Signals

Forward-chain hypothesising from observations in topic journals — mundane or extraordinary. For each observation, build a chain of 5 “what if” steps toward an implication, then check whether independent chains converge or diverge.

Cross-journal causal relationships — where a development tracked in one topic journal is the direct or structural cause of an observation in another. Symptom-catalogue collects observations; five-what-ifs hypothesises forward; causal-chains looks backward to identify what is causing what we observe across the topic system.

Concrete instances of disruption, surprise, or anomaly extracted from topic journals — collected without explanation. Periodic synthesis passes ask: what structural hypothesis would connect these?