Excellent

exactly. These pacient disease examples were driving me nuts.

Thanks!

Thank you very much Shirshanya. That is a huge compliment. I'm honored.

Please make more statistics videos! I have suggested your channel to my biostat teacher.

Thanks Razvan. I'm so happy you enjoyed it.

Thank you. I really appreciate that.

I'm very happy to hear it Fahad. Thanks.

haha.

lol

Unless it's cocaine.

So the probability of this sample being true is 0%, hahhaha

You have never been to developer conferences :)

Thanks!

Yes it was great. It seems running into Feigenbaum maths or simular

I'm so happy to hear it Taghreed. That was exactly my hope.

Thanks John! I agree with your students. When I watch this now, I cringe. I definitely need to re-do it with a better example, one that doesn't reinforce outdated gender norms.

@@BrandonRohrer No....Please, do not follow the mad crowds... this an innocent, simple math example. People are getting crazy and finding excuses to feel offended and start meaningless fights!

So sad. Long hair and standing in the womens restroom line and we cant even use Bayes' thereom to assume its a woman 😂

now that you have said that (an year ago), i kinda feel like finding the probability of likelihood of a youtuber making too simple tutorials!

Thanks Mathias!

I found them surprising relevant too. Thanks Sridhar.

Thanks Jose! Welcome to the channel

I’m not sure that Bayesian epistemology requires a belief in improbable things. I love this video, but I think that’s an overstatement. I do think that it requires us to be open to the possibility that improbable things may be true. It does not require me to have faith in anything improbable, but rather to proportion our beliefs to the evidence (probabilities)- which is the antithesis of faith-while accepting the possibility of being wrong. To accept something as true that is improbable… is intellectually irresponsible and lacks due caution and humility. But to withhold belief (proportionally to the evidence) from improbable things is intellectually responsible and does not exclude being open to surprise-to the possibility that something improbable is true. I don’t think Bayesian epistemology intrinsically expects you to hold as true some improbable thing (faith). Abstinence from faith is acceptable in all cases as long as the possibility of error is operative. This suggestion that it’s necessary in Bayesian epistemology to believe something that is improbable was the only sloppy part of the video, no? I’m open to correction…

I think you guys got it the opposite way, the video was trying to say, be open to believe in the improbable things that come from the data (evidence), rather than only holding on a prior belief.

Thank you very much :)

* quickly looks up Cox's Theorem * Why, yes it does Donna. Thank you! :)

Thanks Erin!

Thank you Lilit! I appreciate that.

Thanks Julian

Glad to hear it

Thank you :)

💜 🧡 🖤 💚 🤎 💛 💙

Thanks Dov! And good callout - this focuses on the concepts and doesn't tell you quite enough to code it up. That will be the subject of a future course on e2eml.school

Thanks!