Information Tension Theory: A Geometric Replacement for Dark Matter
Yett, Ryan W.
Abstract
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 121 of 175 galaxies 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.