Correlation Does Not Imply Causation 🔥 Explained in 60 Seconds | Correlation vs Causation

Correlation and Causation are two very important concepts in Statistics and Machine Learning.
✅ Correlation is a number that measures how closely x is related to y.
✅ Causality is the conclusion that x causes y.
But just because two things are correlated, it doesn't mean that one thing causes the other.

For instance, the number of ice cream sales and heat rashes, both go up significantly during summer. Does it mean that buying ice cream causes heat rashes? No, right? It's the Summer weather that makes people want to buy ice cream, and it also can increase the chance of heat rashes. So, summer is causing an increase in ice cream sales and heat rashes, not one causing the other.

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[dangster]

The ice cream and heat-rash example is first cited in Cody Baldwin's youtube video. I think you ought to give him credit to avoid plagiarism.

[moviesfratinity]

I think the correlation of the two items should be done with a base in common. Like ice cream and hot food items, etc.
Please do not justify your theory by just taking two different items that are not related to each other ach on any ground!
Please correct me if I perceive your point in the wrong manner.