Pressé, SteveGhosh, KingshukLee, JulianDill, Ken A.2016-03-232016-03-232015-07Pressé, S., Ghosh, K., Lee, J., & Dill, K. A. (2015). Reply to C. Tsallis’“Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems”. Entropy, 17, 5043-5046. doi:10.3390/e17075043.https://hdl.handle.net/1805/8982In a recent PRL (2013, 111, 180604), we invoked the Shore and Johnson axioms which demonstrate that the least-biased way to infer probability distributions {pi} from data is to maximize the Boltzmann-Gibbs entropy. We then showed which biases are introduced in models obtained by maximizing nonadditive entropies. A rebuttal of our work appears in entropy (2015, 17, 2853) and argues that the Shore and Johnson axioms are inapplicable to a wide class of complex systems. Here we highlight the errors in this reasoning.en-USAttribution 3.0 United Statesnonadditive entropiesnonextensive statistical mechanicsstrongly correlated random variablesArticle