King and Zeng (2001) rare events bias correction, critical for coup modeling where the base rate of coups is low (roughly 2-4% of country-years). Standard logistic regression underestimates the probability of rare events. Rare events logit, penalized likelihood, and Bayesian approaches address this. Affects both in-sample coefficient estimates and out-of-sample forecasting accuracy.