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Lying with Visualizations: Seeing Isn't Believing
Paperback
Publisher: Independently Published
Published: Oct 9 2025
Pages: 306
Weight: 1.18
Height: 0.64 Width: 7.00 Depth: 10.00
Language: English
Every day, you're surrounded by data visuals-on news sites, social media, and in corporate reports. They look precise. They sound factual. They feel objective. But what if the charts, maps, and dashboards you trust most are quietly distorting reality?
The Art of Deception reveals the subtle, fascinating, and sometimes alarming ways visualizations can mislead us. It also teaches you how to fight back. With a hands-on, practical approach, this book shows you exactly how deceptive graphics are built-and how to deconstruct them-using plain JavaScript and the HTML Canvas API.
Written in a clear, engaging style, this book turns readers into visual skeptics and ethical creators. You'll explore real-world examples of misinformation, rebuild misleading visuals from scratch, and learn the coding and design principles behind honest, transparent storytelling.
Whether you're a data analyst, developer, journalist, or simply a curious reader, this book will help you sharpen your critical eye and understand how visual persuasion really works.
What You'll Learn
How charts, maps, and dashboards manipulate perception
The psychology of visual persuasion and framing
How to reverse-engineer misleading graphics step by step
Hands-on coding skills in JavaScript and HTML Canvas
Ethical principles for clear and responsible design
The growing influence of AI-generated visuals and deepfakes
Why This Book
This is not a typical data visualization manual. It's part investigation, part creative workshop, and part call to action. You won't just read about visual deception-you'll experience it, rebuild it, and ultimately learn to design with honesty and clarity. Each chapter blends storytelling, technical examples, and accessible explanations, making it approachable for both beginners and professionals.
By the end, you'll see the visual world differently. You'll recognize bias and manipulation wherever they appear-and you'll have the tools and knowledge to design visuals that earn trust instead of eroding it.
Perfect For
Data analysts and scientists who want to communicate more ethically
Web developers and designers building interactive dashboards
Journalists and researchers committed to transparency
Marketers and communicators seeking to persuade responsibly
Curious readers who never want to be fooled by a chart again
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