Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.
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 …
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.
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.
Given the nature of our modern information ecosystem, everyone who owns a phone or uses any device that's connected to the internet (or reads a newspaper or watches TV) should read this book.
It lays out, in amusing layman's terms, a variety of ways that people can try to bullshit us. It's not a technical book. It reads easily, with accessible and humorous examples sprinkled throughout, and it provides practical knowledge for surviving in this world we've created.
I celebrate any a book focusing on scientific literacy and I congratulate the authors on trying to reach an important audience: people who already (try to) think critically but could use some guidance on methods and pitfalls.
The book style is not for me, though. Like other generic best sellers on the 10's and 20's, it uses a random swear word to refer to things that have proper descriptors used by specialists who are serious about this field. It abuses the elasticity of slang to lump together things that are tangential and makes the book longer than it should. Sometimes I started getting semantic satiation from all the bullshit jokes and metaphors going around.
The very end of the book reminds the reader: the book is about calling out "bullshit", not just identifying it. But the majority of the book feels like a textbook that defines exhaustively all the modern …
I celebrate any a book focusing on scientific literacy and I congratulate the authors on trying to reach an important audience: people who already (try to) think critically but could use some guidance on methods and pitfalls.
The book style is not for me, though. Like other generic best sellers on the 10's and 20's, it uses a random swear word to refer to things that have proper descriptors used by specialists who are serious about this field. It abuses the elasticity of slang to lump together things that are tangential and makes the book longer than it should. Sometimes I started getting semantic satiation from all the bullshit jokes and metaphors going around.
The very end of the book reminds the reader: the book is about calling out "bullshit", not just identifying it. But the majority of the book feels like a textbook that defines exhaustively all the modern types of "bullshit" through examples. This was a bit disappointing because like any anecdotal exposition, the majority of it is bound to be forgotten very quickly and the reader is left with very little in terms of long term behavioral changes.
If the book is about preparing readers to engage on questionable information, I think the book betrays the promise by investing so much on categorizing and exemplifying and so little in coaching the readers to do that by themselves. But of course if the point was to tell people to rely on fact checking agencies and reverse search images, there would be no book to write.
I do highly recommend the companion website (www.callingbullshit.org/) as an evergreen resource, specially the Tools and Case Studies sections.
