Fractal Credibility Transfer (FCT) — Working Analytic Construct and Briefing Deck (April 2026)
Abstract
**Fractal Credibility Transfer (FCT)** is a practitioner-grade working analytic construct designed for OSINT, threat intelligence, and information environment analysis. **BLUF** A single verifiable or emotionally salient anchor is extended across a network of unverified claims through self-similar structural expansion — producing perceived coherence that exceeds the underlying evidentiary support. **Core Innovation** FCT provides analysts with a repeatable, visual method to:- Classify narrative nodes as Anchor (A), Event (E), Claim (C), or Inference (I)- Detect structural credibility transfer versus independent evidentiary support- Identify fractal recursion (the load-bearing condition) across micro, meso, and macro scales inside a single artifact- Classify artifacts by anchor type (Emotional / Institutional / Technical) and topology (Hub-Spoke / Hierarchical / Lattice)- Apply topology-matched countermeasures instead of ineffective node-by-node debunking **Package Contents (v1.0 — April 2026)**- FCT Briefing Deck (full 15-slide presentation)- FCT Diagram Walkthrough and Node Study Guide (quick-reference training packet)- FCT_FINAL_INTEGRATED_DOCUMENT (complete analytic construct, detection criteria, typology, and risk scoring)- FCT Worked Examples Training Packet (three fully worked case studies with node classifications and FCT Risk Scores)- FCT Workbench Prototype (Python/Streamlit graph analysis tool) **Memory line:** **Anchor = It is** **Event = It happened** **Claim = It means** **Inference = It must be** **Important Notes** - UNCLASSIFIED // OSINT - WORKING DOCUMENT — NOT FORMAL IC DOCTRINE - Analyst judgment required. FCT is a triage tool, not a truth engine. - Designed to help analysts read dense visual narratives (diagrams, maps, infographics) instead of being pulled into them. This package includes everything needed to learn, apply, brief, and operationalize FCT in real analytic workflows. **GitHub repository:** https://github.com/kevmhash-cpu/fct-workbench
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 April 2026