Umbrellas do not cause traffic jams

1. 1Identify potential correlations in your data
2. 2Apply critical thinking to determine if correlation implies causation
3. 3Consider alternative explanations for the observed relationship
4. 4Test your hypothesis with additional data or experiments
5. 5Avoid jumping to conclusions based on limited information

Data scientists and analysts can benefit from understanding this concept to avoid misinterpreting data and making incorrect conclusions

💡 Correlation does not necessarily imply causation, and alternative explanations should be considered

🚨 Correlation ≠ Causation 🚨