Pseudoscience The Conspiracy Against Science Edited by Allison B. Kaufman and James C. Kaufman The MIT Press Cambridge, Massachusetts London, England © 2018 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. This book was set in ITC Stone Serif by Westchester Publishing Services. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Names: Kaufman, Allison (Allison B.) editor. | Kaufman, James C., editor. Title: Pseudoscience : the conspiracy against science / edited by Allison Kaufman and James C. Kaufman. Description: Cambridge, MA : The MIT Press, [2017] | Includes bibliographical references and index. Identifiers: LCCN 2017025528 | ISBN 9780262037426 (hardcover : alk. paper) Subjects: LCSH: Pseudoscience. Classification: LCC Q172.5.P77 P73 2017 | DDC 001.9—dc23 LC record available at https://lccn.loc.gov/2017025528 To my parents, Jean and Joe Katz, the original scientists in my life —ABK For my parents, Drs. Alan S. and Nadeen L. Kaufman, Who nurtured in me a lifelong love of learning and science (and the arts) and taught me to question, wonder, and dream —JCK Contents Foreword: Navigating a Post-Truth World: Ten Enduring Lessons from the Study of Pseudoscience Scott O. Lilienfeld Acknowledgments Introduction: Pseudoscience: What It Costs and Efforts to Fight It I The Basics of Pseudoscience 1 Pseudoscience and the Pursuit of Truth David K. Hecht 2 The Psychology of (Pseudo)Science: Cognitive, Social, and Cultural Factors Emilio J. C. Lobato and Corinne Zimmerman 3 The Illusion of Causality: A Cognitive Bias Underlying Pseudoscience Fernando Blanco and Helena Matute 4 Hard Science, Soft Science, and Pseudoscience: Implications of Research on the Hierarchy of the Sciences Dean Keith Simonton II What Pseudoscience Costs Society 5 Food-o-science Pseudoscience: The Weapons and Tactics in the War on Crop Biotechnology Kevin M. Folta 6 An Inside Look at Naturopathic Medicine: A Whistleblower’s Deconstruction of Its Core Principles Britt Marie Hermes 7 Risky Play and Growing Up: How to Understand the Overprotection of the Next Generation Leif Edward Ottesen Kennair, Ellen Beate Hansen Sandseter, and David Ball 8 The Anti-Vaccine Movement: A Litany of Fallacy and Errors Jonathan Howard and Dorit Rubinstein Reiss III Scientific (or Pseudoscientific) Soundness 9 Understanding Pseudoscience Vulnerability through Epistemological Development, Critical Thinking, and Science Literacy Arnold Kozak 10 Scientific Failure as a Public Good: Illustrating the Process of Science and Its Contrast with Pseudoscience Chad Orzel 11 Evidence-Based Practice as a Driver of Pseudoscience in Prevention Research Dennis M. Gorman 12 Scientific Soundness and the Problem of Predatory Journals Jeffrey Beall 13 Pseudoscience, Coming to a Peer-Reviewed Journal Near You Adam Marcus and Ivan Oransky IV Pseudoscience in the Mainstream 14 “Integrative” Medicine: Integrating Quackery with Science- Based Medicine David H. Gorski 15 Hypnosis: Science, Pseudoscience, and Nonsense Steven Jay Lynn, Ashwin Gautam, Stacy Ellenberg, and Scott O. Lilienfeld 16 Abuses and Misuses of Intelligence Tests: Facts and Misconceptions Mark Benisz, John O. Willis, and Ron Dumont 17 Reflections on Pseudoscience and Parapsychology: From Here to There and (Slightly) Back Again Christopher C. French V Science Activism: How People Think about Pseudoscience 18 Using Case Studies to Combat a Pseudoscience Culture Clyde Freeman Herreid 19 “HIV Does Not Cause AIDS”: A Journey into AIDS Denialism Seth C. Kalichman 20 Swaying Pseudoscience: The Inoculation Effect Kavin Senapathy 21 The Challenges of Changing Minds: How Confirmation Bias and Pattern Recognition Affect Our Search for Meaning Indre Viskontas VI Conclusion 22 Truth Shall Prevail Paul Joseph Barnett and James C. Kaufman Contributor List Index List of Figures Figure 3.1 The Müller-Lyer illusion. Figure 3.2 The same configuration of the Müller-Lyer illusion induces depth perception when further details (such as shades, windows) are added. (Figure elaborated by the authors.) Figure 3.3 Contingency matrix with four possible event types, with one cause and one effect. Figure 3.4 Contingency matrix containing trial frequencies that suggest a positive causal relationship, but yield a null contingency value (i.e., ΔP = 0). Figure 3.5 Main results of the experiment reported in Blanco et al. (2014). The left panel shows the mean proportion of patients to which the participants gave the fictitious drug—or, in other words, the probability with which they administered the cause, P(Cause), in each of the two groups. The right panel shows the mean effectiveness judgments given by participants in the two groups. Error bars depict 95 percent confidence intervals for the means. Blanco, F., Barberia, I., and Matute, H. (2014). The Lack of Side Effects of an Ineffective Treatment Facilitates the Development of a Belief in Its Effectiveness. Public Library of Science ONE, 9(1): e84084. Figure 3.6 Four simulations of the Rescorla-Wagner learning model. Using this model we simulated learning under four different contingency tables: one positive, one negative, and two involving null-contingency matrices. One of the null-contingency matrices included both cause-and outcome-density manipulations, which resulted in an overestimation of the null contingency. This would be equivalent to a causal illusion. The parameters used for these simulations are the same as those used in the simulations of the Rescorla- Wagner model reported by Vadillo, Blanco, Yarritu, and Matute (2016): α = CS .30, α = .10, β = β = .80. Context Outcome ¬Outcome Figure 4.1 The disciplines of physics, chemistry, biology, psychology, and sociology placed in a Comtean hierarchy of the sciences. The horizontal axis indicates the rank and the vertical axis indicates the composite score on the definitional factor. Figure 5.1 The Frankenfood Paradox. Techniques of plant genetic improvement that are less invasive and more predictable, and that affect the fewest genes, are the ones that bother people most. Ranging methods with unpredictable outcomes are well accepted. Figure 6.1 A comparison chart of MD and ND credits in the first two years of each program, published and widely used by the naturopathic profession (Association of Accredited Naturopathic Medical Colleges, n.d.-a). The numbers are based on funny accounting, which seems to inflate naturopathic training. The graphic is adapted from a graph that originally appeared on the website of the Association of Accredited Naturopathic Medical Colleges. It is no longer available. The authors of the original graph claimed that it accurately compared the credit load for the medical degree program at the University of Washington and the naturopathic degree program at Bastyr University for the 2010 academic year. Figure 6.2 A chart comparing the naturopathic curricula to the medical curricula at top universities in the United States (California Naturopathic Doctors Association, 2013). The total number of training hours for naturopathic students comprises time spent learning “naturopathic therapeutics,” which include debunked and unproven therapies like homeopathy and chiropractic techniques. Naturopaths use this misleading figure alongside the amount of real training completed in medical schools to make it seem as though naturopaths receive equivalent training as medical doctors. Figure 7.1 Non-fatal injury rates for selected activities based on A&E attendances in the United Kingdom (Play Safety Forum, 2012, p. 11). Figure 8.1 A flier first issued in 1955 warning about dangers of the polio vaccine, which had been invented three years prior. Figure 8.2 James Gillray’s 1802 caricature of Jenner vaccinating patients who feared it would make them sprout cowlike appendages. Figure 8.3 A mathematical explanation of why autism symptoms are bound to emerge after vaccination in some children. Figure 8.4 Figure 8.5 Figure 11.1 Causal Loops Depicting How Researchers Manipulate the Evidence-Based Review System. Use of flexible data analysis practices (top loop) and minimal adherence to study design criteria (bottom loop) Figure 11.2 Program Flow. A: Pre-NREPP; B: NREPP as envisioned; C: NREPP in practice. Figure 12.1 One of two evaluation sections of a peer review report from a questionable publisher. (Quoted from an anonymous peer review shared with the author.) List of Tables Table 11.1 “Key Findings” from the Project TND Evaluations Cited in the NREPP Review of the Program Table 11.2 Statistically Significant Main Effects in the Project TND Evaluations Reported in the NREPP Review Table 14.1 CAM Subtypes as Defined by NCCIH after 2011 Table 14.2 Subtypes of CAM as Defined by OCCAM Table 19.1 The Seven Principles of AIDS Denialism Table 19.2 A Brief History of AIDS Denialism
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