The vaccines are obviously safe, but can someone explain 2021 data from openvaers?
Or maybe we should ignore data in the interest of science.
this post was submitted on 01 Nov 2021
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I am just asking for explanation of the data. If you have to involve covid vaccines specifically, that is your call. I am ok with any good explanation that holds.
More than half of US population gets flu shots annually.
I am sure you can think of something more relevant.
Does the flu shot have a risk of myocarditis?
Yes!
In fact it is compared with covid vaccines on the link in the opening post.
Yes!
In fact it is compared with covid vaccines on the link in the opening post.
Mind explaing how that matters here? An ELI5 ?
So your argument is that we are exposing people to some different vaccines this year and that could be causing the anamoly in side effects database of 2021?
What else is needed to reach those conclusions? Keep in mind, that much less has been required to publish reports of efficacy of vaccines, for most of the already published articles.
The source is a government source and like a typical government source, it strives to maintain main government line throigh those disclsimers.
Also, number of doses administered is quite public data and coupling that with VAERS data isn't particularly complicated. If you think it gives a picture favourable to vaccines, maybe find some academic work that proves that? If you can't find such work in public domain, maybe try doing it yourself?
I am not implying there is an anomaly. There is an anomaly, I am asking for explanation.
As I said, this data is available easily.
How is this low? Typical safe vaccines have less than 10 adverse events per million doses administered, over long term observation.
Scroll down the link. This is written on this page: However, recent reports indicate a plausible causal relationship between the J&J/Janssen COVID-19 Vaccine and TTS, a rare and serious adverse event—blood clots with low platelets—which has caused deaths pdf icon[1.4 MB, 33 pages].
I am not sure why you are wasting space with these questions. To humour you, I need a clarification from your side:
Which one is it?
EDIT : typos, grammar fixes
The amount of spoonfeeding you need is an anomaly in itself. Here, definition of the word from :
a·nom·a·ly (ə-nŏm′ə-lē)
n. pl. a·nom·a·lies
Now check the graph again.
They obviously are a bad faith actor, so many replies and they weren't even willing to make a proper claim.
Ok I thought so, but wanted to say it for others who will read this :D
So you are here not to discuss the data but to do your prejudiced advocacy of vaccines, regardless of what your actual findings are. How are your own actions, not in bad faith?
Your claim that there is no anomaly amounts to claiming that the data of 2021 is in line with other data in the chart. Even a 13 year old can see that that is not the case just by looking at the chart.
I even posted dictionary definition of the word anomaly, but it seems many have lost the ability to understand from that and somehow faith becomes the central issue.
Is medical science a religion now?
Is that all you need me to chant or some chants of "praise the lord" will also be needed after this?
The claim is simple enough : there is a chart summarizing some data where one value doesn't fit the pattern. An anomaly. The reason for its existence is sought.
I agree with you that the issue is with faith. A rational mind wouldn't jump so many hoops to deny the existence of anomaly as some of the folks here.
EDIT : slight altering of sentences for clarity; fixed typos.
I'd like to see just one "rebuttal" that makes sense or even rationally holds together.
I am yet to prove anything either way, and this must have been clear to anyone interacting in good faith. I could even refer you to dictionary definition of proof, but your capacity to benefit from that exercise is questionable.
You keep on saying "flawed data." "Flawed data." Like it will magically make things good.
VAERS data has been used to detect unsafe vaccines since ages. No new factor lowering quality of data has been reported for current vaccines. There is no inherent reason to believe that VAERS data is not pointing in the right direction, except the fact that official line is to be reluctant to criticize any COVID vaccine for any reason.
If you can't find good arguments, just say so.
That has nothing to do with wether there is a problem in this case or not.
How many cases did the vaccines cause before this year? What was the pre COVID value of X?
And you fail to explain every time why should that matter when the data being analyzed is aggregate of all vaccines.
What exactly is different about covid vaccines? Why should they be seggregated from other vaccines for your purposes?
How is this a good argument?
Every vaccine is a different vaccine when it is first developed. Has a different reaction. You appear to be saying the same thing about covid vaccines.
Since each vaccine is different and has different reaction, vaccines are tested over years, sometimes decades, before they are labelled safe. I recall reading about a vaccine which was found to be causing fatal side effects after 27 years of examining, and officially stopped only after that.
Since mRNA is an untested technology, a rational mind would ask more questions about it, not less. Seek answers. To accept it on basis of faith without due testing, due questioning, and due skeptical thought is textbook example of cult behaviour.
We aren't against asking more questions. Especially people in the field should totally investigate if the vaccines are safe. They currently think that they are safe though, so that's my opinion as well.
Until 1990's, argument from authority was automatically disqualified as an argument. Unless you defend what these "people in the field" are saying, you are commiting a logical fallacy.
We're not vaccine experts, like I couldn't ELI5 how different medication differs...
Since when have statistical observations required medical expertise?
That totally depends on the issue.
Are you one of those who believes that science is subjective, like politics?
No.
Then comment on the statistics objectively, rather than taking one side on the issue.