Three Falsifiable Predictions of an Informational Cosmology

This paper develops a minimal informational–geometric framework in which the spacetime metric is induced by an underlying informational field. From three structural identities linking the metric, informational curvature, and informational current, the framework yields three independent, falsifiable predictions:1. A parameter‑free informational deceleration curve, tested against the Pantheon+ Type Ia supernova dataset, reproducing the observed deceleration–acceleration transition without dark energy or free parameters.2. A curvature–information relation for the Hubble constant, predicting a specific value of consistent with the SH0ES Cepheid‑anchored distance ladder without fitting.3. An informational curvature threshold for technological intelligence, implying that sufficiently advanced energy‑processing systems must exhibit non‑thermal persistence, anomalous mass‑energy distributions, and anti‑relaxation gradients.Each prediction is testable using publicly available data (or, in the third case, purely from the structure of the constraint). Together, they form a unified empirical program for evaluating whether informational structure underlies the geometry and evolution of the universe. All mathematical expressions in this manuscript are presented in dual form. Each MathType rendering is immediately followed by its corresponding bold LaTeX expression, which serves as the canonical archival representation. Minor typographical differences may occur across viewing environments; in all cases, the bold LaTeX expression is the authoritative mathematical content. MathType rendering is provided for readability only. This dual-format approach ensures long‑term stability, cross‑platform compatibility, and fidelity of the scientific record. This paper is one face of a larger informational‑geometric framework developed across multiple volumes. Each component stands alone while also projecting from a single underlying structure, forming a conical source: a unified theoretical origin expressed through distinct empirical and conceptual domains. The geometry, informational curvature, and predictive structure presented here arise directly from this shared foundation.