Zorthex — Public Attention Diffusion Lag

Open Research Framework · Est. MMXXVI

How long before the world
starts paying
attention?

Measuring the delay between reality and public awareness. Three independent sources. Open method. Replicable data.

Enter a name, a technology, a political phenomenon, a product

Or start with one of these:

Public attention doesn't follow the science.
It follows its own clock.

01

Know when to act

Knowing where a technology, a political phenomenon, or any product sits in its attention cycle — too early, on time, or already fading — changes everything. When to launch. When to publish. When to invest. When to wait.

02

Three independent sources

Google Trends measures search attention. Wikipedia pageviews measure informational interest. Reddit measures community depth. Three clocks. Same direction — or not.

03

Open method

Every metric is defined. Every threshold is explicit. The pipeline is replicable. If you run the same analysis and get different results — that's a contribution, not a problem.

Zorthex maps that clock. For any phenomenon — biotech, finance, space, machine intelligence, politics, marketing. The question is always the same: where are we in the cycle?

Querying three independent sources...

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Months of lag (L)

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Peak attention score

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Months above threshold

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Current score · May 2026

L — Diffusion LagMonths from first public appearance to first major attention peak (Google Trends ≥25). The core Zorthex metric.

Peak AttentionHighest Google Trends score ever recorded for this term (0–100). 100 = maximum relative search volume globally.

Months Above ThresholdConsecutive months with score ≥25/100. 12+ consecutive months = structural consolidation confirmed.

Current ScoreEstimated Google Trends score May 2026. Below 25 = attention has receded. Above 25 = still in active public awareness.

Public attention over time — Google Trends (0–100)

Threshold: 25 · 12 consecutive months = structural consolidation

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Signal Intelligence — What's happening now

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Google Trends

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Wikipedia Pageviews

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Reddit Community

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Interpretation

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What to monitor next

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© 2026 Zorthex™ — Renato Santi · Zorthex framework v2.0 · CC-BY-NC 4.0 · DOI: 10.5281/zenodo.20589503 · ORCID 0009-0000-9936-1110 · GitHub —

METHODOLOGY PRIVACY