What is it?

Correlation indicates a relationship between two variables, while causation implies that one directly causes the other.

Confusing the two leads to faulty conclusions.

Examples in Action

• Assuming performance changes caused by unrelated events
  
• Misinterpreting coincidental trends
  
• Acting on patterns without validation
  
• Drawing conclusions without controls
  

Typical Outcomes / Results

• Reduced false conclusions
  
• Stronger experimentation discipline
  
• Improved confidence in decisions
  
• Better prioritisation
  

This definition reflects foundational analytical reasoning.