Causality (and the difference to correlation) simply explained

Causality means that there is a clear cause-effect relationship between two variables. Thus, there is causality if action A causes outcome B. A common mistake in the interpretation of statistics is that causality is inferred when a correlation is present. However, a correlation only indicates whether there is a connection.
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[@abdelgaderalfallah]

You know what, I've just figured out that. Casualty and Casuality aren't the same.
Many thanks for your helpful insight.

[@datatab]

Thanks for your nice feedback!

[@ronaldmarcks1842]

I remember when some cigarette companies used to argue that there was no causality between smoking and lung cancer, but only correlation, as both outcomes were dependant variables driven by the same independent variable, a "Type A personality", which of course they invented :)

[@datatab]

That is funny : ) Regards Hannah

[@nothinggmuch8642]

Your channel is absolutely lovely, informative and nice to look at. I never though i would be ever captivated by science :), keep doing what u love and enrich more people!

[@switchcorp.asesoriaytesis]

Really interesting and clever way to explain the difference between the two. Thank you ❤

[@datatab]

Glad you liked it!

[@sunl6564]

Thanks!

[@datatab]

Welcome! Many many thanks!

[@mohamedsuhail3365]

Need more of this😊

[@datatab]

Greate, we will do more : )