Predictive History News Analyzer

The Knowledge Base (Second Brain)

News Analysis Pipeline

How to Use

Learn the Framework

Start at predictive-history-moc and follow the links. Each note covers one idea and connects to related concepts. Use Obsidian’s graph view to see how everything connects. There is no “correct” reading order - follow what interests you.

Analyze News

  1. Run /analyze-news in Claude Code to search current news against all claims
  2. Run /analyze-news CLAIM-001 to check a specific claim
  3. Review generated notes in this vault
  4. Check the Graph View to see connections between claims and evidence
  5. Use NotebookLM for deeper AI analysis and deliverables (podcasts, reports)

Vault Stats

  • Zettelkasten notes: 68 (7 MOCs, 35 concepts, 10 actors, 15 historical patterns, 1 meta)
  • Tracked claims: 15
  • Substack articles: 8 (extracted in articles/extracted/)
  • NotebookLM episodes: 13

Claim Status Overview

StatusMeaning
UNVERIFIEDNo evidence gathered yet
PARTIALLY_SUPPORTEDSome evidence supports, incomplete
SUPPORTEDStrong evidence aligns
CONTRADICTEDEvidence directly opposes
EVOLVINGActively developing, mixed signals
DEBUNKEDOverwhelming evidence disproves

Professor Jiang’s Game Theory Series

13 episodes loaded in NotebookLM notebook game-theory. 8 Substack articles extracted and analyzed. Covers 13 analytical frameworks including laws of asymmetry, escalation, eschatological convergence, proximity, boom-bust cycles, and predictions about US-Iran war, global economic restructuring, and civilizational shifts.