Transmission happens where people are crammed together. The Provincetown case from the summer vividly illustrated how this applies in highly vaccinated populations.
I didn’t deliberately miss your point, I’m saying your point is wrong.
You can’t talk about the “how and where the virus spreads” if you are acting as if vaccinated and unvaccinated populations have the same rate of spread. The existence of breakthrough infections does not invalidate the fact that the vaccine lowers transmission rates in the population.
It isn’t some binary field of isUseful where the presence of single transmission of the virus from someone who is vaccinated flips the value to false
https://assets.publishing.service.gov.uk/government/uploads/...
If you are going to spread misinformation across the internet, please at least run your clips through a thesaurus so they aren't a few seconds of googling away to discover the issue.
[1]https://imgur.com/Dgujf3N [2]
Alas, your link [1] is just a random reddit screenshot and link [2] is accidentally missing.
This is from page 12 of your linked source, the bit with words before the nice graphs you wanted me to focus on.
> These data should be considered in the context of vaccination status of the population groups shown in the rest of this report. The vaccination status of cases, inpatients and deaths is not the most appropriate method to assess vaccine effectiveness and there is a high risk of misinterpretation. Vaccine effectiveness has been formally estimated from a number of different sources and is described earlier in this report. In the context of very high vaccine coverage in the population, even with a highly effective vaccine, it is expected that a large proportion of cases, hospitalisations and deaths would occur in vaccinated individuals, simply because a larger proportion of the population are vaccinated than unvaccinated and no vaccine is 100% effective. This is especially true because vaccination has been prioritised in individuals who are more susceptible or more at risk of severe disease. Individuals in risk groups may also be more at risk of hospitalisation or death due to non-COVID-19 causes, and thus may be hospitalised or die with COVID-19 rather than because of COVID-19.
Your own source is saying your interpretation of the data is incorrect and explaining why you’d see higher rates of vaccinated individuals hospitalized. Why are you claiming that the study proves what it says it doesn’t prove?
> simply because a larger proportion of the population are vaccinated than unvaccinated and no vaccine is 100% effective.
They are computing case rates. This part of the argument doesn't explain that the case rates are similar in vaccinated vs unvaccinated population.
> This is especially true because vaccination has been prioritized in individuals who are more susceptible or more at risk of severe disease.
The cumulative vaccination uptake rates are 85%+ in >50 ages group, see charts on pages 9-10. While prioritization may have a sizable effect at small vaccination rates, once almost all of the population is vaccinated we have to assume the most of the vaccinated are not 'more susceptible or more at risk of severe disease', otherwise we are simply saying that (almost) everyone is more susceptible. Also, it is 'susceptible of severe disease' not simply 'susceptible of getting infected with covid'. If 10-15% of the population were to have 90% smaller susceptibility to covid infections within the same age group from natural causes, we would have heard about that by now.
For me, the mystery remains.
I could speculate a number of hypotheses, the first one being that there is something about they count 'covid cases' that doesn't match the rest of the literature, but I was unable to find the specific paragraph describing that. Perhaps there is something really dumb that escaped me :(
On the flip side, I also don't have visibility in how 'vaccine effectiveness' rates are computed in the rest of the literature. Perhaps there is something about how other people count 'covid cases' that presents a different picture.
That being said, theirs is a real life measurement of an entire country on natural timeframe, vs. studies that are usually done on population samples on limited timeframes, and then extrapolated to entire countries on natural timeframe. So while this is a single source, it is from a highly credible org with a highly credible setting, making it difficult to dismiss offhand.
https://twitter.com/JamesWard73/status/1436017485262823424?s...
Same bud, not really sure where to take the conversation if you are dismissing offhand your sources interpretation of the data and then still say
> So while this is a single source, it is from a highly credible org with a highly credible setting, making it difficult to dismiss offhand.
Now question for you. Do you have other data sets backing this up, or only the single one that goes against the other data sets?
I actually am taking this into account, but a single set of data or studies that purports one conclusion is not going to make me ignore the hundreds of other studies that disagree
You are 100% correct. The vaccinated are barely affected while the unvaccinated are heavily affected.
>It doesn't make sense to apply the same restrictions everywhere, if your odds of catching the virus happen to be slim.
Correct again. We should not limit the vaccinated and prevent the unvaccinated who refuse to take routine tests from affecting the public.
Just so you think I am not allowing for any other option. I am 100% fine with someone who takes a Covid test and gets a negative every single day being allowed the same public privilege's as someone who gets the vaccine. My actual issue is with people who conflate not getting the vaccine with not getting tested as well but still somehow being allowed to walk around in public