Here are 100 books that The Book of Why fans have personally recommended if you like
The Book of Why.
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The art of computer programming is a lot like the art of writing: It's not just about what your program says but about how it says it. One of the reasons I like the C and C++ languages—which I picked up in the late 1990s and haven't put down since—is that, as compiled, non-sandboxed languages, they promise total control over the machine. Show me where you want each byte of data to go in memory; show me the machine instructions you want; and I can make C++ do that for you.
Every "computer person" should read GEB at least once. Preferably in high school, when you still have the free time to dive deep into all the recreational math exercises. If you're already working 40-hour weeks and wonder who has time for Hofstadter's 750-page "metaphorical fugue on minds and machines," all I can say is: Better late than never!
Douglas Hofstadter's book is concerned directly with the nature of maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Goedel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.
The Beatles are widely regarded as the foremost and most influential music band in history and their career has been the subject of many biographies. Yet the band's historical significance has not received sustained academic treatment to date. In The Beatles and the 1960s, Kenneth L. Campbell uses The…
Michael Patrick Lynch is Board of Trustees Distinguished Professor of Philosophy and Provost Professor of the Humanities at the University of Connecticut. His books have been translated into a dozen languages and include On Truth in Politics: Why Democracy Demands It, The Internet of Us, True to Life (Editor’s Choice, The New York Times Sunday Book Review), and Know-it-All Society (winner of the 2019 George Orwell Award). Lynch’s work has been profiled in The New Yorker, The New York Times, Nature, The Guardian, The Washington Post, and many other publications worldwide; his 2017 TED talk has been viewed nearly 2 million times. He lives in CT with his family and one very philosophical dog.
This book gave me a deeper appreciation of how moral intuitions shape political divisions—not as accidents of ideology but as features of human psychology. Haidt’s metaphor of the elephant and the rider helped me see why rational argument so often fails to persuade across political lines: because reason follows intuition, not the other way around.
His mapping of multiple “moral taste buds”—including authority, loyalty, and sanctity—also challenged the narrow moral frameworks that dominate secular discourse. While I don’t agree with everything—particularly his optimistic lean toward moral equilibrium or his underemphasis on structural power—I admire his effort to move us beyond outrage toward curiosity. It’s a valuable guide for understanding why we talk past one another—and how we might start listening instead.
'A landmark contribution to humanity's understanding of itself' The New York Times
Why can it sometimes feel as though half the population is living in a different moral universe? Why do ideas such as 'fairness' and 'freedom' mean such different things to different people? Why is it so hard to see things from another viewpoint? Why do we come to blows over politics and religion?
Jonathan Haidt reveals that we often find it hard to get along because our minds are hardwired to be moralistic, judgemental and self-righteous. He explores how morality evolved to enable us to form communities, and…
I’m a professor of computer science at Oregon State University. My research focus is on programming languages, but I also work on computer science education and outreach. I grew up in Germany and moved to the United States in 2000. Since computer science is a fairly new and not widely understood discipline, I am interested in explaining its core ideas to the general public. I believe that in order to attract a more diverse set of people to the field we should emphasize that coding is only a small part of computer science.
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.
"Witty, compelling, and just plain fun to read . . ." -Evelyn Lamb, Scientific American
The Freakonomics of math-a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands
The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn't confined to abstract incidents that never occur in real life, but rather touches everything we do-the whole world is shot through…
Everybody knows that all animals—bats, bears, sharks, ponies, and people—start out as a single cell: the fertilized egg. But how does something no bigger than the period at the end of this sentence give rise to the remarkable complexity of each of these creatures?
Leadership is the key ingredient that moves the needle. Each of us has the right—and duty—to be a leader of our life and family, organization and society, and to inspire others for something bigger than ourselves, something that has not been done before. But why am I so passionate about leadership? Why is it the focus of my books, my teaching, my company? It all started in my youth: The defining moment came after my sister’s death to a heroin overdose. I stood at my sister’s grave and decided I would never be a victim of circumstances—I would pursue self-determination. Leadership is the exact opposite of victimhood.
Any book by Michael Lewis is fun and educational, but this one I couldn’t put down. In 2002, for the first time, the Nobel prize for economics did not go to an economist but to a psychologist—Daniel Kahneman—who had single-handedly (with his genius collaborator Amos Tversky) disrupted the economics profession and its core theories—much like Einstein had transformed our understanding of reality and Freud of ourselves—and created an entirely new field called behavioral economics.
This is the story of a remarkable partnership of two eminent scientists who brought about this revolution. Tversky and Kahneman had such a close relationship that even their wives became jealous. This book might make you laugh and cry. And you might learn much about cutting-edge economics and our chronic biases.
'Michael Lewis could spin gold out of any topic he chose ... his best work ... vivid, original and hard to forget' Tim Harford, Financial Times
'Gripping ... There is war, heroism, genius, love, loss, discovery, enduring loyalty and friendship. It is epic stuff ... Michael Lewis is one of the best non-fiction writers of our time' Irish Times
From Michael Lewis, No.1 bestselling author of The Big Short and Flash Boys, this is the extraordinary story of the two men whose ideas changed the world.
Daniel Kahneman and Amos Tversky met in war-torn 1960s Israel. Both were gifted young…
I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations
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.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic…
I am a scientist and inventor, who has always been drawn to grand, overarching narratives, and unifying ideas. I have degrees in Mathematics and Architecture, a PhD in Biophysics, and spent 11 years studying fungal networks at the University of Oxford. I am currently working with the award-winning architect Ben Allen, to commercialize a patent for making POMB (poly-organic mycelium blend): a light-transmitting, thermally insulating, carbon-negative building material.
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.
A specialist on social insects writes about the origins and implications of our own vast social organisation, and the ways in which our ethnic and national distinctions mirror those of other animals.
In this paradigm-shattering book, biologist Mark W. Moffett draws on findings in psychology, sociology and anthropology to explain the social adaptations that bind societies. He explores how the tension between identity and anonymity defines how societies develop, function, and fail. In the vein of Guns, Germs, and Steel and Sapiens, The Human Swarm reveals how mankind created sprawling civilizations of unrivalled complexity - and what it will take…
The fascinating history of a daring team of sexologists who built the first trans clinic in the shadow of the Third Reich.
Set in interwar Germany, The Intermediaries tells the forgotten story of the Institute for Sexual Science, the world’s first center for homosexual and transgender rights. Headed by a…
I am a scientist and inventor, who has always been drawn to grand, overarching narratives, and unifying ideas. I have degrees in Mathematics and Architecture, a PhD in Biophysics, and spent 11 years studying fungal networks at the University of Oxford. I am currently working with the award-winning architect Ben Allen, to commercialize a patent for making POMB (poly-organic mycelium blend): a light-transmitting, thermally insulating, carbon-negative building material.
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.
A provocative rethinking of how humans and fire have evolved together over time-and our responsibility to reorient this relationship before it's too late.
The Pyrocene tells the story of what happened when a fire-wielding species, humanity, met an especially fire-receptive time in Earth's history. Since terrestrial life first appeared, flames have flourished. Over the past two million years, however, one genus gained the ability to manipulate fire, swiftly remaking both itself and eventually the world. We developed small guts and big heads by cooking food; we climbed the food chain by cooking landscapes; and now we have become a geologic…
I have had a long, fruitful career as a business leader, entrepreneur, and inventor in the energy and chemicals industry with seven scientific patents. I'm the founder/CEO of Chem Systems, Inc., lectured at MIT about entrepreneurship and innovation, and recently wrote a book exploring industrial inventions tracing back to the Industrial Revolution. All inventors share the same qualities: they see opportunities, stay persistent, and maintain their faith in the value of their innovation. The books on this list celebrate those qualities and honor the innovators who embody them. The authors highlight the common threads binding past, present, and future together, showing how humanity's progress depends on innovation.
This book changed my perspective on human history. Ennos mixes history and science to tell a sweeping tale about how our relationship with wood enormously influenced civilization.
I love the way Ennos takes readers all over the world—to its forests and cities—to trace this fascinating true story. He goes all that way back to our origins to show that discovering how to use wood propelled us forward. This is a wonderful book that serves as a reminder of just how critical materials are to humanity and how learning how to best employ them has propelled us forward.
A “smart and surprising” (Booklist) “expansive history” (Publishers Weekly) detailing the role that wood and trees have played in our global ecosystem—including human evolution and the rise and fall of empires—in the bestselling tradition of Yuval Harari’s Sapiens and Mark Kurlansky’s Salt.
As the dominant species on Earth, humans have made astonishing progress since our ancestors came down from the trees. But how did the descendants of small primates manage to walk upright, become top predators, and populate the world? How were humans able to develop civilizations and produce a globalized economy? Now, in The Age of Wood, Roland Ennos…
I’m a professor of computer science at Oregon State University. My research focus is on programming languages, but I also work on computer science education and outreach. I grew up in Germany and moved to the United States in 2000. Since computer science is a fairly new and not widely understood discipline, I am interested in explaining its core ideas to the general public. I believe that in order to attract a more diverse set of people to the field we should emphasize that coding is only a small part of computer science.
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.
Computers are incredible. They are one of the most important inventions of the 20th century, dramatically and irrevocably changing the way we live. That is the good news. The bad news is that there are still major limitations to computers, serious problems that not even the most powerful computers can solve. The consequences of such limitations can be serious. Too often these limits get overlooked, in the quest for bigger, better, and more powerful computers. In Computers Ltd., David Harel, best-selling author of Algorithmics, explains and illustrates one of the most fundamental, yet under-exposed facets of computers - their inherent…
The Bridge provides a compassionate and well researched window into the worlds of linear and circular thinking. A core pattern to the inner workings of these two thinking styles is revealed, and most importantly, insight into how to cross the distance between them. Some fascinating features emerged such as, circular…
I am an academic researcher and an avid non-fiction reader. There are many popular books on science or music, but it’s much harder to find texts that manage to occupy the space between popular and professional writing. I’ve always been looking for this kind of book, whether on physics, music, AI, or math – even when I knew that as a non-pro, I wouldn’t be able to understand everything. In my new book I’ve been trying to accomplish something similar: A book that can intrigue readers who are not professional economic theorists, that they will find interesting even if they can’t follow everything.
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!
Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible…
