 Permutation entropy is a powerful tool for analyzing time series that accounts for temporal information contained in the data, has simplicity, robustness, and low computational cost, and has been applied to various fields such as economics and biomedicine. This article was authored by Osvaldo Arasso, David Papo, Luciano Zunino, and others.