As we delight at the thought of bringing misery to our fellow man, let's take a look at this intriguing report from UK, specifically the covid cases table at page 13 and covid case rates at page 17. Something strange: covid case rates among vaxxed/unvaxxed are roughly the same for >30 age group, showing a 2x-5x decrease in the vaxx population only for younger ages. Me thinks that this data warrants forcing all older people, vaxxed or unvaxxed, take a covid test every living day of their lives to prove their cleanliness and gain the priviledge of walking amongst the rightful. Hmm...
Making a second separate post. As this actually made me question things I went looking down this rabbit hole. Lo and behold this looks like a google bomb of bad material[1]. I then follow this through and find a whole set of people already pointing out how the paper does not claim that the vaccine is known to cause issues and pointing our your cherry-picking[2].
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.
I am interested in push back, because the publication is internally inconsistent. One one hand they say on page 5 "With the delta variant, vaccine effectiveness against
infection has been estimated at around 65% with Vaxzevria and 80% with Comirnaty", on the other hand their own data says roughly no difference in infection rates between vaxx/unvaxx in >30 age group.
Alas, your link [1] is just a random reddit screenshot and link [2] is accidentally missing.
My apologies for missing that link last night especially as the user appears to have scrubbed the comment. Let me quote the same information I meant to have linked to.
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?
Thanks for sharing. Just to make it clear, I am in full agreement that covid vaccines are very effective at reducing covid infection severity, especially in older age groups. The document we are discussing confirms as much.
> 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.
For the record, somebody provided an alternate explanation along the lines of 'they are doing a dumb thing'. Specifically, population estimates are less reliable than vaccination counts, and as vaccination rates go near 90% and over, the unreliability greatly increases when computing unvaccinated_estimated = pop_estimate - vaccinated. A corrected graph using a different population estimate:
Oh hey, you finally posted data from a not immediately bad source that backed up your point. This is legitimately something that makes me look at the data and question current course.
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
https://assets.publishing.service.gov.uk/government/uploads/...