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    Calling Bullshit by Carl T. Bergstrom Summary

    Calling Bullshit
    Carl T. Bergstrom
    4.11 (5108 Reviews)
    Communication skillScienceTechnology
    개요
    핵심 요점
    저자
    자주 묻는 질문

    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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    「Calling Bullshit」베스트 인용구

    “

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

    ”
    나만의 학습 방법 탐색하기
    Calling Bullshit은 단순한 책이 아닙니다 — Communication skill의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

    빠른 요약 모드 - Calling Bullshit 요약을 10분 만에 읽거나 듣기

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    Calling Bullshit의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.

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    Calling Bullshit을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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    재미있게 모드 - Calling Bullshit의 교훈을 22분 스토리로

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    무엇이든 개인화된 학습

    DiscordLinkedIn
    추천 도서 요약
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    인기 카테고리
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    유명인 추천 도서
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    수상작 컬렉션
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    추천 주제
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    연도별 베스트 도서
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    학습 도구
    Knowledge VisualizerAI Podcast Generator
    추천 저자
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs 다른 앱
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    핵심 내용

    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