Author: Nathan Sweet

Nathan Sweet is an independent researcher working at the intersection of biology, computation, physics, and epistemology, with a focus on constraint-based explanations of complex systems. His work examines how morphogenesis, cognition, and adaptive behavior emerge from thermodynamic, informational, and historical constraints rather than from transcendent or metaphysical principles.He is the author of the Recursive Constraint Falsification (RCF) method, a falsification-first approach that integrates thermodynamics, path dependence, and systems theory to evaluate explanatory claims in biology and cognitive science. His writing emphasizes empirical accountability, explicit mechanisms, and resistance to unfalsifiable metaphysics, particularly where such frameworks intersect with bioelectricity, morphogenesis, and theories of mind.Sweet’s work engages directly with contemporary scientific debates, prioritizing reproducibility, constraint satisfaction, and explanatory parsimony over narrative elegance.