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Error and the Growth of Experimental Knowledge

Error and the Growth of Experimental Knowledge PDF Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 0226511987
Category : Mathematics
Languages : en
Pages : 512

Book Description
Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.

Error and the Growth of Experimental Knowledge

Error and the Growth of Experimental Knowledge PDF Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 0226511987
Category : Mathematics
Languages : en
Pages : 512

Book Description
Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.

Error and the Growth of Experimental Knowledge

Error and the Growth of Experimental Knowledge PDF Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 9780226511979
Category : Science
Languages : en
Pages : 512

Book Description
We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis.

Error and Inference

Error and Inference PDF Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 0521180252
Category : Business & Economics
Languages : en
Pages : 439

Book Description
Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.

The Spectacle of the Growth of Knowledge and Swift's Satires on Science

The Spectacle of the Growth of Knowledge and Swift's Satires on Science PDF Author: Beat Affentranger
Publisher: Universal-Publishers
ISBN: 1581120680
Category : Literary Criticism
Languages : en
Pages : 194

Book Description
This is a revisionist study of seventeenth- and eighteenth-century satires on science with an emphasis on the writings of Jonathan Swift and, to a lesser degree, Samuel Butler and other satirists. To say, as some literary commentators do, that the satirists attacked only pseudo-scientists who failed to employ the empirical method properly is to beg a crucial question: how could the satirists possibly have distinguished the genuine scientist from the crank? By a failsafe set of Baconian principles perhaps? No, the matter is more complicated. I read the satiric literature on early modern science against a totally different understanding of what science is, how it came into being, and how it developed. Satire has a decided advantage over scientific discourse. It can rely on common sense; scientific discourse often cannot. There is always a counter-intuitive element in the genuinely new. New knowledge is in some ways always at odds with received assumptions of what is possible, reasonable, or probable. Satire on science, I suggest, can be seen as a systematic exploitation of that gap of plausibility. Natural philosophers of the late seventeenth- and early eighteenth-century were keenly aware of their discursive disadvantage and at times even hesitated to publish their material. They feared the satirists and the wits, who they knew would find it easy to debunk their work on commonsense grounds. But commonsense and laughter are unreliable yardsticks for measuring scientific merit. Ironically, the satirists and the natural philosophers shared some of the most fundamental epistemological assumptions of early English empiricism, for instance, the stereotypical Baconian assumption that knowledge about nature would come to us unambiguously once the mind was freed from preconception and bias. It is an assumption about scientific method that is decidedly hostile towards speculative hypothesising. Indeed, the motto of the day was not bold speculation and learning from error, but avoiding error at all costs. Yet in practice, error (or what appeared to be erroneous) was of course frequent; for science is an essentially speculative enterprise. Natural philosophers of the early modern period, however, were embarrassed by their failures and tried to explain them away. The satirists, on the other hand, could prey on these mistakes and conclude that the work of the natural philosophers was purely speculative. The reason for this rigid, anti-speculative epistemological stance, I argue, was a religious one, having to do with the conception of nature as a divine book that could be read like Scripture. This conflation of the epistemological and the theological is especially obvious in Swift. In both his satirical and non-satirical writings, he is obsessed with proposing proper standards of interpretation, and with criticising those whom he thought had corrupted these standards. Dissenters and religious enthusiasts are taken to task for their misreading of Scripture, for their corrupt religious doctrine which they erroneously claim to be based on Scripture and reason. The natural philosophers are accused of some similar hermeneutic sin; only, they have committed their interpretive transgressions against the proper interpretive standard of the book of nature. Where the natural philosophers claim to have found a new, more accurate way of reading the book of nature, Swift, I argue, sees only mis-readings. Rhetorically, Swift's satires on religious dissent perpetuate the typically Tory High-Church insinuation of sectarian and heretical sexual promiscuity. In his satires on science, Swift makes the same insinuation with respect to natural philosophers, most vividly so in A Tale of a Tub and the flying island of Laputa. The study concludes with a fresh look at Swift's rational horses in part four of Gulliver's Travels.

Error and Uncertainty in Scientific Practice

Error and Uncertainty in Scientific Practice PDF Author: Marcel Boumans
Publisher: Routledge
ISBN: 1317319478
Category : History
Languages : en
Pages : 272

Book Description
Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.

The Cult of Statistical Significance

The Cult of Statistical Significance PDF Author: Steve Ziliak
Publisher: University of Michigan Press
ISBN: 0472050079
Category : Business & Economics
Languages : en
Pages : 349

Book Description
The Cult of Statistical Significance shows, field by field, how "statistical significance," a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ testing that doesn't "test" and estimating that doesn't "estimate". The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. 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.

Going Amiss in Experimental Research

Going Amiss in Experimental Research PDF Author: Giora Hon
Publisher: Springer Science & Business Media
ISBN: 1402088930
Category : Science
Languages : en
Pages : 273

Book Description
Like any goal-oriented procedure, experiment is subject to many kinds of failures. These failures have a variety of features, depending on the particulars of their sources. For the experimenter these pitfalls should be avoided and their effects minimized. For the historian-philosopher of science and the science educator, on the other hand, they are instructive starting points for reflecting on science in general and scientific method and practice in particular. Often more is learned from failure than from confirmation and successful application. The identification of error, its source, its context, and its treatment shed light on both practices and epistemic claims. This book shows that it is fruitful to bring to light forgotten and lost failures, subject them to analysis and learn from their moral. The study of failures, errors, pitfalls and mistakes helps us understand the way knowledge is pursued and indeed generated. The book presents both historical accounts and philosophical analyses of failures in experimental practice. It covers topics such as "error as an object of study", "learning from error", "concepts and dead ends", "instrumental artifacts", and "surprise and puzzlement". This book will be of interest to historians, philosophers, and sociologists of science as well as to practicing scientists and science educators.

In the Scope of Logic, Methodology and Philosophy of Science

In the Scope of Logic, Methodology and Philosophy of Science PDF Author: Peter Gärdenfors
Publisher: Springer Science & Business Media
ISBN: 9781402009297
Category : Computers
Languages : en
Pages : 414

Book Description
This is the first of two volumes containing papers submitted by the invited speakers to the 11th International Congress of Logic, Methodology and Philosophy of Science, held in Cracow in 1999, under the auspices of the International Union of History and Philosophy of Science, Division of Logic, Methodology and Philosophy of Science. The invited speakers are the leading researchers and accordingly the book presents the current state of the intellectual discourse in the respective fields. The papers delivered at the congress were divided into 17 sections. Thus the structure of the volume corresponds to the very schedule of the congress. Volume one contains the opening lecture by Andrzej K. Wróblewski as well as invited papers in sections of Proof Theory, Model Theory, Recursion Theory, Axiomatic Set Theory, Logic and Computation, Logic, Language and Cognition, Methodology, Probability, Induction, and Decision Theory, Philosophy of Logic, Mathematics, and Computer Science, and Philosophy of the Physical Sciences.

The Philosophy of Scientific Experimentation

The Philosophy of Scientific Experimentation PDF Author: Hans Radder
Publisher: University of Pittsburgh Pre
ISBN: 9780822972396
Category : Science
Languages : en
Pages : 332

Book Description
Since the late 1980s, the neglect of experiment by philosophers and historians of science has been replaced by a keen interest in the subject. In this volume, a number of prominent philosophers of experiment directly address basic theoretical questions, develop existing philosophical accounts, and offer novel perspectives on the subject, rather than rely exclusively on historical cases of experimental practice. Each essay examines one or more of six interconnected themes that run throughout the collection: the philosophical implications of actively and intentionally interfering with the material world while conducting experiments; issues of interpretation regarding causality; the link between science and technology; the role of theory in experimentation involving material and causal intervention; the impact of modeling and computer simulation on experimentation; and the philosophical implications of the design, operation, and use of scientific instruments.

The Necessity of Errors

The Necessity of Errors PDF Author: John Roberts
Publisher: Verso Books
ISBN: 1789601495
Category : Philosophy
Languages : en
Pages : 425

Book Description
Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.