This work presents Causal Physics, a causal-first framework for fundamental physics realized through the Geometric–Topological Substrate (GTS). The theory departs from traditional models by rejecting spacetime geometry, force laws, and energy as fundamental primitives. Instead, physical reality is described as a discrete causal substrate composed of elementary events connected by admissible relations of influence. Foundational Principles: At the foundational level, causality is defined as the continuity and conservation of realizable influence. A fundamental causal event redistributes a finite causal impulse under local admissibility and finite-capacity constraints. Time, energy, mass, and physical constants emerge as regime-dependent descriptors of stable causal organization rather than axiomatic inputs. The dynamical closure of the framework is provided by a discrete variational principle - Causal Resistance Functional (CRF): R = Σ (Zᵥ * Δτ) (where Zᵥ is the local network impedance and Δτ is the causal step) The CRF ranks admissible causal histories by their accumulated resistance to reconfiguration. Within this framework, motion, inertia, and gravitational behavior arise as resistance-minimizing trajectories (paths of least resistance) rather than force-driven dynamics. Emergent Regimes and Gravity: Gravitation is reinterpreted as impedance-driven flux pinning within the causal substrate. In saturated and statistically isotropic regimes, causal transport admits a stable geometric reconstruction, yielding Newtonian gravity and General Relativity as effective thermodynamic closures. In this "Euclidean plateau, " the effective spatial dimensionality stabilizes at Dₑff ≈ 3. Outside this regime, the theory predicts systematic deviations that account for galactic rotation curves and lensing anomalies without invoking dark matter or modified Newtonian dynamics (MOND). The accompanying Python scripts provide evidence-of-concept demonstrations and simple diagnostic experiments. They are intended to illustrate core mechanisms and predicted regimes of the framework, not to function as high-fidelity physical simulations in present moment of development.
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Pavel Šikula
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Pavel Šikula (Tue,) studied this question.
www.synapsesocial.com/papers/699fe32295ddcd3a253e6c5d — DOI: https://doi.org/10.5281/zenodo.18757010
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