The Ontology-Information Dichotomy Framework: The Truth Identity Axiom and Empirical Evidence for Macroscopic Apparent Randomness
Traditional physics and statistics have long conflated the results of statistical aggregation over multiple events with the intrinsic random properties of physical objects. This paper proposes the "Ontology-Information Dichotomy Framework," establishes the Truth Identity Axiom, and empirically investigates the true physical source of random phenomena through time-sequence-separated macroscopic dice-cup controlled experiments. This study strictly delineates the ontological layer, observational relation layer, and information-representation derivative layer, introducing formalized symbols: ontological truth , ontological statistical truth set , information gap , information set , and the apparent probability representation .
Authors
- Jiale Wu (ORCID: https://orcid.org/0009-0000-3202-9869)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-03
- DOI
- https://doi.org/10.5281/zenodo.23926754
- Primary Topic
- Quantum Mechanics and Applications
- Type
- preprint