The article compares two models for analyzing event count data with more zeros than expected. It looks at data on Congressional responses to Supreme Court decisions and finds that both models are part of a broader data process that can lead to extra zeros. These models are also related to negative binomial specifications due to overdispersion. The study shows that these models produce similar results when estimating and interpreting them in practice.