Good Knowledge Bad Knowledge

What is knowledge? How hard is it for a person to have knowledge? Good Knowledge, Bad Knowledge confronts contemporary philosophical attempts to answer those classic questions, by identifying and arguing against two fundamental epistemological presumptions. Can there be both better and worse knowledge of some fact? Can you improve your knowledge of a particular fact? Can there be especially bad knowledge of a specific fact? Epistemologists routinely answer these questions with a resounding 'No'. But Stephen Hetherington argues that those standard answers are mistaken. The result is a theory of knowledge that is unique in conceiving of knowledge in a non-absolutist way. The theory offers new solutions to many traditional epistemological puzzles, including various kinds of scepticism, the Gettier challenge, and the problem of the criterion. It also offers a fresh way of using G. E. Moore's anti-sceptical gambit, along with reinterpretations of the epistemic roles of fallibility, luck, relevance, and dogmatism. And what can we know about knowledge? The role of intuition in shaping epistemological thought about knowledge is critically examined. Anyone working on epistemology will enjoy this original and challenging work.

Philosophy has long embraced epistemology as one of its central elements. What is knowledge? How do we gain it? Can we gain it? Or do we always deceive ourselves when thinking that we have knowledge? Are we too deeply fallible ever to know something? For centuries, these questions have helped to define and motivate epistemological research. This volume engages strikingly with them, offering some unusual answers. Stephen Hetherington's prominent career within epistemology has been a series of bold, varied and provocative arguments and ideas. Bringing together some elements of his unique body of writing for the first time, this collection features previously published as well as new material displaying and extending some of his highly original approaches to key issues including knowledge, justification, fallibility, scepticism and the Gettier Problem. Advancing our understanding of the systemic nature of Hetherington's thinking, Stephen Hetherington on Epistemology presents his distinctive perspective on some of philosophy's central questions about knowledge – an inviting blend of forensic detail and 'big picture' proposals.

Self-Knowledge introduces philosophical ideas about knowledge and the self. The book takes the form of a personal meditation: it is one person’s attempt to reflect philosophically upon vital aspects of his existence. It shows how profound philosophy can swiftly emerge from intense private reflection upon the details of one’s life and, thus, will help the reader take the first steps toward philosophical self-understanding. Along the way, readers will encounter moments of puzzlement, then clarity, followed by more perplexity and further insights, and then—finally—some philosophical peace of mind.

“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.

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.

New York Times bestseller • Winner of the Los Angeles Times Book Prize • One of the Washington Post's 10 Best Books of the Year “It’s no exaggeration to say that Behave is one of the best nonfiction books I’ve ever read.” —David P. Barash, The Wall Street Journal "It has my vote for science book of the year.” —Parul Sehgal, The New York Times "Immensely readable, often hilarious...Hands-down one of the best books I’ve read in years. I loved it." —Dina Temple-Raston, The Washington Post From the bestselling author of A Primate's Memoir and the forthcoming Determined: A Science of Life Without Free Will comes a landmark, genre-defining examination of human behavior and an answer to the question: Why do we do the things we do? Behave is one of the most dazzling tours d’horizon of the science of human behavior ever attempted. Moving across a range of disciplines, Sapolsky—a neuroscientist and primatologist—uncovers the hidden story of our actions. Undertaking some of our thorniest questions relating to tribalism and xenophobia, hierarchy and competition, and war and peace, Behave is a towering achievement—a majestic synthesis of cutting-edge research and a heroic exploration of why we ultimately do the things we do . . . for good and for ill.

Conventional wisdom has it that the sciences, properly pursued, constitute a pure, value-free method of obtaining knowledge about the natural world. In light of the social and normative dimensions of many scientific debates, Helen Longino finds that general accounts of scientific methodology cannot support this common belief. Focusing on the notion of evidence, the author argues that a methodology powerful enough to account for theories of any scope and depth is incapable of ruling out the influence of social and cultural values in the very structuring of knowledge. The objectivity of scientific inquiry can nevertheless be maintained, she proposes, by understanding scientific inquiry as a social rather than an individual process. Seeking to open a dialogue between methodologists and social critics of the sciences, Longino develops this concept of "contextual empiricism" in an analysis of research programs that have drawn criticism from feminists. Examining theories of human evolution and of prenatal hormonal determination of "gender-role" behavior, of sex differences in cognition, and of sexual orientation, the author shows how assumptions laden with social values affect the description, presentation, and interpretation of data. In particular, Longino argues that research on the hormonal basis of "sex-differentiated behavior" involves assumptions not only about gender relations but also about human action and agency. She concludes with a discussion of the relation between science, values, and ideology, based on the work of Habermas, Foucault, Keller, and Haraway.

A woman glances at a broken clock and comes to believe it is a quarter past seven. Yet, despite the broken clock, it really does happen to be a quarter past seven. Her belief is true, but it isn't knowledge. This is a classic illustration of a central problem in epistemology: determining what knowledge requires in addition to true belief. In this provocative book, Richard Foley finds a new solution to the problem in the observation that whenever someone has a true belief but not knowledge, there is some significant aspect of the situation about which she lacks true beliefs--something important that she doesn't quite "get." This may seem a modest point but, as Foley shows, it has the potential to reorient the theory of knowledge. Whether a true belief counts as knowledge depends on the importance of the information one does or doesn't have. This means that questions of knowledge cannot be separated from questions about human concerns and values. It also means that, contrary to what is often thought, there is no privileged way of coming to know. Knowledge is a mutt. Proper pedigree is not required. What matters is that one doesn't lack important nearby information. Challenging some of the central assumptions of contemporary epistemology, this is an original and important account of knowledge.