Math: Conditional Probability
Uploader Comments (Stedwick)
Top Comments
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O.J. Simpson disliked this video.
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This explanation is really impressive. You are a great lecturer!
All Comments (162)
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what ? if people with HIV is 1% of 100,000 it must be 1,000 people with HIV not 100 people
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@CMFangirl I was simply making a point, which some people apparently can't see due to personal issues. I used CDC figures, which seem extreme to me but are accurate.
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@GaijinNH a) We weren't given that information. You have no method with which to apply that statistic (which sounds really unlikely, personally).
b)It was a math demo, for christ's sake. He didn't post the video to help you figure out whether or not you have AIDS.
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Conditional probability is hell of a lot better now...thankx!
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15 people have HIV
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wow..thanks so much. i couldnt really understand the khanacademy one on probability but this is amazing!!! i cant thank you enough! thanks for dumbing it down for me, it makes sense now!
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@Stedwick Gay isn't a race. Perhaps "Homophobe" would be more accurate. But good job on the math. Cheers.
99% of trolls here are cynical arseholes 100% of the time.
PatMurph245 2 months ago 2
@PatMurph245 Ha ha, true that.
Stedwick 2 months ago
This seems like nonsense...HIV isn't random. The percentage of people who have any STD is relatively low, but the percentage of gay men who have an STD is over 90%. If you're gay, and you have a positive HIV test, your chance of actually having HIV is much higher than 9%. The circumstances of each individual change the odds. You can't apply the laws of probability so haphazardly.
GaijinNH 3 months ago
@GaijinNH First, lovely to have a racist here with us (if 90% of gay people had aids they would all be dropping like flies, lol), and second, yes, OBVIOUSLY if you have more information you can improve upon statistics. It's like if I said that any individual person has a 1% chance of dying this year and you said NO THAT'S WRONG because for somebody who's 95 years old their chance of dying is way higher, therefore you can't apply probability.
Stedwick 3 months ago
I feel like there's a fallacy in using population stats to reflect on a specific individual. That is, the probability of actual infection from, YOU testing positive for AIDS one time, and any randomly selected positive-tester from the population of 100000, is different.
What if you were the ONLY person to take the test? How could it still be 9%.
Pantlessness 6 months ago
@Pantlessness That's like saying that probability goes out the window if you only play one hand of blackjack at a casino. Not at all. The probability is always the same regardless of how many hands you play. The house always has the upper hand.
Stedwick 5 months ago