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This lecture explores the impact of birth month on athlete success, analyzing a dataset of Japanese athletes to investigate trends in birthdates, occupations, and pageviews. It covers topics such as multivariate regression, empirical cumulative distribution functions, and the advantages of geometric mean over arithmetic mean. The analysis delves into the relationship between birth month and athletic achievement, considering factors like relative age effects and school start dates. The lecture concludes with a discussion on causal effects and observational studies in the context of athlete recruitment.