Encyclopaedia of Anomalous Phenomena
Source-attributed. Algorithmically scored. Open data.
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People
Named individuals connected to anomalous phenomena
Organisations
Groups, agencies, and institutions
Projects
Funded efforts, formal investigations, programmes, task forces, committees
Events
Discrete incidents at specific times
Places
Geographic locations of significance
Documents
Books, podcasts, videos, transcripts, FOIA releases, reports
Objects
Named physical things and artefacts
Topics
Named ideas, theories, principles, frameworks
Patterns
Recurring phenomena observed across multiple cases
Records
Every source we've ingested - documents, episodes, transcripts - with the facts extracted from each
Principles
Source-attributed
Every claim traces to a specific source document, page, and paragraph.
Algorithmically scored
Evidence strength computed from attestation level, corroboration, and source independence.
Jurisdiction-independent
Not aligned with any national interest. Hosted across jurisdictions.
Open data
CC0 public domain content. Downloadable SQLite knowledge graph. MIT-licenced code.
Transparent AI
AI arranges information but does not generate claims. Independent models verify assembly.
Multilingual
30 languages covering 77% of the world's literate population.
Anomalica is in early development. Content will appear as the assembly pipeline comes online.