The Conduction Lab

People are interacting with AI systems, social platforms, and algorithmically mediated relationships at a scale and intensity that has no precedent. Researchers across disciplines are documenting pieces of what's happening — dose-response effects, longitudinal behavioral change, attachment shifts — but they're working in silos, and no one has connected the findings.

The Conduction Lab applies clinical signal detection methodology — the same infrastructure used to determine whether a drug caused an adverse event — to the question of how systems shift human baselines. Adverse event reporting, causality assessment, and pharmacovigilance methodology already exist for exactly this kind of problem. They've just never been applied outside pharmaceuticals.

The unit of analysis is the joint distribution — what forms between person and system — not the individual measured in isolation. The result is a framework that can detect and measure baseline shifts caused by any sustained relational exposure.