Lying with Visualizations: Seeing Isn't Believing

By Kenwright

A provocative exploration of how visualizations can mislead, manipulate, and distort truth. This book equips readers with the critical thinking skills needed to decode deceptive graphics and uncover the reality behind the visuals.

Pages: 712
Publication: 10 October 2025
Language: English
ISBN: 9798269182964

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If Information Design keeps catching your attention, “Lying with Visualizations: Seeing Isn't Believing” is a title to put on your radar. Its listed scope opens a worthwhile conversation about Visualizations. Visualisation connects analysis with the way another person sees an argument. Choose a comparison that matters and ask which design decisions make that comparison easier to understand. Keep it close to the place where you read. Choose a manageable section, leave yourself a clear return point, and let the topic become part of a rhythm you can sustain. A worthwhile idea does not need to be rushed. Worth exploring when you are ready for a fresh reading direction.

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Explore Analytics, Data Visualization, Media Literacy with a reading approach that gives the ideas somewhere to go. Visualisation connects analysis with the way another person sees an argument. Choose a comparison that matters and ask which design decisions make that comparison easier to understand.

The listed 712 pages give a sense of extent; page count alone does not establish depth or difficulty.

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Publisher’s synopsis

In an age of information overload, visualizations are everywhere - from news articles and social media to scientific reports and political campaigns. But not all visuals are created to inform. Some are designed to persuade, mislead, or even manipulate. This book dives deep into the psychology and techniques behind deceptive visualizations, exposing common tricks like misleading axes, cherry-picked data, chartjunk, and more. With real-world examples and practical analysis, readers will gain the tools to critically evaluate visual information and become savvy consumers of data.

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