Dude, I am looking for some reliable information. I don't exactly know how you can feel good making assertions based on this data. Your audience is biased and your sample size compared to the world is miniscule (and without backing data, most likely an un-representative sample). And it is people's opinions as to what the cause of death is (some might be right and some wrong, but with your audience, probably skewed). Please explain how this data can in any way correspond to reality. Thanks!
Amazing compilation of information - and a little overwhelming (remember, I'm a moron). I appreciate the links, too. There is a lot here to take in, but a brief look shows a well organized document. Thank you very much!
I never trusted any pharmaceutucal company. From day one, I refused. My body, my decision. Why put something in your body a scientist made that is not natural and not compatable with your own body? My own immuun system kept me healthy for 67 years.
Thank you for posting this, Mr. Kirsch. Becoming more and more apparent that the gene therapy jabs (I will never use that v-word to describe them) are dangerous and ineffective.
Dude, I am looking for some reliable information. I don't exactly know how you can feel good making assertions based on this data. Your audience is biased and your sample size compared to the world is miniscule (and without backing data, most likely an un-representative sample). And it is people's opinions as to what the cause of death is (some might be right and some wrong, but with your audience, probably skewed). Please explain how this data can in any way correspond to reality. Thanks!
We need the charts on the same plot, and normalized to be fractions. It's unclear from this how many deaths are in the various groups.
Easy way to see the lies
Go to google, (I hate google but go there anyway)
open 2 tabs, set no filters, no safe search
one tab set the date range to 1/1/2022 to 1/1/2023 "Died suddenly"
one tab set the date range 1/1/2017 to 1/1/2018 "Died suddenly"
Compare the results
Make a third chart that shows the difference in these categories between vaxxed and not vaxxed.
Doctor Benjamin Eidleman admits boosting Damer Hamlin 12/26/22 Twitterhttps://t.me/theprofessorsrecord/10385
From The Professor's Record Telegram David Clements smart to take a screenshot.
Steve is doing great work- but this important statistic, tragically is overlooked- it's hard to fathom why pregnant women are encouraged to get vaccinated-- given potential harm to their unborn children from these experimental, mRNA jabs (and to themselves): https://www.lifenews.com/2023/01/02/abortion-was-the-leading-cause-of-death-worldwide-in-2022-killing-44-million-people/
Yes overlapping the charts would be self-explanatory.
Amazing compilation of information - and a little overwhelming (remember, I'm a moron). I appreciate the links, too. There is a lot here to take in, but a brief look shows a well organized document. Thank you very much!
Overlap the chart data so that it is visually clear to people the difference.
We need to find out if a higher risk of turbo cancer remains permanently high for the vaxxed or it falls few weeks after the 💉.
Thank you for your service and love!
Wow Steve. Just like I've been saying. So convincing and plain. If only they seeeeeeeeee...
I lost 3 family members shortly after the jab. The other months later. Sudden deaths. Heart attack, stroke
I never trusted any pharmaceutucal company. From day one, I refused. My body, my decision. Why put something in your body a scientist made that is not natural and not compatable with your own body? My own immuun system kept me healthy for 67 years.
Thank you for posting this, Mr. Kirsch. Becoming more and more apparent that the gene therapy jabs (I will never use that v-word to describe them) are dangerous and ineffective.
Do they actually collect the data of unvax versus vax though?