Basic question on increased probability

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The discussion centers on the effectiveness of condoms in preventing pregnancy, specifically the hypothetical scenario of using two condoms (double-bagging) to increase effectiveness. The original poster calculates that if condoms are 98% effective, using two would theoretically lead to a 98.04% effectiveness rate, a minimal increase. However, the consensus is that double-bagging does not actually improve effectiveness and may even increase the risk of condom failure. The mathematical reasoning provided supports the idea that the probability of both condoms failing is very low, reinforcing the notion that the effectiveness does not significantly improve. Ultimately, the thread highlights the misconception about double-bagging and its implications for pregnancy prevention.
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Hi, this is just a curiosity question which occurred to me when I was reading the Wikipedia page on condoms. I'm sorry to start a topic on something so basic, but there isn't a category on the homework section for "other" aside from calculus/physics ect.

Let's say condoms are 98% effective over a year of use in preventing pregnancy. Let's pretend that double-bagging actually increases the effectiveness by adding another 98% chance of effectiveness (in reality, this appears to be untrue). How is that formally done? I was thinking that 98/100 of the times, pregnancy would not happen. 2/100 times it would. Since it is double-bagged, 98% of those 2/100 would not happen. That means .98 * 2 = .0196 or 1.96%. In other words, 98.04% of those using double-bagged condoms would have no pregnancies.

Is that right -- would it increase the chance of no pregnancies .04%? It just seems like such a small difference.
 
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Assuming the condom failures are independent, then if the probability of one failing is .02, the probability of both failing is .0004 (.022). Thus the probability of not failing is .9996.
 
Note that's the same as .98 + .98 - .98^2 = P(A or B) = P(A) + P(B) - P(A and B)

Which should make sense since you are defining failure as both having to fail therefore success is either one has to succeed.

Mathematically we have .98 + .98 - .98^2 = .98(1 + 1 - .98) = (1 - .02)(1 + .02) = 1 - .02^2 as mathman stated.
 
The above two posts have the math correct. Note that in actual use this would be more likely to increase rather than decrease pregnancies...
 
The OP does note that in his original post though he seems skeptical.
 
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