Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Country is full of idiots. But you knew that.
You mean the 14%? I agree.
Well to be fair since OP started this thread, the numbers have gone up and it’s 16%. It will probably level off somewhere around 25%.
I personally know a bunch of people who were either on the fence about getting it or intending to get it but put it off and and now that we know a bunch more people getting Covid They are planning to get it. Feel like numbers will go up a little little bit more, but will still be lower than the annual flu rate.
The 14% and 16% are likely overstated. These figures stem from a self-reported NIS telephone survey and do not derive from actual data. Surveys are subject to bias. In this case, respondents will likely feel social pressure to respond in the affirmative and people that did not take the new booster may not complete the survey.
Here’s an example of the biases inherent in self-reported surveys. The Covid States Project was a collaborative effort amongst leading universities.
https://www.covidstates.org/reports/state-of-the-covid-19-pandemic Its survey reported that 21% of adults had received the bivalent booster by early November 2022 (page 16). Yet, when you look at CDC data for the same time period, adult uptake of the bivalent booster was actually 12%.
https://web.archive.org/web/20221116000720/https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-people-booster-percent-pop5 Self-reported surveys are subject to bias, particularly when there is social pressure to respond in the affirmative.
I agree with you on the bias — but disagree with you on the “social pressure”, which might be just as likely to be against taking a new covid shot, or, given the stats you’re reporting, much more likely to be against taking the shot. Without more information, it’s hard to know if the two samples and or populations in the studies that you reported are equivalent, or how relevant the 2022 data is to today.
FWIW, I wanted to get my flu shot and my covid shot a couple of weeks apart, and wanted both of them to be fairly close to the winter months as possible. So, as you report the studies above, I would not have received the covid shot by early November, but actually did get one later — information that wouldn’t have been reflected in either of those studies. I’m not arguing against the findings of either study, just pointing out that, like all studies, they have limitations.