Causal Inference Science Explained: A Friendly Guide to Finding Real Causes in Data, Experiments, and Everyday Life

Robert Whitmore

Master data analytics and critical thinking by unlocking the hidden science of cause and effect without the heavy math. Whether you are navigating confusing headlines during your morning commute or trying to make smarter professional decisions, this...

Premium Chapters

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Opening Credits

1/11/2026

Chapter 1: Why Cause and Effect Is So Confusing

1/11/2026

Chapter 2: Correlation, Causation, and the World That Might Have Been

1/11/2026

Chapter 3: Drawing Causes: Stories, Arrows, and Causal Diagrams

1/11/2026

Chapter 4: The Gold Standard: Experiments and Randomization

1/11/2026

Chapter 5: When Life Runs the Experiment: Natural Experiments and Quasi Experiments

1/11/2026

Chapter 6: Hidden Mix Ups: Confounding, Selection Bias, and Other Traps

1/11/2026

Chapter 7: Opening the Black Box: Regression and Matching Without the Math

1/11/2026

Chapter 8: Leaning on the World: Instruments, Cutoffs, and Before After Designs

1/11/2026

Chapter 9: Untangling Pathways: Mediation, Mechanisms, and Interactions

1/11/2026

Chapter 10: Thinking Like a Causal Insider in Everyday Life

1/11/2026

Closing Credits

1/11/2026