Signal Radar
Divergences, tensions, weak signals and outliers across data sources · Where the story gets interesting
What is the Radar?
The Radar crosses signals of adoption, scientific output, labor market, capital, security and infrastructure to find unusual misalignments. When job postings, papers, technical communities, investments or countries tell different stories, stories, risks and regime changes emerge that are not yet obvious.
Current cycle: 0 approved hypothesises, 1 priority filter and 4 context groups.
What is worth watching today
Recent moves worth editorial monitoring before becoming a structural thesis.
No new consolidated thesis today, but there are observations under validation.
Emerging relations under observationunder validation · not a recommendationRelations computed from internal historical series. Not yet a structural thesis or a recommendation.+7 additional relations under observation
Monitored hypotheses (0, no update this cycle)
Measured relationships across collectors, with counter-signal, limitation and next metric to watch.
Priority Filters
Priority filters help rank attention within a dominant domain. Useful for operational decisions but not cross-domain hypotheses.
Grouped individual metrics — input for hypotheses, not standalone insight.
Guides for tracking technology, AI and security
Methodological Note
Signal classification is heuristic: based on keywords, number of counter-signals and evidence density. Signals with early evidence appear as weak signals; 2+ counter-signals indicate tension. Terms like "gap", "paradox" or "divergence" indicate misalignment between sources — worth cross-checking with other sources before acting on a weak signal.