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    Calling Bullshit by Carl T. Bergstrom Summary

    Calling Bullshit
    Carl T. Bergstrom
    4.11 (5108 Reviews)
    Communication skillScienceTechnology
    概述
    核心要点
    作者
    常见问题

    Overview of Calling Bullshit

    In a world drowning in data, "Calling Bullshit" equips you with essential skepticism skills. Born from a viral University of Washington course, this modern classic by Bergstrom and West has transformed how educators and scientists approach misinformation. Ready to detect statistical deception hiding in plain sight?

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    “

    The point of modern propaganda isn't only to misinform or push an agenda. It is to exhaust your critical thinking, to annihilate truth.

    ”
    探索你的学习方式
    《Calling Bullshit》不仅仅是一本书——它是Communication skill领域的大师课。为了帮助你以最适合的方式吸收书中精华,我们提供五种独特的学习模式。无论你是深度思考者、快速学习者还是故事爱好者,总有一种模式适合你。

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    核心要点

    1

    When Numbers Lie and Algorithms Deceive

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    A raven watches you hide food, then pretends to cache its own meal in one spot while secretly storing it elsewhere. This isn't just animal cunning-it's sophisticated deception, a glimpse into how deeply rooted misleading behavior runs in nature. But humans have taken deception to an entirely different level. We don't just hide food; we manipulate beliefs, distort data, and flood the information ecosystem with what can only be called bullshit. And here's the troubling part: false news spreads six times faster than truth on social media. In this landscape, where a single misleading graph or statistic can shape public opinion overnight, learning to detect deception isn't just useful-it's essential for survival. Deception has always been part of human communication, but the internet has supercharged its reach and impact. Consider "paltering"-the art of being technically truthful while deliberately misleading. Bill Clinton's famous "there is no sexual relationship" defense exemplified this perfectly: true in the present tense, yet designed to deceive about the past. Corporations have mastered this technique. When faced with allegations about child labor in their supply chain, Fiat Chrysler responded with vague promises of "collaborative action with global stakeholders" rather than addressing the four-year-olds working in crude mines for pennies. The words sound responsible while meaning nothing. The digital age hasn't just preserved these old tricks-it's amplified them exponentially. During the Boston Marathon bombing, a false story about an eight-year-old Sandy Hook survivor being killed received 92,000 shares. The correction? Just 2,000. This isn't an isolated incident but a structural feature of how information spreads online. Truth comes limping after falsehood, consistently outpaced and outperformed.

    2

    How Media Economics and Polarization Destroyed Truth

    3

    The Correlation Trap and Causation Confusion

    4

    The Dangerous Authority of Numbers and Misleading Metrics

    5

    When Algorithms Learn the Wrong Lessons

    6

    Science's Self-Inflicted Wounds and Publication Problems

    7

    Your Practical Defense Against Deception