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Walter Gratzer's themes in the stories he relates in this book are collective delusion and human folly. Science is generally seen as a process bound by rigorous rules, which its practitioners must not transgress. Deliberate fraud occasionally intrudes, but it is soon detected, the perpetrators cast out and the course of discovery barely disturbed. Far more interesting are the outbreaks of self-delusion that from time to time afflict upright and competent researchers, and then spread like an epidemic or mass-hysteria through a sober and respectable scientific community. When this happens the rules by which scientists normally govern their working lives are suddenly suspended. Sometimes these episodes are provoked by personal vanity, an unwillingness to acknowledge error or even contemplate the possibility that a hard-won success is a will o' the wisp; at other times they stem from loyalty to a respected and trusted guru, or even from patriotic pride; and, worst of all, they may be a consequence of a political ideology which imposes its own interpretation on scientists' observations of the natural world. Unreason and credulity supervene, illusory phenomena are described and measured, and theories are developed to explain them - until suddenly, often for no single reason, the bubble bursts, leaving behind it a residue of acrimony, recrimination, embarrassment, and ruined reputations. Here, then, are radiations, measured with high precision yet existing only in the minds of those who observed them; the Russian water, which some thought might congeal the oceans; phantom diseases that called for heroic surgery; monkey testis implants that restored the sexual powers of ageing roues and of tired sheep; truths about genetics and about the nature of matter, perceptible only to Aryan scientists in the Third Reich or Marxist ideologues in the Soviet Union; and much more. The Undergrowth of Science explores, in terms accessible to the lay reader, the history of such episodes, up to our own time, in all their absurdity, tragedy, and pathos.
Examines instances of scientific fraud in research areas ranging from astronomy and physics to biology and medicine, and assesses the influence of huge monetary rewards and enormous research organizations on corruption in science
From a journalist and former lab researcher, a penetrating investigation of the explosion in cases of scientific fraud and the factors behind it. In the 1970s, a scientific scandal about painted mice hit the headlines. A cancer researcher was found to have deliberately falsified his experiments by coloring transplanted mouse skin with ink. This widely publicized case of scientific misconduct marked the beginning of an epidemic of fraud that plagues the scientific community today. From manipulated results and made-up data to retouched illustrations and plagiarism, cases of scientific fraud have skyrocketed in the past two decades, especially in the biomedical sciences. Fraud in the Lab examines cases of scientific misconduct around the world and asks why this behavior is so pervasive. Nicolas Chevassus-au-Louis points to large-scale trends that have led to an environment of heightened competition, extreme self-interest, and emphasis on short-term payoffs. Because of the move toward highly specialized research, fewer experts are qualified to verify experimental findings. And the pace of journal publishing has exacerbated the scientific rewards system—publish or perish holds sway more than ever. Even when instances of misconduct are discovered, researchers often face few consequences, and falsified data may continue to circulate after an article has been retracted. Sharp and damning, this exposé details the circumstances that have allowed scientific standards to decline. Fraud in the Lab reveals the intense social pressures that lead to fraud, documents the lasting impact it has had on the scientific community, and highlights recent initiatives and proposals to reduce the extent of misconduct in the future.
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.
How scientists through the ages have conducted thought experiments using imaginary entities—demons—to test the laws of nature and push the frontiers of what is possible Science may be known for banishing the demons of superstition from the modern world. Yet just as the demon-haunted world was being exorcized by the enlightening power of reason, a new kind of demon mischievously materialized in the scientific imagination itself. Scientists began to employ hypothetical beings to perform certain roles in thought experiments—experiments that can only be done in the imagination—and these impish assistants helped scientists achieve major breakthroughs that pushed forward the frontiers of science and technology. Spanning four centuries of discovery—from René Descartes, whose demon could hijack sensorial reality, to James Clerk Maxwell, whose molecular-sized demon deftly broke the second law of thermodynamics, to Darwin, Einstein, Feynman, and beyond—Jimena Canales tells a shadow history of science and the demons that bedevil it. She reveals how the greatest scientific thinkers used demons to explore problems, test the limits of what is possible, and better understand nature. Their imaginary familiars helped unlock the secrets of entropy, heredity, relativity, quantum mechanics, and other scientific wonders—and continue to inspire breakthroughs in the realms of computer science, artificial intelligence, and economics today. The world may no longer be haunted as it once was, but the demons of the scientific imagination are alive and well, continuing to play a vital role in scientists' efforts to explore the unknown and make the impossible real.
A scrupulous account that overturns many commonplace notions about how we can best detect lies and falsehoods From the advent of fake news to climate-science denial and Bernie Madoff’s appeal to investors, people can be astonishingly gullible. Some people appear authentic and sincere even when the facts discredit them, and many people fall victim to conspiracy theories and economic scams that should be dismissed as obviously ludicrous. This happens because of a near-universal human tendency to operate within a mindset that can be characterized as a “truth-default.” We uncritically accept most of the messages we receive as “honest.” We all are perceptually blind to deception. We are hardwired to be duped. The question is, can anything be done to militate against our vulnerability to deception without further eroding the trust in people and social institutions that we so desperately need in civil society? Timothy R. Levine’s Duped: Truth-Default Theory and the Social Science of Lying and Deception recounts a decades-long program of empirical research that culminates in a new theory of deception—truth-default theory. This theory holds that the content of incoming communication is typically and uncritically accepted as true, and most of the time, this is good. Truth-default allows humans to function socially. Further, because most deception is enacted by a few prolific liars, the so called “truth-bias” is not really a bias after all. Passive belief makes us right most of the time, but the catch is that it also makes us vulnerable to occasional deceit. Levine’s research on lie detection and truth-bias has produced many provocative new findings over the years. He has uncovered what makes some people more believable than others and has discovered several ways to improve lie-detection accuracy. In Duped, Levine details where these ideas came from, how they were tested, and how the findings combine to produce a coherent new understanding of human deception and deception detection.
The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.