Distrust : Big Data, Data-Torturing, and the Assault on Science

Gary Smith

ISBN 10: 0192868454 / ISBN 13: 9780192868459

Published by Oxford University Press Mär 2023, 2023

About this Item

Neuware - 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.

Seller Inventory # 9780192868459

Bibliographic Details

• Title: Distrust : Big Data, Data-Torturing, and the Assault on Science
• Publisher: Oxford University Press Mär 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 0192868454
• ISBN 13: 9780192868459
• Binding: Buch
• Condition: Neu
• Dimensions: 238W x 160H x 30D millimeters 238 millimeters width by 160 millimeters height by 30 millimeters depth
• Weight: 724 grams

About this title

Synopsis

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.

About the Author

Gary Smith, Fletcher Jones Professor of Economics, Pomona College

Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than 100 academic papers and 15 books. He is the author of The AI Delusion (OUP 2018) and co-author with Jay Cordes of The 9 Pitfalls of Data Science (OUP 2019), which won the 2020 Prose Award for Excellence in Popular Science & Popular Mathematics by the Association of American Publishers.