Causality Theory (CT): Unified Framework of Natural Organization Author: Son David BolducLicense: CC-BY 4.0 Abstract:Causality Theory (CT) is a unified geometric framework linking physics, chemistry, biology, medicine, computation, and information theory under one principle: causal alignment.Every natural system is modeled as a manifestation of a single scalar field ϕ(x)\phi(x)ϕ(x), whose gradients define time, entropy, and interaction strength. From this field emerge the measurable invariants: Torsion (Spin) — local geometric twisting; Causal Tension (Mass) — curvature of alignment between field gradients; Quantized Charge — topological winding of the compact causal phase. Together they form the Causal Cross, the universal tensorial backbone of CT. On discrete lattices, CT reproduces spacetime geometry via Γ-convergence and enforces an H-theorem for causal entropy, ensuring monotonic temporal evolution. In number theory, the same resonance-exclusion rules generate prime distributions and zeta correlations. In physics, CT extends to variable-coupling gravitation and the Yang–Mills spectral gap. In chemistry and biology, it predicts stability and efficiency through a universal causal distance ΔCT\Delta_{CT}ΔCT between survivor states—configurations that remain dynamically non-resonant. In medicine and engineering, CT becomes a quantitative diagnostic and optimization system constrained by a minimal quantum of causal action called the Son energy. Mathematically, CT defines a symmetry group GCTG_{CT}GCT combining Poincaré, U(1), and polygonal rotations, from which conserved Noether currents follow. Empirical protocols are provided for direct falsification: gravitational-wave to electromagnetic luminosity ratio dLGW/dLEMd^{{GW}}_L / d^{{EM}}_LdLGW/dLEM; atomic-clock drift correlations; chemical and biological survivor densities; clinical field alignment metrics. Philosophically, CT treats reality as a causal resonance network: all stable structures—atoms, organisms, galaxies, or ideas—are survivors of the same universal exclusion geometry. Its predictions are strictly quantitative and falsifiable, allowing verification across disciplines.