Nick Huntingon-Klein has performed a hat trick.  He has written a book introducing people targeting students, data scientists, academics, people in industry, and management without any deep familiarity with design based causal inference to design based causal inference that manages to be simultaneously a soft introduction and a tour de force that can take a person from zero to cruising altitude.  That is not easy to do to say the least.  Most people who perform this type of work have neither the time, inclination, desire or ability to communicate this material that manages to hit so many levels as Nick has done.  They don't know how to make something so accessible as causal inference except to lean heavily on the econometric theory which is dense, wrapped in opaque symbols and deep statistical theory.  And yet Nick, being both an excellent empirical microeconomist and an accomplished, innovative professor, was able to do it.  I think this book is the book that will help us begin figuring out how to create courses on causal inference for undergraduates all over campus, perhaps even high school itself, for it manages to cover all of design based causal inference (a subject which was awarded the Nobel Prize in economics in 2021) using causal graphs, code, light hearted yet clear exposition.  No one else could have written this book except Nick.  It is a masterpiece and it is one that will be around for a long long time.  Get this book for your boss, your colleagues, the student struggling in your class.  Study it for your dissertation, for your masters thesis, for your honors thesis.  Use it to dream.  Use it to finally understand that one paper that you found provocative but couldn't quite understand.  Nick's book is like a plan lifting off from the runway, barely angled up, lifting up slightly higher and higher and higher until at one point we all look around and realize -- we are so high up that we cannot see the ground.