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Isn’t it frustrating when you're unsure if you can trust what you read on Facebook, watch on YouTube, or hear on a podcast? Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true.
We need a set of powerful tools and the skill to cut through the most intimidating data!
That’s why I’m joined by Professor Jevin West in this episode. Jevin and his coauthor Carl Bergstrom are the authors of the book, Calling Bullshit: The Art of Skepticism in a Data-Driven World.
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? Tune in to understand selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.
Grab your copy of Calling Bullshit: The Art of Skepticism in a Data-Driven World here: https://amzn.to/2EklZj1
Or visit https://www.callingbullshit.org for more info.
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Connect with Curiosityness...
Instagram: https://www.instagram.com/curiositynesspodcast/
Website: https://www.curiosityness.com/
Facebook: https://www.facebook.com/curiosityness
Twitter: https://twitter.com/Curiositynesstv
Claim your FREE Curiosityness sticker at https://www.curiosityness.com/freesticker/
Find me, the host of Curiosityness on Instagram: https://www.instagram.com/travderose/
Or send me an email to [email protected]
4.7
560560 ratings
Isn’t it frustrating when you're unsure if you can trust what you read on Facebook, watch on YouTube, or hear on a podcast? Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true.
We need a set of powerful tools and the skill to cut through the most intimidating data!
That’s why I’m joined by Professor Jevin West in this episode. Jevin and his coauthor Carl Bergstrom are the authors of the book, Calling Bullshit: The Art of Skepticism in a Data-Driven World.
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? Tune in to understand selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.
Grab your copy of Calling Bullshit: The Art of Skepticism in a Data-Driven World here: https://amzn.to/2EklZj1
Or visit https://www.callingbullshit.org for more info.
--------------------------------
Connect with Curiosityness...
Instagram: https://www.instagram.com/curiositynesspodcast/
Website: https://www.curiosityness.com/
Facebook: https://www.facebook.com/curiosityness
Twitter: https://twitter.com/Curiositynesstv
Claim your FREE Curiosityness sticker at https://www.curiosityness.com/freesticker/
Find me, the host of Curiosityness on Instagram: https://www.instagram.com/travderose/
Or send me an email to [email protected]
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