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 e-book a couple of very major problem. We mislead ourselves for all time with statistics, 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 liable to center assaults at the fourth day of the month? Or that ingesting a whole pot of espresso each morning will upload years on your existence, yet one cup an afternoon raises the danger of pancreatic melanoma? All of those “facts” were argued with a immediately face by means of credentialed researchers and sponsored 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's going to confess.” mendacity with information is a standard con. In common Deviations, economics professor Gary Smith walks us throughout the quite a few methods and traps that individuals use to again up their very own crackpot theories. occasionally, the unscrupulous intentionally attempt to lie to us. different instances, the well-intentioned are blissfully blind to the mischief they're committing. at the present time, facts is so considerable that researchers spend important little time distinguishing among solid, significant symptoms and overall garbage. not just do others use information 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 study in behavioral economics by means of luminaries like Daniel Kahneman and Dan Ariely and taking to job a few of the conclusions of Freakonomics writer Steven D. Levitt, average Deviations demystifies the technology at the back of information and makes it effortless to identify the fraud all around.

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

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