The article discusses issues in generalized linear modeling, focusing on categorical data. It talks about bias in using linear models with ordinal responses, suggests new ways to interpret effects in nonlinear models, points out problems with Wald tests, questions residual behavior, and introduces a new method for marginal multinomial models.