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download get [pdf] Calling Bullshit: The Art of Skepticism in a Data-Driven

"Link : https://greatfull.fileoz.club/slive/0525509186<br><br> <br>Bullshit&nbspisn&#8217t&nbspwhat it used to be.&nbspNow, two science professors give us the tools to dismantle misinformation and think clearly in a&nbspworld of fake news and bad data. &nbsp &#8220A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.&#8221&#8212WiredMisinformation, disinformation, and fake news abound and it&#8217 increasingly difficult to know what&#8217 true. Our media environment has become hyperpartisan. Science is conduc

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download get [pdf] Calling Bullshit: The Art of Skepticism in a Data-Driven

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  1. read ebook Calling Bullshit: The Art of Skepticism in a Data- Driven World Description : Bullshit&nbspisn#8217t&nbspwha it used to be.&nbspNow two science professors give us the tools to dismantle misinformation and think clearly in a&nbspword of fake news and bad data. &nbsp&#8220Amodern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.&#8221#8212WiredMisinformation, disinformation, and fake news abound and it&#8217increasingly difficult to know what&#8217true. 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

  2. spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don&#8217tfeel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In&nbspCaling Bullshit,&nbspProessors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don&#8217tneed 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.

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