A University of Houston researcher and his collaborators have developed a mathematical model that helps identify whether a competitive environment is healthy, stagnant or skewed. Published in the journal npj Complexity, the study led by UH Computer Science Professor Ioannis Pavlidis presents a general, falsifiable framework for assessing competition quality and fairness. The model works by analyzing the statistical pattern of repeated success and reverse-engineering the kind of competitive system that produced it.

AI summaries can be wrong sometimes—always verify important details using the source article.