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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 real-world 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.
Customer ReviewsMost Helpful
By Tom Schwab on 05-24-16
Should be required reading in high school
My high school math teacher told us "figures never lie, but liars often figure" Reading EVERYDATA was an enjoyable way to learn how to make sense out of all the information presented to us each day. The authors gave real world and fun examples that make you think: Why is it true that is a southern Florida county most people are born Hispanic but die Jewish?
1 of 1 people found this review helpful
By A. Yoshida on 05-12-16
Good to become familiar with statistical concepts
The book is more about statistical concepts than making use of daily digital data. An example used in the book is the explosion of the Challenger, which happened in 1986. That's not a current event... has nothing to do with "big data" or "little data." It explained how the use of selective data led to the unanticipated disaster. The book is useful for readers who aren't familiar with statistics and want to learn. One story that fits with the title of the book is about Zillow, the website that gives "Zestimate" for the value of a house. People like to look at one number and think that is the answer. But they don't realize that an estimate is just that -- an estimate, which also includes a margin of error. That means some Zestimate will be on target, some above, and some below the actual value of the house.
5 of 7 people found this review helpful