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This book examines scientific evidence in both civil and criminal contexts.
Mark Taper, Subhash Lele and an esteemed group of contributors explore the relationships among hypotheses, models, data and interference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence.
The basic understanding which underlies scientific evidence - ideas such as the structure of experiments, causality, repeatability, validity and reliability- is not straightforward. But these ideas are needed to judge evidence in school science, in physics or chemistry or biology or psychology, in undergraduate science, and in understanding everyday issues to do with science. It is essential to be able to be critical of scientific evidence. The authors clearly set out the principles of investigation so that the reader will be confident in questioning the experts, making an informed choice or arriving at in informed opinion. The book is intended for a wide range of readers including those who want to: } collect their own evidence } be able to question and judge a wide range of science-based issues that we come across in the press or other media in everyday life } teach others how to understand evidence. This book has been developed from the authors′ work with first year undergraduates in a combined science course and in primary teacher training for science specialists. It is suitable for students training as primary science specialists, and also for ′A′ level and first-year undergraduates in science and science-related subjects.
Physicists think they have discovered the top quark. Biologists believe in evolution. But what precisely constitutes evidence for such claims, and why? Scientists often disagree with one another over whether or to what extent some evidence counts in favor of a theory because they are operating with different concepts of scientific evidence. These concepts need to be critically explored. Peter Achinstein has gathered some prominent philosophers and historians of science for critical and lively discussions of both general questions about the meaning of evidence and specific ones about evidence for particular scientific theories. Contributors: Peter Achinstein, The Johns Hopkins University; Steven Gimbel, Gettysburg College; Gary Hatfield, University of Pennsylvania; Frederick M. Kronz, University of Texas–Austin; Helen Longino, University of Minnesota; Deborah G. Mayo, Virginia Tech; Amy L. McLaughlin, Florida Atlantic University; John Norton, University of Pittsburgh; Lawrence M. Principe, The Johns Hopkins University; Richard Richards, University of Alabama; Alex Rosenberg, Duke University; Sherrilyn Roush, Rice University; Laura J. Snyder, St. Johns University; Kent Staley, St. Louis University.
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.
Marijuana is the world's most popular illicit drug, with hundreds of millions of regular users worldwide. One in three Americans has smoked pot at least once. The Drug Enforcement Agency estimates that Americans smoke five million pounds of marijuana each year. And yet marijuana remains largely misunderstood by both its advocates and its detractors. To some, marijuana is an insidious "stepping-stone" drug, enticing the inexperienced and paving the way to the inevitable abuse of harder drugs. To others, medical marijuana is an organic means of easing the discomfort or stimulating the appetite of the gravely ill. Others still view marijuana, like alcohol, as a largely harmless indulgence, dangerous only when used immoderately. All sides of the debate have appropriated the scientific evidence on marijuana to satisfy their claims. What then are we to make of these conflicting portrayals of a drug with historical origins dating back to 8,000 B.C.? Understanding Marijuana examines the biological, psychological, and societal impact of this controversial substance. What are the effects, for mind and body, of long-term use? Are smokers of marijuana more likely than non-users to abuse cocaine and heroine? What effect has the increasing potency of marijuana in recent years had on users and on use? Does our current legal policy toward marijuana make sense? Earleywine separates science from opinion to show how marijuana defies easy dichotomies. Tracing the medical and political debates surrounding marijuana in a balanced, objective fashion, this book will be the definitive primer on our most controversial and widely used illicit substance.
The Reference Manual on Scientific Evidence, Third Edition, assists judges in managing cases involving complex scientific and technical evidence by describing the basic tenets of key scientific fields from which legal evidence is typically derived and by providing examples of cases in which that evidence has been used. First published in 1994 by the Federal Judicial Center, the Reference Manual on Scientific Evidence has been relied upon in the legal and academic communities and is often cited by various courts and others. Judges faced with disputes over the admissibility of scientific and technical evidence refer to the manual to help them better understand and evaluate the relevance, reliability and usefulness of the evidence being proffered. The manual is not intended to tell judges what is good science and what is not. Instead, it serves to help judges identify issues on which experts are likely to differ and to guide the inquiry of the court in seeking an informed resolution of the conflict. The core of the manual consists of a series of chapters (reference guides) on various scientific topics, each authored by an expert in that field. The topics have been chosen by an oversight committee because of their complexity and frequency in litigation. Each chapter is intended to provide a general overview of the topic in lay terms, identifying issues that will be useful to judges and others in the legal profession. They are written for a non-technical audience and are not intended as exhaustive presentations of the topic. Rather, the chapters seek to provide judges with the basic information in an area of science, to allow them to have an informed conversation with the experts and attorneys.
Significant changes have taken place in the policy landscape surrounding cannabis legalization, production, and use. During the past 20 years, 25 states and the District of Columbia have legalized cannabis and/or cannabidiol (a component of cannabis) for medical conditions or retail sales at the state level and 4 states have legalized both the medical and recreational use of cannabis. These landmark changes in policy have impacted cannabis use patterns and perceived levels of risk. However, despite this changing landscape, evidence regarding the short- and long-term health effects of cannabis use remains elusive. While a myriad of studies have examined cannabis use in all its various forms, often these research conclusions are not appropriately synthesized, translated for, or communicated to policy makers, health care providers, state health officials, or other stakeholders who have been charged with influencing and enacting policies, procedures, and laws related to cannabis use. Unlike other controlled substances such as alcohol or tobacco, no accepted standards for safe use or appropriate dose are available to help guide individuals as they make choices regarding the issues of if, when, where, and how to use cannabis safely and, in regard to therapeutic uses, effectively. Shifting public sentiment, conflicting and impeded scientific research, and legislative battles have fueled the debate about what, if any, harms or benefits can be attributed to the use of cannabis or its derivatives, and this lack of aggregated knowledge has broad public health implications. The Health Effects of Cannabis and Cannabinoids provides a comprehensive review of scientific evidence related to the health effects and potential therapeutic benefits of cannabis. This report provides a research agendaâ€"outlining gaps in current knowledge and opportunities for providing additional insight into these issuesâ€"that summarizes and prioritizes pressing research needs.
What is required for something to be evidence for a hypothesis? In this fascinating, elegantly written work, distinguished philosopher of science Peter Achinstein explores this question, rejecting typical philosophical and statistical theories of evidence. He claims these theories are much too weak to give scientists what they want--a good reason to believe--and, in some cases, they furnish concepts that mistakenly make all evidential claims a priori. Achinstein introduces four concepts of evidence, defines three of them by reference to "potential" evidence, and characterizes the latter using a novel epistemic interpretation of probability. The resulting theory is then applied to philosophical and historical issues. Solutions are provided to the "grue," "ravens," "lottery," and "old-evidence" paradoxes, and to a series of questions. These include whether explanations or predictions furnish more evidential weight, whether individual hypotheses or entire theoretical systems can receive evidential support, what counts as a scientific discovery, and what sort of evidence is required for it. The historical questions include whether Jean Perrin had non-circular evidence for the existence of molecules, what type of evidence J. J. Thomson offered for the existence of the electron, and whether, as is usually supposed, he really discovered the electron. Achinstein proposes answers in terms of the concepts of evidence introduced. As the premier book in the fabulous new series Oxford Studies in Philosophy of Science, this volume is essential for philosophers of science and historians of science, as well as for statisticians, scientists with philosophical interests, and anyone curious about scientific reasoning.