BookShared
  • MEMBER AREA    
  • Calling Bullshit: The Art of Skepticism in a Data-Driven World

    (By Carl T. Bergstrom)

    Book Cover Watermark PDF Icon Read Ebook
    ×
    Size 23 MB (23,082 KB)
    Format PDF
    Downloaded 612 times
    Last checked 10 Hour ago!
    Author Carl T. Bergstrom
    “Book Descriptions: 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.

    It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. 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.”

    Google Drive Logo DRIVE
    Book 1

    The Art of Statistics: How to Learn from Data

    ★★★★★

    David Spiegelhalter

    Book 1

    Everything Is Predictable: How Bayesian Statistics Explain Our World

    ★★★★★

    Tom Chivers

    Book 1

    How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers

    ★★★★★

    Tim Harford

    Book 1

    Possible: How We Survive (and Thrive) in an Age of Conflict

    ★★★★★

    William Ury

    Book 1

    The Model Thinker: What You Need to Know to Make Data Work for You

    ★★★★★

    Scott E. Page

    Book 1

    Artificial Intelligence: A Guide for Thinking Humans

    ★★★★★

    Melanie Mitchell

    Book 1

    Noise: A Flaw in Human Judgment

    ★★★★★

    Daniel Kahneman

    Book 1

    The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

    ★★★★★

    Erik J. Larson

    Book 1

    Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

    ★★★★★

    Cathy O'Neil

    Book 1

    How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything In Between

    ★★★★★

    Bent Flyvbjerg

    Book 1

    The Geek Way: The Radical Mindset that Drives Extraordinary Results

    ★★★★★

    Andrew McAfee

    Book 1

    The Delusions Of Crowds: Why People Go Mad in Groups

    ★★★★★

    William J. Bernstein

    Book 1

    The Art of Logic in an Illogical World

    ★★★★★

    Eugenia Cheng

    Book 1

    The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice

    ★★★★★

    Chris Chambers