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Calling Bullshit: The Art of Skepticism in a Data-Driven World Hardcover – August 4, 2020
| Carl T. Bergstrom (Author) Find all the books, read about the author, and more. See search results for this author |
| Jevin D. West (Author) Find all the books, read about the author, and more. See search results for this author |
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“A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired
Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.
You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.
We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.
- Print length336 pages
- LanguageEnglish
- PublisherRandom House
- Publication dateAugust 4, 2020
- Dimensions6.5 x 1.1 x 9.54 inches
- ISBN-100525509186
- ISBN-13978-0525509189
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Editorial Reviews
Review
“A passionate exposition of how the language of science can be weaponized to mislead both researchers and the public . . . landing just when it has never been more important to know how to navigate data.”—Nature
“The information landscape is strewn with quantitative cowflop; read this book if you want to know where not to step.”—Jordan Ellenberg, author of How Not to be Wrong
“If I could make this critical handbook’s contents required curriculum for every high school student (thus replacing trigonometry), then I would do so. I highly recommend Calling Bullshit for our modern existence in the age of misinformation, and regret only that I didn’t think of the title for my own book.”—Cathy O’Neil, author of Weapons of Math Destruction
“I laughed, I cried—to read Bergstrom and West’s great examples of ‘bullshit.’ This is a gripping read for anybody who cares about how we are fooled (and how not to be), and the connection to numeracy and science. But it’s also just great fun. This is a necessary book for our times.”—Saul Perlmutter, Nobel Laureate and professor of physics, University of California at Berkeley
“If you want to read what will surely be a classic, buy Calling Bullshit. It addresses the most important issue of our time: the decline in respect for Truth. It is also a literary masterpiece. Every page—indeed, every paragraph—is a new bit of fun.” —George Akerlof, 2001 Nobel Laureate in economics
“Each of us now swims through deception so pervasive that we no longer realize it’s there. Calling Bullshit presents a master class in how to spot it, how to resist it, and how to keep it from succeeding.”—Paul Romer, 2018 Nobel Laureate in economics
“Part playful polemic and part serious scientific treatise on a plague that ‘pollutes our world by misleading people about specific issues and . . . undermines our ability to trust information in general’ . . . a statistically challenging master class in the art of bullshit detection.”—Kirkus Reviews
About the Author
Jevin D. West is an associate professor in the Information School at the University of Washington. He is the director of UW’s Center for an Informed Public and co-director of its DataLab, where he studies the science of science and the impact of technology on society. He also coordinates data science education at UW’s eScience Institute.
Excerpt. © Reprinted by permission. All rights reserved.
Bullshit Everywhere
This is a book about bullshit. It is a book about how we are inundated with it, about how we can learn to see through it, and about how we can fight back. First things first, though. We would like to understand what bullshit is, where it comes from, and why so much of it is produced. To answer these questions, it is helpful to look back into deep time at the origins of the phenomenon.
Bullshit is not a modern invention. In one of his Socratic dialogues, Euthydemus, Plato complains that the philosophers known as the Sophists are indifferent to what is actually true and are interested only in winning arguments. In other words, they are bullshit artists. But if we want to trace bullshit back to its origins, we have to look a lot further back than any human civilization. Bullshit has its origins in deception more broadly, and animals have been deceiving one another for hundreds of millions of years.
Cheating crustaceans and devious ravens
The oceans are full of fierce and wonderful creatures, but few are as badass as the marine crustaceans known as the mantis shrimp or, in more technical circles, stomatopods. Some specialize in eating marine snails, which are protected by hard, thick shells. To smash through these calcite defenses, mantis shrimp have evolved a spring-loading mechanism in their forelimbs that allows them to punch with enormous force. Their hammer-like claws travel 50 mph when they strike. The punch is so powerful that it creates an underwater phenomenon known as cavitation bubbles, a sort of literal Batman “KAPOW!” that results in a loud noise and a flash of light. In captivity they sometimes punch right through the glass walls of their aquariums.
This punching power serves another purpose. Mantis shrimp live on shallow reefs, where they are vulnerable to moray eels, octopi, sharks, and other predators. To stay safe, they spend much of their time holed up in cavities in the reef, with just their powerful foreclaws exposed. But suitable cavities are in short supply, and this can lead to fights. When an intruder approaches a smaller resident, the resident typically flees. But if the resident is big enough, it waves its claws in a fierce display, demonstrating its size and challenging its opponent.
Like any superhero, however, mantis shrimp have an Achilles’ heel. They have to molt in order to replace the hard casings of their hammer claws—which as you can imagine take more than their share of abuse. During the two or three days that the animal is molting, it is extremely vulnerable. It can’t punch, and it lacks the hard shell that normally defends it against predators. Pretty much everything on the reef eats everything else, and mantis shrimp are essentially lobster tails with claws on the front.
So if you’re a molting mantis shrimp holed up in a discreet crevice, the last thing you want to do is flee and expose yourself to the surrounding dangers. This is where the deception comes in. Normally, big mantis shrimp wave their claws—an honest threat—and small mantis shrimp flee. But during molting, mantis shrimp of any size perform the threat display, even though in their current state they can’t punch any harder than an angry gummy bear. The threat is completely empty—but the danger of leaving one’s hole is even greater than the risk of getting into a fight. Intruders, aware that they’re facing the mantis shrimp’s fierce punch, are reluctant to call the bluff.
Stomatopods may be good bluffers, and bluffing does feel rather like a kind of bullshit—but it’s not very sophisticated bullshit. For one thing, this behavior isn’t something that these creatures think up and decide to carry out. It is merely an evolved response, a sort of instinct or reflex.
A sophisticated bullshitter needs a theory of mind—she needs to be able to put herself in the place of her mark. She needs to be able to think about what the others around her do and do not know. She needs to be able to imagine what impression will be created by what sort of bullshit, and to choose her bullshit accordingly.
Such advanced cognition is rare in the animal kingdom. We have it. Our closest primate relatives, chimpanzees and gorillas, may have it as well. Other apes and monkeys do not seem to have this capacity. But one very different family does: Corvidae.
We know that corvids—ravens, crows, and jays—are remarkably intelligent birds. They manufacture the most sophisticated tools of any nonhuman species. They manipulate objects in their environment to solve all manners of puzzle. The Aesop’s fable about the crow putting pebbles into an urn to raise the water level is probably based on a real observation; captive crows can figure out how to do this sort of thing. Ravens plan ahead for the future, selecting objects that may be useful to them later. Crows recognize human faces and hold grudges against those who have threatened or mistreated them. They even pass these grudges along to their fellow crows.
We don’t know exactly why corvids are so smart, but their lifestyle does reward intelligence. They live a long time, they are highly social, and they creatively explore their surroundings for anything that might be edible. Ravens in particular may have evolved alongside pack-hunting species such as wolves and ourselves, and are excellent at tricking mammals out of their food.
Because food is sometimes plentiful and other times scarce, most corvid species cache their food, storing it in a safe place where it can be recovered later. But caching is a losing proposition if others are watching. If one bird sees another cache a piece of food, the observer often steals it. As a result, corvids are cautious about caching their food in view of other birds. When being watched, ravens cache quickly, or move out of sight before hiding their food. They also “fake-cache,” pretending to stash a food item but actually keeping it safely in their beak or crop to be properly cached at a later time.
So when a raven pretends to cache a snack but is actually just faking, does that qualify as bullshitting? In our view, this depends on why the raven is faking and whether it thinks about the impression its fakery will create in the mind of an onlooker. Full-on bullshit is intended to distract, confuse, or mislead—which means that the bullshitter needs to have a mental model of the effect that his actions have on an observer’s mind. Do corvids have a theory of mind? Do they understand that other birds can see them caching and are likely to steal from them? Or do they merely follow some simple rule of thumb—such as “cache only when no other ravens are around”—without knowing why they are doing so? Researchers who study animal behavior have been hard-pressed to demonstrate that any nonhuman animals have a theory of mind. But recent studies suggest that ravens may be an exception. When caching treats, they do think about what other ravens know. And not only do ravens act to deceive other birds sitting right there in front of them; they recognize that there might be other birds out there, unseen, who can be deceived as well. That is pretty close to what we do when we bullshit on the Internet. We don’t see anyone out there, but we hope and expect that our words will reach an audience.
Ravens are tricky creatures, but we humans take bullshit to the next level. Like ravens, we have a theory of mind. We can think in advance about how others will interpret our actions, and we use this skill to our advantage. Unlike ravens, we also have a rich system of language to deploy. Human language is immensely expressive, in the sense that we can combine words in a vast number of ways to convey different ideas. Together, language and theory of mind allow us to convey a broad range of messages and to model in our own minds what effects our messages will have on those who hear them. This is a good skill to have when trying to communicate efficiently—and it’s equally useful when using communication to manipulate another person’s beliefs or actions.
That’s the thing about communication. It’s a two-edged sword. By communicating we can work together in remarkable ways. But by paying attention to communication, you are giving other people a “handle” they can use to manipulate your behavior. Animals with limited communication systems—a few different alarm calls, say—have just a few handles with which they can be manipulated. Capuchin monkeys warn one another with alarm calls. On average this saves a lot of capuchin lives. But it also allows lower-ranking monkeys to scare dominant individuals away from precious food: All they have to do is send a deceptive alarm call in the absence of danger. Still, there aren’t all that many things capuchins can say, so there aren’t all that many ways they can deceive one another. A capuchin monkey can tell me to flee, even if doing so is not in my best interest. But it can’t, say, convince me that it totally has a girlfriend in Canada; I’ve just never met her. Never mind getting me to transfer $10,000 into a bank account belonging to the widow of a mining tycoon, who just happened to ask out of the blue for my help laundering her fortune into US currency.
So why is there bullshit everywhere? Part of the answer is that everyone, crustacean or raven or fellow human being, is trying to sell you something. Another part is that humans possess the cognitive tools to figure out what kinds of bullshit will be effective. A third part is that our complex language allows us to produce an infinite variety of bullshit.
Product details
- Publisher : Random House; Illustrated edition (August 4, 2020)
- Language : English
- Hardcover : 336 pages
- ISBN-10 : 0525509186
- ISBN-13 : 978-0525509189
- Item Weight : 1.2 pounds
- Dimensions : 6.5 x 1.1 x 9.54 inches
- Best Sellers Rank: #39,344 in Books (See Top 100 in Books)
- #51 in Linguistics Reference
- #68 in Political Corruption & Misconduct
- #105 in Medical Applied Psychology
- Customer Reviews:
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About the authors

Carl Bergstrom is a professor of biology at the University of Washington. He studies how information flows through the world — from how animals communicate with one another to how social media is changing our society.

Jevin West is an Associate Professor in the Information School at the University of Washington and the Director of the Center for an Informed Public. He studies how technology and data both help and hinder science and democratic discourse.
Customer reviews
Top reviews from the United States
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One major flaw is the author's unfortunate choice not to number their references, and instead provide readers with an alphabetized list at the end wherein one is forced to make a best guess at matching the correct referenced material behind the statements made within the text. This choice of format soon gets rather annoying and is somewhat ironic, given the title of the book, and the emphasis the authors repeatedly place on proper fact checking.
Note to the authors: Within the preface section, the letter "M" used within the acronym STEM, as per Charles Vela, and subsequently the NSF, is intended to refer to Mathematics, not Medicine.
So creating BS is easy; refuting it is hard. And it is precisely this asymmetry that explains why BS persists and how it can even grow over time.
So how can one hope to rid the world of increasing levels of BS? Since it’s easier to create BS than to refute it, simply refuting each new instance of BS seems like a losing battle. The better strategy is educational; if you can inoculate enough people against falling for BS in the first place, BS never gains enough traction to require costly efforts at refutation.
This, in essence, is the goal of the book. The authors want to immunize you against BS, with a focus on the quantitative variety. While it’s relatively easy to identify old-school BS based on flowery language and empty rhetoric, new-school BS is more insidious and sophisticated with its use of statistics, charts, graphs, and scientific-sounding claims. This is the BS that is more persuasive, harder to refute, and ultimately more dangerous.
The authors first note that while arguments based on statistical and scientific reasoning can appear intimidating, there are basic fallacies that one can look out for that do not require any advanced mathematical ability. It is rarely necessary to look into the “black box”—the authors’ term for complex equations, algorithms, or scientific processes—when the problem with BS is often the data that feeds into the black box. Recognizing that the data is biased or unrepresentative of the larger population, for example, is an easy method of spotting BS that does not require any skills in higher mathematics.
The authors then take the reader on a tour of quantitative fallacies with several examples, all explained clearly and with humor. The reader will learn how to differentiate between correlation and causation, spot biased and unrepresentative data and small sample sizes, identify selection biases in samples, understand how data can be manipulated visually, and more. The reader will also learn how to properly evaluate scientific claims, and how the anti-vaxx movement is based on a single, thoroughly-debunked scientific study that massively confuses correlation with causation, among many other problems.
One of my favorite chapters, chapter 8, has the authors calling BS on arguments that claim that artificial intelligence will take over the world. This has always been BS and likely always will be, as the authors demonstrate the limits of how machines are designed to “think.”
The book ends with a couple summary chapters on how to spot and refute BS, and also on the difference between calling legitimate BS and becoming what the authors refer to as a “well-actually guy.” Perhaps the most important point of the book is the idea that the goal of calling BS is not to demonstrate your intelligence and puff up your ego; it’s to counter the spread of misinformation in the world and its direct and indirect consequences.
Overall, I suppose that if the reader has a lot of experience with informal logic and spotting fallacies—particularly of a quantitative nature—then this book might not offer anything particularly new. Although even then the book is filled with interesting, updated examples and a ton of polemical humor which makes the book a fun read. If, on the other hand, the reader has limited experience with these concepts, this book is a must read as it shows how quantitative BS can be spotted and refuted with even the most limited of mathematical ability.
As far as real science goes, I'm a layperson, and so are all of my friends. Lately I have been watching as some of my friends pass around scientific studies to justify increasingly extreme beliefs, and I feel powerless to step in as a voice of reason, because even if these studies had methodological flaws, I would be unable to find them. However, while reading chapter 3, I had a major breakthrough when the authors described a process for treating methodology as a black box, and focusing critically on the input data instead.
While dense with valuable insight, the book is an easy read and is sprinkled with great humor throughout. Thank you, Carl and Jevin, for giving people like me the tools to combat cargo cult science!
I have many books on skeptical thinking. This is a good one, and very current.
Top reviews from other countries
The middle part explores the main fallacies that can arise when using data to support an argument. The difficult relationship between correlation and causation, selection bias, data visualisation and overfitting are the main themes explored here. As well as giving a great explanation of the basic ideas, the authors manage to explain quite technical concepts, such as Berkson's Paradox and the observation selection effect, in an easy and comprehensible way.
Chapter 9 stands out as an outlier, exploring one of the authors academic interests, the "Science of science". How does science works, what are its problems? Why do scientists spend their time catfighting on Twitter and why, nevertheless, science works?
The final part is a summary of the presented ideas, and proposes a strategy on how to spot and refute BS, without becoming a "well, actually" guy.
While someone with training in quantitative research might not learn much from this book, it is a great resource for the rest to deal with a data-driven, information-flooded world. I always thought that studying statistics and probability would equip people with exceptional instruments to process information. It turns out that this book gets you a long way there (even if not completely there, obviously), without a single equation. Also, it's great fun.
Reviewed in the United Kingdom on August 28, 2020
Reviewed in the United Kingdom on September 22, 2021
Si le contenu semble au RDV, la couverture elle est de très très très piètre qualité... Doublé d'un vendeur qui ne prends pas soin de l'ouvrage, on recoit ça dans un état lamentable ! Vraiment inadmissible quand on les voit vendre ça au delà de sa vrai valeur (cet ouvrage est à 20 livres à la base, c'est écrit dessus). Je ne suis pas très regardant sur les détails, mais là cette couverture est clairement abusive: on dirait une page blanche imprimée à la maison, qui n'est même pas adaptée aux dimensions du livre... Les pages sont elles aussi de mauvaise facture. Les figures de l'ouvrage sont en noir et blanc, on comprends mieux ce choix en voyant les pages. L'éditeur a clairement une intention d'économie, de même pour le vendeur. J'ai payé l'ouvrage 10 euros au dessus de sa vrai valeur, et je le regrette amèrement. Pourtant je ne demandais pas grand chose d'autre que la version papier d'un cours que j'ai suivit et d'un epub que je possede. J'attendais cet ouvrage avec impatience... Dommage pour les auteurs, ils n'ont pas su choisir l'éditeur et les revendeurs. Suivez leur cours, au pire lisez ça en format epub (même si, comme moi vous aimez le papier), ca donne plus envie que la forme sous laquelle ça semble avoir été publié !
















