EVERYDATA™ explains, through the eyes of an expert economist and statistician, how to understand all the "little data" you see each day, from newspaper headlines and weather forecasts, to stock reports and election polls.
"This book educates readers on how to navigate the increasingly dense information environment… [Johnson and Gluck] hit key points on the importance of information literacy today." — Publishers Weekly
“With fun and verve, John and Mike take us through the essential steps to becoming a sophisticated consumer of the data that surrounds us." — Esther Duflo, professor of Economics, MIT, and co-founder and co-director, J-PAL
EVERYDATA™ is filled with countless examples of people misinterpreting data – often with catastrophic results. For example:
The Space Shuttle Challenger exploded because of a limited sample set
The media uses misleading forecasts to report on elections
Attorneys faced a $1 billion jury verdict due to outlier data
Pregnant women avoid caffeine because they interpret correlation as causation