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Error and the Growth of Experimental Knowledge

Error and the Growth of Experimental Knowledge
Author: Deborah G. Mayo
Publisher: University of Chicago Press
Total Pages: 512
Release: 1996-07-15
Genre: Science
ISBN: 9780226511979

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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 the Growth of Experimental Knowledge

Error and the Growth of Experimental Knowledge
Author: Deborah G. Mayo
Publisher: University of Chicago Press
Total Pages: 520
Release: 1996-07-15
Genre: Mathematics
ISBN: 9780226511979

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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 Inference

Error and Inference
Author: Deborah G. Mayo
Publisher: Cambridge University Press
Total Pages: 439
Release: 2011
Genre: Business & Economics
ISBN: 0521180252

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


Reproducibility and Replicability in Science

Reproducibility and Replicability in Science
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 257
Release: 2019-10-20
Genre: Science
ISBN: 0309486165

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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.


The Necessity of Errors

The Necessity of Errors
Author: John Roberts
Publisher: Verso Books
Total Pages: 425
Release: 2020-05-05
Genre: Philosophy
ISBN: 1789601495

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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.


Statistical Inference as Severe Testing

Statistical Inference as Severe Testing
Author: Deborah G. Mayo
Publisher: Cambridge University Press
Total Pages: 503
Release: 2018-09-20
Genre: Mathematics
ISBN: 1108563309

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.


Error and Uncertainty in Scientific Practice

Error and Uncertainty in Scientific Practice
Author: Marcel Boumans
Publisher: Routledge
Total Pages: 272
Release: 2015-10-06
Genre: History
ISBN: 1317319478

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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.


Optimality

Optimality
Author: Javier Rojo
Publisher: IMS
Total Pages: 366
Release: 2006
Genre: Estimation theory
ISBN: 9780940600652

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The volume presents a collection of refereed papers dealing with the issue of optimality in several areas including: multiple testing, transformation models, competing risks, regression trees, density estimation, copulas, and robustness.


Going Amiss in Experimental Research

Going Amiss in Experimental Research
Author: Giora Hon
Publisher: Springer Science & Business Media
Total Pages: 273
Release: 2008-12-04
Genre: Science
ISBN: 1402088930

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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.


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
Author: Beat Affentranger
Publisher: Universal-Publishers
Total Pages: 194
Release: 2000
Genre: Literary Criticism
ISBN: 1581120680

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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.