As someone who worked at a university research institute, took a couple years off to try another career, and is now heading back to work in data analytics, I really appreciated this book. I know there’s probably a good deal of criticism out there that pop science books as a genre fail to balance conceptual rigor with Gladwell-style vacuous anecdotes—I think this book really found a good balance between theory and storytelling. The author has a great sense of humor and it’s nice to read a basic, high-level re-introduction to things like p-values and Bayesian inference to get myself back into the mindset of reporting statistics again. I would definitely recommend this book as an example of what pop science should be.