Truth Addict: How to Ask Questions, Test Ideas, and Get Answers in a Data-Driven World

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Univ of California Press, Aug 4, 2026 - Education - 344 pages

Foreword by Charles Wheelan

What makes some evidence strong, some evidence weak, and some evidence total nonsense? Truth Addict is your guide to answers.

Individuals, policymakers, and businesses across the globe want to make decisions based on evidence. But not all evidence is created equal.

Truth Addict is the layperson's guide to data, truth, and the gap between them. Whether it's collected through laboratory experiments or public surveys, market research or archival records, data has a story to tell us—but only if we can read it. Drawing on engaging examples, John V. Kane details the logic of gathering and analyzing data as a means of getting us closer to the truth, even if the truth hurts.

Developing research questions. Defining variables. Choosing metrics. Testing hypotheses. Quantifying relationships. Ruling out chance. Considering alternative explanations. Knowing not just that "correlation does not equal causation," but also how to tell the difference. These are key steps along Kane's "Road to Evidence," a journey that begins with curiosity and ends at objective knowledge. You don't have to be a math whiz to study our social world—Truth Addict provides every reader tools to uncover the reality within the numbers.

 

Contents

A PROBLEM OF MOTIVATION
11
IT ALL BEGINS WITH A QUESTION
37
First Formulate Then Fixate
55
LEARNING THE LINGO LOVING THE LOGIC
63
Out of the Sky and into the Spreadsheet
100
Comparison the Giver of Knowledge
121
FINDING MEANING IN THE FINDINGS
129
Go Figures
155
Wrestling with Randomness
173
Sizing Up the Results
193
DATA DATA EVERYWHERE NOW LET
205
Reading Results in Reverse and the Evil Powers of Hidden
221
What Should We Conclude? Flaws Limitations
241
The Slow Careful Crawl Toward Truth
256
The Truth Is Out There Now Go and Find It
264
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About the author (2026)

John V. Kane is Associate Professor at the Center for Global Affairs at New York University, where he teaches courses on research methods, applied statistics, and public opinion. He has written for top peer-reviewed journals, as well as for The New York Times, National Public Radio, and elsewhere.

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