I'm referring to the entropy of the Bernoulli distribution. If the coin is fair, the entropy is 1 bit... if the coin isn't fair, then the entropy of the distribution is less than 1 bit. I'm having trouble reconciling the information theory way of thinking about entropy as a function of a distribution, with how physicists tend to think of entropy of arrangements.