"Causal Inference in Statistics: A Primer" by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell is a comprehensive textbook on the subject of probability and statistics, focusing on the application of statistical methods to causal reasoning. The book, published by Wiley & Sons in 2016, covers topics such as general probability theory, general statistics, and causal inference. With a total of 156 pages, the trade paperback format makes it easily accessible for students and professionals in the field. The authors provide a clear and informative approach to understanding the complexities of causal inference in statistics, making it a valuable resource for those interested in this specialized area of mathematics and philosophy.