Mid-Scale Causal Balance Theory (MCBT): A Framework for Universal Causal Complexity

We propose the Mid-Scale Causal Balance Theory (MCBT), a unifying framework describing how complex systems emerge at intermediate scales of interaction. The core idea is that maximal causal complexity occurs when the interaction timescale of a system matches its structural timescale, formalized as the dimensionless parameter $\Xi = \tau_{\text{interaction}} / \tau_{\text{structure}} \approx 1$. This principle applies universally, from subatomic particles to planetary systems, biological organisms, and cognitive structures. MCBT connects physical constants ($c, G, \rho$) to emergent complexity, offering predictive scaling laws, insights into consciousness, and constraints on measurement and computation. We introduce a field-theoretic formulation of causal complexity, a "causal potential," and derive testable consequences for physical, biological, and cognitive systems. Causal Emergence Complexity Theory Theoretical Physics Mesoscale Dynamics Information Theory