100 books like The Book of Why

This book picks up where Evening in the Palace of Reason leaves off, with Bach composing the Musical Offering on a horrible theme from King Frederick.

It explains canons and fugues, and thus helps you understand Bach’s work better, but it then goes on a safari through the intellectual landscape of ideas related to fugues–strange loops, self-similarity, recursion, and of course the guys in the title. It’s not for everyone, but if you like any two of logic, philosophy, or music, give this a try.

Best recent book examining human morality from a scientific, psychological point of view.

Darwinians used to think humans had to be selfish and immoral. Contemporary evolution argues the opposite, that humans evolved moral limits on our selfishness in order to live together. Haidt’s is the best book presenting this new evolutionary psychology.

But it goes further to connect those scientific issues with contemporary politics, explaining why people from “red” and “blue” states cannot understand each other: they each embody a short list of human moral values, but different ones. This is a great book for thinking carefully about human morality and contemporary politics. Students love it, and so do I. 

This book is not about computing, but it is relevant in an indirect way. I love this book, since it is written in such an engaging style and illustrates with many examples that math is not a dry subject to be practiced only by mathematicians but helps everyone to solve real-world problems. The book shows how important it is to be precise in describing problems and that applying a little mathematical rigor goes a long way in solving them. Ellenberg describes mathematics as the “extension of common sense by other means.” In a similar way, I view computer science as the extension of problem-solving methods (aka “algorithms”) by other means. 

In addressing decision makers, an understanding of forces affecting human behavior is essential. The author provides a comprehensive view on the work of Kahneman and Tversky mapping their journey which lead to their highly impactful behavioral economic body of knowledge. The bias they address provides data scientists a widened perspective on their role and how to address organizational challenges. This provides a language to recognise and address bias inherent in human thinking. The book provides a very powerful set of tools for data scientists who want to see behind the numbers and understand forces affecting human behavior.

The text covers classic statistical inference, early computer-age methods, and twenty-century topics. This puts a unique perspective on current analytic technologies labeled machine learning, artificial intelligence, and statical learning. The examples used provide a powerful description of the methods covered and the compare and contrast sections highlight the evolution of analytics. This book by Efron and Hastie is a natural follow-up source for readers interested in more details.

Moffett is a leading specialist on social insects, and the core of his penetrating insight is that we ought to clearly distinguish between collective behavior and social behavior. Our ability to see that one stranger belongs to our society, while another stranger does not, is utterly crucial, and Moffett speaks with authority when he claims that humans are the only animals where different societies merge over time. In particular, he correctly notes that time and time again there has been a fusion between human societies under the heel of a conquering force. By carefully considering our bee-like nature, as well as our chimp-like nature, The Human Swarm reveals how mankind has created sprawling civilizations of unrivalled complexity and provides some valuable insights into what it will take to sustain them.

Surprisingly enough, our planet has been home to horse-shoe crabs for longer than it has had fire. After all, you cannot have fire without atmospheric oxygen (a product of photosynthesis), and until the evolution of land plants, there was no fuel for lightning sparks to ignite. As Stephen J. Pyne eloquently describes, humanity’s exceptional relationship to fire has literally shaped our world, from the development of small guts and big heads through cooking food, to climbing the food chain by cooking landscapes, to harnessing the world-changing fire-power of fossil fuels. This insightful overview of human history puts forward the compelling idea that human actions (including prehistoric actions) have moved our planet from an ice age to a fire age.

It is easy to imagine that in the Stone Age, stone tools were the critical thing, that in the Bronze Age, bronze tools were the critical thing, and so on. The truth is that right up until very recent times, most of our technology was made from wood. Even before modern humans evolved, we were deeply shaped by the physical realities of wood, and the challenges and opportunities it provides. Large animals that live in trees need big brains and spatial awareness to avoid falling to their death, and the habitations of early humans were surely closely related to the nests made by non-human primates. Stone tools enabled improvements in wood handling and wood tools, bronze-enabled wooden wheels, and many of the long-term trends in human history make a lot more sense from a wood-centric perspective.

In short, this charming and unique history of humanity casts a familiar and often… show more.

This book provides a brief introduction to the concept of algorithms before discussing the limitations of computation. Specifically, Harel explains undecidable problems (that is, problems for which no algorithm exists) and infeasible problems (that is, problems for which only algorithms are known that have an exponential runtime). I like this book (and its splendid title) because of its focus on the limitations of computation. Harel does a marvelous job in explaining two difficult topics about computation. The understanding of any scientific discipline requires the understanding of its limits, and the limits of computation are as significant as they are surprising.

A simple (not perfect) test of whether you’re going to love this book: Just check out the author’s blog, called “shtetl-optimized”. The style is similar: sharp, funny, mixing professional theoretical Computer Science with broader takes.

I am still in the middle of the book, and nevertheless, I’m happy to recommend it. As an amateur with superficial CS knowledge, I am enjoying this introduction to classical complexity theory and the basic theory of quantum computation.

Aaronson’s distinctive style makes the ride all the more enjoyable. It’s neither a “real” textbook nor a pop-science book. It’s in a weird space somewhere in between, and I love it!