This chapter tackles external validity—the extent to which findings apply beyond the experimental setting. It examines threats to generalizability and how to design studies that balance control with real-world relevance. The chapter also addresses debates over causality, replication, and the limits of experimental inference in architecture. By critically evaluating these issues, researchers can design experiments that produce both rigorous and practically meaningful conclusions, strengthening the bridge between research and practice.