A decade ago, computer scientist Douglas Hofstadter coined the term innumeracy, which aptly described the widespread ailment of poor quantitative thinking in American society. So, in What the Numbers Say, Derrick Niederman and David Boyum present clear and comprehensible methods to help us process and calculate our way through the world of “data smog” that we live in. Avoiding abstruse formulations and equations, Niederman and Boyum anchor their presentations in the real world by covering a particular quantitative idea in relation to a context–like probability in the stock market or interest-rate percentages. And while this information is useful toward helping us to be more financially adept, What the Numbers Say is not merely about money. We learn why there were such dramatic polling swings in the 2000 U.S. presidential election and why the system of scoring for women’s figure skating was so controversial in the 2002 Winter Olympics, showing us that good quantitative thinking skills are not only practical but fun.
I found this book interesting enough to read it in a relatively short time, but was probably a little too familiar with much of the material to get a lot of new knowledge out of it. For some reason I remember being a bit more excited about The Numbers Game by Michael Blastland, which I read more recently. The goal of the two books is similar, basically they are trying to make the average person more comfortable and more skillful in dealing with the sorts of numbers and number-based "evidence" that we encounter in day to day living, and particularly in the news nowadays.
A good reminder of the importance of developing quantitative thinking skills whether you work with data or not.
I like the definition of a good quantitative thinker: "what distinguishes good quantitative thinkers is not their skill with pure mathematics, but rather their approach to quantitative information".
The book goes through all the skills necessary to survive in the Quantitative Information Age in plain English with lots of examples. My problem was that it is focused on American readers which means there are a lot of examples of politicians and baseball that I didn't really understand.
I liked especially the last chapter where the authors explain the different schools there are in teaching mathematics.
This is a very informative guide to how we mess up our appreciation for what numerical arguments are indicating. The book is easy to follow; the math is not calculus, but rather takes as its focus the math that we get exposed to on a regular basis, and how we foul up its interpretation. It is well worth reading.
This is a pretty important book that I think most adults and certainly all educators should read. Although it got a little ramble toward the end, this will probably be one I get a copy of and keep close by in my office. I plan to take some notes on a few ideas to use for workshops in my role as the assessment coordinator for the division. The main function, I think, will be to help people be less afraid of numbers and data an develop some strategies that, the authors contend, we all should have become proficient in during high school. The distinction between mathematics and quantitative reasoning and the simple, straightforward responses to the age-old question, "why do we have to learn this" are really key. I would love to see some of the ideas promoted here become more ingrained in our curriculum.
A solid book on the nuances of how numbers are represented to the public. I am a CPA and often have to present numbers in a simplified yet complete way. This book talks about how quantitative facts and calculations can be misleading (intentionally or unintentionally). I recommend reading this to give perspective to every day stories like the federal deficit, measuring flour, olympic scoring, etc.
A very practical tool for improving your quantitative reasoning. For those that are numerically lazy (like me), this is a good reminder of the many benefits of taking the time to think through a problem before reaching for the calculator and it provides an excellent toolbox for making the most of the quantitative world in which we live.
good enough straightforward discussion on using math and common sense in everyday life. didn't love the obscure stock market examples. a bit basic, although the section on pareto's law was especially interesting. engaging with good examples.
Statistics, their use and misuse, and how much they matter in daily life. Gives a lot of hints of what to look for to identify misleading statistics and how much of an impact their deliberate misuse can have. Very interesting, and funny enough for any reader.