What question did this study set out to answer?

The study aims to measure the lag of institutional adaptation to new realities using a public attention diffusion metric.

June 10, 2026Open Access

ZORTHEX — Institutional Adaptation Latency: Public Attention Diffusion Lag (L₁), v2.0

Key Points

The study aims to measure the lag of institutional adaptation to new realities using a public attention diffusion metric.
Analyzed 70 phenomena across 7 domains using three-source verification from Google Trends, Wikipedia, and Reddit.
Calculated diffusion lag (L₁) as the difference in months between the first public emergence and peak attention.
Identified patterns including the four-regime taxonomy and dual-velocity finding related to public attention.
Established four regimes of attention: Policy-Trigger, Institutional Mass, Market-Narrative, Shock/Spoke.
Discovered the Cluster Renormalization Effect, indicating stable vs. provisional adaptation latency based on attention peaks.
Demonstrated that operational attention often precedes informational/mainstream attention in B2B and policy-driven contexts.

Abstract

Zorthex is an independent, empirical research framework measuring institutional adaptation latency — the lag with which complex systems metabolise a new reality. L₁ (this dataset, public): the diffusion-lag metric. L = tₚeak − tₛtart (months), where tₛtart is the first documented public emergence of a phenomenon (primary source, Level A–D) and tₚeak is the first month of 12 consecutive months ≥25/100 on Google Trends (Worldwide). This version covers 70 phenomena across 7 domains, three-source verified (Google Trends operational signal, Wikipedia pageviews informational signal, Reddit community signal declared as qualitative proxy). Observation cut-off: May 2026. Values are subject to revision; re-verification recommended every 90 days, mirroring the dated and revisable nature of credit ratings. Key findings in v2. 0: the four-regime taxonomy (Policy-Trigger, Institutional Mass, Market-Narrative, Shock/Spoke) ; the Cluster Renormalization Effect and the resulting rock rule (a historical all-time peak yields a stable L; a recent peak within the attention wave yields a provisional L, marked Observation) ; and the dual-velocity finding (operational attention preceding informational/mainstream attention in B2B and policy-driven phenomena). L₂ (research direction, in development — not part of this dataset): a second metric, institutional adaptation latency (L₂), extends the same logic to the gap between a formalized norm and its operational reality. L₂ is recorded here only to document its standing within the broader research programme; it is not part of the public v2. 0 dataset and no L₂ values are published in this deposit. Descriptive only; does not constitute investment or legal advice. Trademark: UIBM N. 302026000090628 (Class 42). ORCID: 0009-0000-9936-1110. Powered by Claude. Full methodology: https: //zorthex. com/methodology

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