THE CULT OF : HOW THE STANDARD ERROR COSTS US JOBS, JUSTICE, AND LIVES PDF, EPUB, EBOOK

Stephen Thomas Ziliak,Deirdre McCloskey | 384 pages | 15 Apr 2008 | The University of Michigan Press | 9780472050079 | English | Ann Arbor, United States The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives PDF Book In it he laconically criticised social scientists for using tests of statistical significance which were unrelated to the cost of error in their analysis. Contents pp. Statistical significance is not a scientific test. Raymundo von Bertrab rated it it was amazing Apr 25, In other words: do things that might matter, rather than things that are certain or repeatable. Great book for statisticians and nerdy lay people alike. Published by EH. If you are aware of the problem, this book is a good compendium of the problem, real-world issues, and the historical milieu in which the cult of significance evolved. The validity of this point I take to be virtually self-evident. No trivia or quizzes yet. Description Series , Cognition, and Society. Maier, Glendale Community College, Choice "What is important is a shift of emphasis away from a dichotomous world of true and false towards a recognition of "oomph". Because the number of observations did not reach the appropriate size, the 5 to 1 ratio of excess fatalities caused by Vioxx was deemed statistically insignificant. Showing The Fable of the Wasp. How Big Is Big in Economics? The Sizeless Stare of Statistical Significance pp. Thanks for telling us about the problem. Works Cited pp. Stephen T. In Defense of Monopoly. Besides any kind of cost benefit analysis of has to be carried out through the same statistical techniques that are being held to account by those who are most invested in them. Dec 30, Dennis rated it really liked it Shelves: stats , econ. Apr 07, Gert de Cooman rated it liked it. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? Other Editions 4. It is also fun to read, rich with historical information and an excellent reminder of what empirical work of any sort is all about. Prospects for a breakthrough have always been slim therefore. Forged from a partnership between a university press and a library, Project MUSE is a trusted part of the academic and scholarly community it serves. The quest for statistical significance that pervades today is a deeply flawed substitute for thoughtful analysis. Social Science. Unfortunately, most scientists are unaware of this fact and scientific journals of the highest standing continue using it anyway. The biggest flaw in significance testing is to ask only whether there is a relation, not the magnitude of the assumed relation. The authors start with a Contents section that contains a brief pr? How the Wasp Stung the Bee and Took. He was so successful at perpetrating this view of meaning -- as a structurally significant indicator -- so today we miss the significance of statistical studies, making bad decisions. Also, it's stronger on the "what's wrong" than on the "what should we do to fix it," but the "what's wrong" part is absolutely vital for everyone to know. About Deirdre N. The fourth order static is that of heteroskedasticity , not something one reads about on the back of a box of cereal but important for understanding how the numbers in the set might defined in each other. What the Sizeless Scientists Say in Defense. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives Writer

The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. It does not ask how much. Interpretation is. Psychometrics Lacks Power. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Vioxx was a formulation developed by Merck designed to combat pain. Other editions. I challenge any statistician or economist to show that this conclusion is unwarranted. It is clearly written and should be accessible to those who have neither formal training in statistics nor a desire to secure any. Its variance might be low as well so it looks like a winner. Now promise me you will never trust any such mock science. Design experiment. Stephen Ziliak and Deirdre McCloskey, two economics professors with a keen sense of the right and wrong uses of statistics, have written a truly eye-opening book. If it takes a book to get it across, I hope this book will do it. And I would prefer a more technical, and less anecdotal or even personal, argumentation. Jeffrey Smith rated it really liked it Sep 17, If this is not the case, then subsequent printings should include one. The method is often associated with the statistician Ronald A. Besides any kind of cost benefit analysis of statistics has to be carried out through the same statistical techniques that are being held to account by those who are most invested in them. If you are not aware of the problem, you should be. This study will encourage scientists who want to know how to get the statistical back on track and fulfill their quantitative promise. How Such a Thing. The pr? I do wonder if it's a bit over long. The mean is what is called the first order statistic. No trivia or quizzes yet. McCloskey , Distinguished Professor of Economics, History, English, and Communication at the University of at , is the author of twenty books and three hundred scholarly articles. To ask other readers questions about The Cult of Statistical Significance , please sign up. One consequence was the financial crash of , created directly by the use of statistical models using fundamentally incompatible aesthetics. Deirdre N. The Textbooks. On Drugs Disability and Death. Let alone any of the causes and effects communicated to us by less rigorous media? If it takes a book to get it across, I hope this book will do it. It ought to. The validity of this point I take to be virtually self-evident. It's just that they keep making the same point over and over. As the justifiers of decision making, they wish to connect the meaning of their studies beyond insular economic language. Jan 22, Gavin rated it really liked it. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives Reviews

The book highlights danger and corruption that flows from the overwhelming importance placed upon statistical significance by using examples from various fields like pharma, law, forensics. More Details This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. Recommend to your Library. However, I am willing to accept these flaws as the book is too important to be written off on the grounds of style. Index pp. View 1 comment. In this Book. Jun 23, Kathryn Morrison rated it really liked it. I found their puns somewhat annoying and hard to decipher. Relevance, economic importance, and any metrics other than mathematics are beside the point. Deirdre N. But it is not scientific pp. Ziliak is the author or editor of many articles and two books. Error rating book. Original Title. This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. If you are not aware of the problem, you should be. Dec 30, Dennis rated it really liked it Shelves: stats , econ. In science, measurement is very important to make decisions; thus, they advocate the use of effect sizes and confidence intervals, instead of significant tests. Publish articles showing "significant" results. To ask other readers questions about The Cult of Statistical Significance , please sign up. The most common statistic is the mean , or average, of the set. The Psychology of Psychological Significance Testing pp. She has held Guggenheim and National Humanities Fellowships. But the authors seem to have just one hobbyhorse -- statistical significance ignores the size of effects -- and they ride it for chapter after chapter, heaping up anecdotes about colleagues and predecessors who supposedly didn't get it, instead of actually developing an argument. In other words: do things that might matter, rather than things that are certain or r Highly academic, but basically boils down to: "statistically significant" does not mean the same thing as "meaningful" or "material". But the more relevant question concerns the likelihood of the hypothesis being true, given the observed data. Actual status will show in the shopping cart. One consequence was the financial crash of , created directly by the use of statistical models using fundamentally incompatible aesthetics. But the issue is actually more profound than she sets out. Chuck rated it really liked it Jan 03, Postscript: The approach outlined above is, I believe, also one that is compatible with the growing trend called Behavioural Economics. How Such a Thing. As the justifiers of decision making, they wish to connect the meaning of their studies beyond insular economic language. Besides any kind of cost benefit analysis of statistics has to be carried out through the same statistical techniques that are being held to account by those who are most invested in them. But they are allowed that joy of their profession, to speak directly about the aspects of their industry which annoy them most, namely sizelessness and oomph. It is also articulated to some degree, not necessarily by the one employing it, not merely a response to the presentation of alternative courses of action. And each of potential relevance in arriving at a decision about what to do. Ziliak is the author or editor of many articles and two books. The idea is simple: significance tests are dangerous and useless, essentially because they do not actually measure anything; they only tell you if the result you obtained is random or not. Project MUSE promotes the creation and dissemination of essential humanities and social science resources through collaboration with libraries, publishers, and scholars worldwide. Mar 27, Nicholas Moryl rated it liked it. But the authors seem to have just one hobbyhorse -- statistical signifi This one goes on my list of books whose purpose is almost exclusively to tell the reader how brilliant the author is, and how stupid everyone else is. Enlarge cover. Only the most elementary understanding of what statistics are is necessary. How Big Is Big in Economics? The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis.

The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives Read Online

And through its articulation an aesthetic evolves continuously. There are fifth, sixth, seventh, and higher order statistics, each giving slightly more information about the set of numbers in hand. Dec 31, BlackOxford rated it it was amazing Shelves: economics , -theology , science , mathematics , measurement. Stephen Thomas Ziliak. The mean is what is called the first order statistic. The book highlights danger and corruption that flows from the overwhelming importance placed upon statistical significance by using examples from various fields like pharma, law, forensics. To ask other readers questions about The Cult of Statistical Significance , please sign up. The second order statistic is that of the standard deviation, or variance , of the spread within the set of numbers. Ziliak and McCloskey. The results do not inspire confidence in the scientific competence of the editors and practitioners. Ziliak and Deirdre N. I do wonder if it's a bit over long. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? Statistical significance is not a scientific test. Details if other :. As far as I am aware many people are still paid a great deal of money to continue doing the same thing. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. Have you encountered one of those books where the authors convey one idea so clearly at the beginning that the rest of book is an overkill? Precision, knowledge, and control. Readers also enjoyed. How Big Is Big in Economics? The idea is simple: significance tests are dangerous and useless, essentially because they do not actually measure anything; they only tell you if the result you obtained is random or not. So they said he had personality issues, so he patented his profession in denying to talk with anyone. This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The authors' attempt at thoroughness make this book a bit exhausting at times, but it is still a must-read for anyone using statistics in real-world contexts. What to Do. Not the earliest critic - that's Meehl or Freedman or Gosset himself - but the most readable. If you are not aware of the problem, you should be. Many others may be relevant to a meaningful description of the set of numbers. And no statistician nor economist has ever been bold enough to propose that there might be such a reconciliation. How the Wasp Stung the Bee and Took. There's a nice couple of chapters on history Fisher, Gosset, etc. Scientific assertions should be confronted quantitatively with the world as it is or else the assertion is a philosophical or mathematical one, meritorious no doubt in its own terms but not scientific. Aug 21, InvestingByTheBooks. Ziliak and Deirdre N. McCloskey , Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. Original Title. They make a good point. And each of potential relevance in arriving at a decision about what to do. Quick search: search for products or web pages, depending on options selected below. There is only one simple thesis in the whole book, and it did drag a bit towards the end.

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