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 potential overdispersion. The results show that the models produce similar estimates and interpretations in practice.