Plus of course incidence. So did he have sex with each guy once or many times? Plus a sample size of 10 is worthless. Perhaps if he’d had sex with 1000 guys then only 10 would still be infected. Perhaps his numbers are an outlier. You can tell nothing from a small sample study. But news organisations love ‘em. They never check the facts. The standard of science reporting is woeful.
Here’s a bit of background reading if you’re interested:
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Granted all my reviews were negative and the only reason is they all seemed like bait and switch. Also accepted I’m looking at the bottom end of the market.
Two good points are that they could’ve been previously infected - but the article seems to suggest otherwise. Yes it’s the number of times matters but as I recall he would meet them on grinder and text them after. Even if he is Superman, and did each one 5 times numbers still don’t add up. I’m quoting the BBC because that’s my source.
Also accepted about sample size but I did mention that in my post.
Oh Jesus.
If you really are a scientist, how is it you are so bad at mathematics? Specifically probability?
I cannot be bothered to explain to you why your mathematical analysis is incorrect. But this should help you work out why you have got it wrong: let's just say, if you flipped a coin 10 times and 10 times it lands on heads, it still means the probability of it being heads is 50% and not 100% even though it landed on heads 10 consecutive times (i.e. in 100% of cases).
The issue of contention is the definition of probability. However The reason I used the word probability, is that in medicine infection rates, or probability of an infection is constantly evolving, unlike a coin.
Of course the probability remains 50% for a coin flip But 1) after a few hundred or thousand flips of only heads, perhaps you would consider the coin was not equally weighted, and therefore change the probability.
2) this isn’t a perfectly weighted coin it’s biology. The probabilities of HIV infection are based on sample data and estimates. The probability keeps changing and evolving.
If you took penicillin 30 years ago, it would most likely cure your pneumonia. In some parts of the world today it’s now less than 50% because of multiple factors one of which is drug resistance due to bacteria evolving.
So that’s changed completely, but a coin toss still has the same probability as 30 years ago.