Natural Geometry of Probabilistic Law Families, by E. A. Morozov and N. N. Chentsov, is a fascinating and in-depth study that immerses the reader in the world of probability and statistics from a unique geometric point of view. This work will be a real find for students, graduate students, teachers and anyone interested in mathematics, statistics and their applications in various fields of science. The authors offer readers a new look at probabilistic laws, considering them not only as abstract mathematical constructs, but also as objects with geometric properties. The book explains in detail how different probability distributions can be visualized and analyzed using geometry methods. This allows not only to better understand the laws themselves, but also to see their interconnections, which opens up new horizons for the application of statistical methods to real-world problems. For whom is this book intended? First of all, it will be of interest to students and graduate students of mathematical, statistical and economic specialties, as well as teachers who are looking for new approaches to explaining complex topics . In addition, researchers and practitioners in the fields of data, machine learning and analytics will also find it useful ideas and techniques that will help in their work. The book is suitable for those who already have basic knowledge in the field of probability theory and statistics and want to deepen their knowledge, expanding them to more complex and interesting concepts. The topics that are raised in the book cover a wide range of issues related to probabilistic laws and their geometric interpretations. The authors explore concepts such as symmetry, stability, and equivalence of different distributions, allowing the reader to see how geometric properties can influence statistical inferences. The book also touches on the application of probabilistic models in real life, from economics to biology, making it particularly relevant in today's world, where data play a key role. The style of the authors is distinguished by clarity and accessibility, which allows even complex mathematical concepts to be presented in an understandable and fascinating form. E. A. Morozov and N. N. Chentsov are well-known researchers in the field of mathematics and statistics, and their previous work has also enjoyed great success. Their experience and deep knowledge in the field of probability theory make this book not only useful, but also inspiring for readers seeking new discoveries. If you’re looking for books on probability theory, statistics, or mathematical geometry, Natural Geometry of Probabilistic Law Families is a great addition to your library. Not only will it expand your knowledge, but it will also help you develop the critical thinking and analytical skills you need to work with data. Read this book to discover new horizons in the world of probability and statistics, and let yourself be immersed in a fascinating journey through the natural geometry of probabilistic laws.