non-accidental regularity

Non-accidental regularity refers to patterns or structures that are unlikely to occur randomly and suggest deliberate organization or design. In other words, when a pattern is consistently observed and couldn’t be easily explained by chance, it indicates intentionality or underlying rules. This concept is often used in fields like pattern recognition, forensic analysis, and scientific research to distinguish meaningful order from random variation. Recognizing non-accidental regularities helps scientists and analysts identify genuine signals or consistent features amidst noise, improving understanding, prediction, and decision-making based on observed data.