Most Important Statistics Fallacy: Correlation doesn't Imply Causation!

Here we delve into the intricacies of statistical analysis and unravel the profound concept of "correlation doesn't imply causation." Join us as we embark on a scholarly exploration, meticulously dissecting the fallacy that mere correlation between two variables infers a cause-and-effect relationship.

Through a sophisticated blend of visually compelling illustrations and lucid examples, we navigate the nuanced landscape of statistical inference. Our objective is to illuminate the inherent limitations of correlation as a definitive tool for establishing causality. We elucidate the perils of unwarranted assumptions and emphasize the indispensable role of critical thinking and rigorous investigation.

Whether you are a diligent student of statistics, an inquisitive scholar, or an ardent knowledge seeker, this video offers profound insights that will fortify your understanding of fundamental statistical principles. Elevate your statistical acumen and challenge preconceived notions as we traverse the fascinating terrain of correlation and causation. Prepare to embark on an enlightening odyssey that will expand your intellectual horizons.

[hidayah]

You are the most genius person I have ever met in this world

[ponzianomanning]

"It aint what we don't know that gets us into trouble; it's what we know for sure that just aint so." (Mark Twain). Fantastic explanation with fun examples. I love Math and Science videos.

[vespa]

'Sleeping with shoes on' is redolent of some mafia-type threat.
As a former biologist, I confirm that correlations are fairly easy to find, but confirming any causation is way more difficult. Often you can swap the independent/dependent variables (like your plant and fish species from your earlier video) and infer a plausible causal link.
Controlling the situation can be near impossible, and the possibility of co-incidental correlation from unknown factor/s is always present.
As always, a very nice video.

[catsfor]

Awesome Lesson and so true with thinking in day to day life!

[JohnGiasi]

Always a super valuable topic to cover, love hearing it reexplained. Great job! There *does* seem to be a bit of an editing *error?* You redo example #3 originally @6:45 to @9:49 with ?better example? From @10:19 to @14:05 .. with a bit of ululation in between.

[GeorgiHadzhigeorgiev]

Hehe, going CRAZY at 9:47 aren't you Jason :P

[hidayah]

Hi sir, discussing vector calculus material, sir 🙏

[felixcat]

I like your videos but let's not belabor the point