| confirmation bias in science: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| confirmation bias in science: The Oxford Handbook of the Science of Science Communication Kathleen Hall Jamieson, Dan M. Kahan, Dietram Scheufele, 2017 On topics from genetic engineering and mad cow disease to vaccination and climate change, this Handbook draws on the insights of 57 leading science of science communication scholars who explore what social scientists know about how citizens come to understand and act on what is known by science. |
| confirmation bias in science: Reproducibility and Replicability in Science National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Board on Research Data and Information, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Reproducibility and Replicability in Science, 2019-10-20 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. |
| confirmation bias in science: Cognitive Neuroscience and Psychotherapy Warren Tryon, 2014-03-22 Cognitive Neuroscience and Psychotherapy provides a bionetwork theory unifying empirical evidence in cognitive neuroscience and psychopathology to explain how emotion, learning, and reinforcement affect personality and its extremes. The book uses the theory to explain research results in both disciplines and to predict future findings, as well as to suggest what the theory and evidence say about how we should be treating disorders for maximum effectiveness. While theoretical in nature, the book has practical applications, and takes a mathematical approach to proving its own theorems. The book is unapologetically physical in nature, describing everything we think and feel by way of physical mechanisms and reactions in the brain. This unique marrying of cognitive neuroscience and clinical psychology provides an opportunity to better understand both. - Unifying theory for cognitive neuroscience and clinical psychology - Describes the brain in physical terms via mechanistic processes - Systematically uses the theory to explain empirical evidence in both disciplines - Theory has practical applications for psychotherapy - Ancillary material may be found at: http://booksite.elsevier.com/9780124200715 including an additional chapter and supplements |
| confirmation bias in science: Pseudoscience Allison B. Kaufman, James C. Kaufman, 2019-03-12 Case studies, personal accounts, and analysis show how to recognize and combat pseudoscience in a post-truth world. In a post-truth, fake news world, we are particularly susceptible to the claims of pseudoscience. When emotions and opinions are more widely disseminated than scientific findings, and self-proclaimed experts get their expertise from Google, how can the average person distinguish real science from fake? This book examines pseudoscience from a variety of perspectives, through case studies, analysis, and personal accounts that show how to recognize pseudoscience, why it is so widely accepted, and how to advocate for real science. Contributors examine the basics of pseudoscience, including issues of cognitive bias; the costs of pseudoscience, with accounts of naturopathy and logical fallacies in the anti-vaccination movement; perceptions of scientific soundness; the mainstream presence of “integrative medicine,” hypnosis, and parapsychology; and the use of case studies and new media in science advocacy. Contributors David Ball, Paul Joseph Barnett, Jeffrey Beall, Mark Benisz, Fernando Blanco, Ron Dumont, Stacy Ellenberg, Kevin M. Folta, Christopher French, Ashwin Gautam, Dennis M. Gorman, David H. Gorski, David K. Hecht, Britt Marie Hermes, Clyde F. Herreid, Jonathan Howard, Seth C. Kalichman, Leif Edward Ottesen Kennair, Arnold Kozak, Scott O. Lilienfeld, Emilio Lobato, Steven Lynn, Adam Marcus, Helena Matute, Ivan Oransky, Chad Orzel, Dorit Reiss, Ellen Beate Hansen Sandseter, Kavin Senapathy, Dean Keith Simonton, Indre Viskontas, John O. Willis, Corrine Zimmerman |
| confirmation bias in science: The Bias That Divides Us Keith E. Stanovich, 2021-08-31 Why we don't live in a post-truth society but rather a myside society: what science tells us about the bias that poisons our politics. In The Bias That Divides Us, psychologist Keith Stanovich argues provocatively that we don't live in a post-truth society, as has been claimed, but rather a myside society. Our problem is not that we are unable to value and respect truth and facts, but that we are unable to agree on commonly accepted truth and facts. We believe that our side knows the truth. Post-truth? That describes the other side. The inevitable result is political polarization. Stanovich shows what science can tell us about myside bias: how common it is, how to avoid it, and what purposes it serves. Stanovich explains that although myside bias is ubiquitous, it is an outlier among cognitive biases. It is unpredictable. Intelligence does not inoculate against it, and myside bias in one domain is not a good indicator of bias shown in any other domain. Stanovich argues that because of its outlier status, myside bias creates a true blind spot among the cognitive elite--those who are high in intelligence, executive functioning, or other valued psychological dispositions. They may consider themselves unbiased and purely rational in their thinking, but in fact they are just as biased as everyone else. Stanovich investigates how this bias blind spot contributes to our current ideologically polarized politics, connecting it to another recent trend: the decline of trust in university research as a disinterested arbiter. |
| confirmation bias in science: The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2 Volume Set J. C. Barnes, David R. Forde, 2021-09-08 The Encyclopedia of RESEARCH METHODS IN CRIMINOLOGY & CRIMINAL JUSTICE The most comprehensive reference work on research designs and methods in criminology and criminal justice This Encyclopedia of Research Methods in Criminology and Criminal Justice offers a comprehensive survey of research methodologies and statistical techniques that are popular in criminology and criminal justice systems across the globe. With contributions from leading scholars and practitioners in the field, it offers a clear insight into the techniques that are currently in use to answer the pressing questions in criminology and criminal justice. The Encyclopedia contains essential information from a diverse pool of authors about research designs grounded in both qualitative and quantitative approaches. It includes information on popular datasets and leading resources of government statistics. In addition, the contributors cover a wide range of topics such as: the most current research on the link between guns and crime, rational choice theory, and the use of technology like geospatial mapping as a crime reduction tool. This invaluable reference work: Offers a comprehensive survey of international research designs, methods, and statistical techniques Includes contributions from leading figures in the field Contains data on criminology and criminal justice from Cambridge to Chicago Presents information on capital punishment, domestic violence, crime science, and much more Helps us to better understand, explain, and prevent crime Written for undergraduate students, graduate students, and researchers, The Encyclopedia of Research Methods in Criminology and Criminal Justice is the first reference work of its kind to offer a comprehensive review of this important topic. |
| confirmation bias in science: Cognitive Illusions Rüdiger F Pohl, 2012-12-06 Cognitive Illusions investigates a wide range of fascinating psychological effects in the way we think, judge and remember in our everyday lives. At the beginning of each chapter, leading researchers in the field introduce the background to phenomena such as illusions of control, overconfidence and hindsight bias. This is followed by an explanation of the experimental context in which these illusions can be investigated and a theoretical discussion drawing conclusions about the wider implications of these fallacy and bias effects. Written with researchers and instructors in mind, this tightly edited, reader-friendly text provides both an overview of research in the area and many lively pedagogic features such as chapter summaries, further reading lists and suggestions for classroom demonstrations. |
| confirmation bias in science: Blinding as a Solution to Bias Christopher T Robertson, Aaron S Kesselheim, 2016-01-30 What information should jurors have during court proceedings to render a just decision? Should politicians know who is donating money to their campaigns? Will scientists draw biased conclusions about drug efficacy when they know more about the patient or study population? The potential for bias in decision-making by physicians, lawyers, politicians, and scientists has been recognized for hundreds of years and drawn attention from media and scholars seeking to understand the role that conflicts of interests and other psychological processes play. However, commonly proposed solutions to biased decision-making, such as transparency (disclosing conflicts) or exclusion (avoiding conflicts) do not directly solve the underlying problem of bias and may have unintended consequences. Robertson and Kesselheim bring together a renowned group of interdisciplinary scholars to consider another way to reduce the risk of biased decision-making: blinding. What are the advantages and limitations of blinding? How can we quantify the biases in unblinded research? Can we develop new ways to blind decision-makers? What are the ethical problems with withholding information from decision-makers in the course of blinding? How can blinding be adapted to legal and scientific procedures and in institutions not previously open to this approach? Fundamentally, these sorts of questions—about who needs to know what—open new doors of inquiry for the design of scientific research studies, regulatory institutions, and courts. The volume surveys the theory, practice, and future of blinding, drawing upon leading authors with a diverse range of methodologies and areas of expertise, including forensic sciences, medicine, law, philosophy, economics, psychology, sociology, and statistics. - Introduces readers to the primary policy issue this book seeks to address: biased decision-making. - Provides a focus on blinding as a solution to bias, which has applicability in many domains. - Traces the development of blinding as a solution to bias, and explores the different ways blinding has been employed. - Includes case studies to explore particular uses of blinding for statisticians, radiologists, and fingerprint examiners, and whether the jurors and judges who rely upon them will value and understand blinding. |
| confirmation bias in science: Handbook of Meta-analysis in Ecology and Evolution Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen, 2013-04-21 Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets |
| confirmation bias in science: Rigor Mortis Richard Harris, 2017-04-04 An essential book to understanding whether the new miracle cure is good science or simply too good to be true American taxpayers spend $30 billion annually funding biomedical research, but over half of these studies can't be replicated due to poor experimental design, improper methods, and sloppy statistics. Bad science doesn't just hold back medical progress, it can sign the equivalent of a death sentence for terminal patients. In Rigor Mortis, Richard Harris explores these urgent issues with vivid anecdotes, personal stories, and interviews with the top biomedical researchers. We need to fix our dysfunctional biomedical system -- before it's too late. |
| confirmation bias in science: Critical Thinking, Science, and Pseudoscience Caleb W. Lack, PhD, Jacques Rousseau, MA, 2016-03-08 This unique text for undergraduate courses teaches students to apply critical thinking skills across all academic disciplines by examining popular pseudoscientific claims through a multidisciplinary lens. Rather than merely focusing on critical thinking grounded in philosophy and psychology, the text incorporates the perspectives of biology, physics, medicine, and other disciplines to reinforce different categories of rational explanation. The book is also distinguished by its respectful approach to individuals whose ideas are, according to the authors, deeply flawed. Accessible and engaging, it describes what critical thinking is, why it is important, and how to learn and apply skillsóusing scientific methods--that promote it. The text also examines why critical thinking can be difficult to engage in and explores the psychological and social reasons why people are drawn to and find credence in extraordinary claims. From alien abductions and psychic phenomena to strange creatures and unsupported alternative medical treatments, the text uses examples from a wide range of pseudoscience fields and brings evidence from diverse disciplines to critically examine these erroneous claims. Particularly timely is the text's examination of how, using the narrative of today's culture wars, religion and culture impact science. The authors focus on how the human brain, rife with natural biases, does not process information in a rational fashion, and the social factors that prevent individuals from gaining an unbiased, critical perspective on information. Authored by a psychologist and a philosopher who have extensive experience teaching and writing on critical thinking and skeptical inquiry, this work will help students to strengthen their skills in reasoning and debate, become intelligent consumers of research, and make well-informed choices as citizens. Key Features: Addresses the foundations of critical thinking and how to apply it through the popular activity of examining pseudoscience Explains why humans are vulnerable to pseudoscientific claims and how critical thinking can overcome fallacies and biases Reinforces critical thinking through multidisciplinary analyses of pseudoscience Examines how religion and culture impact science Enlightens using an engaging, entertaining approach Written by experienced and innovative scholar/educators well known in the skeptic community Features teaching resources including an Instructor's Guide and Powepoint slides |
| confirmation bias in science: Judgment Under Uncertainty Daniel Kahneman, Paul Slovic, Amos Tversky, 1982-04-30 Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies. |
| confirmation bias in science: Public Engagement on Genetically Modified Organisms National Research Council, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Earth and Life Studies, Board on Life Sciences, Roundtable on Public Interfaces of the Life Sciences, 2015-07-07 The National Research Council's Roundtable on Public Interfaces of the Life Sciences held a 2-day workshop on January 15-16, 2015, in Washington, DC to explore the public interfaces between scientists and citizens in the context of genetically engineered (GE) organisms. The workshop presentations and discussions dealt with perspectives on scientific engagement in a world where science is interpreted through a variety of lenses, including cultural values and political dispositions, and with strategies based on evidence in social science to improve public conversation about controversial topics in science. The workshop focused on public perceptions and debates about genetically engineered plants and animals, commonly known as genetically modified organisms (GMOs), because the development and application of GMOs are heavily debated among some stakeholders, including scientists. For some applications of GMOs, the societal debate is so contentious that it can be difficult for members of the public, including policy-makers, to make decisions. Thus, although the workshop focused on issues related to public interfaces with the life science that apply to many science policy debates, the discussions are particularly relevant for anyone involved with the GMO debate. Public Engagement on Genetically Modified Organisms: When Science and Citizens Connect summarizes the presentations and discussion of the workshop. |
| confirmation bias in science: Denying to the Grave Sara E. Gorman, Jack M. Gorman, 2017 In Denying to the Grave, authors Sara and Jack Gorman explore the psychology of health science denial. Using several examples of such denial as test cases, they propose seven key principles that may lead individuals to reject accepted health-related wisdom. |
| confirmation bias in science: The Logic of Scientific Discovery Karl Popper, 2005-11-04 Described by the philosopher A.J. Ayer as a work of 'great originality and power', this book revolutionized contemporary thinking on science and knowledge. Ideas such as the now legendary doctrine of 'falsificationism' electrified the scientific community, influencing even working scientists, as well as post-war philosophy. This astonishing work ranks alongside The Open Society and Its Enemies as one of Popper's most enduring books and contains insights and arguments that demand to be read to this day. |
| confirmation bias in science: When Can You Trust the Experts? Daniel T. Willingham, 2012-06-20 Clear, easy principles to spot what's nonsense and what's reliable Each year, teachers, administrators, and parents face a barrage of new education software, games, workbooks, and professional development programs purporting to be based on the latest research. While some of these products are rooted in solid science, the research behind many others is grossly exaggerated. This new book, written by a top thought leader, helps everyday teachers, administrators, and family members—who don't have years of statistics courses under their belts—separate the wheat from the chaff and determine which new educational approaches are scientifically supported and worth adopting. Author's first book, Why Don't Students Like School?, catapulted him to superstar status in the field of education Willingham's work has been hailed as brilliant analysis by The Wall Street Journal and a triumph by The Washington Post Author blogs for The Washington Post and Brittanica.com, and writes a column for American Educator In this insightful book, thought leader and bestselling author Dan Willingham offers an easy, reliable way to discern which programs are scientifically supported and which are the equivalent of educational snake oil. |
| confirmation bias in science: Risk Dan Gardner, 2009-02-24 In the tradition of Malcolm Gladwell, Gardner explores a new way of thinking about the decisions we make. We are the safest and healthiest human beings who ever lived, and yet irrational fear is growing, with deadly consequences — such as the 1,595 Americans killed when they made the mistake of switching from planes to cars after September 11. In part, this irrationality is caused by those — politicians, activists, and the media — who promote fear for their own gain. Culture also matters. But a more fundamental cause is human psychology. Working with risk science pioneer Paul Slovic, author Dan Gardner sets out to explain in a compulsively readable fashion just what that statement above means as to how we make decisions and run our lives. We learn that the brain has not one but two systems to analyze risk. One is primitive, unconscious, and intuitive. The other is conscious and rational. The two systems often agree, but occasionally they come to very different conclusions. When that happens, we can find ourselves worrying about what the statistics tell us is a trivial threat — terrorism, child abduction, cancer caused by chemical pollution — or shrugging off serious risks like obesity and smoking. Gladwell told us about “the black box” of our brains; Gardner takes us inside, helping us to understand how to deconstruct the information we’re bombarded with and respond more logically and adaptively to our world. Risk is cutting-edge reading. |
| confirmation bias in science: Understand, Manage, and Prevent Algorithmic Bias Tobias Baer, 2019-06-07 Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias |
| confirmation bias in science: Strengthening Forensic Science in the United States National Research Council, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Policy and Global Affairs, Committee on Science, Technology, and Law, Committee on Identifying the Needs of the Forensic Sciences Community, 2009-07-29 Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators. |
| confirmation bias in science: Bias in Science and Communication Matthew Brian Welsh, 2018 This book is intended as an introduction to a wide variety of biases affecting human cognition, with a specific focus on how they affect scientists and the communication of science. The role of this book is to lay out how these common biases affect the specific types of judgements, decisions and communications made by scientists. |
| confirmation bias in science: Thinking, Fast and Slow Daniel Kahneman, 2011-10-25 *Major New York Times Bestseller *More than 2.6 million copies sold *One of The New York Times Book Review's ten best books of the year *Selected by The Wall Street Journal as one of the best nonfiction books of the year *Presidential Medal of Freedom Recipient *Daniel Kahneman's work with Amos Tversky is the subject of Michael Lewis's best-selling The Undoing Project: A Friendship That Changed Our Minds In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Topping bestseller lists for almost ten years, Thinking, Fast and Slow is a contemporary classic, an essential book that has changed the lives of millions of readers. |
| confirmation bias in science: Forensic Victimology Brent E. Turvey, 2013-08-08 Published in 2009, the first edition of Forensic Victimology introduced criminologists and criminal investigators to the idea of systematically gathering and examining victim information for the purposes of addressing investigative and forensic issues. The concepts presented within immediately proved vital to social scientists researching victims-offender relationships; investigators and forensic scientists seeking to reconstruct events and establish the elements of a crime; and criminal profilers seeking to link pattern crimes. This is because the principles and guidelines in Forensic Victimology were written to serve criminal investigation and anticipate courtroom testimony. As with the first, this second edition of Forensic Victimology is an applied presentation of a traditionally theoretical subject written by criminal justice practitioners with years of experience-both in the field and in the classroom. It distinguishes the investigative and forensic aspects of applied victim study as necessary adjuncts to what has often been considered a theoretical field. It then identifies the benefits of forensic victimology to casework, providing clearly defined methods and those standards of practice necessary for effectively serving the criminal justice system. - 30% new content, with new chapters on Emergency Services, False Confessions, and Human Trafficking - Use of up-to-date references and case examples to demonstrate the application of forensic victimology - Provides context and scope for both the investigative and forensic aspects of case examination and evidence interpretation - Approaches the study of victimology from a realistic standpoint, moving away from stereotypes and archetypes - Useful for students and professionals working in relation to behavioral science, criminology, criminal justice, forensic science, and criminal investigation |
| confirmation bias in science: Science Denial Gale M. Sinatra, Barbara K. Hofer, 2021-06-22 How do individuals decide whether to accept human causes of climate change, vaccinate their children against childhood diseases, or practice social distancing during a pandemic? Democracies depend on educated citizens who can make informed decisions for the benefit of their health and well-being, as well as their communities, nations, and planet. Understanding key psychological explanations for science denial and doubt can help provide a means for improving scientific literacy and understandingcritically important at a time when denial has become deadly. In Science Denial: Why It Happens and What to Do About It, the authors identify the problem and why it matters and offer tools for addressing it. This book explains both the importance of science education and its limitations, shows how science communicators may inadvertently contribute to the problem, and explains how the internet and social media foster misinformation and disinformation. The authors focus on key psychological constructs such as reasoning biases, social identity, epistemic cognition, and emotions and attitudes that limit or facilitate public understanding of science, and describe solutions for individuals, educators, science communicators, and policy makers. If you have ever wondered why science denial exists, want to know how to understand your own biases and those of others, and would like to address the problem, this book will provide the insights you are seeking. |
| confirmation bias in science: The Optimism Bias Tali Sharot, 2011-06-14 Psychologists have long been aware that most people maintain an irrationally positive outlook on life—but why? Turns out, we might be hardwired that way. In this absorbing exploration, Tali Sharot—one of the most innovative neuroscientists at work today—demonstrates that optimism may be crucial to human existence. The Optimism Bias explores how the brain generates hope and what happens when it fails; how the brains of optimists and pessimists differ; why we are terrible at predicting what will make us happy; how emotions strengthen our ability to recollect; how anticipation and dread affect us; how our optimistic illusions affect our financial, professional, and emotional decisions; and more. Drawing on cutting-edge science, The Optimism Bias provides us with startling new insight into the workings of the brain and the major role that optimism plays in determining how we live our lives. |
| confirmation bias in science: A Mind of Its Own: How Your Brain Distorts and Deceives Cordelia Fine, 2008-06-17 Provocative enough to make you start questioning your each and every action.—Entertainment Weekly The brain's power is confirmed and touted every day in new studies and research. And yet we tend to take our brains for granted, without suspecting that those masses of hard-working neurons might not always be working for us. Cordelia Fine introduces us to a brain we might not want to meet, a brain with a mind of its own. She illustrates the brain's tendency toward self-delusion as she explores how the mind defends and glorifies the ego by twisting and warping our perceptions. Our brains employ a slew of inborn mind-bugs and prejudices, from hindsight bias to unrealistic optimism, from moral excuse-making to wishful thinking—all designed to prevent us from seeing the truth about the world and the people around us, and about ourselves. |
| confirmation bias in science: Bad Science Ben Goldacre, 2010-10-12 Have you ever wondered how one day the media can assert that alcohol is bad for us and the next unashamedly run a story touting the benefits of daily alcohol consumption? Or how a drug that is pulled off the market for causing heart attacks ever got approved in the first place? How can average readers, who aren't medical doctors or Ph.D.s in biochemistry, tell what they should be paying attention to and what's, well, just more bullshit? Ben Goldacre has made a point of exposing quack doctors and nutritionists, bogus credentialing programs, and biased scientific studies. He has also taken the media to task for its willingness to throw facts and proof out the window. But he's not here just to tell you what's wrong. Goldacre is here to teach you how to evaluate placebo effects, double-blind studies, and sample sizes, so that you can recognize bad science when you see it. You're about to feel a whole lot better. |
| confirmation bias in science: The Skeptic's Guide to Sports Science Nicholas Tiller, 2020-03-27 The global health and fitness industry is worth an estimated $4 trillion. We spend $90 billion each year on health club memberships and $100 billion each year on dietary supplements. In such an industrial climate, lax regulations on the products we are sold (supplements, fad-diets, training programs, gadgets, and garments) result in marketing campaigns underpinned by strong claims and weak evidence. Moreover, our critical faculties are ill-suited to a culture characterized by fake news, social media, misinformation, and bad science. We have become walking, talking prey to 21st-Century Snake Oil salesmen. In The Skeptic’s Guide to Sports Science, Nicholas B. Tiller confronts the claims behind the products and the evidence behind the claims. The author discusses what might be wrong with the sales pitch, the glossy magazine advert, and the celebrity endorsements that our heuristically-wired brains find so innately attractive. Tiller also explores the appeal of the one quick fix, the fallacious arguments that are a mainstay of product advertising, and the critical steps we must take in retraining our minds to navigate the pitfalls of the modern consumerist culture. This informative and accessible volume pulls no punches in scrutinizing the plausibility of, and evidence for, the most popular sports products and practices on the market. Readers are encouraged to confront their conceptualizations of the industry and, by the book’s end, they will have acquired the skills necessary to independently judge the effectiveness of sports-related products. This treatise on the commercialization of science in sport and exercise is a must-read for exercisers, athletes, students, and practitioners who hope to retain their intellectual integrity in a lucrative health and fitness industry that is spiraling out-of-control. |
| confirmation bias in science: Why People Believe Weird Things Michael Shermer, 2002-09-01 This sparkling book romps over the range of science and anti-science. --Jared Diamond, author of Guns, Germs, and Steel Revised and Expanded Edition. In this age of supposed scientific enlightenment, many people still believe in mind reading, past-life regression theory, New Age hokum, and alien abduction. A no-holds-barred assault on popular superstitions and prejudices, with more than 80,000 copies in print, Why People Believe Weird Things debunks these nonsensical claims and explores the very human reasons people find otherworldly phenomena, conspiracy theories, and cults so appealing. In an entirely new chapter, Why Smart People Believe in Weird Things, Michael Shermer takes on science luminaries like physicist Frank Tippler and others, who hide their spiritual beliefs behind the trappings of science. Shermer, science historian and true crusader, also reveals the more dangerous side of such illogical thinking, including Holocaust denial, the recovered-memory movement, the satanic ritual abuse scare, and other modern crazes. Why People Believe Strange Things is an eye-opening resource for the most gullible among us and those who want to protect them. |
| confirmation bias in science: The Psychology and Sociology of Wrongful Convictions Wendy J Koen, C. Michael Bowers, 2018-06-26 Wrongful convictions are the result of faulty or false scientific evidence in 50% of the cases. Defense counsel is often at a great disadvantage in defending against evidence based on science. Illusory Evidence: The Psychology and Sociology of Wrongful Convictions is written for the non-scientist, to make complicated scientific information clear and concise enough for attorneys and judges to master. This is obtained by providing case studies to simplify issues in forensic psychology for the legal professional. - Increases the courts' knowledge about areas of psychology that have been debunked, have advanced, or have been refined by the scientific community - Covers issues in psychological forensics, namely: Profiling, Psychological Defenses, Mitigation, Eyewitness Testimony/Identification, Child Testimony, Repressed Memories, False Confessions and Moral Panic - Trains prosecuting attorneys about the present state of the forensic psychology, to avoid relying only on legal precedent and will not present flawed science to the court - Provides defense attorneys the knowledge necessary to competently defend where forensic psychology plays a part in a prosecution - Arms innocence projects and appellate attorneys with the latest information to challenge convictions - Uses case studies to simplify issues in forensic psychology for the legal professional |
| confirmation bias in science: Systematicity Paul Hoyningen-Huene, 2013-05-02 In Systematicity, Paul Hoyningen-Huene answers the question What is science? by proposing that scientific knowledge is primarily distinguished from other forms of knowledge, especially everyday knowledge, by being more systematic. Science is here understood in the broadest possible sense, encompassing not only the natural sciences but also mathematics, the social sciences, and the humanities. The author develops his thesis in nine dimensions in which it is claimed that science is more systematic than other forms of knowledge: regarding descriptions, explanations, predictions, the defense of knowledge claims, critical discourse, epistemic connectedness, an ideal of completeness, knowledge generation, and the representation of knowledge. He compares his view with positions on the question held by philosophers from Aristotle to Nicholas Rescher. The book concludes with an exploration of some consequences of Hoyningen-Huene's view concerning the genesis and dynamics of science, the relationship of science and common sense, normative implications of the thesis, and the demarcation criterion between science and pseudo-science. |
| confirmation bias in science: Decision Making from a Cognitive Perspective , 1995-10-20 The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. This guest-edited special issue is devoted to research and discussion on decision making from a cognitive perspective. Topics include judgment and decision making with respect to memory processes and techniques, domain-specificity, and confirmation bias.Key Features* Synthesis of decision and cognitive research* New theoretical treatments of critical phenomena* New findings and systematic reviews of past work* Coverage of preference, inference, prediction, and hypothesis-testing* Written by the new leading generation of researchers |
| confirmation bias in science: The Enigma of Reason Hugo Mercier, Dan Sperber, 2017-04-17 “Brilliant...Timely and necessary.” —Financial Times “Especially timely as we struggle to make sense of how it is that individuals and communities persist in holding beliefs that have been thoroughly discredited.” —Darren Frey, Science If reason is what makes us human, why do we behave so irrationally? And if it is so useful, why didn’t it evolve in other animals? This groundbreaking account of the evolution of reason by two renowned cognitive scientists seeks to solve this double enigma. Reason, they argue, helps us justify our beliefs, convince others, and evaluate arguments. It makes it easier to cooperate and communicate and to live together in groups. Provocative, entertaining, and undeniably relevant, The Enigma of Reason will make many reasonable people rethink their beliefs. “Reasonable-seeming people are often totally irrational. Rarely has this insight seemed more relevant...Still, an essential puzzle remains: How did we come to be this way?...Cognitive scientists Hugo Mercier and Dan Sperber [argue that] reason developed not to enable us to solve abstract, logical problems...[but] to resolve the problems posed by living in collaborative groups.” —Elizabeth Kolbert, New Yorker “Turns reason’s weaknesses into strengths, arguing that its supposed flaws are actually design features that work remarkably well.” —Financial Times “The best thing I have read about human reasoning. It is extremely well written, interesting, and very enjoyable to read.” —Gilbert Harman, Princeton University |
| confirmation bias in science: The Believing Brain Michael Shermer, 2011-05-24 “A wonderfully lucid, accessible, and wide-ranging account of the boundary between justified and unjustified belief.” —Sam Harris, New York Times–bestselling author of The Moral Landscape and The End of Faith In this work synthesizing thirty years of research, psychologist, historian of science, and the world’s best-known skeptic Michael Shermer upends the traditional thinking about how humans form beliefs about the world. Simply put, beliefs come first and explanations for beliefs follow. The brain, Shermer argues, is a belief engine. From sensory data flowing in through the senses, the brain naturally begins to look for and find patterns, and then infuses those patterns with meaning. Our brains connect the dots of our world into meaningful patterns that explain why things happen, and these patterns become beliefs. Once beliefs are formed the brain begins to look for and find confirmatory evidence in support of those beliefs, which accelerates the process of reinforcing them, and round and round the process goes in a positive-feedback loop of belief confirmation. Shermer outlines the numerous cognitive tools our brains engage to reinforce our beliefs as truths. Interlaced with his theory of belief, Shermer provides countless real-world examples of how this process operates, from politics, economics, and religion to conspiracy theories, the supernatural, and the paranormal. Ultimately, he demonstrates why science is the best tool ever devised to determine whether or not a belief matches reality. “A must read for everyone who wonders why religious and political beliefs are so rigid and polarized—or why the other side is always wrong, but somehow doesn’t see it.” —Dr. Leonard Mlodinow, physicist and author of The Drunkard’s Walk and The Grand Design (with Stephen Hawking) |
| confirmation bias in science: The Invisible Gorilla Christopher Chabris, Daniel Simons, 2011-06-07 Reading this book will make you less sure of yourself—and that’s a good thing. In The Invisible Gorilla, Christopher Chabris and Daniel Simons, creators of one of psychology’s most famous experiments, use remarkable stories and counterintuitive scientific findings to demonstrate an important truth: Our minds don’t work the way we think they do. We think we see ourselves and the world as they really are, but we’re actually missing a whole lot. Chabris and Simons combine the work of other researchers with their own findings on attention, perception, memory, and reasoning to reveal how faulty intuitions often get us into trouble. In the process, they explain: • Why a company would spend billions to launch a product that its own analysts know will fail • How a police officer could run right past a brutal assault without seeing it • Why award-winning movies are full of editing mistakes • What criminals have in common with chess masters • Why measles and other childhood diseases are making a comeback • Why money managers could learn a lot from weather forecasters Again and again, we think we experience and understand the world as it is, but our thoughts are beset by everyday illusions. We write traffic laws and build criminal cases on the assumption that people will notice when something unusual happens right in front of them. We’re sure we know where we were on 9/11, falsely believing that vivid memories are seared into our minds with perfect fidelity. And as a society, we spend billions on devices to train our brains because we’re continually tempted by the lure of quick fixes and effortless self-improvement. The Invisible Gorilla reveals the myriad ways that our intuitions can deceive us, but it’s much more than a catalog of human failings. Chabris and Simons explain why we succumb to these everyday illusions and what we can do to inoculate ourselves against their effects. Ultimately, the book provides a kind of x-ray vision into our own minds, making it possible to pierce the veil of illusions that clouds our thoughts and to think clearly for perhaps the first time. |
| confirmation bias in science: Black Box Thinking Matthew Syed, 2015-11-03 Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail. We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses. For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record. Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture. Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy. Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox. |
| confirmation bias in science: Forensic Testimony C. Michael Bowers, 2013-09-07 Forensic Testimony: Science, Law and Expert Evidence—favored with an Honorable Mention in Law & Legal Studies at the Association of American Publishers' 2015 PROSE Awards—provides a clear and intuitive discussion of the legal presentation of expert testimony. The book delves into the effects, processes, and battles that occur in the presentation of opinion and scientific evidence by court-accepted forensic experts. It provides a timely review of the United States Federal Rules of Evidence (FRE) regarding expert testimony, and includes a multi-disciplinary look at the strengths and weaknesses in forensic science courtroom testimony. The statutes and the effects of judicial uses (or non-use) of the FRE, Daubert, Kumho, and the 2009 NAS Report on Forensic Science are also included. The presentation expands to study case law, legal opinions, and studies on the reliability and pitfalls of forensic expertise in the US court system. This book is an essential reference for anyone preparing to give expert testimony of forensic evidence. - Honorable Mention in the 2015 PROSE Awards in Law & Legal Studies from the Association of American Publishers - A multi-disciplinary forensic reference examining the strengths and weaknesses of forensic science in courtroom testimony - Focuses on forensic testimony and judicial decisions in light of the Federal Rules of Evidence, case interpretations, and the NAS report findings - Case studies, some from the Innocence Project, assist the reader in distinguishing good testimony from bad |
| confirmation bias in science: The Knowledge Illusion Steven Sloman, Philip Fernbach, 2017-03-14 “The Knowledge Illusion is filled with insights on how we should deal with our individual ignorance and collective wisdom.” —Steven Pinker We all think we know more than we actually do. Humans have built hugely complex societies and technologies, but most of us don’t even know how a pen or a toilet works. How have we achieved so much despite understanding so little? Cognitive scientists Steven Sloman and Philip Fernbach argue that we survive and thrive despite our mental shortcomings because we live in a rich community of knowledge. The key to our intelligence lies in the people and things around us. We’re constantly drawing on information and expertise stored outside our heads: in our bodies, our environment, our possessions, and the community with which we interact—and usually we don’t even realize we’re doing it. The human mind is both brilliant and pathetic. We have mastered fire, created democratic institutions, stood on the moon, and sequenced our genome. And yet each of us is error prone, sometimes irrational, and often ignorant. The fundamentally communal nature of intelligence and knowledge explains why we often assume we know more than we really do, why political opinions and false beliefs are so hard to change, and why individual-oriented approaches to education and management frequently fail. But our collaborative minds also enable us to do amazing things. The Knowledge Illusion contends that true genius can be found in the ways we create intelligence using the community around us. |
| confirmation bias in science: How Social Science Got Better Matt Grossmann, 2021-07-05 It seems like most of what we read about the academic social sciences in the mainstream media is negative. The field is facing mounting criticism, as canonical studies fail to replicate, questionable research practices abound, and researcher social and political biases come under fire. In response to these criticisms, Matt Grossmann, in How Social Science Got Better, provides a robust defense of the current state of the social sciences. Applying insights from the philosophy, history, and sociology of science and providing new data on research trends and scholarly views, he argues that, far from crisis, social science is undergoing an unparalleled renaissance of ever-broader understanding and application. According to Grossmann, social science research today has never been more relevant, rigorous, or self-reflective because scholars have a much better idea of their blind spots and biases. He highlights how scholars now closely analyze the impact of racial, gender, geographic, methodological, political, and ideological differences on research questions; how the incentives of academia influence our research practices; and how universal human desires to avoid uncomfortable truths and easily solve problems affect our conclusions. Though misaligned incentive structures of course remain, a messy, collective deliberation across the research community has shifted us into an unprecedented age of theoretical diversity, open and connected data, and public scholarship. Grossmann's wide-ranging account of current trends will necessarily force the academy's many critics to rethink their lazy critiques and instead acknowledge the path-breaking advances occurring in the social sciences today. |
| confirmation bias in science: When Good Thinking Goes Bad Todd C. Riniolo, 2010-08-05 Todd Riniolo has written the perfect primer on critical thinking, not just for critical thinkers but for everyone. Not only should this book be the primary text of critical thinking courses throughout the land, but the chapters on how to think critically about political, economic, and social issues should be required reading for all members of Congress, along with the White House staff and the President himself. Riniolo has cracked open our skulls and revealed that what lies inside is a mass of irrational goo that must be reshaped through vigilance and education. This book is where it begins.-MICHAEL SHERMER, Publisher of Skeptic magazine; Monthly columnist for Scientific American; Author of Why People Believe Weird Things and Why Darwin MattersIn 1975, the Environmental Fund sponsored a full-page advertisement in leading newspapers, which predicted that the world as we know it will likely be ruined before the year 2,000, due to the assumed inability of world food production to keep pace with the increase in population. The statement was endorsed by some of the finest thinkers of the time-scientists, scholars, and other professionals who had spent their careers applying the principles of critical thinking to their chosen disciplines. Nonetheless, in this instance, they all failed to use the same rigor in assessing the probability of looming disaster and badly miscalculated.This is just one example of how even the best thinkers can sometimes go astray, and it illustrates how easily unconscious biases can undermine the critical thinking process. In this insightful analysis of the mental pitfalls that trip up even elite critical thinkers, psychologist Todd C. Riniolo makes a compelling case that under certain circumstances everyone is vulnerable to accepting erroneous beliefs.Riniolo begins by reviewing the hallmarks of critical thinking related to the evaluation of claims, such as the use of the double-blind procedure and the law of parsimony. He then provides an evolutionary framework and empirical supporting evidence from cognitive psychology to explain why being inconsistent in the use of critical thinking is part of our evolutionary heritage. Each of us possesses cognitive biases that make us prone to maintaining our current beliefs (both true and false). He concludes by focusing on a wide range of claims-environmental, political, economic, multicultural-to illustrate how in certain contexts we all are tempted to abandon critical thinking.Thoroughly researched yet written in a lively, witty style, this unique approach to critical thinking will interest students, teachers, and anyone who wishes to become a better thinker.Todd C. Riniolo (Grand Island, NY) is an associate professor of psychology at Medaille College. He has written many peer-reviewed articles in the psychological literature. |
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Confirmation - Wikipedia
In Confirmation, those who have been baptized declare their faith in Christ and are Strengthened by the Holy Spirit for continuing discipleship. Confirmation reminds us that we are baptized …
Catholic Confirmation Explained - About Catholics
Jun 10, 2022 · Confirmation is a sacrament of initiation which completes baptism through sealing in the Holy Spirit and anoints the recipient as priest, prophet, and king. Who Can Receive …
CONFIRMATION Definition & Meaning - Merriam-Webster
The meaning of CONFIRMATION is an act or process of confirming. How to use confirmation in a sentence.
The Sacrament of Confirmation in the Catholic Church
Confirmation is regarded as the perfection of baptism, because, as the introduction to the Rite of Confirmation states: by the sacrament of Confirmation, [the baptized] are more perfectly bound …
Confirmation | USCCB - United States Conference of Catholic …
In the Sacrament of Confirmation, the baptized person is "sealed with the gift of the Holy Spirit" and is strengthened for service to the Body of Christ. The prophets of the Old Testament …
CONFIRMATION | English meaning - Cambridge Dictionary
CONFIRMATION definition: 1. a statement, often written, that an arrangement or meeting is certain: 2. a statement or proof…. Learn more.
What is CONFIRMATION? - Your Catholic Guide
Confirmation is the sacrament through which the Holy Spirit comes to us in a special way and enables us to profess our faith as strong and perfect Christians and soldiers of Jesus Christ. …
What does confirmation mean? - Bible Hub
Confirmation, as reflected throughout Scripture, is about receiving divine strength, assurance, and stability in one’s faith. It is both a personal, experiential reality and a corporate …
Confirmation | Catholic Answers Encyclopedia
Confirmation, a sacrament in which the Holy Ghost is given to those already baptized in order to make them strong and perfect Christians and soldiers of Jesus Christ. It has been variously …
Confirmation bias without rhyme or reason - Springer
1 Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science, London, UK ... bias should be specific to reasoning—as it seems to be” (p. 111), …
Standard for Verification of Source Conclusions in Toolmark …
Aug 6, 2020 · Objectivity. Science and Justice 53: 81-82. 2. Dror, I., 2013. Practical solutions to cognitive and human factor challenges in forensic science. Forensic Science Policy and …
Cognitive Bias and Its Impact on Expert Witnesses and the Court
evidence is exposed to the bias and in turn exposes others to bias as well24. Cognitive Bias and the Law in the United States What science has proved, the law has long intuited. Bias may be …
Volume 11 | Issue 2 Article 13 Fall 09-30-2020 Transforming
Sep 30, 2020 · Literacy and Social Science Courses . James H. Wittebols . University of Windsor, jhw@uwindsor.ca. Follow this and additional works at: ... Wittebols, J. H. (2020). Transforming …
Grobman, K. H. (2018). Confirmation bias and the 2-4-6 …
errors like the confirmation bias (Next Generation Science Standard LS2D). Teachers might highlight Teachers might highlight that the world in which our reasoning evolved is quite …
Confirmation Bias in Police Decision Making - Coastal
judges and juries are better educated about confirmation bias, they may look harder at conclusions drawn by forensic science that supports eye-witness identification, because such …
The Psychology of Climate Change Communication
ConTEnTS page 1 Introduction 3 know YouR AudIEnCE 3 What Is a Mental Model? 4 Mental Models and the Confirmation Bias Example: The Confirmation Bias and Climate Change 4 …
Forensic Science Regulator Guidance - GOV.UK
1.2.1 There are a number o f categories of cognitive bias described in more detail in the body of the text . a. Expectation bias, also known as experimenter’s bias, where the expectation of …
Confirmation Bias in Gaussian Mixture Models - arXiv.org
Aug 20, 2024 · dismissing contradictory evidence. Recognizing and addressing confirmation bias is crucial to ensure that scientific research remains rigorous, objective, and evidence-based …
Your Mind Online: The Influence of Contingent Self-Esteem …
College of Science and Health Theses and Dissertations College of Science and Health Summer 8-22-2021 Your Mind Online: The Influence of Contingent Self-Esteem on Confirmation Bias …
Confirmation Bias: The Role of Messages and Messengers.
witness more confirmation bias and relatively more gullible than the Democrats. JEL: D91, D83 Keywords: Confirmation Bias, Message, Messenger, Covid-19, Political Party I. Introduction …
The Ulysses Principle: A Criterial Framework for Reducing Bias …
for Reducing Bias When Enlisting the Work of Historians Jørgen Møller1 and Svend-Erik Skaaning1 Abstract The historical turn in social sciencehas prompted scholars to engage with …
Can Confirmation Bias Improve Group Learning?
of confirmation bias focus on individual learning, human knowledge is typically developed within a social structure. We use network models to show that moderate confirmation bias often …
Confirmation Bias in Predictive Reading - JSTOR
Confirmation bias in predictive reading Emphasizing refutation over confirmation in predictive reading reinforces positive patterns of logic ... science, was the first to fully recognize the …
Forensic Science Regulator Guidance - GOV.UK
1.2.1 There are a number o f categories of cognitive bias described in more detail in the body of the text . a. Expectation bias, also known as experimenter’s bias, where the expectation of …
Confirmation Bias in Generative AI Chatbots: Mechanisms, …
nuanced understanding of confirmation bias in generative AI chatbots will emerge, paving the way for the responsible and equitable use of these transformative technologies. 2. Conceptual …
The Need for Sequential Unmasking - United States …
The Forensic Confirmation Bias: Problems, Perspectives and Proposed Solutions 2 J. App. Research in Memory & Cognition 42 (2013) Sherry Nahkaeizadeh, Itiel Dror ... Cognitive Bias …
COGNITIVE HEURISTICS IN SOFTWARE ENGINEERING: …
In this paper, we study confirmation bias and extract confirmation bias metrics of software testers using a psychology test based on Wason’s selection task [3] and then correlate it with the …
Journal of Applied Research in Memory and Cognition
forensic confirmation bias: Problems, perspectives, and proposed solutions ... forensic science. Finally, we propose best practices that would reduce bias in the forensic laboratory well as its …
Argumentative Experience: Reducing Confirmation Bias on …
Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates LI SHI∗, School of Information, University of Texas at …
A Crowdsourced Study of Visual Strategies for Mitigating …
In particular, to determine that confirmation bias exists and whether using visualization will mitigate confirmation bias, we designed a Mechanical Turk study testing confirmation bias …
TED Connection: Three Kinds of Bias That Shape Your …
©This TED Connection is the property of the Mensa Education & Research Foundation, mensafoundation.org. It is provided as a complimentary service to the public.
Confirmation Bias in the Utilization of Others Opinion …
confirmation bias has significant impact on domains ranging from politics to science and education. Little is known about the mechanisms underlying this fundamental characteristic of …
On Bias in Forensic Science - United States Department of …
May 30, 2014 · On Bias in Forensic Science National Commission on Forensic Science – May 12, 2014 . 56-year-old Vatsala Thakkar was a doctor ... Confirmation bias Congruence bias …
The Cognitive Bias Virus: How it Infects Our Cases
CONTEXTUAL BIAS: UNCONSCIOUS AND UNAVOIDABLE “a natural and automatic feature of human cognition that can occur in the absence of self -interest and operate without conscious …
Confirmationversus Falsificationism
Confirmation and falsification are different strategies for testing theories and character-izing the outcomes of those tests. Roughly speaking, confirmation is the act of using evidence or …
The Effects of Perspective Taking on Intellectual Humility and …
Confirmation Bias Introductions According to Plato, Socrates once confessed that all he knows is that he knows nothing (Plato, 1977), displaying humility towards knowledge and respect for …
Argumentative Experience: Reducing Confirmation Bias on …
2.2 Confirmation Biases and Debiasing Strategies in Information Seeking 2.2.1 The Definition and Measurements of User Confirmation Biases. Confirmation Biasis one of the cognitive biases …
Fuzzy Sets on Shaky Ground: Parameter Sensitivity …
small changes in parameter values and the method's built-in confirmation bias on the overall conclusions about sufficient conditions. 1 Introduction For as long as social science has been …
Wrongful convictions and forensic science - Wiley …
Forensic science—in the form of postconviction DNA testing—has played a critical role in the revelation that wrongful convictions are a problem-atic feature of criminal justice. Yet, forensic …
Microsoft Word - Robert Dunne Final Report For Cognitive …
lation. Confirmation bias can occur even when people have no previous knowledge of the categories and features in question, because of this it is not always caused by an attentional …
Diagnostic and Confirmation Strategies in Trait Hypothesis …
the confirmation bias is less obvious, and possible reasons for this effect are discussed. ... science (eg., Lakatos, 1970; Platt, 1964; Popper, 1959, 1970) have argued that scientists tend …
Basic Psychosocial and Biological Contributors to …
In psychological science, research on confirmation bias has almost exclusively examined this bias as a cognitive feature of the mind, yet cognition is inextricably entwined with emotion. …
The role of cognitive biases in conspiracy beliefs: A literature …
GAGLIARDI 3 p.85)andportrayingbelieversas“inneedofacure”(Basham&Dentith,2016,p.13).Anumber …
G J ., MOTION TO DISQUALIFY GARY M. REISFIELD, M.D., THE …
5 bias.5 Confirmation bias is “well documented”6 and ubiquitous.7 Just the simple act of the prosecutor handing over material to an expert risks bias.8 The risk here was far greater …
The Sin of Bias - assets.press.princeton.edu
in human reasoning: confirmation bias. When we fall prey to confirmation bias, we seek out and favor evidence that agrees with our existing beliefs, while at the same time ignoring or …
Confirmation Bias in Criminal Cases - DiVA
Lidén, M. 2018. Confirmation Bias in Criminal Cases. 284 pp. Uppsala: Department of Law, Uppsala University. ISBN 978-91-506-2720-6. Confirmation bias is a tendency to selectively …
Controlling for Confirmation Bias in Child Sexual Abuse …
May 19, 2021 · Controlling for Confirmation Bias in Child Sexual Abuse Interviews 2 The Journal of the American Academy of Psychiatry and the Law A variety of forensic interview protocols, …
Modern Pterosaurs and Confirmation Bias
with the negative bias I had from earlier years, however, and the apparent lack of support from any scientist led me into a confirmation bias. I saw that apparent lack of scientific support as if …
Thinking About Thinking: Exploring Bias in Cybersecurity …
understanding and overcoming bias. The Psychology of Bias Bias is the tendency for people to favor one group, person, or thing over another, while unfairly discriminating against the …
Do Different Personality Types Differ in Level of Confirmation …
conscientiousness will score high in confirmation bias; high levels of agreeableness will result in low scores of confirmation bias; and the final hypothesis is people who score high in …
Confirmation Bias - Ciaran McHale
Confirmation Bias 8 Science nThe history of science shows a recurring pattern:-Most scientists believe theory X-A new theory, Y, is developed that contradicts theory X-Most scientists …
Seeing What We Want to See: Confirmation Bias in Animal …
The science of ethology has long contended with biases that may render behavioral observations less than completely objective (Altmann 1974; Jordan & Burghardt 1986; Caine 1990; Kelly …
Introduction to the Physical Sciences - Edmentum
Research Bias . Describe and provide an example for each type of bias. Scientists much take appropriate steps to _____ the potential for bias in a study. Summary . How does the study of …
Combating Confirmation Bias - National Institute of …
Combating Confirmation Bias Can Forensic Science Benefit from Importing Eyewitness Identification Procedures? Jeff Kukucka, Ph.D. Two Types of Processing BOTTOM-UP TOP …
Evidence-Based Bias? Considerations for Confirmation Bias …
science for the field. Confirmation bias exists, has the power to affect our decisions, and must be consciously acknowledged when we decide on treatment approaches. Mary Beth Schmitt, …
Argumentative Experience: Reducing Confirmation Bias on …
Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates LI SHI∗, School of Information, University of Texas at …
Confirmation Bias in the United States Supreme Court …
taminated by confirmation bias, or have been affected by expectations about the likely effects of judicial preferences on case outcomes. Using a sample of ... 2009 Midwest Political Science …
What Educators Should Know
Another way in which implicit bias can operate in education is through confirmation bias: the unconscious tendency to seek information that confirms our preexisting beliefs, even when …
CONTEXT IMPACTS ON THE CONFIRMATION BIAS 1
confirmation bias (Bos, Kruikemeier, & de Vreese, 2016; Skovsgaad, Shehata, & Strömbäck, 2016), but the findings were not derived from rigorous cross-cultural comparisons, and also …
