The Credibility Crisis in Science (Tweaksters, Fraudsters, and the Manipulation of Empirical Results)

ISBN: 9780262051279
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SKU:
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Product Details

Author:
Thomas Plümper, Eric Neumayer
Format:
Paperback
Pages:
280
Publisher:
MIT Press (March 17, 2026)
Imprint:
The MIT Press
Release Date:
March 17, 2026
Language:
English
Audience:
General/trade
ISBN-13:
9780262051279
ISBN-10:
0262051273
Weight:
13oz
Dimensions:
6" x 9"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20250821T000417_152936876-20250821.xml
Folder:
RandomHouse
List Price:
$35.00
Country of Origin:
United States
Pub Discount:
65
Case Pack:
24
As low as:
$17.50
Shipping Origin:
Crawfordsville, IN
Publisher Identifier:
P-RH
Discount Code:
A

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Overview

A novel perspective on scientific fraud—how undisclosed “tweaks” to research designs and model specifications fuel the credibility crisis in science.

In The Credibility Crisis in Science, leading social scientists Thomas Plümper and Eric Neumayer argue that the most important fraudulent strategy is crucially underappreciated. While data fabrication and manipulation are widely recognized as fraudulent, “tweaks”—the intentional selection of research designs and model specifications based on the results they give—are not.
The authors of this book contend that the term “scientific fraud” must include tweaks. Tweakers, like other fraudsters, deceive readers by concealing their manipulation of empirical results and they do so to further their own interests.

The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe.

Plümper and Neumayer argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. The authors put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified, and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.

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