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At a summer tea party in Cambridge, England, a lady states that tea poured into milk tastes differently than that of milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one guest, by the name Ronald Aylmer Fisher, proposes to scientifically test the lady's hypothesis. There was no better person to conduct such a test. For Fisher had brought to the field of statistics an emphasis on controlling the methods for obtaining data and the importance of interpretation. He knew that how the data was gathered and applied was as important as the data themselves.
In The Lady Tasting Tea, readers will encounter not only Ronald Fisher's theories (and their repercussions), but the ideas of dozens of men and women whose revolutionary work affects our everyday lives. Writing with verve and wit, author David Salsburg traces the rise and fall of Karl Pearson's theories, explores W. Edwards Deming's statistical methods of quality control (which rebuilt postwar Japan's economy), and relates the story of Stella Cunliff's early work on the capacity of small beer casks at the Guinness brewing factory.
The Lady Tasting Tea is not a book of dry facts and figures, but the history of great individuals who dared to look at the world in a new way.
- Sales Rank: #1178466 in Books
- Brand: Brand: W. H. Freeman
- Published on: 2001-04-01
- Original language: English
- Number of items: 1
- Dimensions: 8.58" h x 1.24" w x 6.48" l,
- Binding: Hardcover
- 352 pages
- Used Book in Good Condition
Amazon.com Review
Science is inextricably linked with mathematics. Statistician David Salsburg examines the development of ever-more-powerful statistical methods for determining scientific truth in The Lady Tasting Tea, a series of historical and biographical sketches that illuminate without alienating the mathematically timid. Salsburg, who has worked in academia and industry and has met many of the major players he writes about, shares his subjects' enthusiasm for problem solving and deep thinking. His sense of excitement drives the prose, but never at the expense of the reader; if anything, the author has taken pains to eliminate esoterica and ephemera from his stories. This might frustrate a few number-head readers, but the abundant notes and references should keep them happy in the library for weeks after reading the book.
Ultimately, the various tales herein are unified in a single theme: the conversion of science from observational natural history into rigorously defined statistical models of data collection and analysis. This process, usually only implicit in studies of scientific methods and history, is especially important now that we seem to be reaching the point of diminishing returns and are looking for new paradigms of scientific investigation. The Lady Tasting Tea will appeal to a broad audience of scientifically literate readers, reminding them of the humanity underlying the work. --Rob Lightner
From Publishers Weekly
The development of statistical modeling in primary research is the underreported paradigm shift in the foundation of science. The lady of the title's claim that she could detect a difference between milk-into-tea vs. tea-into-milk infusions sets up the social history of a theory that has changed the culture of science as thoroughly as relativity did (the lady's palate is analogous to quantum physics' famous cat-subject), making possible the construction of meaningful scientific experiments. Statistical modeling is the child of applied mathematics and the 19th-century scientific revolution. So Salsburg begins his history at the beginning (with field agronomists in the U.K. in the 1920s trying to test the usefulness of early artificial fertilizer) and creates an important, near-complete chapter in the social history of science. His modest style sometimes labors to keep the lid on the Wonderland of statistical reality, especially under the "This Book Contains No Equations!" marketing rule for trade science books. He does his best to make a lively story of mostly British scientists' lives and work under this stricture, right through chaos theory. The products of their advancements include more reliable pharmaceuticals, better beer, econometrics, quality control manufacturing, diagnostic tests and social policy. It is unfortunate that this introduction to new statistical descriptions of reality tries so hard to appease mathophobia. Someone should do hypothesis testing of the relationship between equations in texts and sales in popular science markets it would make a fine example of the use of statistics. Illus.
Copyright 2001 Cahners Business Information, Inc.
From Library Journal
This is an insightful and revealing history of how the emergence of statistics in scientific research revolutionized the sciences. Without using a single mathematical equation, Salsburg, a former Harvard professor and a prolific writer with three books and numerous articles on applied statistics, clearly discusses some major advances in statistics in the last century. He covers most of the major contributors to the field and dedicates two chapters to the contributions made by women. Salsburg also does an excellent job of showing how statistics has had an impact in the development of other sciences likes agriculture, cancer research, and econometrics as well as its influence in industry, where statistical methods are widely used in quality control and for the analysis of operational research. General readers with little mathematical background will be able to grasp Salsburg's lucid concepts with ease. Specialists will also enjoy reading this book for its interesting presentation and for the many biographical notations about some of the most influential researchers in the field. Since Salsburg focuses on the 20th century, readers interested in learning about earlier developments in statistics can look at Stephen M. Stigler's Statistics on the Table (LJ 10/1/99). Nestor L. Osorio, Northern Illinois Univ. Lib., DeKalb
Copyright 2001 Reed Business Information, Inc.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Shaky foundation
By Reviewer
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."
0 of 0 people found the following review helpful.
A wonderful romp through the statistical methods and their practitioners of the twentieth century.
By ARG
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.
3 of 3 people found the following review helpful.
but not great. The author seems to be so scared that ...
By Stijn Debrouwere
Okay, but not great. The author seems to be so scared that people might not understand what he's talking about that he makes essentially zero effort to even minimally explain the statistical concepts encountered along the way. This leads to absurdities where you're reading a chapter on "some thing someone did that does something or other about this problem, but you wouldn't understand it anyway so let's leave it at that." I imagine the author wants to reach a broad audience, and science writing is incredibly difficult, but there are examples of pop science and history of science writing that do manage to give people at least a rough understanding of the topics under discussion. Salsburg seems to have given up on that goal, probably thinking that, if you're not a statistician, there's no chance of really understanding any of it anyway.
That said, it's not like there's a glut of books about the history of statistics, and it does highlight some of the main developments, discussions and battles (albeit vaguely), so still a 3/5.
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