Why Trust Science?; Naomi Oreskes, Stephen Macedo; 2019
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Why Trust Science?

av Naomi Oreskes, Stephen Macedo
Why the social character of scientific knowledge makes it trustworthy

Do doctors really know what they are talking about when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when our own politicians don't? In this landmark book, Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength—and the greatest reason we can trust it.

Tracing the history and philosophy of science from the late nineteenth century to today, Oreskes explains that, contrary to popular belief, there is no single scientific method. Rather, the trustworthiness of scientific claims derives from the social process by which they are rigorously vetted. This process is not perfect—nothing ever is when humans are involved—but she draws vital lessons from cases where scientists got it wrong. Oreskes shows how consensus is a crucial indicator of when a scientific matter has been settled, and when the knowledge produced is likely to be trustworthy.

Based on the Tanner Lectures on Human Values at Princeton University, this timely and provocative book features critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
Why the social character of scientific knowledge makes it trustworthy

Do doctors really know what they are talking about when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when our own politicians don't? In this landmark book, Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength—and the greatest reason we can trust it.

Tracing the history and philosophy of science from the late nineteenth century to today, Oreskes explains that, contrary to popular belief, there is no single scientific method. Rather, the trustworthiness of scientific claims derives from the social process by which they are rigorously vetted. This process is not perfect—nothing ever is when humans are involved—but she draws vital lessons from cases where scientists got it wrong. Oreskes shows how consensus is a crucial indicator of when a scientific matter has been settled, and when the knowledge produced is likely to be trustworthy.

Based on the Tanner Lectures on Human Values at Princeton University, this timely and provocative book features critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
Utgiven: 2019
ISBN: 9780691179001
Förlag: Princeton University Press
Format: Inbunden
Språk: Engelska
Sidor: 376 st
Why the social character of scientific knowledge makes it trustworthy

Do doctors really know what they are talking about when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when our own politicians don't? In this landmark book, Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength—and the greatest reason we can trust it.

Tracing the history and philosophy of science from the late nineteenth century to today, Oreskes explains that, contrary to popular belief, there is no single scientific method. Rather, the trustworthiness of scientific claims derives from the social process by which they are rigorously vetted. This process is not perfect—nothing ever is when humans are involved—but she draws vital lessons from cases where scientists got it wrong. Oreskes shows how consensus is a crucial indicator of when a scientific matter has been settled, and when the knowledge produced is likely to be trustworthy.

Based on the Tanner Lectures on Human Values at Princeton University, this timely and provocative book features critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
Why the social character of scientific knowledge makes it trustworthy

Do doctors really know what they are talking about when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when our own politicians don't? In this landmark book, Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength—and the greatest reason we can trust it.

Tracing the history and philosophy of science from the late nineteenth century to today, Oreskes explains that, contrary to popular belief, there is no single scientific method. Rather, the trustworthiness of scientific claims derives from the social process by which they are rigorously vetted. This process is not perfect—nothing ever is when humans are involved—but she draws vital lessons from cases where scientists got it wrong. Oreskes shows how consensus is a crucial indicator of when a scientific matter has been settled, and when the knowledge produced is likely to be trustworthy.

Based on the Tanner Lectures on Human Values at Princeton University, this timely and provocative book features critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
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272 kr286 kr
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