This video explains the importance of not assuming causation based on correlation in statistical analysis. Through examples of shoe size and reading levels, as well as meditation and blood pressure, the teacher demonstrates how language used to explain statistical results can imply causality when it may not be warranted. By evaluating the language used, viewers can learn to avoid making errors in interpreting correlations.