information if often thrown away by using ratios of counts instead of the counts themselves 10/20 and 1/2 are the same ratio, but the first has more information there is friction in using the count data instead of the proportions interpretation is less intuitive this chapter covers the two most popular count distributions: binomial regression: model a binary classification dead/alive, accept/reject 2 Poisson regression: models outcome without a known maximum a binomial models with a very large maximum and small probability per trial number of elephants in Kenya, number of people who apply to graduate school 10.