Bad Science

Bad Science

Quacks, Hacks, and Big Pharma Flacks

Downloadable Audiobook - 2012
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Have you ever wondered how one day the media can assert that alcohol is bad for us and the next unashamedly run a story touting the benefits of daily alcohol consumption? Or how a drug that is pulled off the market for causing heart attacks ever got approved in the first place? How can average readers, who aren't medical doctors or Ph.D.s in biochemistry, tell what they should be paying attention to and what's, well, just more bullshit?Ben Goldacre has made a point of exposing quack doctors and nutritionists, bogus credentialing programs, and biased scientific studies. He has also taken the media to task for its willingness to throw facts and proof out the window. But he's not here just to tell you what's wrong. Goldacre is here to teach you how to evaluate placebo effects, double-blind studies, and sample sizes, so that you can recognize bad science when you see it. You're about to feel a whole lot better.
Publisher: [United States] : Tantor Audio : Made available through hoopla, 2012
Edition: Unabridged
ISBN: 9781452625898
1452625891
Characteristics: 1 online resource (1 audio file (540 min.)) : digital
Additional Contributors: Cowley, Jonathan
hoopla digital

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StarGladiator
Feb 05, 2015

Love this book, and I hate this book. You see, there's a reason why people are suspicious of corruption at the SEC, FDA and CDC - - it has been widely proven over and over and over and over again! The author does skewer Big Pharma [PHRMA] for suppression results, but people remain skeptical after being lied to repeatedly. Certain organizations lose all credibility after the fifth lie! I'm still not sold on vaccination studies, because so much profit derives from global vaccine sales. [And not enough studies done on the efficaciousness of vaccination.] Too many docs are paid to push questionable drugs and products. [Read Morbid Symptoms as a complementary book.] When a scientist's response is // conspiracy theorist \\ as opposed to stating the factual counterpoint studies, they should always be suspect.

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