, the 92-call graded record, the pre-specified analyses, a worked eleven-call national-security sitting, the alternative explanations that failed, and the honest limits — with the generating method treated, deliberately, as a black box.
**Abstract.** Public forecasting suffers a verification gap: claims of foresight are typically asserted after the fact, graded by their author against shifting standards, or hosted on platforms whose question formats exclude high-specificity calls. This paper documents a protocol that closes the verifiable half of that gap, and the record produced by running it publicly since 2023: 92 graded forecasts — 23 in launch mission assurance across five competing providers, 69 in strategic and geopolitical warning — each sealed before its event (SHA-256 over the verbatim claim, timestamped by a public platform, anchored to the Bitcoin blockchain via OpenTimestamps), graded against externally recorded outcomes under a published rubric, with misses retained at full weight and the complete grading ledger frozen and independently recomputable. Pre-specified analyses are reported: a clustered significance test (51 of 68 independent events strict-successful; exact binomial p = 2.2×10⁻⁵ at a coin-flip floor per event; break-even luck-prior ≥ 0.648), a signal-detection decomposition (zero false all-clears, zero missed catastrophes; the only errors are two severity overcalls, both self-penalized), a 23-row dose-response table with its two gradient-breakers shown in place, provider-neutrality and natural-experiment results, and, on the warning desk, lead-time and specificity structure for which no official-channel comparator existed in most cases. Alternative explanations — fabrication, insider information, self-fulfilling prophecy, Barnum vagueness — are addressed by construction or by natural experiment; the strongest surviving mundane hypothesis is named, and the evidence bearing on it is stated together with what cannot discriminate it. The generating method is proprietary and deliberately undisclosed; the paper evaluates the record as a black box. The aggregate Brier score (0.0958) is conceded to be matched by a base-rate baseline on this high-confidence sample; the record's information lives in specificity, lead time, and the intensity structure documented here. All data, seals, and analyses are public and recomputable without trusting the author.
## 1. Introduction
On 4 September 2023, a public forecast named a mass-casualty terror attack on a Moscow public gathering in a March–April 2024 window — sealed and timestamped to public infrastructure that day, 185 days before the U.S. Embassy in Moscow issued a comparable alert and roughly 200 days before the Crocus City Hall attack of 22 March 2024. Anyone can still recompute that the sealed text predates the event. That single call frames the problem this paper addresses: not whether one dramatic prediction can be found after the fact — those are cheap — but whether an entire forecast record can be made *anterior, graded, and recomputable*, turning anecdote into evidence.
How to cite: archived open access on Zenodo, concept DOI 10.5281/zenodo.21132914 (latest version v10, DOI 10.5281/zenodo.21221313, 6 July 2026, CC-BY-4.0 — the authored-vector full-figure edition: 17 light-theme vector figures + 4 signature data plates, PDF of record sealed-before-the-event-v10-full-figure.pdf); submitted for formal peer review 2 July 2026, first venue declined without scientific review on scope, resubmission in progress.
Book: also published in expanded form as the two-volume book The Forecasting Protocol — Vol. I: The Protocol & The Laws (ISBN 979-8-9969481-0-9) · Vol. II: The Laws in Action (ISBN 979-8-9969481-4-7) — Vijay Jyotish LLC, 2026, in press; the free PDF edition (ISBN 979-8-9969481-2-3 / -6-1) will be available on this site.