Purpose vs Randomness
Abstract
We introduce the Acausal Purpose Invariant ($\mathcal{P}$), a decibel-scale measure of how atypical a number's prime ancestry is relative to a stochastic background. Empirical sweeps reveal a sharp probabilistic cutoff separating random structure from cost-paid persistence, reframing the detection of life, artifacts, and purpose as a problem of entropy suppression rather than intelligence.
Fields of Study & Subjects
Computability
Logic
AI Algorithms
Analytic Number Theory Research
Space Science and Extraterrestrial Life
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026