In today's information-driven workplace, information professionals must know when research evidence or relevant legal, business, personal or other information is required, how to find it, how to critique it and how to integrate it into one's knowledge base.
There are right and wrong ways to look at numbers, and Downey will help you see which are which. Probably Overthinking It uses real data to delve into real examples with real consequences, drawing on cases from health campaigns, political movements, chess rankings, and more. He lays out common pitfalls—like the base rate fallacy, length-biased sampling, and Simpson's paradox—and shines a light on what we learn when we interpret data correctly, and what goes wrong when we don't.