This presentation will explore the origins of the reproducibility crisis, particularly in social sciences and educational research, striking examples demonstrating that data can be misleading, and proposed solutions such as open science, preregistration, and data sharing, as well as methodological rigor in combating this crisis. Through examples ranging from historical misconceptions to deviations in current research, the importance of approaching research findings with caution and enhancing reliability through transparent methods will be emphasized.