HomeAtlasDashboardChartsMetalsResearchPersonsBubble MapGlobeLeadershipLensesMethodologyGlossarySource ↗
Independent research & opinion. Gradings are automated / LLM-assisted and may contain errors or hallucinations; nothing here is a statement of fact, financial advice, or an accusation of wrongdoing by any party. Claims about identifiable people or organizations reflect public records + good-faith interpretation; intent is not inferred from association. Methodology & disclaimer.

Temporal-web bridge facts (1998 → 2026) — sources for the meta-graph

Built from research/temporal-bridges.json — the source facts behind models/graph/temporal_web.py / data/temporal_web.json (the betweenness "weavers" of the 1998→2026 meta-graph). Each fact graded doc | assoc | struct. Sensitive items (Epstein/Waters/threat-actor) are documented-association only.

What this is. The structural patterns of this cycle are not new — they bridge prior cycles through recurring people, devices, and institutions. This block holds the dated, sourced bridge facts that the temporal-web model uses to compute which actors/structures connect 1998, 2001, 2008, 2023, and 2025–26. It is a chronology of rhymes, graded — not a claim that the same hands ran each cycle.

The bridge facts (representative; full set in the JSON)

How it's used (and bounded)

temporal_web.py computes betweenness centrality over the dated bridges to find the actors/structures that connect the most eras — the "weavers." Crucially:

Sources: CNBC — Summers/Epstein/OpenAI; Fed History — LTCM near-failure; Enron SPE chronology (Wikipedia/uncontested). See macro-history-dereg-manipulation, spec-network-overlay.

← Research index · structured data: temporal-bridges.json · temporal-bridges.md