Quote:
Originally Posted by Sauve
There really is no excuse for an unplanned pregnancy imo.
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Quote:
Originally Posted by Sauve
instance of this happening where the contraception has not only been used, but been used correctly is extremely low.
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Not really because you are leaving one important factor out of your calculations. The Number of people involved and the number of times they have sex. The odds of any one person winning the Lotto are also minuscule but because of the number of people playing someone usually does.
It sounds good on paper to throw numbers like 85, 95, 98 or even 99% around. They sound huge relative to the number 100%. Even 1% however is going to lead to a far from insignificant number of unplanned pregnancies given the number of people involved and the number of times people have sex.
Lets make up some random numbers... they do not have to be too accurate.... to see just how big an effect 1% can have.
Imagine 1million people are having sex 3 times a month. That's 3 million shots at target. As one has to do it during the fertile period we can divide this by 4. (Remember fertile period does not just refer to when the woman is fertile as sperm can "hang around" for a couple of days too). 750,000 shots at target.
If using condoms alone and even if assuming near perfect use of them we can apply 1% and still get 7500 conceptions. Per month.
Now as I said the numbers are makey uppey and some too high some too low. The point is to highlight that we can easily be misled by seemingly overwhelming statistics such as 99% and under estimate just how significant 1% can be. Let alone the 15%-85% that can often be applicable to condom use.
Numbers and statistics are powerful things and can be grossly misused to confuse people into agreeing with something really bogus.
For example you rarely hear someone in court being accused of possession of 1g of cocaine. The prosecution will normally say 1000mg instead because it sounds larger.
Similarly %s are dangerous and if two experiments are run and one has a 0.00001% success rate and the other 0.00002% then neither experiment is very significant. That won't stop news papers running stories saying "new drugs 100% more successful than the old one" which although perfectly accurate numerically is clearly misleading.