Lies, Damned Lies, and Statistics

Explore common statistical fallacies and learn how to recognize and avoid them in this 28-minute EuroPython Conference talk. Delve into topics such as correlation vs. causation, Simpson's Paradox, sampling bias, misleading data visualization, and statistical significance. Gain valuable insights to critically analyze statistical claims and draw accurate conclusions from data. Perfect for beginners and professionals alike, this approachable introduction to statistics uses real-world examples to illustrate how easily misinterpretations can occur and provides tools to navigate the complex world of data analysis.

Intro
Starting point
Correlation
Simpsons Paradox
Sampling Bias
Data Visualization
Statistical significance
Conclusion