# How to Lie with Numbers, Stats & Graphs: Unveiling Deceptions in Data
## Introduction
- Why You Need This Book
- Unmask Deceptions
- Clear Insights
- Practical Examples
- Empower Yourself
- Engaging and Entertaining
- Visual Learning
## Part I: Statistical Deception
- Understanding Misleading Statistics
- Correlation-Causation Fallacy
- Misuse of Averages
- Cherry-Picking Data
- Small Sample Sizes
- Real-World Scenarios
- Pirates and Global Warming
- Cats and Mexican Lemons
- Myths and Misinformation
## Part II: Graphical Manipulation
- Misleading Graphs
- Truncated Axes
- Inappropriate Scaling
- 3D Graphs and Visual Distortion
- Pie Charts and Other Visual Tricks
- Overloading Information
- Misleading Percentages
- Color and Design Manipulation
## Part III: Tools for Critical Thinking
- Spotting Deceptive Practices
- Identifying Biases
- Questioning Sources
- Cross-Checking Data
- Building Data Literacy
- Interpreting Complex Data
- Understanding Statistical Jargon
- Using Visual Aids Effectively
## Part IV: Applications and Implications
- Impact on Public Opinion
- Shaping Perceptions
- Influencing Policy
- Media Manipulation
- Case Studies
- Political Campaigns
- Corporate Marketing
- Scientific Research
## Conclusion
- Transform Your Understanding
- Navigating Data Integrity
- Scrutinizing Information
- Making Informed Decisions