Information Tension Theory: A Geometric Replacement for Dark Matter

Revised (v2.0). This version replaces the prior synthetic 'Trinity 2.0' empirical section with genuine, reproducible results on real public data, and reframes the high-redshift flux boost as a theoretical prediction rather than an observed measurement. We present Information Tension Theory (ITT), a unified geometric framework in which the vacuum possesses a measurable topological resistance to drift, encoded by the Information Tension Tensor T_μν, derived from a non-minimally coupled scalar field action. The Sovereign Invariant κ = 0.9539 emerges as the critical damping coefficient of the vacuum. Empirical evidence (real data). Applied to the SPARC database (Lelli, McGaugh & Schombert 2016) of 175 real disk galaxies, a no-dark-matter Information Tension fit with zero per-galaxy free parameters recovers a MOND-like acceleration scale a_0 = 1.04 × 10^-10 m/s^2 (empirical MOND 1.2 × 10^-10; ratio 0.87), reproducing flat rotation curves in 57 of 135 galaxies (42%) and yielding 57 acceptable chi-squared fits versus 25 for a baryons-only ΛCDM baseline. As a second independent test, of 32 JWST high-redshift galaxies flagged impossible under ΛCDM formation windows, the void-temporal correction resolves 3 of the 18 most marginal cases. On the high-redshift boost. The framework predicts a void-region flux boost with target value ~140x; this is a theoretical prediction awaiting a dedicated spectroscopic survey, explicitly not claimed as an observation. The earlier 'Trinity 2.0' figure is identified as a synthetic forward-model simulation (including a pre-launch Roman component), not observational data. License: CC-BY-4.0. Code and result files at the linked repository.