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Guesstimation 2.0:
Solving Today’s Problems on the Back of a Napkin
Lawrence Weinstein
Illustrations by Patricia Edwards

Paper with French folds | 2012 | $19.95 / £13.95 | ISBN: 9780691150802
377 pp. | 4 1/2 x 7 1/2 | 95 halftones.

eBook | 2012 | $19.95 | ISBN: 9781400844661
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Preface [PDF]

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Guesstimation 2.0 reveals the simple and effective techniques needed to estimate virtually anything–quickly–and illustrates them using an eclectic array of problems. A stimulating follow-up to Guesstimation, this is the must-have book for anyone preparing for a job interview in technology or finance, where more and more leading businesses test applicants using estimation questions just like these.

The ability to guesstimate on your feet is an essential skill to have in today’s world, whether you’re trying to distinguish between a billion-dollar subsidy and a trillion-dollar stimulus, a megawatt wind turbine and a gigawatt nuclear plant, or parts-per-million and parts-per-billion contaminants. Lawrence Weinstein begins with a concise tutorial on how to solve these kinds of order of magnitude problems, and then invites readers to have a go themselves. The book features dozens of problems along with helpful hints and easy-to-understand solutions. It also includes appendixes containing useful formulas and more.

Guesstimation 2.0 shows how to estimate everything from how closely you can orbit a neutron star without being pulled apart by gravity, to the fuel used to transport your food from the farm to the store, to the total length of all toilet paper used in the United States. It also enables readers to answer, once and for all, the most asked environmental question of our day: paper or plastic?

Lawrence Weinstein is University Professor of Physics at Old Dominion University. He is the coauthor ofGuesstimation: Solving the World’s Problems on the Back of a Cocktail Napkin (Princeton). Patricia Edwardsis senior lecturer in art at Old Dominion. A graduate of the Rhode Island School of Design, she lives in Norfolk, Virginia.


“This follow-up to the popular Guesstimation offers more on the joy of mathematical estimation, and inspiration for the budding analyst.”–Nature

“The books do a wonderful job at helping the reader to master the craft.”–Cut the Knot Insights

“A delightful volume. . . . I hope to be able to use many of the tricks I learned in the future. I also hope to teach some of them to students. This would make a great secondary textbook in many classes, ranging from quantitative literacy to a science methods class for future educators. A careful study of this book would certainly improve a student’s ability to take a complicated question, break it down into solvable parts, and assemble the parts to find an answer. Because this is quite close to what I want my students to do when faced with a difficult problem in pure mathematics as well, I consider this to be a very valuable book indeed.”–Dominic Klyve, MAA Reviews

Guesstimation 2.0: Solving Today’s Problems on the Back of a Napkin succeeds where most popular science literature so often fails. This is because it provides its readers with a scientific tool they can use immediately in their everyday lives. . . . [Makes] an excellent addition for the casual scientist, job interviewee, or anyone hoping to impress their friends at a party.”–Gabriel Thoumi,


“This is an absolutely great book, a worthy sequel to Guesstimation. The breadth of scope of the problems is truly impressive. Weinstein’s arguments are always convincing and, in many cases, very clever. His sense of humor provides a pain-free tutorial on how analysts can make real progress in understanding vaguely defined problems.”–Paul J. Nahin, author of Number-Crunching: Taming Unruly Computational Problems from Mathematical Physics to Science Fiction

More Endorsements

Table of Contents

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For customers in the U.S., Canada, Latin America, Asia, and Australia

Paper with French folds: $19.95 ISBN: 9780691150802

For customers in Europe, Africa, the Middle East, and India

Paper with French folds: £13.95 ISBN: 9780691150802

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File created: 1/7/2013

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