// research · applied analyses · v2.0

Signal Reports

Applied Zorthex analyses on specific phenomena. Each report maps the diffusion lag (L) empirically across three independent sources — Google Trends, Wikipedia pageviews, and Reddit — with the primary source for t_start declared and the data snapshot locked for replication.

// ZSA Series · Cross-Dataset Pattern Analysis · New Format

Signal Analysis

Cross-dataset analyses that identify structural patterns across multiple phenomena — not single-case reports, but pattern findings with empirical backing.

ZSA-2026-001 · Signal Analysis · First in Series
◎ New Format
Dual-Velocity — When Specialists Know and the Public Doesn't
4
Confirmed Cases
Aug 2025
Convergence
~91–231 mo
L Range
3 of 4
STRUCTURAL

A cross-dataset pattern: four cases — Post-Quantum Crypto, Zero Day Vulnerability, AI Watermarking, Endpoint Security — where specialist engagement (Wikipedia) ran high for years while public search (Google Trends) stayed near zero. All four converged in the same 6-week window in August 2025. CSV locked 22 June 2026.

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// ZCR Series · Verified Analysis

Published Reports

Full-depth verified reports — manually verified data, documented primary sources, three-source verification, regime classification, and a conditional monitoring framework.

The reports below are demonstration reports produced by Zorthex to document the framework in practice. They are not commissioned reports. Commissioned reports are produced on request following the same methodology — contact us to request one.
ZCR-2026-004 · Demonstration Report · New
◉ STRUCTURAL · Peak
The AI Sustainability Gap — When Does the Market Start Pricing the Cost of AI?
27 mo
Sustainability Gap
STRUCTURAL
Status
100/100
Jul 2026 · Peak
22%
Reality Check Ratio

A new application of the Zorthex framework: measuring the temporal gap between technology enthusiasm and financial scrutiny. It took 27 months from ChatGPT's launch for sustainability concerns to reach structural attention — during which $750B+ in AI infrastructure capital was deployed with minimal public scrutiny of the underlying economics. Introduces the Reality Check Ratio: Wikipedia "AI bubble" views as a percentage of "Artificial intelligence" views — from 0.3% (H2 2023) to 21.9% (H2 2025). Both GT queries ("AI bubble" + "AI costs") at simultaneous all-time peak (100). CSV locked July 11, 2026.

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ZCR-2026-001 · Demonstration Report
Stablecoins as Treasury Infrastructure
128 mo
Lag (L)
STRUCTURAL
Status
53/100
May 2026

Policy-Trigger regime. GENIUS Act as primary trigger — Google Trends and Wikipedia ignite together (full convergence). 128 months from early issuance to structural public attention. The model case for the ZCR format.

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ZCR-2026-002 · Demonstration Report · v2.0
◎ Observation · Active
Post-Quantum Cryptography
~91 mo
Lag (L)
OBSERVATION
Status
95/100
May 2026
Jul 2026
STRUCTURAL?

Policy-Trigger regime. Dual-Velocity confirmed — Wikipedia active at ~338 views/day since 2015 while Google Trends flatlined near zero for 8 years. Breakout August 2025 (70/100), peak April 2026 (100/100). 11 consecutive months above threshold — July 2026 determines STRUCTURAL classification. CSV locked 22 June 2026.

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ZCR-2026-003 · Demonstration Report
◎ Observation · Active
Real-World Asset Tokenization
103 mo
Lag (L)
OBSERVATION
Status
53/100
May 2026
+71 pts
Aug 2025 jump

Institutional Mass regime. From 14/100 to 85/100 in one month (Aug 2025) — years of invisible infrastructure before a public frame emerged. Recent peak: L provisional under the rock rule, classification OBSERVATION until the 12-month window settles.

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