Nathan M. Thornhill is an independent researcher working at the intersection of complexity science, information theory, and consciousness studies. His work asks a deceptively simple question: what separates systems that persist from those that don't?
His Existence Threshold framework answers this through measurable information dynamics — integration, differentiation, and the balance between them. The framework has predicted pattern persistence in cellular automata with 100% accuracy, identified a universal 86% information loss law at dimensional boundaries (validated across 1,500 patterns and two neural networks), and most recently, demonstr…
Nathan M. Thornhill is an independent researcher working at the intersection of complexity science, information theory, and consciousness studies. His work asks a deceptively simple question: what separates systems that persist from those that don't?
His Existence Threshold framework answers this through measurable information dynamics — integration, differentiation, and the balance between them. The framework has predicted pattern persistence in cellular automata with 100% accuracy, identified a universal 86% information loss law at dimensional boundaries (validated across 1,500 patterns and two neural networks), and most recently, demonstrated that integration-differentiation balance predicts critical transitions across financial markets, space weather, and human consciousness states — with organizational information conserved during transitions but destroyed by dimensional embedding.
This latest work, the Dynamic Existence Threshold, is the subject of U.S. Provisional Patents and is currently under peer review. Four published papers. Four provisional patents. One framework.
Thornhill is entirely self-taught — his prior career spans healthcare, from nursing assistant to hospital administration. He runs a technology consultancy in Fort Wayne, Indiana, and when he's not researching, he's playing guitar, gardening, or spending time with his wife and daughter.
