Author Description
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.
Menrva's Summary
THE THESIS
This book investigates the growing credibility crisis in science, arguing that the very tools and methodologies developed by scientists—specifically Big Data and statistical analysis—are being weaponized to undermine scientific integrity. Gary D. Smith, a professor of economics, utilizes his expertise in statistics to demonstrate how the pressure for empirical significance often leads to 'data-torturing' and confirmation bias. He posits that the intersection of technological advancement and the demand for rapid results has created a fertile environment for disinformation and public skepticism.
THE SCOPE MAP
What You Will Find
- Analysis of how Big Data and powerful computing contribute to statistical manipulation.
- Examination of the psychological and systemic pressures that encourage data-torturing.
- Case studies illustrating the spread of scientific disinformation and conspiracy theories.
- Constructive proposals for reforming scientific practices to restore public trust.
Scope Limits
- The text does not provide a comprehensive history of the scientific method.
- It does not offer a technical manual for data science programming or software.
THE AUTHORITY PERSPECTIVE
Experts in the field of statistics and science communication recognize this work as a critical examination of modern research practices. Readers frequently note the accessible prose style, which makes complex statistical concepts understandable for a general audience interested in the integrity of scientific inquiry.
Page Count:
337
Publication Date:
2023-01-01
ISBN-10:
0192694715
ISBN-13:
9780192694713
Science
Non-Fiction
History
Data Science
Sociology
Earth Sciences
Statistics
Philosophy of