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CRITICAL THINKING - Fundamentals: Bayes' Theorem [HD]
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- Опубліковано 19 сер 2024
- In this Wireless Philosophy video, Ian Olasov (CUNY) introduces Bayes' Theorem of conditional probability, and the related Base Rate Fallacy.
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Best simple presentation of Bayes' Theorem I've seen so far. Thanks for the video.
I prefer Baye’s theorem as
P(A|B)*P(B)=P(B|A)*P(A)
Easy to remember and symmetric. And it’s also helpful because sometimes it’s the conditional probability you’re solving for
i can't start to imagine a venn diagrams with more than 5 circles. also think about conditional probability for that!!!
There are a lot of good Bayes videos out there with all the boxes and explanations. This one just cuts straight to the point and gives a very simple example that we can relate to. Excellent.
The Best and most straightforward explanation that I have seen. There are so many videos out there...very confusing.
Glad it was helpful!
Have spent too much time searching for resources to break down and explain this theorem; this 6 minute video trumps all. Well done and thanks Ian.
Could u guys make two videos that explain Gödel's incompleteness theorems without too much details, but detailed enough to understand the idea?
Omg! ian im an atty assistant to a nys supreme ct. Justice. I've never taken a probability/statistics class. My judge has a matter pending before him right now which amongst other science related topics, involves Bayesian probability. Well thanks to you and this amazing video [unlike others I've watched this week, fruitlessly ] I get it now, I get it now!!!!! You are now one of my heroes- a gold medalist MATHLETE.
Thank you and good luck and much success in your studies and in all of your endeavors. 😊 now let's cure Hypothesitis!
You did a great job of introducing this theory. You have the right talents to do well with these kinds of videos.
Fantastic vid, Ian is great at explaining the concept
That was a really understandable example. Though terms like "P of H given E" and "P of E given H" mess up my head.
WIll you be making a video on how this relates to the philosophy of science?
critical thinking should be taught to children. as a child i ALWAYS searched for this, never found it. no teacher ever knew what i was asking for. there was no internet like it is now back then. it wasnt until after college i actually indulged in critical thinking and studying it. the world would be a much better place if children would understand these terms.
This was a fantastic video. I'm going to a CUNY school for undergrad and this video makes me proud of it :)
After watching many videos on this concept and pulling my hair off, finally ended with this best explanation video. Thanks ❤
Glad it helped!
Very nice video, i recently went to a presentation about the power of evidence in criminal law and they used Bayes' Theorem to calculate the power of the evidence. Liked and subbed
Great Video!!! Have been struggling to understand this concept but you have made it simple and clear for me. Thank you so much!! :)
I've a bunch a videos online trying to explain Bayes Rules. This one is the best I've seen so far. If you guys have a problem with this video you should see some of the other stuff out there.
I always enjoy seeing how the logic that I use pretty much without realizing why can be broken down and explained so that other people who don't possess the same quality of innate faculties can have it explained to them.
11 years after taking the IIT Entrance exam... finally, today I understood what it is.. thanks... 😂😁😊
Absolutely so cool. A tool looking specifically at the situation where we grant that we don’t know whether something is true.
Philosophy was one of those subjects that I was SO excited to take in college! It started out smoothly until we started with these equations and I realized it's a lot like math, which I sucked at. I want so much to understand this stuff but it seems it really has to be
B
R
O
K
E
N
all the way down for me in the simplest way. I love this stuff so much! Thanks for these videos!
The BEST presentation of the concept I have seen so far; thanks a ton!
Short but not an insufficient to understand
Great lecture, simply wow teaching 👌👍
this was excellent. I was reading a paper recently and it used P(E|H) with those letters representing Evidence and Hypothesis, just like this video uses, but I couldn't understand how to interpret that proposition. this was very helpful for that piece I happened to run into, let alone explaining the theorem itself.
Thanks a really informative and explanatory video for beginners in Bayes' Theorem! Keep up the good job
Outstanding! Thanks for the help.
This would be useful for society to remember this, right now!
thumbs up! short and effective intro to Bayes Theorem
Glad you liked it!
Great explanation, this video has been the most helpful to me all the vids on this topic I've seen and the video length is perfect too.
I have an exam in a matter of hours. You saved me! thank you:)
How’d you do?
@@promise7407 I did really well, thank you!!
I believe I finally understand Bayes after this video!! Thanks
I currently study entry-level data science, and this is reall helpful. Thanks a lot for the video. BTW, can you let me know what video editing tools did you use to make this?
Best explanation I have seen so far!
Thanks very much for fantastic explanation :)
ty. first video on the topic that didn't give me a headache
Your handwriting is godly.
my professor used this video !, wonderful
Beautiful video! Really helped me conceptualize what is actually going on here. Although I think I may have hypothesitis now.
Great video and easy to understand explanation. Thank you for creating.
Great vid. Watch this vid after working through/with the multiplication rule of independence for at least a little bit.
Did you actually explained how the formula is derived? I can't see that, just plain "put you values inside this black box".
i love the comments here.....very thought provoking
Excellent video! Thank you for breaking it down!!!
hands down the easiest to understand video about the Bayes theorem
great visuals and liked the simplicity of the explainations
Excelemt! it is the clearest explanation for me.
Excellent and clear cut explanantion . Thanks
Thanks for the clear explanation :)
That's a really good explanation. Thank you!
Very well explained and clear thanks
This is a perfect explanation!
Incredibly helpful - thank you!
You explained it really well ..
An awesome video, very clear and concise!
Thanks, that was admirably clear and concise!
First video I finally understood!!
Found the video really useful Explanation was really good.
What will be the P(E | H) and P(E) values if we try out Sally and the flu example?
Excellent approach. Thank You!
thanks it is so insightful to know this theorem
wow ... good method to teach wireless philosophy.
Really useful. Excellent video
thanks for the vid. i need this for my demo teaching
Beautifully done video
Very cool, thanks!
Thank you for the excellent explanation!
Just awesome! Thanks a lot!
Hardest one in the series yet, but well explained.
How is P(H) discovered? How do they know how common Hypothesitis is in the general population? Especially since no test for Hypothesitis is 100% accurate. Is the data collected via autopsies?
This made me comprehend it more, thank you!
If the P(H given E) = 0.00095, does that mean that (1-0.00095)=0.99905 is the P(not H given E) and thus, it's very unlikely that one has H given E, and very likely that one does not have H given E?
Thanks for the video.very well-explained.
Bayes' Theorem points out the dependence of statistical reasoning on descriptions of events or states of affairs. If your starting point is that someone may have hypothesitis, it raises the questions not just of what is the probability of these symptoms in a hypothesitis patient (hp), but what is the probability of hypothesitis in a patient with these symptoms. But these just raise more questions about proper description of the relevant population. Not just what is the probability of hypothesitis in the people of where - this class, this town, this region, the earth? And not just all that but what is the probability of hypothesitis in a member of this population at this moment? The disease is presumably not a static thing, but a process over time. And then, what is the probability of someone in this population right now being a hp given other variables? In other words, the formula might give a reasonable way to draw conclusions assuming we have a good understanding of what level of ignorance we are at and how close we are to having that magical description at which the probability is either one or zero. It is tempting to think we have some basic question of the form, "What is the probability of X, simpliciter," but how often do we have such a question?
Excellent !!!
That was terrific. Thank you very much!
awesome .. explanation take a bow
Thanks man, you very well explained it , thanks a lot.
this makes a lot of sense. thx
Very good video!
Thank you!
superb illustration....
Thank you for sharing, this is a nice video.....
This is amazing.
i felt the explanations were very intuitive because the probabilities in the example were very plausible
Great stuff . Couldn't have explained better (y)
This is great. Thank you!
super video yaar
I watch all your videos and love them, thanks! I have some feedback though: Can you please tune down the intro effect volume? It's always too loud!
That was great thanks!
Great video, thanks!
fantastic video
Excellent, Thanks
Nice man. God bless you
Good one
super thala, kalakitenga, super good
I get it now! Thank you!
amazing
Excellent. Thanks.
Excellent!
Thank you sooooooooo much
.
I have to ask a question that will be phrased somewhat awkwardly, so excuse me. If we view P(AlB) as stated, "The probability of A so long as the probability of B is 1," could we likewise make a weighted version of such a function where likelihood of B is increased to a number, call it P(B') ----> P(A)lP(B')=P(AlB)(1-(P(B)-P(B'))? Have I made a mistake somewhere or does this exist to be true?