EFF-TAX-PHEN-1
Phenomena Taxonomy
Classifies what is reported, observed, recovered or claimed — domain, morphology, origin and manifestation — before any explanation is applied.
EXO POLITICS INSTITUTE
Standards & Policy Archive
1 published framework
A multidimensional classification and analytical architecture for phenomena, evidence, intelligence, claims, source dependencies, adversarial manipulation and epistemic uncertainty.
Classification is not validation. A taxonomy records what is claimed, observed, measured, inferred or hypothesised without converting the classification itself into proof.
Interactive
The interactive map animated with Claude AI synthesized music.
Turn the sound on: bright bells mark groups outside the Military Industrial Extraterrestrial Complex, dark low hits mark groups cooperating with it. Groups, affiliations and descriptions from Salla (2013); original score composed by Claude (Anthropic).
Open mapInteractive · StaticThe interactive map without the animation.
A logarithmic chart from 0.06 AU to 10 million light-years, so Venus and the Andromeda Galaxy fit on one view. The top points toward the galactic centre; positions are projected by galactic longitude, with sources from Hipparcos and Gaia.
Open mapContents
EFF-TAX-PHEN-1
Classifies what is reported, observed, recovered or claimed — domain, morphology, origin and manifestation — before any explanation is applied.
EFF-TAX-EPI-1
Source reliability, evidence strength, corroboration structure, falsifiability and analytical confidence, scored separately.
EFF-TAX-INT-1
Actors, programs, relationships, motives, priority intelligence requirements and intelligence-gap classes.
EFF-ONT-1
Persistent objects and versioned assessments linked through a controlled set of graph relationships.
EFF-ONT-REL-1
Distinguishes genuine independent corroboration from hidden shared upstream sources and synthetic convergence.
EFF-SCHEMA-CASE-1
The operational container for investigations: case, evidence and assessment field schemas.
EFF-GRAPH-1
Records how propositions enter, spread through and mutate inside the information environment.
EFF-EX-1
A full example showing dimension-specific confidence: high on observation, low on origin.
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