While everyone is talking about "big data," the truth is that understanding the "little data"-the stats that underlie newspaper headlines, stock reports, weather forecasts, and so on-is what helps you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day, but has no idea how to interpret it correctly. EVERYDATA explains, through the eyes of an expert economist and statistician, how to decipher the small bytes of data we consume in a day.
EVERYDATA is filled with countless examples of people misconstruing data-with results that range from merely frustrating to catastrophic:
The space shuttle Challenger exploded in part because the engineers were reviewing a limited sample set.
Millions of women avoid caffeine during pregnancy because they interpret correlation as causation.
Attorneys faced a $1 billion jury verdict because of outlier data.
Each chapter highlights one commonly misunderstood data concept, using both realworld and hypothetical examples from a wide range of topics, including business, politics, advertising, law, engineering, retail, parenting, and more. You'll find the answer to the question-"Now what?"-along with concrete ways you can use this information to immediately start making smarter decisions, today.
by H. James Dallas
by John McPhee
by John Le Carre
by John Jantsch
by John Edson
by John Jantsch, Phil Singleton
by Bob Burg, John David Mann
by Carrie H. Johnson
by Brenda Woods
by Danny Johnson
by Brandi Johnson
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