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Distrust: Big Data, Data-Torturing
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- Objectstaat
- Heel goed
- Opmerkingen van verkoper
- “Used - Very Good”
- Book Title
- Distrust: Big Data, Data-Torturing, and the Assault on Science
- ISBN
- 9780192868459
- Subject Area
- Social Science, Science
- Publication Name
- Distrust : Big Data, Data-Torturing, and the Assault on Science
- Publisher
- Oxford University Press, Incorporated
- Item Length
- 9.5 in
- Subject
- Sociology / General, General
- Publication Year
- 2023
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.9 in
- Item Weight
- 25.1 Oz
- Item Width
- 6.6 in
- Number of Pages
- 336 Pages
Over dit product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0192868454
ISBN-13
9780192868459
eBay Product ID (ePID)
2328288997
Product Key Features
Number of Pages
336 Pages
Language
English
Publication Name
Distrust : Big Data, Data-Torturing, and the Assault on Science
Publication Year
2023
Subject
Sociology / General, General
Type
Textbook
Subject Area
Social Science, Science
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
25.1 Oz
Item Length
9.5 in
Item Width
6.6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2022-940620
Dewey Edition
23
Reviews
"Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again." -- Carl T. Bergstrom, Professor of Biology, University of Washington. Author of Calling Bullshit: The Art of Skepticism in a Digital World "Any fan of Carl Sagan's The Demon Haunted World will love this book. Like Sagan, Smith discusses the challenges to human progress that result from a lack of critical thinking skills, and he does so with a Sagan-esque keen eye and eloquent voice. Smith also makes clear how the threats to sound judgment and effective decisions are more formidable than those of Sagan's day, as faulty thinking is now aided and abetted by an internet-fuelled distrust of science, viral misinformation, and venomous conspiracy theories. The wisdom in this book is desperately needed." -- Tom Gilovich, Irene Blecker Rosenfeld Professor of Psychology, Cornell University. Author of The Wisest One in the Room "It turns out that, unlike the mythical hero, AI has two Achilles' heels. Not only are the technologies not intelligent, more perniciously, neither are too much of the statistics and data use on which AI and big data rely. Gary Smith provides a brilliantly executed counter against pseudo-science and the accumulating garbage we misleadingly call information, including timely and important warnings and ways forward for policy-makers, practitioners, academics, and citizens alike." -- Leslie Willcocks, Professor Emeritus, London School of Economics and Political Science "An immensely readable look at why we need science more than ever, but also why and how science needs to clean up its act. Recommended for anyone who occasionally wonders whether that 'outspoken' family member on Facebook might just have a point." -- Nick Brown, PhD, scientific integrity researcher "Smith marvellously illustrates the evolution of disinformation. He richly demonstrates how blind faith in technology enables more misrepresentations of the truth. Distrust articulates a humbling view of how we should think critically about new findings from hyped technology trends." -- Karl Meyer, Managing Director, Digital Alpha Advisors LLC and former Partner at Kleiner Perkins, "Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again." -- Carl T. Bergstrom, Professor of Biology, University of Washington. Author of Calling Bullshit: The Art of Skepticism in a Digital World"Any fan of Carl Sagan's The Demon Haunted World will love this book. Like Sagan, Smith discusses the challenges to human progress that result from a lack of critical thinking skills, and he does so with a Sagan-esque keen eye and eloquent voice. Smith also makes clear how the threats to sound judgment and effective decisions are more formidable than those of Sagan's day, as faulty thinking is now aided and abetted by an internet-fuelled distrust of science, viral misinformation, and venomous conspiracy theories. The wisdom in this book is desperately needed." -- Tom Gilovich, Irene Blecker Rosenfeld Professor of Psychology, Cornell University. Author of The Wisest One in the Room"It turns out that, unlike the mythical hero, AI has two Achilles' heels. Not only are the technologies not intelligent, more perniciously, neither are too much of the statistics and data use on which AI and big data rely. Gary Smith provides a brilliantly executed counter against pseudo-science and the accumulating garbage we misleadingly call information, including timely and important warnings and ways forward for policy-makers, practitioners, academics, and citizens alike." -- Leslie Willcocks, Professor Emeritus, London School of Economics and Political Science"An immensely readable look at why we need science more than ever, but also why and how science needs to clean up its act. Recommended for anyone who occasionally wonders whether that 'outspoken' family member on Facebook might just have a point." -- Nick Brown, PhD, scientific integrity researcher"Smith marvellously illustrates the evolution of disinformation. He richly demonstrates how blind faith in technology enables more misrepresentations of the truth. Distrust articulates a humbling view of how we should think critically about new findings from hyped technology trends." -- Karl Meyer, Managing Director, Digital Alpha Advisors LLC and former Partner at Kleiner Perkins"The lessons of Distrust are very much needed." -- Washington Post"Distrust is a veritable page-turner, and I finished it in a few sittings. On a higher level, it is a call for common sense, for scepticism, for methodological rigour and for epistemic modesty. I suspect most scientists will love it." -- Nature"Meta Malcolm Gladwell fans will likely enjoy." -- Library Journal"The book is great fun. It's lovely to watch Smith demolish the fraud in every medium." -- The Straight Dope"Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community." -- Campaign for the American Reader, "Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again." -- Carl T. Bergstrom, Professor of Biology, University of Washington. Author of Calling Bullshit: The Art of Skepticism in a Digital World"Any fan of Carl Sagan's The Demon Haunted World will love this book. Like Sagan, Smith discusses the challenges to human progress that result from a lack of critical thinking skills, and he does so with a Sagan-esque keen eye and eloquent voice. Smith also makes clear how the threats to sound judgment and effective decisions are more formidable than those of Sagan's day, as faulty thinking is now aided and abetted by an internet-fuelled distrust of science, viral misinformation, and venomous conspiracy theories. The wisdom in this book is desperately needed." -- Tom Gilovich, Irene Blecker Rosenfeld Professor of Psychology, Cornell University. Author of The Wisest One in the Room"It turns out that, unlike the mythical hero, AI has two Achilles' heels. Not only are the technologies not intelligent, more perniciously, neither are too much of the statistics and data use on which AI and big data rely. Gary Smith provides a brilliantly executed counter against pseudo-science and the accumulating garbage we misleadingly call information, including timely and important warnings and ways forward for policy-makers, practitioners, academics, and citizens alike." -- Leslie Willcocks, Professor Emeritus, London School of Economics and Political Science"An immensely readable look at why we need science more than ever, but also why and how science needs to clean up its act. Recommended for anyone who occasionally wonders whether that 'outspoken' family member on Facebook might just have a point." -- Nick Brown, PhD, scientific integrity researcher"Smith marvellously illustrates the evolution of disinformation. He richly demonstrates how blind faith in technology enables more misrepresentations of the truth. Distrust articulates a humbling view of how we should think critically about new findings from hyped technology trends." -- Karl Meyer, Managing Director, Digital Alpha Advisors LLC and former Partner at Kleiner Perkins"The lessons of Distrust are very much needed." -- Washington Post"Distrust is a veritable page-turner, and I finished it in a few sittings. On a higher level, it is a call for common sense, for scepticism, for methodological rigour and for epistemic modesty. I suspect most scientists will love it." -- Nature"Meta Malcolm Gladwell fans will likely enjoy." -- Library Journal"The book is great fun. It's lovely to watch Smith demolish the fraud in every medium." -- The Straight Dope"Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community." -- Campaign for the American Reader"Smith's Distrust is a strikingly readable exploration of several interrelated threats to the credibility of science...The book can serve as both a guide to helping readers better spot bogus scientifc claims and a warning as to the individual and institutional failings that threaten the credibility of science." -- Keith Raymond Harris, Metascience"Distrust: Big Data, Data-Torturing, and the Assault on Science is a highly recommended book for anyone interested about current, and future, issues related to what science is and how it is done." -- K. Kampourakis, Science & Education, "Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again." -- Carl T. Bergstrom, Professor of Biology, University of Washington. Author of Calling Bullshit: The Art of Skepticism in a Digital World "Any fan of Carl Sagan's The Demon Haunted World will love this book. Like Sagan, Smith discusses the challenges to human progress that result from a lack of critical thinking skills, and he does so with a Sagan-esque keen eye and eloquent voice. Smith also makes clear how the threats to sound judgment and effective decisions are more formidable than those of Sagan's day, as faulty thinking is now aided and abetted by an internet-fuelled distrust of science, viral misinformation, and venomous conspiracy theories. The wisdom in this book is desperately needed." -- Tom Gilovich, Irene Blecker Rosenfeld Professor of Psychology, Cornell University. Author of The Wisest One in the Room "It turns out that, unlike the mythical hero, AI has two Achilles' heels. Not only are the technologies not intelligent, more perniciously, neither are too much of the statistics and data use on which AI and big data rely. Gary Smith provides a brilliantly executed counter against pseudo-science and the accumulating garbage we misleadingly call information, including timely and important warnings and ways forward for policy-makers, practitioners, academics, and citizens alike." -- Leslie Willcocks, Professor Emeritus, London School of Economics and Political Science "An immensely readable look at why we need science more than ever, but also why and how science needs to clean up its act. Recommended for anyone who occasionally wonders whether that 'outspoken' family member on Facebook might just have a point." -- Nick Brown, PhD, scientific integrity researcher "Smith marvellously illustrates the evolution of disinformation. He richly demonstrates how blind faith in technology enables more misrepresentations of the truth. Distrust articulates a humbling view of how we should think critically about new findings from hyped technology trends." -- Karl Meyer, Managing Director, Digital Alpha Advisors LLC and former Partner at Kleiner Perkins "The lessons of Distrust are very much needed." -- Washington Post "Distrust is a veritable page-turner, and I finished it in a few sittings. On a higher level, it is a call for common sense, for scepticism, for methodological rigour and for epistemic modesty. I suspect most scientists will love it." -- Nature "Meta Malcolm Gladwell fans will likely enjoy." -- Library Journal "The book is great fun. It's lovely to watch Smith demolish the fraud in every medium." -- The Straight Dope "Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community." -- Campaign for the American Reader, "Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again." -- Carl T. Bergstrom, Professor of Biology, University of Washington. Author of Calling Bullshit: The Art of Skepticism in a Digital World"Any fan of Carl Sagan's The Demon Haunted World will love this book. Like Sagan, Smith discusses the challenges to human progress that result from a lack of critical thinking skills, and he does so with a Sagan-esque keen eye and eloquent voice. Smith also makes clear how the threats to sound judgment and effective decisions are more formidable than those of Sagan's day, as faulty thinking is now aided and abetted by an internet-fuelled distrust of science, viral misinformation, and venomous conspiracy theories. The wisdom in this book is desperately needed." -- Tom Gilovich, Irene Blecker Rosenfeld Professor of Psychology, Cornell University. Author of The Wisest One in the Room"It turns out that, unlike the mythical hero, AI has two Achilles' heels. Not only are the technologies not intelligent, more perniciously, neither are too much of the statistics and data use on which AI and big data rely. Gary Smith provides a brilliantly executed counter against pseudo-science and the accumulating garbage we misleadingly call information, including timely and important warnings and ways forward for policy-makers, practitioners, academics, and citizens alike." -- Leslie Willcocks, Professor Emeritus, London School of Economics and Political Science"An immensely readable look at why we need science more than ever, but also why and how science needs to clean up its act. Recommended for anyone who occasionally wonders whether that 'outspoken' family member on Facebook might just have a point." -- Nick Brown, PhD, scientific integrity researcher"Smith marvellously illustrates the evolution of disinformation. He richly demonstrates how blind faith in technology enables more misrepresentations of the truth. Distrust articulates a humbling view of how we should think critically about new findings from hyped technology trends." -- Karl Meyer, Managing Director, Digital Alpha Advisors LLC and former Partner at Kleiner Perkins"The lessons of Distrust are very much needed." -- Washington Post"Distrust is a veritable page-turner, and I finished it in a few sittings. On a higher level, it is a call for common sense, for scepticism, for methodological rigour and for epistemic modesty. I suspect most scientists will love it." -- Nature"Meta Malcolm Gladwell fans will likely enjoy." -- Library Journal"The book is great fun. It's lovely to watch Smith demolish the fraud in every medium." -- The Straight Dope"Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community." -- Campaign for the American Reader"Smith's Distrust is a strikingly readable exploration of several interrelated threats to the credibility of science...The book can serve as both a guide to helping readers better spot bogus scientifc claims and a warning as to the individual and institutional failings that threaten the credibility of science." -- Keith Raymond Harris, Metascience, Gary Smith has done it again. Distrust is a wild ride that derails the Big Data hype train with force, style, and above all sardonic humour. Smith is a master of illustrating by example-examples that are fresh, unexpected, at times shocking, and at times hilarious. Come along on Smith's tour of statistical snake-oil and you'll never look at AI or data science the same way again.
Illustrated
Yes
Dewey Decimal
303.483
Table Of Content
Introduction: Disinformation, Data Torturing, and Data MiningPart I - Disinformation1. The Paranormal Is Normal2. Flying Saucers and Space Tourists3. Elite Conspiracies4. A Post-Fact WorldPart II - Data Torturing5. Squeezing Blood from Rocks6. Most Medicines Disappoint7. Provocative, but WrongPart III - Data Mining8. Looking for Needles in Haystacks9. Beat the Market10. Too Much DataPart IV - The Real Promise and Peril of AI11. Overpromising and Underdelivering12. Artificial UnintelligencePart V - The Crisis13. Irreproducible Research14. The Replication Crisis15. Restoring the Luster of Science
Synopsis
This book argues that our growing distrust of science is fuelled by tools scientists themselves created, as technological advances and developments in data analysis have led to disinformation, data torturing, and data mining. Smith examines these issues and offers solutions for restoring the credibility of the scientific community., There is no doubt science is currently suffering from a credibility crisis. This thought-provoking book argues that, ironically, science's credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers.Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community., There is no doubt science is currently suffering from a credibility crisis. This thought-provoking book argues that, ironically, science's credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers. Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community.
LC Classification Number
Q175.5
ebay_catalog_id
4
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