But no, you can’t extrapolate the data like that in the way they you are because the methodology does not support that extrapolation.
We know how they get the percentages of efficacy…no need to go over that again.
But those percentages don’t translate into what you are trying to extrapolate them to mean.
earlier you were claiming it meant 95% were 100% immune. It looks like you are backing off that claim now.
But you still aren’t quite right. It’s not that 95% have a better chance of not getting covid and 5% have the same chance as an unvaccinated person…it’s simply that in the trial, the vaccinated got 95% less covid.
It’s not that…hmm…it’s hard to explain via post - or I should say, my statistics is too weak to explain it well, and perhaps that’s the problem here all along…
I’ll try…the 95% don’t have a better chance of not getting covid - the 95% didn’t get covid. That doesn’t mean they won’t the day after the trail ends. And it doesn’t mean they will. But they didn’t this time around.
The 5% did. The stats don’t know if they had a better or worse chance of getting it than the 95% or the unvaccinated. All they know is, they got it.
Of course we want to apply these numbers to our lives so we can make informed decisions. But - and again, looks like you are not claiming this an longer - don’t think there is a subset of the vaccinated who simply can’t get covid. That is not true.
Applying the study results to real life…a vaccine with 95% efficacy is just phenomenal. that’s just easy to grasp right?
But the next study to consider regarding vaccine effacicy is the one in the times article that studying three locations int eh US that track vaccinated vs unvaccinated cases (the CDC and most areas are only tracking that for hospitalizations and deaths at this point.) 1 in 5000 to 1 in 10000 per day are your chances of getting covid.
Important to recognize it’s 1 in 5,000 chances, not 1 in 5,000 cases.
So this real world study starts to clarify the ODDS of getting covid, not the efficacy of the vaccine. It becomes an expression of that efficacy as well as real world conditions.
This is the line that is fun to twist your head around:
Here’s one way to think about a 1-in-10,000 daily chance: It would take more than three months for the combined risk to reach just 1%.
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Why would the odds be so much lower than the efficacy percentage? Because the study is following a fixed group of people for a fixed group of time - during a time when vaccines were not widely in the population. So we’re starting to see the affect of the vaccine on community spread - we hoped for herd immunity which would be the ultimate expression of this affect, but we aren’t there and probably won’t get there, but none the less, during the studies, there was moe covid in circulation. So today, for the general population - not a fixed study group - the odds of getting covid after vaccination are dropping even though the efficacy seems to be as well.
I hope I am explaining this clearly, though I probably am not.
And it really doesn’t matter. We have a great vaccine but it is waning. Our odds vaccinated are still really, really good, and boosters are coming.
But your earlier statements about 95% being 100% immune were just not correct. That’s not how it works.
Anywho…