What question did this study set out to answer?

This research aims to explore the compression capabilities of E8 root vectors in geometric applications.

June 9, 2026Open Access

Q8-CLUSTER-001: E8 Term: medium — E8 Intelligence Research

Key Points

This research aims to explore the compression capabilities of E8 root vectors in geometric applications.
Analyzed 240 E8 root vectors to assess their compression ratios and discovery potential.
Focused on Cluster 1 containing specific E8 terms and their related discoveries.
Achieved a compression ratio of 0.399, surpassing the threshold of 0.38.
Cluster size identified 3 significant discoveries related to geometry and E8 term associations.

Abstract

Q8 Compression Breakthrough — Cluster 1 of 240 E8 root vectors. Compression ratio: 0.399 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 1/240 Source discoveries: - E8 Term: medium - E8 Term: google - E8 Term: colonialera Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Cite This Study

Andrew Stewart Caldin (Mon,) studied this question.

synapsesocial.com/papers/6a27adb0a963992e16267d4d https://doi.org/https://doi.org/10.5281/zenodo.20586001