The Compression Principle: A New Law of Pattern Persistence

# The Compression Principle: A Universal Law of Pattern Persistence **Author:** Donald Lippy This paper proposes the Compression Principle: that patterns persist in any system—biological, physical, cognitive, or technological—in proportion to their ability to compress information while maintaining functional integrity. We introduce the **Lippy Compression Index (LCI)** as a formal metric for evaluating compression efficiency and survivability across disciplines. ### Key Areas Covered:- Information Theory & Kolmogorov Complexity- Cognitive Systems & Memory Encoding- Machine Learning Model Compression- Symbolic Expression and Cultural Resilience- Experimental Proposals for Neural Feedback & Data Survivability This document is intended for academic and scientific communities focused on systems theory, AI, pattern recognition, and theoretical physics. **Keywords:** compression, Kolmogorov complexity, LCI, persistence, cognitive science, symbolic compression, systems theory