A cultural appendix that connects probability to information. Entropy measures the “disorder” or the uncertainty of a random variable: the same formula H=plogpH=-\sum p\log p describes the minimum average number of bits needed to identify an outcome and has the same structure as Boltzmann’s thermodynamic entropy. Claude Shannon introduced it in the 1940s as a measure of the average information transmitted by a probabilistic source.