We’ve developed a new open model for measuring system health using thermodynamics and information theory. It’s called QIH (Quantified Inference of Health), and it defines health not as a static state, but as the adaptive capacity to export entropy.

This applies to biological systems (sleep, disease), ecosystems (Amazon collapse), markets (COVID crash), and even AI.

It’s testable, cross-domain, and designed to bridge theory with real-world simulation. We’d love feedback from systems thinkers, biologists, physicists, and curious generalists.

We’re releasing this under open protocol and will iterate based on feedback. AMA!