Cambridge University Press
9780521879620 - The Paradox of Predictivism - by Eric Christian Barnes
Frontmatter/Prelims
THE PARADOX OF PREDICTIVISM
An enduring question in the philosophy of science is the question of whether a scientific theory deserves more credit for its successful predictions than it does for accommodating data that was already known when the theory was developed. In The Paradox of Predictivism, Eric Barnes argues that the successful prediction of evidence testifies to the general credibility of the predictor in a way that evidence does not when the evidence is used in the process of endorsing the theory. He illustrates his argument with an important episode from nineteenth-century chemistry, Mendeleev’s Periodic Law and its successful predictions of the existence of various elements. The consequences of this account of predictivism for the realist/anti-realist debate are considerable, and strengthen the status of the ‘no miracle’ argument for scientific realism. Another significant consequence is that scientific method embodies a pervasive epistemic pluralism, according to which expert scientists who assess theories depend heavily on the judgments of other scientists. Barnes’s important and original contribution to the debate will interest a wide range of readers in philosophy of science.
ERIC CHRISTIAN BARNES is Associate Professor of Philosophy at Southern Methodist University.
THE PARADOX OF PREDICTIVISM
ERIC CHRISTIAN BARNES
Southern Methodist University
CAMBRIDGE UNIVERSITY PRESS
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Cambridge University Press
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© Eric Christian Barnes 2008
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First published 2008
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ISBN 978-0-521-87962-0 hardback
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To Veronica, who is my happiness
Contents
| Acknowledgments | page ix | ||
| 1 | The paradox of predictivism | 1 | |
| 1.1 | Introduction | 1 | |
| 1.2 | Pumping up the intuition that prediction matters | 2 | |
| 1.3 | The paradox of predictivism | 5 | |
| 1.4 | A sketchy history of predictivism | 7 | |
| 1.5 | Weak and strong predictivism | 24 | |
| 1.6 | Overview of the argument of this book | 27 | |
| 2 | Epistemic pluralism | 31 | |
| 2.1 | Introduction | 31 | |
| 2.2 | Novelty for pluralist evaluators | 33 | |
| 2.3 | A pluralist model of theory evaluation | 38 | |
| 2.4 | Expert pluralism | 51 | |
| 2.5 | Conclusion | 58 | |
| 3 | Predictivism and the Periodic Table of the Elements | 60 | |
| 3.1 | Introduction | 60 | |
| 3.2 | Unvirtuous predictivism | 61 | |
| 3.3 | Virtuous predictivism | 64 | |
| 3.4 | Virtuous predictivism in Bayesian terms | 69 | |
| 3.5 | Four species of predictivism | 80 | |
| 3.6 | Mendeleev and the periodic law | 82 | |
| 3.7 | Mendeleev’s background beliefs | 87 | |
| 3.8 | Predictivism and the periodic law | 96 | |
| 3.9 | Conclusion | 122 | |
| 4 | Miracle arguments and the demise of strong predictivism | 123 | |
| 4.1 | Introduction | 123 | |
| 4.2 | Neither truth nor empirical adequacy explain novel success | 126 | |
| 4.3 | The miraculous endorsement argument for realism | 141 | |
| 4.4 | The base rate fallacy | 162 | |
| 4.5 | The realist is a pluralist | 166 | |
| 5 | The predicting community | 168 | |
| 5.1 | Introduction | 168 | |
| 5.2 | The coin flip example once again | 169 | |
| 5.3 | Eva meets Priscilla | 172 | |
| 5.4 | The community of predicting scientists | 173 | |
| 5.5 | A predictive paradox | 179 | |
| 5.6 | Counterpredictors | 181 | |
| 5.7 | Applications | 185 | |
| 5.8 | Realism, pluralism, and individualism | 187 | |
| 5.9 | Conclusion | 189 | |
| 6 | Back to epistemic pluralism | 190 | |
| 6.1 | Introduction | 190 | |
| 6.2 | Toward a more rigorous model of pluralistic theory evaluation | 195 | |
| 6.3 | Scenario one: the mapmakers | 197 | |
| 6.4 | Scenario two: the probabilistic jury | 205 | |
| 6.5 | Applications for the two scenarios | 210 | |
| 6.6 | Mixed weights | 212 | |
| 6.7 | Weighting gone wrong | 214 | |
| 7 | Postlude on old evidence | 217 | |
| 7.1 | Introduction | 217 | |
| 7.2 | H-independent e-evidence: Einstein in 1915 | 223 | |
| 7.3 | Beyond the e-difference approach: a theistic solution to the quantitative problem | 230 | |
| 7.4 | Two solutions to the quantitative problem | 232 | |
| 7.5 | Implications for Bayesianism? | 237 | |
| 7.6 | Conclusion | 238 | |
| 8 | A paradox resolved | 240 | |
| 8.1 | Introduction | 240 | |
| 8.2 | Confirmation theory | 240 | |
| 8.3 | The realist/anti-realist debate | 242 | |
| 8.4 | The methodology of science | 243 | |
| Glossary | 246 | ||
| Bibliography | 249 | ||
| Index | 258 | ||
Acknowledgments
In the course of writing this book I have been helped by many people. My most immediately obvious debt of gratitude is to my colleagues at Southern Methodist University who have supplied me with considerable intellectual support and expertise during my thirteen years at SMU – most of which has been occupied with something or other to do with this book. These people include Roberta Ballarin, Phillipe Chuard, Alan Hausman, David Hausman, Mark Heller, Steve Hiltz, Robert Howell, Jean Kazez, Jim Lamb, Clayton Littlejohn, Mark McCullough, Alastair Norcross, Luke Robinson, Jonathon Sutton, Brad Thompson, and Steve Sverdlik. I am conscious of a special debt to Doug Ehring, who has been a terrific mentor during my time at SMU. My thoughts as presented in this book have also been the result of correction and/or nourishment by comments (in and out of print) by Peter Achinstein, David Christensen, Ellery Eells, Keith Lehrer, Patrick Maher, Paul Meehl, Elliot Sober, Edrie Sobstyl, Eric Scerri, Kent Staley, Wayne Woodward, and John Worrall. At Cambridge University Press I would like to thank Hilary Gaskin and two anonymous referees for helpful suggestions and comments on this work.
I am grateful to the National Endowment for the Humanities for a 1994 summer seminar stipend that kicked off my interest in confirmation theory, and to Larry Laudan for teaching an excellent seminar. Thanks are also due to Southern Methodist University for a sabbatical leave during the spring of 2005 during which part of this book was written.
This book draws on some of my published articles. These include the articles listed below. In every case I am indebted to journal referees who offered considerable help in working through my ideas. I am grateful to Oxford University Press, Springer Publishing Company, and Taylor and Francis Group for permission to include material from the following articles:
1996 “Discussion: thoughts on Maher’s Predictivism,” Philosophy of Science, 63, 401–410.
1996 “Social predictivism,” Erkenntnis 45, 69–89.
1998 “Probabilities and epistemic pluralism,” British Journal for the Philosophy of Science 49, 31–37.
1999 “The quantitative problem of old evidence,” British Journal for the Philosophy of Science 50, 249–264.
2000 “Ockham’s razor and the anti-superfluity principle,” Erkenntnis 53, 3, 353–374.
2002 “Neither truth nor empirical adequacy explain novel success,” Australasian Journal of Philosophy 80, 4, 418–431.
2002 “The miraculous choice argument for realism,” Philosophical Studies 111, 2, 97–120.
2005 “Predictivism for pluralists,” British Journal for the Philosophy of Science, 56, 421–450.
I would also like to take this opportunity to offer thanks to those who taught me philosophy. To begin at the all important beginning: Susan Mills Finsen, Daniel Graham, Dan Magurshak, and Jack Worley were certainly the four most important things that happened to me during my undergraduate years at Grinnell College. Their teaching, encouragement and support not only prepared me well and got me excited about philosophy, but helped me believe in myself at a time when such help was truly appreciated. The story continues at Indiana University, where I was likewise treated to wonderful teaching from many professors, but especially Nino Cochiarella, Alberto Coffa, Noretta Koertge, and John Winnie. I learned a lot from my colleagues at Denison University during my four years there. To all these people I am grateful for helping me grow as a philosopher, and for many fine memories of youth.
Reaching further back in time, my debts grow more profound even as they become harder to describe. My mother and father created a very loving and happy home in which the life of the mind was greatly admired. I suspect my fascination with scientific method has its roots in my memories of my father’s laboratory, where my earliest memories of the world of grown ups were formed. At a tender age I came to connect (oversimply, obviously) the capacity for scientific thought with the living of a fully realized human life. I like to think that my attempt to understand scientific method is part of a larger project of understanding what the living of such a life entails.
I owe an immeasurable debt of gratitude to my wife, Veronica Barnes, whose love, kindness and wise counsel continue to dazzle me after nineteen years of marriage. And to my daughters, Rachel and Faith, I express heartfelt gratitude for sometimes quieting down when I needed to write, and for all the happiness and fun they bring to my life.
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