When calculating the probability of overlapping characteristics within specific groups, the mathematical approach of adding versus subtracting variables significantly impacts the accuracy of the result; adding people who possess the desired characteristic (e.g., multiplying by 0.63) is more accurate than subtracting those who don't, because subtracting can introduce inaccuracies due to potential overlaps between groups.
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Does the math actually hold up? Let's break down the logic.
Added:Ok, ok.
>> [laughter] >> Um >> Dude, it actually checks out. The math actually checks out.
>> No, because I think what you're doing there, you have to realize that at least my interpretation here, and perhaps I'm wrong, but my understanding of what you just did there, you're assuming that all these groups like chip away continuously.
>> No, I'm not. I'm adding them. I'm adding the person who has your characteristic.
I'm not subtracting it. If I was subtract a person that doesn't have the characteristic, then it would be inaccurate. Because like some of there could be some overlap. But if I'm adding >> some women who like meet all the entire threshold, like all those things.
>> Right.
>> And so that is I'm adding. I'm going times 0.63 have the trait you want as opposed to times 0. whatever don't have the trait you want.
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