Standard Deviations: Flawed Assumptions, Tortured Data and Other Ways to Lie with Statistics: the truth about flawed statistics, AI and Big Data

'A very entertaining book about a very serious problem. We deceive ourselves all the time with statistics, and it is time we wised up' Robert J. Shiller, winner of the Nobel Prize in Economics and author of Irrational Exuberance

Did you know that having a messy room will make you racist? Or that human beings possess the ability to postpone death until after important ceremonial occasions? Or that people live three to five years longer if they have positive initials, like ACE? All of these 'facts' have been argued with a straight face by researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, 'If you torture data long enough, it will confess.' Lying with statistics is a time-honoured con.

In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful deductions and total rubbish. Not only do others use data to fool us, we fool ourselves. Drawing on breakthrough research in behavioural economics by luminaries like Daniel Kahneman and Dan Ariely, and taking to task some of the conclusions of Freakonomics, Standard Deviations demystifies the science behind statistics and brings into stark relief the fraud that surrounds us all.