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The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century

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Review

“Highly readable and well-written. Give it to someone you want to delight.” ―Alcan R. Feinstein, M.D., Sterling Professor of Medicine and Epidemiology, Yale University School of Medicine“A fascinating description of the kinds of people who interacted, collaborated, disagreed, and were brilliant in the development of statistics.” ―Barbara A. Bailar, National Opinion Research Center

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About the Author

David Salsburg is a retired pharmaceutical company statistician and currently works as a private consultant. He has been a member of the American Statistics Association since 1964 and has taught at Harvard, Connecticut College, the University of Connecticut, the University of Pennsylvania, Rhode Island College, and Trinity College. During his latter years of teaching, Salsburg became Senior Research Fellow at Pfizer, Inc., in the Central Research Department.

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Product details

Paperback: 352 pages

Publisher: Holt Paperbacks; 31728th edition (May 1, 2002)

Language: English

ISBN-10: 9780805071344

ISBN-13: 978-0805071344

ASIN: 0805071342

Product Dimensions:

5.7 x 0.9 x 8.3 inches

Shipping Weight: 12 ounces (View shipping rates and policies)

Average Customer Review:

4.3 out of 5 stars

135 customer reviews

Amazon Best Sellers Rank:

#42,924 in Books (See Top 100 in Books)

This book was hard for me to put down. It is not a how-to book. Instead, it addresses the very foundations of statistics. As a practitioner but relative novice in the sophisticated use of statistics, I was stunned and frankly thought it ironic that there is so much uncertainty in the appropriate use, usefulness and meaning of statistics. It played with my mind on what is real in science. The history of the statistical revolution he describes is fascinating as personalities, perceptions and interpretations clash across the years. It should provide valuable insight to those whose work depends on the appropriate use and interpretation of statistics. But the book must cause them pause as the author concludes in the final paragraph, "the statistical revolution in science stands triumphant...[but]...it stands triumphant on feet of clay."

This book concerns the (fairly) recent evolution of the field of statistics, to become a major factor in science and applied science. The author discusses this for the nonmathematician by elaborating on some of the biographies of prominent people in statistics, both theoretical and applied. He lucidly discusses the math without formulas by using intuitive ideas, but his description of the mathematics (which is central to statistics) amounts at certain points to “name dropping”. Nevertheless, he displays, overall, an interesting point of view on statistics from someone who has worked in the field, and thought about the nature of the field. I recommend this book especially to beginners who have some background in statistics, and want to be exposed to some of the real excitement of this field as it has grown to influence many areas and seems, in many respects, to be inherently multidisciplinary. His perspective is that of someone who has some very deep exposure to the field, and is able not only to write in an interesting fashion, but also critique some of the ideas he presents and seriously discuss some of the limitations of statistics, as he sees them. His direct view is that statistics has made revolutionary advances, and he is able to be fairly convincing, despite the fact that he has written specifically for non-mathematicians. Nevertheless, his broad viewpoint should be of interest to many mathematicians as well.

A wonderful romp through the statistical methods and their practitioners of the twentieth century. There is a concerted effort to NOT include math notation or heavy lifting - this will not replace a stats textbook, it is decidedly and avowedly not meant to. Instead, intuition and philosophy of these advances are summarized. I am sure that my familiarity with the math helped, but I don't think it was necessary to understand the book. In fact, the Confidence Interval being process not number is the best way I have ever heard that put. I have a way to say it and I can only say it that way to be sure that I haven't flipped the meaning. This was a great example of how Salsburg takes big concepts with lots of math and explains them in intuitive ways. More than that though he makes these names from tests and bootstraps and whatnot and makes them real live people with stories and ambitions. There is also a great sense of the personal - statisticians need to interact with their data - you cant make a good valid clear model if you have no idea what the data really mean. Great lesson for everyone.

Mostly useful for the biographies of these historical figures. Do not expect full explanations of the mathematics. I found the descriptions of the relationships between the characters to the very useful. Also, at times the author recounts anecdotes from meetings he had with the mathematicians (e.g., Chester Bliss). These are interesting and revealing, but do not expect sociological rigor here (the author isn't from that field, after all). I've read some sections several times and was able to use some of these anecdotes in class.

As a professional statistician, I gained a deeper understanding of underlying philosophical aspects of probability and how it affects our everyday decision-making process. I also learned that applied statistics was one of the suppressed research fields in the country of Kolmogorov where I grew up, and how it affected the future development not only of other scientific disciplines, but the economic prosperity, or should I say lack of it. It is disheartening that the country with enormous intellectual potential and talent was not able to capitalize on it.The most captivating part of the book were stories of great scientists who contributed to the field. It is humbling and inspiring, at the same time encouraging to know the immense value of analytical probing and desire to get to the root of things.Statistics' potential is changing so many fields, from baseball to quantum physics - Qbism, or Quantum Bayesianism. I wonder - who and when will write a sequel on how statistics revolutionized science in the 21st century? I hope it'll be in my lifetime.

I'm teaching AP Stats for the first time and heard about this book at one of the training's I attended. Having recently finished reading it, I recommend it highly. It's a survey of the people involved in getting statistics and probability to where it is today, and it includes references to other books like it.I asked our school librarian to add a few copies to the school library, and recently saw it on the "new arrivals" counter.

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