Imagine walking through a beautiful garden. You notice that every time the flowers are blooming, there are butterflies flying around. You might think: The flowers blooming must cause the butterflies to appear! But is that really true?
Correlation: The flowers blooming and butterflies flying around happen at the same time…. ere’s a relationship, but it doesn’t necessarily mean one causes the other. Causation: It’s actually the arrival of spring warmer weather, sunshine, and longer days could be causing both the flowers to bloom and the butterflies to fly. This clearly demonstrates why correlation is not necessarily causation Just because two things happen together doesn’t mean one causes the other. There’s often a hidden factor (like spring in this analogy) influencing both. Key Lesson: When analyzing data, always ask, What’s the hidden “spring” in my analysis? Dig deeper to uncover causation with careful experiments or advanced statistical methods.
Remember: Correlation is like observing flowers and butterflies in the garden. Causation is understanding why they’re both there.
