The main features of a new online database of scientific illustrators are portrayed. We list illustrators of scientific publications of all genres (especially atlases, articles, textbooks) who were active between 1450 and 1950, thus excluding illuminators of medieval manuscripts as well as illustrators still active. Currently (Sept. 26, 2012), we already have more than 3,461 entries, with particular emphasis on anatomy, dermatology, botany, zoology, mineralogy, astronomy, and general natural history. Access to the database with its 20 search fields (...) is free and open to all interested users at www.uni-stu ttgart.de/hi/gnt/dsi/. (shrink)

ABSTRACT This essay examines drawings of antiquities in the context of the history of early modern scientific illustration. The role of illustrations in the establishment of archaeology as a discipline is assessed, and the emergence of a graphic style for representing artifacts is shown to be closely connected to the development of scientific illustration in the seventeenth and early eighteenth centuries. The essay argues that the production of conventionalized drawings of antiquities during this period represents a (...) fundamental shift in the approach to ancient material culture, signifying the recognition of objects as evidence. As has been demonstrated in other scientific fields, the creation of a visual system for recording objects was central to the acceptance of artifacts as “data” that could be organized into groups, classified as types, and analyzed to gain knowledge of the past. (shrink)

The history of scientific illustrations is a story that correspond the cultural, economic, political and scientific history of the world. A look into the history of sciences displays that pictures and illustrations had a decisive role for the sciences progressive success and rising societal status from the sixteenth century. The illustrations visualized the unknown to graspable facts. Without the pictures the new discovered continents, the blood circulatory system and the body’s muscles had remained theoretical proclamations. The scientific (...) discoveries became visible and communicated, to a wider audience by its illustrations. The scientific illustrations and maps were intertwined with an epistemic ambition to unveil the true natural order. During the seventeenth century the concept of objectivity was interpreted as a quest for revealing nature’s ideal order, a task only feasible for the brilliant artist to accomplish. The epistemic ambition concurred with the belief that only one true ontological order existed that the scientific knowledge had to uncover. This concept of objectivity was succeeded by the modern concept of objectivity which equated objectivity with impartiality and elimination of the scientist’s subjective bias. The view from “nowhere” is still a valid, ruling definition of objectivity. However, the presence and huge expansion of computational pictures in the sciences as well in everyday life raises the question if a new sense of objectivity is framed. In physics and chemistry the produced pictures intend to be contributions to an ongoing theoretical discussion, about a nature in constant flux, let it be molecules or artificially processed materials in the nanoscale. The traveller designs her own map in advance, mixing the Google earth features with the personal arrangements. For both the scientists and the laymen the modernist objective virtues of detachment, impartiality and disinterestedness have been supplemented by a return of subjective involvements. (shrink)

The main features of a new online database of scientific illustrators are portrayed. We list illustrators of scientific publications of all genres (especially atlases, articles, textbooks) who were active between 1450 and 1950, thus excluding illuminators of medieval manuscripts as well as illustrators still active. Currently (Sept. 26, 2012), we already have more than 3,461 entries, with particular emphasis on anatomy, dermatology, botany, zoology, mineralogy, astronomy, and general natural history. Access to the database with its 20 search fields (...) is free and open to all interested users at www.uni-stu ttgart.de/hi/gnt/dsi/. (shrink)

The aim of this article is to unveil the ways of teaching new philosophical paradigms in Dutch Universities between Seventeenth and Eighteenth Century, by means of an analysis of the uses of illustrations in Cartesian and Newtonian natural-philosophical textbooks. This analysis allows to understand the overall functions of philosophical textbooks, where illustrations act as conceptual means, filling the gap between the premise of a theory and its actual contents; didactic means, aiming to help the reader in understanding scientific models (...) fully explained in texts; promoting or propagandistic instruments, useful to present theories in a fascinating way. Eventually, I argue for a positive correlation of the use of illustrations and the introduction of new philosophies, and for the existence of non-philosophical reasons for such use: as to the propagandistic function of illustrations intended as decorative means. (shrink)

Scientific Testimony concerns the roles of scientific testimony in science and society. The book develops a positive alternative to a tradition famously expressed by the slogan of the Royal Society Nullius in verba ("Take nobody's word for it"). This book argues that intra-scientific testimony—i.e., testimony between collaborating scientists—is not in conflict with the spirit of science or an add-on to scientific practice. On the contrary, intra-scientific testimony is a vital part of science. This is illustrated (...) by articulating epistemic norms of intra-scientific testimony and arguing that they are vital to scientific methodology on a par with other scientific norms governing scientific observation and data analysis. -/- The book also provides an account of public scientific testimony—i.e., scientific testimony to the lay population. This is done by integrating philosophical resources with empirical research on the science of science communication. For example, various misconceptions about science and folk epistemological biases are diagnosed as factors that contribute to science skepticism. This diagnosis provides the basis for developing novel norms for science communication that are sensitive to the psychological and social obstacles to laypersons' uptake of it. Finally, the volume discusses how public scientific testimony is best embedded in society and argues that it is critical for societies that pursue the ideals of deliberative democracy. Scientific Testimony draws on philosophy of science, social epistemology, and empirical research to provide a wide-ranging account of the roles of scientific testimony within scientific practice and within the wider society. (shrink)

"Understanding Scientific Progress constitutes a potentially enormous and revolutionary advancement in philosophy of science. It deserves to be read and studied by everyone with any interest in or connection with physics or the theory of science. Maxwell cites the work of Hume, Kant, J.S. Mill, Ludwig Bolzmann, Pierre Duhem, Einstein, Henri Poincaré, C.S. Peirce, Whitehead, Russell, Carnap, A.J. Ayer, Karl Popper, Thomas Kuhn, Imre Lakatos, Paul Feyerabend, Nelson Goodman, Bas van Fraassen, and numerous others. He lauds Popper for advancing (...) beyond verificationism and Hume’s problem of induction, but faults both Kuhn and Popper for being unable to show that and how their work could lead nearer to the truth." —Dr. LLOYD EBY teaches philosophy at The George Washington University and The Catholic University of America, in Washington, DC "Maxwell's aim-oriented empiricism is in my opinion a very significant contribution to the philosophy of science. I hope that it will be widely discussed and debated." – ALAN SOKAL, Professor of Physics, New York University "Maxwell takes up the philosophical challenge of how natural science makes progress and provides a superb treatment of the problem in terms of the contrast between traditional conceptions and his own scientifically-informed theory—aim-oriented empiricism. This clear and rigorously-argued work deserves the attention of scientists and philosophers alike, especially those who believe that it is the accumulation of knowledge and technology that answers the question."—LEEMON McHENRY, California State University, Northridge "Maxwell has distilled the finest essence of the scientific enterprise. Science is about making the world a better place. Sometimes science loses its way. The future depends on scientists doing the right things for the right reasons. Maxwell's Aim-Oriented Empiricism is a map to put science back on the right track."—TIMOTHY McGETTIGAN, Professor of Sociology, Colorado State University - Pueblo "Maxwell has a great deal to offer with these important ideas, and deserves to be much more widely recognised than he is. Readers with a background in philosophy of science will appreciate the rigour and thoroughness of his argument, while more general readers will find his aim-oriented rationality a promising way forward in terms of a future sustainable and wise social order."—David Lorimer, Paradigm Explorer, 2017/2 "This is a book about the very core problems of the philosophy of science. The idea of replacing Standard Empiricism with Aim-Oriented Empiricism is understood by Maxwell as the key to the solution of these central problems. Maxwell handles his main tool masterfully, producing a fascinating and important reading to his colleagues in the field. However, Nicholas Maxwell is much more than just a philosopher of science. In the closing part of the book he lets the reader know about his deep concern and possible solutions of the biggest problems humanity is facing."—Professor PEETER MŰŰREPP, Tallinn University of Technology, Estonia “For many years, Maxwell has been arguing that fundamental philosophical problems about scientific progress, especially the problem of induction, cannot be solved granted standard empiricism (SE), a doctrine which, he thinks, most scientists and philosophers of science take for granted. A key tenet of SE is that no permanent thesis about the world can be accepted as a part of scientific knowledge independent of evidence. For a number of reasons, Maxwell argues, we need to adopt a rather different conception of science which he calls aim-oriented empiricism (AOE). This holds that we need to construe physics as accepting, as a part of theoretical scientific knowledge, a hierarchy of metaphysical theses about the comprehensibility and knowability of the universe, which become increasingly insubstantial as we go up the hierarchy. In his book “Understanding Scientific Progress: Aim-Oriented Empiricism”, Maxwell gives a concise and excellent illustration of this view and the arguments supporting it… Maxwell’s book is a potentially important contribution to our understanding of scientific progress and philosophy of science more generally. Maybe it is the time for scientists and philosophers to acknowledge that science has to make metaphysical assumptions concerning the knowability and comprehensibility of the universe. Fundamental philosophical problems about scientific progress, which cannot be solved granted SE, may be solved granted AOE.” Professor SHAN GAO, Shanxi University, China . (shrink)

Originally published in 1974. Scientific Knowledge and Sociological Theory centres on the problem of explaining the manifest variety and contrast in the beliefs about nature held in different groups and societies. It maintains that the sociologist should treat all beliefs symmetrically and must investigate and account for allegedly "correct" or "scientific" beliefs just as he would "incorrect" or "unscientific" ones. From this basic position a study of scientific beliefs is constructed. The sociological interest of such beliefs is (...) illustrated and a sociological perspective upon scientific change is developed. (shrink)

In this paper I examine the notion and role of metaphors and illustrations in Maxwell's works in exact science as a pathway into a broader and richer philosophical conception of a scientist and scientific practice. While some of these notions and methods are still at work in current scientific research-from economics and biology to quantum computation and quantum field theory-, here I have chosen to attest to their entrenchment and complexity in actual science by attempting to make some (...) conceptual sense of Maxwell's own usage; this endeavour includes situating Maxwell's conceptions and applications in his own culture of Victorian science and philosophy. I trace Maxwell's notions to the formulation of the problem of understanding, or interpreting, abstract representations such as potential functions and Lagrangian equations. I articulate the solution in terms of abstract-concrete relations, where the concrete, in tune with Victorian British psychology and engineering, includes the muscular as well as the pictorial. This sets the basis for a conception of understanding in terms of unification and concrete modelling, or representation. I examine the relation of illustration to analogies and metaphors on which this account rests. Lastly, I stress and explain the importance of context-dependence, its consequences for realism-instrumentalism debates, and Maxwell's own emphasis on method. (shrink)

Scientific representation is a booming field nowadays within the philosophy of science, with many papers published regularly on the topic every year, and several yearly conferences and workshops held on related topics. Historically, the topic originates in two different strands in 20th-century philosophy of science. One strand begins in the 1950s, with philosophical interest in the nature of scientific theories. As the received or “syntactic” view gave way to a “semantic” or “structural” conception, representation progressively gained the center (...) stage. Yet, there is another, older, strand that links representation to fin de siècle modeling debates, particularly in the emerging Bildtheorie of Boltzmann and Hertz, and to the ensuing discussion among philosophers thereafter. Both strands feed into present-day philosophical work on scientific representation. There are a number of different orthogonal questions that philosophers ask regarding representation. One set of questions concerns the nature of the representational relation between theories or models, on the one hand, and the real-world systems they purportedly represent. Such questions lie at the more metaphysical and abstract end of the spectrum—and they are often addressed with the abstract tools of the analytical metaphysician. They constitute what we may refer to as the “analytical inquiry” into representation. On the other hand there are questions regarding the use that scientists put some representations to in practice—these are questions that are best addressed by means of some of the favorite tools of the philosopher of science, including descriptive analysis, illustration by means of case studies, induction, exemplification, inference from practice, etc., and are best referred to as the “practical inquiry” into representation. The notion of representation invoked in such inquiries may be “deflationary” or “substantive”—depending on whether it construes representation as a primitive notion, or as susceptible to further reduction or analysis in terms of something else. (shrink)

First, I argue that scientific progress is possible in the absence of increasing verisimilitude in science’s theories. Second, I argue that increasing theoretical verisimilitude is not the central, or primary, dimension of scientific progress. Third, I defend my previous argument that unjustified changes in scientific belief may be progressive. Fourth, I illustrate how false beliefs can promote scientific progress in ways that cannot be explicated by appeal to verisimilitude.

When scientist investigate why things happen, they aim at giving an explanation. But what does a scientific explanation look like? In the first chapter (Theories of Scientific Explanation) of this book, the milestones in the debate on how to characterize scientific explanations are exposed. The second chapter (How to Study Scientific Explanation?) scrutinizes the working-method of three important philosophers of explanation, Carl Hempel, Philip Kitcher and Wesley Salmon and shows what went wrong. Next, it is the (...) responsibility of current philosophers of explanation to go on where Hempel, Kitcher and Salmon failed. However, we should go on in a clever way. We call this clever way the pragmatic approach to scientific explanation and clarify briefly what this approach consists in. The third chapter (A Toolbox for Describing and Evaluating Explanatory Practices) elaborates the pragmatic approach by presenting a toolbox for analysing scientific explanation. In the last chapter (Examples of Descriptions and Evaluations of Explanatory Practices) the approach is illustrated with real-life examples of scientists aiming at explaining. (shrink)

In this book K. Brad Wray provides a comprehensive survey of the arguments against scientific realism. In addition to presenting logical considerations that undermine the realists' inferences to the likely truth or approximate truth of our theories, he provides a thorough assessment of the evidence from the history of science. He also examines grounds for a defence of anti-realism, including an anti-realist explanation for the success of our current theories, an account of why false theories can be empirically successful, (...) and an explanation for why we should expect radical changes of theory in the future. His arguments are supported and illustrated by cases from the history of science, including a sustained study of the Copernican Revolution, and a study of the revolution in early twentieth century chemistry, when chemists came to classify elements by their atomic number rather than by their atomic weight. (shrink)

Scientific models invariably involve some degree of idealization, abstraction, or nationalization of their target system. Nonetheless, I argue that there are circumstances under which such false models can offer genuine scientific explanations. After reviewing three different proposals in the literature for how models can explain, I shall introduce a more general account of what I call model explanations, which specify the conditions under which models can be counted as explanatory. I shall illustrate this new framework by applying it (...) to the case of Bohr's model of the atom, and conclude by drawing some distinctions between phenomenological models, explanatory models, and fictional models. (shrink)

Whereas much of the literature in the social epistemology of scientific knowledge has focused either on scientific communities or research groups, we examine the epistemic significance of scientific/intellectual movements (SIMs). We argue that certain types of SIMs can play an important epistemic role in science: they can remedy epistemic injus- tices in scientific practices. SIMs can counteract epistemic injustices effectively because many forms of epistemic injustice require structural and not merely individual remedies. To illustrate our argument, (...) we discuss the case of indigenous studies. (shrink)

This paper argues that scientific studies distinguish themselves from other studies by a combination of their processes, their (knowledge) elements and the roles of these elements. This is supported by constructing a process model. An illustrative example based on Newtonian mechanics shows how scientific knowledge is structured according to the process model. To distinguish scientific studies from research and scientific research, two additional process models are built for such processes. We apply these process models: (1) to (...) argue that scientific progress should emphasize both the process of change and the content of change; (2) to chart the major stages of scientific study development; and (3) to define “science”. (shrink)

In his late years, Thomas Kuhn became interested in the process of scientific specialization, which does not seem to possess the destructive element that is characteristic of scientific revolutions. It therefore makes sense to investigate whether and how Kuhn’s insights about specialization are consistent with, and actually fit, his model of scientific progress through revolutions. In this paper, I argue that the transition toward a new specialty corresponds to a revolutionary change for the group of scientists involved (...) in such a transition. I will clarify the role of the scientific community in revolutionary changes and characterize the incommensurability across specialties as possessing both semantic and methodological aspects. The discussion of the discovery of the structure of DNA will serve both as an illustration of my main argument and as reply to one criticism raised against Kuhn—namely, that his model cannot capture cases of revolutionary yet non-disruptive episodes of scientific progress. Revisiting Kuhn’s ideas on specialization will shed new light on some often overlooked features of scientific change. (shrink)

Many people assume that the claims of scientists are objective truths. But historians, sociologists, and philosophers of science have long argued that scientific claims reflect the particular historical, cultural, and social context in which those claims were made. The nature of scientific knowledge is not absolute because it is influenced by the practice and perspective of human agents. Scientific Perspectivism argues that the acts of observing and theorizing are both perspectival, and this nature makes scientific knowledge (...) contingent, as Thomas Kuhn theorized forty years ago. Using the example of color vision in humans to illustrate how his theory of “perspectivism” works, Ronald N. Giere argues that colors do not actually exist in objects; rather, color is the result of an interaction between aspects of the world and the human visual system. Giere extends this argument into a general interpretation of human perception and, more controversially, to scientific observation, conjecturing that the output of scientific instruments is perspectival. Furthermore, complex scientific principles—such as Maxwell’s equations describing the behavior of both the electric and magnetic fields—make no claims about the world, but models based on those principles can be used to make claims about specific aspects of the world. Offering a solution to the most contentious debate in the philosophy of science over the past thirty years, Scientific Perspectivism will be of interest to anyone involved in the study of science. (shrink)

Allegations of scientific misconduct against graduate students appear to have unique attributes in the detection, investigation, processes used and sanctions imposed vis-à-vis other populations against which misconduct is alleged and found. An examination of the cases closed by the Department of Health and Human Services’ Office of Research Integrity and the National Science Foundation reveals that most of the allegations made against graduate and medical students are for falsification and fabrication. Further, additional processes are used in these cases, e.g., (...) student judicial processes, more students are “set up” and more students admit misconduct. Finally, the sanctions imposed when a finding is made typically involve separation from the institution and the federal sanction ranges from none to debarment. Drawing upon the teachings and circumstances of cases involving graduate student peers is a good vehicle for illustrating the concepts and perils of misconduct to graduate students. (shrink)

Using the Schwarzschild calculation of the Relativistic bending of starlight near the sun as an illustration, it is shown that the relationship between theory and data requires a hierarchy of structures of different logical type. An essential feature of this hierarchy is the use of idealizations and approximate truths. On the basis of a counterfactual analysis of these concepts, it is shown that confirmation is possible even though statistical measures of goodness of fit are not satisfied. The consequences of (...) this view of confirmation and hierarchical structure for scientific realism are then considered. (shrink)

Ground is all the rage in contemporary metaphysics. But what is its nature? Some metaphysicians defend what we could call, following Skiles and Trogdon (2021), the inheritance view: it is because constitutive forms of metaphysical explanation are such-and-such that we should believe that ground is so-and-so. However, many putative instances of inheritance are not primarily motivated by scientific considerations. This limitation is harmless if one thinks that ground and science are best kept apart. Contrary to this view, we believe (...) that ground is a highly serviceable tool for investigating metaphysical areas of science. In this paper, we defend a naturalistic version of the inheritance view which takes constitutive scientific explanation as a better guide to ground. After illustrating the approach and its merits, we discuss some implications of the emerging scientific conception for the theory of ground at large. (shrink)

Although science was once seen as the product of individual great men working in isolation, we now realize that, like any other creative activity, science is a highly social enterprise, influenced in subtle as well as obvious ways by the wider culture and values of its time. Scientific Knowledge is the first introduction to social studies of scientific knowledge. The authors, all noted for their contributions to science studies, have organized this book so that each chapter examines a (...) key step in the process of doing science. Using case studies from cognitive science, physics, and biology to illustrate their descriptions and applications of the social study of science, they show how this approach provides a crucial perspective on how science is actually done. Scientific Knowledge will be of interest not only to those engaged in science studies, but also to anyone interested in the practice of science. (shrink)

I’ve been both fascinated and distressed by the arguments raging over how best to respond to the covid-19 pandemic. In particular, I’ve been struck by the way people claim scientific authority for their confident assurances of what needs to be done. And I’m especially intrigued by the scorn they often lavish on those who hold differing views on what science is telling us. The heat generated by the resulting debates is strikingly similar to the heat generated by debates over (...) the science connected with human-caused climate change. And in both cases, the disputants too often presuppose indefensibly naïve views about scientific authority and certitude, apparently unaware that even the allegedly most obvious logical truths lack the certainty attributed to scientific authority in these debates. As a rule, I dislike re-circulating my Editorials, but I think it’s time to resurrect one (modestly tweaked) from a few years ago, addressing precisely this issue (Vol. 31, No. 3, pp. 379–386, 2017). …………………………………… “Man is a rational animal who always loses his temper when he is called upon to act in accordance with the dictates of reason.” --Oscar Wilde I’ve often noticed how debates within the SSE community sometimes parallel debates in the political arena, perhaps especially with respect to the passion they elicit and the intolerance and condescension sometimes lavished on members of the “opposition.” Occasionally, of course, the debates in the SSE are nearly indistinguishable from those in the political arena—say, over the evidence for human-caused climate change. But what I find most striking is how the passion, intolerance, etc.—perhaps most often displayed by those defending whatever the “received” view happens to be—betrays either a surprising ignorance or else a seemingly convenient lapse of memory, one that probably wouldn’t appear in less emotionally-charged contexts. What impassioned partisans tend to ignore or forget concerns (a) the tentative nature of both scientific pronouncements and knowledge claims generally (including matters ostensibly much more secure than those under debate), as well as (b) the extensive network of assumptions on which every knowledge claim rests. So I’d like to offer what I hope will be a perspective-enhancer, concerning how even our allegedly most secure and fundamental pieces of a priori knowledge are themselves open to reasonable debate. A widespread, but naïve, view of logic is that no rational person could doubt its elementary laws. But that bit of popular “wisdom” is demonstrably false. And if that’s the case, then so much the worse for the degree of certitude we can expect in more controversial arenas. Let me illustrate with a few examples.[1] [1] I’m indebted to Aune, 1970 for much of what follows. (shrink)

Summary Colourful plant images are often taken as the icon of natural history illustration. However, so far, little attention has been paid to the question of how this beautiful colouring was achieved. At a case study of the eighteenth-century Nuremberg doctor and botanist, Christoph Jacob Trew, the process of how illustrations were hand-coloured, who was involved in this work, and how the colouring was supervised and evaluated is reconstructed, mostly based on Trew's correspondence with the engraver and publisher of (...) his books, Johann Jacob Haid in Augsburg. Furthermore, the question of standardizing colours, their uses and their recipes is discussed at two examples of the same time period: the colour charts of the Bauer brothers, arguably the most renowned botanical draughtsmen of the period, and the colour tables by the Regensburg naturalist, Jacob Christian Schaeffer. Hand-colouring botanical illustrations, it is argued, was far from a straightforward task but confronted botanists and their employees with a plethora of practical and methodological problems, to which different solutions were developed in the course of time. Analysing these problems and solutions reveals some new and interesting aspects of the practices of eighteenth-century botany and of the production of scientific illustrations in general. (shrink)

The aim of the paper is to clarify the concept of scientific ignorance: what is it, what are its sources, and when is it epistemically detrimental to science. While some sources of scientific ignorance come inevitably with the process of knowledge acquisition, others are deliberately created. The former includes selection processes, inductive reasoning, and cognitive biases, while the latter includes scientific fraud. Another important source of scientific ignorance appears when scientists introduce methodological biases through micro-decisions in (...) the research process. I provide three examples from medical research to illustrate this point. I argue further that methodological biases present a challenge, in so far as they are no easily classifiable as deliberate: they might also be the result of entrenched research practices within a scientific community. Strategies to identify and prevent methodological biases in research should take into account such difference. (shrink)

There are benefits to organizing an introductory ethics course around the ethical, social, and political questions related to climate change. One topic such a course may fruitfully explore is the issue of whether, when, and how climate scientists should advocate for climate policy. When is scientific advocacy a failure of scientific objectivity, and what are the ethical consequences of scientists attempting to influence policy objectives? This paper lays out a method for using illustrative case studies that helps students (...) understand, first, how scientists interact with policy-makers and the public and, second, the reasons why such activity can—in many actual cases—be seen as ethically unproblematic. (shrink)

Scientific models are often said to be more or less general depending on how many cases they cover. In this paper we argue that the cardinality of cases is insufficient as a metric of generality, and we present a novel account based on measure theory. This account overcomes several problems with the cardinality approach, and additionally provides some insight into the nature of assessments of generality. Specifically, measure theory affords a natural and quantitative way of describing local spaces of (...) possibility. The generality of models can be understood as the measure of possibilities to which the models apply. In order to illustrate our view, we consider the example of structural genomics, the ongoing project of building three-dimensional models of biological macromolecules like proteins. Using measure theory, we interpret the practice of homology modeling, where such models are understood to apply widely but imperfectly to the space of possible proteins. (shrink)

An argument that what makes science distinctive is its emphasis on evidence and scientists' willingness to change theories on the basis of new evidence. Attacks on science have become commonplace. Claims that climate change isn't settled science, that evolution is “only a theory,” and that scientists are conspiring to keep the truth about vaccines from the public are staples of some politicians' rhetorical repertoire. Defenders of science often point to its discoveries (penicillin! relativity!) without explaining exactly why scientific claims (...) are superior. In this book, Lee McIntyre argues that what distinguishes science from its rivals is what he calls “the scientific attitude”—caring about evidence and being willing to change theories on the basis of new evidence. The history of science is littered with theories that were scientific but turned out to be wrong; the scientific attitude reveals why even a failed theory can help us to understand what is special about science. McIntyre offers examples that illustrate both scientific success (a reduction in childbed fever in the nineteenth century) and failure (the flawed “discovery” of cold fusion in the twentieth century). He describes the transformation of medicine from a practice based largely on hunches into a science based on evidence; considers scientific fraud; examines the positions of ideology-driven denialists, pseudoscientists, and “skeptics” who reject scientific findings; and argues that social science, no less than natural science, should embrace the scientific attitude. McIntyre argues that the scientific attitude—the grounding of science in evidence—offers a uniquely powerful tool in the defense of science. (shrink)