Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics

Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics

Gary Smith

“A very enjoyable booklet a few very significant issue. We misinform ourselves for all time with records, and it's time we wised up.” –Robert J. Shiller, Winner of the Nobel Prize in Economics

do you know that baseball avid gamers whose names commence with the letter “D” usually tend to die younger? Or that Asian americans are so much vulnerable to middle assaults at the fourth day of the month? Or that ingesting a whole pot of espresso each morning will upload years in your lifestyles, yet one cup an afternoon raises the danger of pancreatic melanoma? All of those “facts” were argued with a immediately face by way of credentialed researchers and subsidized up with reams of knowledge and convincing statistics.

As Nobel Prize–winning economist Ronald Coase as soon as cynically saw, “If you torture info lengthy adequate, it is going to confess.” mendacity with records is a everyday con. In ordinary Deviations, economics professor Gary Smith walks us in the course of the a number of methods and traps that folks use to again up their very own crackpot theories. occasionally, the unscrupulous intentionally attempt to misinform us. different occasions, the well-intentioned are blissfully blind to the mischief they're committing. this present day, facts is so abundant that researchers spend worthwhile little time distinguishing among reliable, significant signs and overall garbage. not just do others use facts to idiot us, we idiot ourselves.

With the breakout luck of Nate Silver’s The sign and the Noise, the as soon as humdrum topic of records hasn't ever been warmer. Drawing on step forward examine in behavioral economics via luminaries like Daniel Kahneman and Dan Ariely and taking to activity a few of the conclusions of Freakonomics writer Steven D. Levitt, general Deviations demystifies the technology at the back of records and makes it effortless to identify the fraud all around.

London instances e-book of the Week (2014) 50 graphs and eight b&w illustrations

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