Reverie
Toronto Escorts

New Vaccine Conspiracy Theory: #DiedSuddenly

Knuckle Ball

Well-known member
Oct 15, 2017
6,793
2,787
113
Twitter Has No Answers for #DiedSuddenly
The latest anti-vaccine conspiracy theory is taking off easily on platforms that have no interest in shutting it down.
By Kaitlyn Tiffany
A mock-up of a tweet sent from Truth Warrior displaying a syringe, a skull and crossbones, and several exclamation marks

The Atlantic
JANUARY 24, 2023

Lisa Marie Presley died unexpectedly earlier this month, and within hours, lacking any evidence, Twitter users were suggesting that her death had been caused by the COVID-19 vaccine.

The Twitter account @DiedSuddenly_, which has about 250,000 followers, also started tweeting about it immediately, using the hashtag #DiedSuddenly. Over the past several months, news stories about any kind of sudden death or grave injury—including the death of the sports journalist Grant Wahl and the sudden collapse of the Buffalo Bills safety Damar Hamlin—have been met with a similar reaction from anti-vaccine activists. Though most of the incidents had obvious explanations and almost certainly no connection to the vaccine, which has an extremely remote risk of causing heart inflammation—much smaller than the risk from COVID-19 itself—the idea that the shots are causing mass death has been boosted by right-wing media figures and a handful of well-known professional athletes.

They are supported by a recent video, Died Suddenly, that bills itself as “the documentary film of a generation.” The hour-long movie has spread unchecked on Rumble, a moderation-averse video-streaming platform, and Twitter, which abandoned its COVID-misinformation policy two days after the film premiered in November. It puts forth the familiar conspiracy theory that the vaccines were engineered as a form of population control, illustrated by stomach-turning footage of funeral directors and embalmers removing “white fibrous clots” that “look like calamari” from the corpses of people who have purportedly been vaccinated against COVID-19. (There are also some clips of Lee Harvey Oswald and the moon landing, for unclear reasons.)

Died Suddenly has been viewed nearly 20 million times and cheered on by far-right personalities such as Marjorie Taylor Greene and Candace Owens. It was released by the Stew Peters Network, whose other videos on Rumble have titles like “Obama Formed Shadow Government BEFORE Plandemic” and “AIRPORTS SHUT DOWN FOR EVERYONE BUT JEWS!” And its creators are already asking for donations to fund a sequel, Died Suddenly 2, which promises to explore “deeper rabbit holes.” (Nicholas Stumphauzer, one of the film’s directors, did not respond to questions, other than to say that the production team was motivated by a desire to "stop the globalist death cult.")

Read: Why is Marjorie Taylor Greene like this?

As a meme, “died suddenly” could last a long time—possibly indefinitely. People will always be dying suddenly, so it will always be possible to redeploy it and capture further attention. What’s more, there is a thriving alt-tech ecosystem that can circulate the meme; a whole cohort of right-wing, anti-vaccine influencers and celebrities who can amplify it; and, crucially, a basically unmoderated mainstream social-media platform that can put it in front of hundreds of millions of users—some of whom will make fun of it, but others of whom will start to see something unsettling and credible in its repetitions.

What is most startling about the Died Suddenlydocumentary is not its argument, but the way that people are watching it. “#DiedSuddenly is the first movie to premiere on Twitter since your friendly takeover,” the official Died Suddenly account, @DiedSuddenly_, tweeted at Elon Musk. The account has a blue checkmark next to it—a symbol that used to indicate some kind of trustworthiness but now indicates a willingness to pay a monthly fee. When @DiedSuddenly_ first uploaded the movie in full on Twitter, it was labeled as misleading, in accordance with the COVID-19-misinformation policies that were then in place on the site. But this label was soon removed, on November 23, the same day that Twitter stopped enforcing rules about COVID-19 misinformation—including posts stating that the vaccines intentionally cause mass death.

Twitter, like many platforms, has spent the past decade refining its content-moderation policies. Now it is randomly throwing them out. Jing Zeng, a researcher at the University of Zurich, began her work on Twitter and conspiracy theories in 2018, and she noted a major transformation in response to the pandemic and the rise of QAnon. “Especially since the start of COVID, Twitter had been active in deplatforming conspiracy-theory-related accounts,” she told me. A lot of conspiracy theorists moved to fringe sites where they had trouble rebuilding the huge audiences they’d had on Twitter. But now their time in the desert may be over. “Twitter under Elon Musk has been giving signals to the communities of conspiracy theorists that Twitter’s door might be open to them again,” Zeng said.

The anti-vaccine movement is always poised to take advantage of such opportunities. Absent any moderation on Twitter, anti-vaxxers are once again free to experiment wildly with their messaging, according to Tamar Ginossar, a health-communication professor at the University of New Mexico who published a paper earlier in the pandemic about how vaccine-related content traveled on Twitter and YouTube. “Enough people are sharing this and enough content is being made that it’s taking off,” she told me.

In just a few months, the #DiedSuddenly meme has become a presence on most major social platforms, including Instagram and Facebook. At the end of 2022, researchers and reporters pointed to large Facebook groups dedicated to “Died Suddenly News.” Last week, I was able to join a community that was created in October and had more than 34,000 members. They referred to themselves as “pure bloods” and to vaccines as “cookies” or “cupcakes,” and alternated between mourning “sudden deaths” and gloating about them. And they had been careful to evade detection by Facebook’s automated content-moderation systems: Group administrators asked them to write about “de@ths and injury from the c0v1d sh0ts” and “disguise ALL words that have any medical meaning.” (Facebook removed the group after I inquired about it.)

But “died suddenly” thrives on Twitter. Tweets referencing news stories about unexpected deaths can be flooded with replies trumpeting the conspiracy theory, which go unmoderated. It’s a radical change from the earlier years of the pandemic, during which Twitter implemented new policies against health misinformation and updated them regularly, gradually finessing the wording and clarifying how the company assessed misleading information. These policies and the tactics used to enforce them tightened as the pandemic went on. According to a transparency report the company published in July 2022, Twitter suspended significantly more accounts and removed far more content during the vaccine rollout than during the earliest months of the pandemic, when various groups first expressed concern about dangerous misinformation spreading online.

This isn’t to say that Twitter’s policies were perfect. Journalists, politicians, and medical experts all had issues with how the site moderated content in the pandemic’s first two years. But from 2020 on, parties who were interested in the challenges of moderating health information were able to have a fairly nuanced debate about how well Twitter was doing with this super-convoluted task, and how it might improve. In 2020, a sea-change year for content moderation across the social web, major platforms were pushed by activists, politicians, and regular users to do more than they had ever done before. That year saw the proliferation of election disinformation and Donald Trump’s leadership of a violent, anti-democracy meme army, as well as nationwide protests in support of social justice whose reach extended to the practices of internet companies. And there was a backlash in response: Aggrieved right-wing influencers bemoaned the rise of censorship and the end of free speech; commentators with bad opinions about vaccines or other public-health measures got booted off Twitter and wound up on Substack, where they talked about getting booted off Twitter.

Now we’re in a reactionary moment in the history of content moderation. The alt-tech ecosystem expanded with the launch of Trump’s Truth Social and the return of Parler; the Died Suddenly filmmakers were recently interviewed for a program exclusive to Frank, the supposed free speech platform created by the MyPillow founder and conspiracy-theory promoter Mike Lindell. Some of the alt-tech platforms, including Rumble, saw significant growth by openly marketing themselves as anti-moderation. As I wrote at the end of last year, Rumble grew from 1 million monthly average users in 2020 to 36 million in the third quarter of 2021. The platform used to market itself as a “clean” alternative to YouTube, but its CEO now talks about its aversion to “cancel culture” and its goal of “restoring” the internet “to its roots” by eliminating content guidelines.

And Twitter is backsliding, led by a CEO who has delighted in sharing company documents with critics who held the old COVID-19 policies in disdain. In the “Died Suddenly” Facebook group I joined, commenters praised Musk’s version of the site. “Sign up for Twitter,” one wrote. Those questioning the vaccines used to be “censored earlier by the old Twitter nazis,” but now there is “FREE SPEECH.” “If you want TRUE information … get off Facebook and get on Twitter,” another posted before the group was shut down.

Earlier in the pandemic, researchers like Zeng were concerned about “dark platforms” such as 8kun or Gab, and how their wacky, dangerous ideas about COVID-19 could leach onto mainstream platforms. But now? The difference between alt and mainstream is getting slimmer.




There is literally no end to this nonsense.
☹
 
Last edited:

SchlongConery

License to Shill
Jan 28, 2013
11,023
4,298
113
Just more sophisticated clickbait to keep eyes on these sites to sell the suckers more t-shirts, bumper stickers, supplements, ammunition, freeze-dried prepper foods and bass fishing lures.

All my life I have played it straight and honourable in business. But I gotta admit, I'd just LOVE to get in on this scam and fleece these obnoxious anti-vax fuckwads who believe in this shit.
 

The Oracle

Pronouns: Who/Cares
Mar 8, 2004
23,034
46,148
113
On the slopes of Mount Parnassus, Greece
As someone who pretends to have strong moral fiber, your posts have been getting more insulting and vulgar lately.

Maybe you should take a break and look inside yourself to see where all that anger is coming from?
As soon as I read the term anti vaxxer I'm out to be honest.
 

JuanGoodman

Goldmember
Jun 29, 2019
3,289
2,048
113
As soon as I read the term anti vaxxer I'm out to be honest.
The MSM, including FOX and our esteemed politicians, including Trump have done a great job dividing us and pushing some to the breaking point.

I wonder if we can ever recover from this situation.
 

SchlongConery

License to Shill
Jan 28, 2013
11,023
4,298
113
As someone who pretends to have strong moral fiber, your posts have been getting more insulting and vulgar lately.

Maybe you should take a break and look inside yourself to see where all that anger is coming from?

After a long life of being tolerant and letting things slide I suffer asshole fools less and less. They cause too much harm to others and society. And the internet has made it worse.

As for self-awareness... I have and do continue to learn and grow. I love people, and more people, even more than I ever did. I have studied. experienced and benefitted from psychedelics and ego death etc.

But that doesn't make me see everyone and every aspect of them through rose coloured glasses. An asshole is an asshole.

My morality is not compromised by me not keeping my mouth shut. I'd argue that not speaking up would be more immoral.
 

SchlongConery

License to Shill
Jan 28, 2013
11,023
4,298
113
The MSM, including FOX and our esteemed politicians, including Trump have done a great job dividing us and pushing some to the breaking point.

I wonder if we can ever recover from this situation.
I hope so.

I have been a member of several professional and special interest/hobby forums since they began in the 90's. Made many, many interesting friends. Beginning in the mid-2000's politics began to enter these communities. I tried everything I could to encourage the Mod's to keep politics and religion out of scuba diving (for example) but "Freedom of Speech" won. Now, those forums are a shell of the vibrant communities they once were. Politics are pretty much 45% to 45% left/right. Once politics come into it, the community becomes divided. I'd rather NOT know someone is a Trump supporter.
 

JuanGoodman

Goldmember
Jun 29, 2019
3,289
2,048
113
@JuanGoodman posts a meme (now deleted) of a dead face with a caption about hate flowing through. Rather than repling to my post responding to his post saying I am insulting and vulgar.

The irony is thick.
You replayed too fast, in anger possibly. ;)

I didn't have my post ready before I clicked the red button.

I'm not saying that I know better, you seem like an educated man.

But let me share something with you.

Maybe it will bring a smile in you, even if just for a few seconds. So there will be less time for anger, even just for a few seconds.

Enjoy.

 

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113
Just more sophisticated clickbait to keep eyes on these sites to sell the suckers more t-shirts, bumper stickers, supplements, ammunition, freeze-dried prepper foods and bass fishing lures.

All my life I have played it straight and honourable in business. But I gotta admit, I'd just LOVE to get in on this scam and fleece these obnoxious anti-vax fuckwads who believe in this shit.
Like usual your full of it! Think before you speak!These are the facts!

CDC Finally Releases VAERS Safety Monitoring Analyses For COVID Vaccines


MONDAY, JAN 09, 2023 - 07:25 AM

Authored by Professor Josh Guetzkow via Jackanapes Junction
SUMMARY
  • CDC’s VAERS safety signal analysis based on reports from Dec. 14, 2020 – July 29, 2022 for mRNA COVID-19 vaccines shows clear safety signals for death and a range of highly concerning thrombo-embolic, cardiac, neurological, hemorrhagic, hematological, immune-system and menstrual adverse events (AEs) among U.S. adults.
  • There were 770 different types of adverse events that showed safety signals in ages 18+, of which over 500 (or 2/3) had a larger safety signal than myocarditis/pericarditis.
  • The CDC analysis shows that the number of serious adverse events reported in less than two years for mRNA COVID-19 vaccines is 5.5 times larger than all serious reports for vaccines given to adults in the US since 2009 (~73,000 vs. ~13,000).
  • Twice as many mRNA COVID-19 vaccine reports were classified as serious compared to all other vaccines given to adults (11% vs. 5.5%). This meets the CDC definition of a safety signal.
  • There are 96 safety signals for 12-17 year-olds, which include: myocarditis, pericarditis, Bell’s Palsy, genital ulcerations, high blood pressure and heartrate, menstrual irregularities, cardiac valve incompetencies, pulmonary embolism, cardiac arrhythmias, thromboses, pericardial and pleural effusion, appendicitis and perforated appendix, immune thrombocytopenia, chest pain, increased troponin levels, being in intensive care, and having anticoagulant therapy.
  • There are 66 safety signals for 5-11 year-olds, which include: myocarditis, pericarditis, ventricular dysfunction and cardiac valve incompetencies, pericardial and pleural effusion, chest pain, appendicitis & appendectomies, Kawasaki’s disease, menstrual irregularities, vitiligo, and vaccine breakthrough infection.
  • The safety signals cannot be dismissed as due to “stimulated,” exaggerated, fraudulent or otherwise artificially inflated reporting, nor can they be dismissed due to the huge number of COVID vaccines administered. There are several reasons why, but the simplest one is this: the safety signal analysis does not depend on the number of reports, but whether or not some AEs are reported at a higher rate for these vaccines than for other non-COVID vaccines. Other reasons are discussed in the full post below.
  • In August, 2022, the CDC told the Epoch Times that the results of their safety signal analysis “were generally consistent with EB [Empirical Bayesian] data mining [conducted by the FDA], revealing no additional unexpected safety signals.” So either the FDA’s data mining was consistent with the CDC’s method—meaning they "generally" found the same large number of highly alarming safety signals—or the signals they did find were expected. Or they were lying. We may never know because the FDA has refused to release their data mining results.

INTRODUCTION
Finally! Zachary Stieber at the Epoch Times managed to get the CDC to release the results of its VAERS safety signal monitoring for COVID-19 vaccines, and they paint a very alarming picture (see his reporting and the data files here, or if that is behind a paywall then here). The analyses cover VAERS reports for mRNA COVID vaccines from the period from the vaccine rollout on December 14, 2020 through to the end of July, 2022. The CDC admitted to only having started its safety signal analysis on March 25, 2022 (coincidentally 3 days after a lawyer at Children’s Health Defense wrote to them reminding them about our FOIA request for it).
[UPDATE: T Coddington left a link in comments to a website where he made the data in the Excel files more accessible.]
Like me, you might be wondering why the CDC waited over 15 months before doing its first safety signal analysis of VAERS, despite having said in a document posted to its website that it would begin in early 2021—especially since VAERS is touted as our early warning vaccine safety system. You might also wonder how they could insist all the while that the COVID-19 vaccines are being subjected to the most rigorous safety monitoring the world has ever known. I’ll come back to that later. First I’m going to give a little background information on the analysis they did (which you can skip if you’re up to speed) and then describe what they found.
BACKGROUND ON SAFETY SIGNAL ANALYSIS
Back in June 2022, the CDC replied to a Freedom of Information Act (FOIA) request for the safety signal monitoring of the Vaccine Adverse Events Reporting System (VAERS)—the one it had said it was going to do weekly beginning in early 2021. Their response was: we never did it. Then a little later they said they had been doing it from early on. But by August, 2022, they had finally gotten their story straight, saying that they actually did do it, but only from March 25, 2022 through end of July. You can get up to speed on that here.
The analysis they were supposed to do uses what’s called proportional reporting ratios (PRRs). This is a type of disproportionality analysis commonly used in pharmacovigilance (meaning the monitoring of adverse events after drugs/vaccines go to market). The basic idea of disproportionality analysis is to take a new drug and compare it to one or more existing drugs generally considered safe. We look for disproportionality in the number of adverse events (AEs) reported for a specific AE out of the total number of AEs reported (since we generally don't know how many people take a given drug). We then compare to existing drugs considered safe to see if there is a higher proportion of particular adverse events reported for the new drug compared to existing ones. (In this case they are looking at vaccines, but they still use PRR even though they generally have a much better sense of how many vaccines were administered.)
There are many ways to do disproportionality analysis. The PRR is one of the oldest. Empirical Bayesian data mining, which was supposed to be done on VAERS by the FDA, is another. The PRR is calculated by taking the number of reports for a given adverse event divided by the total number of events reported for the new vaccine or the total number of reports. It then divides that by the same ratio for one or more existing drugs/vaccines considered safe. Here is a simple formula:

So for example, if half of all adverse events reported for COVID-19 vaccines and the comparator vaccine(s) are for myocarditis, then the PRR is 0.5/0.5 = 1. If one quarter of all AEs for the comparator vaccine are for myocarditis, then the PRR is 0.5/0.25 = 2.
Traditionally, for a PRR to count as a safety signal, the PRR has to be 2 or greater, have a Chi-square value of 4 or greater (meaning it is statistically significant) and there has to be at least 3 events reported for a given AE. (This also means that if there are tons of different AEs reported for COVID vaccines that have never been reported for any other vaccine, it will not count as a safety signal. I found over 6,000 of those in my safety signal analysis from 2021.
Of course a safety signal does not necessarily mean there is a problem or that the vaccine caused the adverse event. But it is supposed to set off alarm bells to prompt closer inspection, as in this CDC pamphlet:

Ah yes, shared with the public — after first refusing to share the results and months of foot-dragging following repeated FOIA requests! We will see that the CDC has not done a more focused study on almost any of adverse events with “new patterns” (AKA safety signals).
SO WHAT DID THE CDC ACTUALLY DO?
The Epoch Times obtained 3 weeks of safety signal analyses from the CDC for VAERS data updated on July 15, 22 and 29, 2022. Here I will focus on the last one, since there is very little difference between them and it is more complete. The safety signal analysis compares adverse events1 reported to VAERS for mRNA COVID-19 vaccines from Dec. 14, 2020 through July 29, 2022 to reports for all non-COVID vaccines from Jan 1, 2009 through July 29, 2022.
PRRs are calculated separately for 5-11 year-olds, 12-15 year-olds and 18+ separately. For each age group, there are separate tables for AEs from all reports, AEs from reports marked serious and AEs from reports not marked as serious.2 Recall that a serious report is one that involves death, a life-threatening event, new or prolonged hospitalization, disability or permanent damage, or a congenital anomaly. I will focus on the reports for all AE’s.
They also have a table that calculates PRRs by comparing reports for the Pfizer COVID-19 vaccine to reports for the Moderna vaccine and vice versa, again for all reports, serious reports only and non-serious reports. There were no remarkable findings in those tables, so I will not discuss them. [Edit: I forgot what Norman Fenton noted in his analysis: the overall proportion of reports with serious adverse events is 9.6% for Modern compared to 12.6% for Pfizer.] This isn’t that surprising since both vaccines are very similar and so should present relatively similar adverse events when compared to each other, and any differences are likely not large enough to be picked up by a PRR analysis. [Though the difference in the overall rate of serious adverse events, which are not specific to a particular type of event only how serious it is, was significant.]
The CDC seems to have calculated PRRs for every different type of adverse event reported for all the COVID vaccines examined - though it’s possible they only analyzed a subset. What seems clear is that, among the AEs they examined, the only ones included in the tables satisfy at least one of two conditions: a PRR value of at least 2 and a Chi-square value of at least 4 (Chi is the Greek letter χ and is pronounced like ‘kai’). When both conditions were met, they highlighted the adverse event in yellow, which appears to indicate a safety signal. There were no COVID vaccine AEs listed with fewer than 3 reported events, though for non-COVID vaccines there were many AEs listed that had only 1 or 2 reported since 2009. The CDC tables still include these and highlight them in yellow when the PRR is greater than 2 and the Chi-square value is great than 4, indicating these events are counted as safety signals.
WHAT SAFETY SIGNALS DID THE CDC FIND?
I’m going to divide this up by age groups and the Pfizer v. Moderna comparison. Let’s start with the 18+ group.
There are 772 AEs that appear on the list. Of these, 770 are marked in yellow and have PRR and Chi-square values that qualify them as safety signals. Some of these are new COVID-19 related codes, and we would expect those to trigger a signal since they didn’t exist in prior years to be reported by other vaccines. So if we take those off, we are left with 758 different types of non-COVID adverse events that showed safety signals.
I grouped these 758 safety signals into different categories. The figure below shows the total number of AEs reported for each of the major categories of safety signals:



Let’s dig into some of these categories to look at what types of AEs generated the most number of reports:











 
Last edited:
  • Haha
Reactions: squeezer

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113
You can peruse the adverse events using the Excel tables provided by the CDC, which were posted by The Epoch Times and Children’s Health Defense at the links at the top of this post.

What about The Children?

If there is anything that looks remotely like a bright spot in all of this is that the list of safety signals for 12-17 and 5-11 year-olds is much shorter than for 18+. There are 96 AEs that qualify as a safety signal for the 12-17 group and 67 for the 5-11. When we take out the new COVID-era AEs, there are 92 safety signals for 12-17 year-olds and 65 for 5-11 year-olds. Here are the most alarming ones:




I don’t know why the list of AE’s is so much shorter for these age groups. It could be that the list of AE’s for other vaccines for these age groups is much shorter, so in a case where AEs have been reported for the mRNA COVID vaccines but not for other vaccines, it will not be counted as a safety signal by definition.

COMPARISONS TO MYOCARDITIS & PERICARDITIS
We are told that the existence of a safety signal doesn’t necessarily mean the AE is caused by the vaccine, and I accept that premise. But the current practice seems to be to ignore safety signals, dismiss them as noise without any evidence, and stall any investigation into them as long as possible. The precautionary principle, however, dictates we should presume that a safety signal indicates causality, until proven otherwise. Since, it has been acknowledged that the mRNA COVID vaccines can cause myocarditis and pericarditis (often referred to as myo-pericarditis), we can take those AEs as a kind of benchmark, and propose that, at minimum, any AE with a signal of equal or greater size should be considered potentially causal and investigated more thoroughly.4

After dropping the new COVID-era AEs, there are 503 AEs with PRRs larger than myocarditis (PRR=3.09) and 552 with PRRs larger than pericarditis (PRR=2.82).5 This means that 66.4% of the AEs had a bigger safety signal than myocarditis and 77.3% were larger than pericarditis. You can see what those were by use this Excel file provided by the CDC and sorting the 18+ tab by the 12/14-07/29 PRR column (Column E). Then just look at which AEs have PRRs larger than the ones for pericarditis and myocarditis.

For 12-17 year-olds, there is 1 safety signal larger than myocarditis (it’s ‘troponin increased’) and 14 safety signals larger than pericarditis (excluding myocarditis), which include: mitral valve incompetence, bell’s palsy, heavy menstrual bleeding, genital ulceration, vaccine breakthrough infection, and a range of indicators of cardiac abnormalities.

For 5-11 year-olds, the comparison to myo/pericarditis is less germane, as they seem to suffer less from this side effect. But we can still make the comparison: there are 7 safety signals larger than pericarditis, including bell’s palsy, left ventricular dysfunction, mitral valve incompetence, and ‘drug ineffective’ (presumably meaning they still got COVID). There are 16 safety signals larger than myocarditis (excluding pericarditis), which in addition to those listed above also include: pericardial effusion, diastolic blood pressure increase, tricuspid valve incompetence, and vitiligo. Sinus tachycardia (high heart rate), appendicitis, and menstrual disorder come in just below myocarditis.

Now if we think of a safety signal as having both strength and clarity, then the PRR can be thought of as an indicator of how strong the signal is, while the Chi-square is a measure of how clear or unambiguous the signal is, because it gives us a sense of how likely the signal is due to chance alone: the larger the Chi-square value, the less likely the signal is due to chance. A Chi-square of 4 means there is only a 5% chance the observed signal is due to chance. A Chi-square of 8 means there is only a 0.5% chance of it being due to chance.6

For the 18+ group, there are 57 AEs with a Chi-square larger than myocarditis (Chi-square=303.8) and 68 with a Chi-square larger than pericarditis (Chi-square=229.5). Again, you can see what these are by going the Excel file linked above and sorting on Column D.

For the 12-17 group, there are 4 AEs with a larger Chi-square than myocarditis (Chi-square=681.5) and 6 larger than pericarditis (Chi-square=175.4).

For the 5-11 group, there are 22 AEs with a Chi-square larger than myocarditis (Chi-square=30.42) and 34 AEs with a Chi-square larger than pericarditis (Chi-square=18.86).

RESPONDING TO OBJECTIONS
Let’s dispense with some of the criticisms used to dismiss VAERS data, which will undoubtedly be raised if you try to bring the CDC’s analysis to people’s attention.

  1. Objection: Anybody can report to VAERS. The reports are unreliable. Anti-vaxxers made lots of fraudulent reports. Nobody was aware of VAERS in the past, but now they are. So many people were afraid of the vaccine so they blamed all their health problems on it. Health workers were required by law to report certain adverse events, like deaths and anaphylaxis. Etc. Etc.
    All of these objections ultimately rely on the notion that VAERS reports for COVID-19 vaccines have been artificially inflated over previous years for one reason or another. The thing of it is, though, that the CDC has a method for distinguishing between artificial inflation and real signal. The idea is simple: if adverse events are artificially inflated, they should be artificially inflated to the same degree. Meaning, the PRRs for all of these safety signals should be about the same. But even a casual glance at the PRRs in the Excel file show they vary widely, from as low at 2 to as high as 105 for vaccine breakthrough infection or 74 for cerebral thrombosis. This method does not on the number of reports, but the rate of reporting for certain events out of all events reported. If anything, this method would tend to hide safety signals in a situation where a new vaccine generates a very large number of reports.
    The CDC has even done us the favor of calculating upper and lower confidence intervals, meaning that we can be at least 95% confident that two PRRs are truly different if their confidence intervals don’t overlap. So for example the lower confidence interval for pulmonary thrombosis is 19.7, which is higher than the upper confidence interval for 543 other signals. Artificially inflated reporting cannot explain why so many different adverse events have large PRRs that are statistically distinct from one another.
  2. Objection: The safety signals are due to the huge number of COVID vaccines given out. Never before have we given out so many vaccine doses. By the end of July, the US had administeredsomething like 600 million vaccine doses to people aged 18+. But the CDC analysis compares VAERS reports for these doses to all doses for all other vaccines for this age group since Jan. 1, 2009. But from 2015-2020 there were over 100 million flu doses administered annually to this age group alone. In previous work, I estimated 538 million doses of flu given to people 18+ from July 2015-June 2020. The number of flu and other non-COVID vaccines for this age group administered from Jan 1., 2009 through July 29, 2022 must be well over double this number, meaning VAERS reports for COVID vaccines are being compared to reports for at least double the number of doses for other vaccines. In addition to this, as already noted, the PRR methodology does not depend, strictly speaking, on the number of doses, but rather the rate of reporting of a specific AE out of all AEs for that vaccine.
  3. Objection: the vaccines are mainly being given to older people who tend to have health problems, whereas other vaccines are given to younger people. This objection is dealt with, since the analyses are stratified by age groups. It might be still be somewhat valid for the 18+ group, except that in the safety signal analysis I did in the fall of 2021, I stratified by smaller age bands and still found safety signals. In any case, this objection is not enough to dismiss the safety signal analysis out of hand, but rather calls for better and more refined research.
  4. Objection: The VAERS data is not verified and cannot be trusted. I’ll be the first person to agree that VAERS is not high quality data, but if it is completely untrustworthy, then how is it that the CDC uses these data to publish in the best medical journals such as JAMA and The Lancet? If the data were worthless, then these journals shouldn’t accept these papers. In that JAMA paper, they reported that 80% of the myocarditis reports met their definition of myocarditis and were included in the analysis. Many other reports simply needed more details for validation. Furthermore, the CDC has the ability and budget to follow-up on every report VAERS receives to get more details and even medical records to verify the report.
    So if myocarditis shows a clear signal in the CDC’s analysis, and 80% of those reports were apparently high quality enough to be included in a paper published in one of the world’s top medical journals, how is it possible that all the rest of the reports are junk? That all of the other safety signals are meaningless? Answer: it isn’t.
    And since we’re on the topic of safety signals that turned out to be real, it’s instructive to find appendicitis turn up as a safety signal in all 3 age groups, since a study published in NEJM based on medical records of over a million adult Israelis found an increased risk of appendicitis in the 42 days following Pfizer vaccination (but not following a positive SARS-CoV-2 PCR test). That study also found an increase in lymphadenopathy (swollen lymph nodes) after vaccination, but not after positive COVID test. Lymphadenopathy was another safety signal.
  5. And that brings us to our last objection to be dispensed with: all of these AEs were due to COVID. There was an epidemic and so people were falling ill due to COVID and having all of these problems that were then blamed on the vaccine. Well to begin with, as we just saw, at least two of them (appendicitis and lymphadenopathy) do not appear to have increased risk ratios following a positive SARS-CoV-2 test, and we know that the mRNA vaccines increase risk of myo/pericarditis independent of infections. So how can we assume the rest of these are and dismiss them with the wave of a hand? We can’t. At minimum, they need further investigation. Furthermore, in the safety signal analysis I did in 2021, I dropped all VAERS reports where any sign of a SARS-CoV-2 exposure or infection was indicated on the report, and I still found large, significant safety signals.
PUTTING IT ALL INTO PERSPECTIVE
The Epoch Times article quotes my esteemed colleague and friend, Norman Fenton, Professor of Risk Management and an world renowned expert in Bayesian statistical analysis: “from a Bayesian perspective, the probability that the true rate of the AE of the COVID-19 vaccines is not higher than that of the non-COVID-19 vaccines is essentially zero…. The onus is on the regulators to come up with some other causal explanation for this difference if they wish to claim that the probability a COVID vaccine AE results in death is not significantly higher than that of other vaccines.” (See his post on the CDC analysis here.) The same is true for all the safety signals they found.

The CDC’s VAERS SOP analysis document lists 18 Adverse Events of Special Interest says they are going to pay close attention to. In their 2021 JAMA paper (and similar presentations to ACIP), the researchers responsible for analyzing the millions of medical records in the CDC’s Vaccine Safety Datalink (VSD) using the ‘Rapid Cycle Analysis’ only studied 23 outcomes. A Similar analysis in NEJM from Israeli researchers focused on only 25 outcomes. Compare this to over 700 safety signalsfound by the CDC when they finally decided to look—and that’s not even counting all the adverse events that have never been reported for other vaccines so cannot ever show a safety signal by definition. How can the CDC say that these safety signals are meaningless if almost none of them have been studied any further? And yet we are assured that these vaccines have undergone the most intensive safety monitoring effort in history. It’s complete and utter hogwash!

* * *

Josh Guetzkow is a senior lecturer at The Hebrew University of Jerusalem. Subscribe to his Substack here.

1) To be precise, the 'adverse events' are for 'preferred terms' (PTs) which is a type/level of classification used in the Medical Dictionary for Regulatory Activities (MedDRA), which is the classification system used by VAERS and in other pharmacovigilance systems and clinical research for coding reported adverse events. Not all preferred terms are a symptom or adverse event per se. Some refer to a specific diagnostic test that was done or a treatment that was given.

2) It's not entirely clear how they divided these up, since there are clearly AEs that should be considered serious that don't show up in the serious Excel table — though maybe they don’t come up simply because they are looking within serious reports. I believe that they just filtered the reports to include only serious reports or non-serious reports, then did the safety signal analysis on all the AE's coded in those reports. The reason I think this is that I used the MedAlerts Wayback Machine, selected just the serious COVID-19 vaccine reports, and the numbers of total reports was very close to the one in the table provided by the CDC (MedAlerts actually had a bit less). The files obtained by the Epoch Times do not include much in the way of a description as to how the analyses were done, so I had to infer some details, which might be incorrect. I will try to note when I am drawing an inference about how the analysis was done.

3) Generally speaking, these figures show the top ten AEs in each category. In some cases I combined AEs that indicated the same thing, such as combining ‘heart rate irregular’ with ‘arrythmia.’ [UPDATE: Note that the charts of all categories, cardiac and thrombo-embolic events were updated on Jan 7, 2023. The reason is that I had previously categorized acute myocardial infarction as a cardiac issue and myocardial infarction as thrombo-embolic. To be consistent, I have now combined myocardial infarction and acute myocardial infarction into one AE category in the thrombo-embolic events (which made the total AEs reported for that category larger than for pulmonary ones) and then added a different cardiac AE to the cardiovascular AE category, ventricular extrasystoles, AKA premature ventricular contraction (PVC), which dependent on frequency and the presence of other cardiomyopathies is associated with sudden cardiac arrest.]

4) Note that using the myo-pericarditis signal as a yardstick doesn’t mean that these are the only signals that matter. To give one example, anaphylactic reactions don’t even show up in the list of safety signals, even though that was one of the very first risk of the vaccine that became apparent from day one of the vaccine rollout.

One potential objection to this benchmark is that it is too low of a bar, since myo-pericarditis appears to disproportionately affect younger men and so a proper safety signal should be stratified by age and gender then compared with myocarditis similarly stratified. I agree, and it is the CDC’s job to do that. But the fact is that any adverse reaction might disproportionately affect some subgroup of people, in which case the safety signal for that group would be similarly faint or diluted when we look at everyone together. So objection overruled.

5) In their Standard Operation Procedures document, the CDC said they would combine these and related codes together to assess a safety signal, but never mind – at least they finally got around to doing something.

6) In this context, the Chi-square is largely driven by the sheer number of adverse events: the more adverse events reported, including for the comparator vaccine, the larger the Chi-square. For example, the PRR for pericarditis and subdural haematoma is the same (2.82), but there were 1,701 incidents of pericarditis reported for mRNA COVID vaccines versus 221for the comparator vaccines, with Chi-square of 229.5. For subdural haematoma, these numbers are 162 verus 21, for a Chi-square of 21.2
 
Last edited:

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113

They Promised "Safe And Effective"; We Got "Sudden And Unexpected"
Authored by Mark Jeftovic via BombThrower.com,

We’re one tragedy away from pitchforks & torches…
“No one must ever ask where another rabbit was, and anyone who asked ‘Where?’ – must be silenced.”
In the story Watership Down a group of rabbits flee their home warren of Sandleford, ahead of its imminent destruction at the hands of real estate developers. They set out looking for a safe, new home and among their adventures they encounter another warren called Cowslip. There, all the rabbits are uncharacteristically large, affable and seemingly well fed. For awhile, the Sandleford rabbits think they’ve found a safe haven.

There’s only one problem: every once in awhile one of the the rabbits goes missing. It turns out the entire warren is on a farmer’s land who feeds and otherwise takes care of them, but then sets out snares and traps them from time to time for their pelts.

There is only one rule at Cowslip’s Warren, nobody is allowed to ask or talk about any of the missing rabbits.


I want everybody reading this to think of two numbers from asking you two questions:

Question #1) How many people do you know who died of COVID?
I first started hearing rumblings of a new Coronavirus emerging out of China in January 2020 (although it looks now like COVID was already circulating throughout the world by mid-2019).

When I got wind of it, I was emailing friends and colleagues to get N95 masks and to stock up on groceries and medications. It looked bad. By February I was probably one of the first people seen around town wearing an N95 mask. In March I started running a spreadsheet using R0, fatality rates and case-doubling times that were coming out of the CDC, the WHO, and shrieking hysterics like Eric Feigl-Ding:




The famous “HMOG Tweet”.

The screen grab above is the famous “Holy Mother Of God” tweet, which is sometimes speculated as having rang the bell beginning the global COVID panic. Feigl-Ding refers to it himself as a seminal moment, and he’s also since deleted the tweet. It is archived here.

He’s still at it, btw…


When it was all unfolding, I was initially afraid. My rough model posited that by the end of May we’d have 442,368 cases with as many as 22,118 fatalities and that was just in Toronto. By the end of July, 1.7 million cases and 88,473 fatalities.

I laid out previously what happened and what turned me into a lockdown skeptic: every day I’d plug in the new case and fatality numbers from the city, the province and federal levels and by the end of May I realized that my model was bust. By fall I knew that case numbers were bullshit (it didn’t matter how many people tested positive on a PCR test) and that lockdowns were a bigger problem than the virus.




There weren’t going to be 88K fatalities across the entire country, let alone Toronto (the official fatality count now for all of Canada is 49.5K – and we also now know that most of those, upwards of 90%, were with COVID and not from COVID. Toronto had about 3.7K total fatalities in over two years).

I naively thought this was good news. Surely everybody was looking at the data and surely everybody could see by mid-summer, that even adjusted for seasonality and expecting another wave in the fall, this was nowhere near the THERMONUCLEAR LEVEL EVENT certain prognosticators were promoting.

We all know what happened instead: by fall it had become a full fledged religion and well on its way to mass formation psychosis.

But in the early innings of that, when it looked really bad, I figured it meant that probably about once per week we’d be hearing about somebody within our extended family, circle of friends or colleagues who would die from this. Ditto for celebs, the evening news would be saturated with odes and tributes to noteworthy people who were just felled by COVID. Maybe one or more of my immediate family would die from this. Maybe I would. It was scary.

From our vantage point here in early 2023, I can only think of three celebrities who died with COVID: John Prine, Herman Cain, and much to the delight of the zerocovid lunatics: Meatloaf.

On January 1st, 2022 I surmised that the pandemic was mostly over. During the main run of COVID I did lose about four people within my social circle, none from COVID or even with COVID. That figure doesn’t count another two people I knew about in my area who committed suicide under lockdowns.

So without diminishing the tragedy of any of those 49K Canadians who succumbed with COVID, my number for the first question is zero.

Question #2) How many people do you know who died “suddenly and unexpectedly” over the last 18 months?
Recall how I was expecting to be hearing at least once a week about relatives, acquaintances and colleagues that had died from COVID, but instead didn’t hear anything.

However, when it comes to relatives, friends and acquaintances who have suddenly and unexpectedly dropped dead of a heart attack or some other unanticipated medical event, over the last year to 18 months or so… well that’s a different story.

Three. That’s people in my phone contacts. People I was talking to one day or one week and who were dead the next, add one more for someone I knew from yesteryear who was suddenly and unexpectedly a trending hashtag on Twitter. None of these people were fighting a terminal diagnosis or dealing with “The Big C”. They were just running around, living their lives, and then they weren’t.

Before COVID, before the vaccines, there was always the odd account of somebody dying unexpectedly – maybe one every couple of years. As you age, more people you know pass away, but usually there’s an arc to it: a diagnosis, a treatment, then the passing. I knew one person who died “suddenly and unexpectedly” in January 2020, and it was the first sudden death in my circle in years.

I’m no statistician, but four people I know personally joining the ranks of the “sudden and unexpected” (three of them coronaries), within the span of a little over a year… well that seems a little weird. The reason I think these all have a common thread through them, is three of the four of these people, I would describe as ideologically committed to COVID. They all had their doses and in most cases, their boosters. One I’m unsure of, so all I have there is the sudden massive heart attack.



In my case, the number for the second question is four.

Which of your numbers is bigger?

When will the corporate media face the music?
In the curious case of the corporate media we have an inversion of sorts which points at a type of hyper-normality in the world (the prevailing official narrative is so absurd and obviously untrue that it takes an act of intentional neurosis to believe it).

I remember when COVID hit, here in Canada there was this one video clip of a body being taken out of a house as announcers breathlessly hyperventilated about the spread of the virus. It was the same video clip and it was reused for weeks, months even.

What is the MSM not amplifying?

They are dutifully ignoring the wave of sudden deaths among our youngsters, children and even middle aged adults. We have video montages circulating on Youtube and Rumble of the endless barrage of people dropping during live streams and sporting events, but for some reason these aren’t being run on endless loop up by the MSM.

In the last few months this tempo of young adults dying suddenly seems to have quickened, and a requirement for being vaccinated or even boosted seems to be a common factor across many of them.

The phenomenon of athletes dropping on the field gives us a bit of a petri dish, because nearly all organized sporting leagues implemented a vaccine requirement on its athletes in order to participate.

I don’t want to cycle through the litany of victims of these tragedies. If you search them up via Google you’ll just get first page results of Reuters funded “fact-checks” explaining why the vaccines have nothing to do with it, or MSM pieces blaming this epidemic of “Sudden Adult Death Syndrome” on climate change and kids having heart attacks from playing video games.


Siri? Explain “gaslighting”

If you can wind your way through all the fact-checks and debunking, you can find the odd mainstream piece that actually looks at the possibility. In September, Science Magazine almost grudgingly admitted,

“COVID-19 vaccines do have a rare but worrisome cardiac side effect. Myocarditis, an inflammation of the heart muscle that can cause chest pain and shortness of breath, has disproportionately struck older boys and young men who received the shots. Only one out of several thousand in those age groups is affected, and most quickly feel better. A tiny number of deaths have been tentatively linked to vaccine myocarditis around the world. But several new studies suggest the heart muscle can take months to heal, and some scientists worry about what this means for patients long term. The U.S. Food and Drug Administration (FDA) has ordered vaccinemakers Pfizer and Moderna to conduct a raft of studies to assess these risks.”
Baseless, my ass.

If you want to look at some actual data on Vaccine Adverse Event Reporting or actuarial data coming out of insurance companies, or actual peer reviewed research papers, or absolute excess mortality data comparing Covid to vaccine deployment, I would recommend Edward Dowd’s “Cause Unknown”, which is a depressing read. From it we can just pull some raw data that presents a pretty compelling case that no matter what is really happening, ignoring it is an act of journalistic malpractice:




Via OpenVaers.com

We know now via the various Twitter Files dumps that Big Tech has been taking their orders from the government, intelligence agencies and Big Pharma (a.k.a The Pharmatrocracy) all along. Should we just assume the corporate press has been as well?

This would explain why instead of undertaking Watergate level investigative reporting into legions of children, athletes and young adults suddenly dropping dead or having heart attacks, strokes and other medical emergencies, live on the air; we’re getting gaslighted about childhood asthma from natural gas stoves.
 
Last edited:

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113

I have been wondering if it is possible that the perceived increase in these reports of sudden deaths is the result of a self-perpetuating loop of increased focus on these events. A kind of hysteria of its own. This is why since the onset of COVID, I’ve always tried to find numbers and data – then I follow that data where it leads me. Often times it’s not the same place as what I’m seeing on the television screen.

Anybody can look at a graph, and provided that the data is kosher, see when something is out of whack.


This one is out of Dowd’s book and sourced with CDC data is the aggregate excess mortality rate for millennials since before the pandemic.

We know that the survival rate from COVID goes up dramatically as age comes down. The vast majority of COVID fatalities were in our elderly (many of whom were forced into localized outbreaks where they died locked down and alone).

Two things stand out:

#1) The excess death rates spike higher as the vaccines deploy, reaching their highest when mandates kick in
#2) The trend line is going the wrong direction.
Since the vaccine rollout started, the narrative around them shifted quite radically. Here’s another graph from Cause Unknown, I added the annotations (somewhat off-the-cuff, I will admit, but the overall beats are 100% accurate):


It’s the deaths attributed to COVID before and after the rollout. The vaccines were supposed to effectively drive that to zero. These shots were pitched to the public as a magic bullet, the original announcements were of “95% efficacy” (on a virus we knew by then, had a 99.95% survival rate).



It turns out now, that not only does the vaccine not confer immunity (it was more expedient to change the meaning of the word “vaccine” instead), they didn’t even test if it reduced transmission (if you try to search up either of these, you just get more pages of “fact check” articles admonishing you that whatever it is you’re looking for, it’s a nothing-burger….)



Thanks, Fact Checkers.

The entire point of the vaccine mandates
was the premise that “the vaccines stopped transmission”. Everybody said this. They are now telling you they didn’t say this, and the media, with the complicity of Big Tech are telling you it never mattered.

How can anybody be faulted for not knowing what to believe or who to trust?
With the conventional narratives being so ephemeral and one “conspiracy theory” after another being validated (lockdowns, lab leak, vaccine passports…) is it any wonder people are becoming skeptical or outright distrustful of our institutions and media?

The tempo of sudden deaths and tragedies seems to be quantifiably increasing, but policy makers, pundits and the media are mostly doubling down on vaccinations.

This article claims that before 2021 the average annual number of athletes collapsing on the field was 29, and that since 2021 that’s blown out to 1,652 (and counting). For the sake of balance, here’s the AP Fact Check telling you “there’s nothing to see here”, saying, this number “simply cites a blog, goodsciencing.com, for that figure”.




The GoodSciencing article itself derives that number from media reports of each individual incident – and has a footnote with an attribution and a link for every one, all 1,652 of them.

We’re one tragedy away from pitchforks and torches
The disconnect between what the average person on the street is seeing happen right before their eyes and what they’re being told is happening (or not happening) by paternalistic fact-checking media propagandists will soon come to a breaking point.

The only thing that can stop it is for some policymakers and pundits to start throwing the engine brake and try to get out in front of what will be an inevitable public backlash. My fear is this won’t happen.

There is too much invested: the entire regime of Digital IDs and health passports was to be built atop the COVID vaccine deployment. Vaxports were supposed to be the official lubricant of The Great Reset. If it turns out that these things are not only ineffective but harmful, it will set The Fourth Industrial Revolution back decades.

It’s going to take a long time to rebuild public trust and probably not while any incumbents are still in office.

There are glimmers of rationality returning, where we are beginning to see some institutions reverse course instead of doubling down:

  • My alma mater, University of Western Ontario unexpectedly scrapped their vaccine mandate a few weeks after two students died suddenly in October and November. UWO not only required students to be vaccinated in order to attend on-campus classes, they even required at least one booster.
  • The US military ended all vaccine mandates last week.
  • York Region (part of the Greater Toronto Area) also ended their vaccine mandate last week. The City of Toronto this past November.
What I hope is that the tempo of this return to rationality accelerates, and mandatory vaccines are a thing of the past. Otherwise the risk increases that some kind of “George Floyd” moment occurs first. That’s when a particularly vivid tragedy strikes for all to see and it ignites the pent-up resentment, distrust and hostility into outright rage.

That won’t be good for anybody. We know what happened when the French people were told “to eat cake” until they hit a breaking point. The Terrors. Nobody was safe, the violence was undiscerning and total.

The choice we have today is between a complete moratorium on vaccine mandates and some kind of “truth and reconciliation” process to try and earn back the public trust, or something that more closely resembles pitchforks and torches (not to mention guillotines).

I think we’d all prefer the former.

PS. Libtard like SchlongConery is proven wrong again and again and again! He have no idea what he talking about when !!! Think before you speak!
 
Last edited:

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113
According to the paper published on Dec. 10, 2020 in the New England Journal of Medicine studied the safety and efficacy of Pfizer’s BNT162b2 mRNA Covid-19 vaccine. Of the 18,325 unvaccinated people, there were 162 symptomatic infections. The infection rate was 0.88 percent. Among the 18,198 vaccinated people, there were 8 infections. The infection rate was 0.04 percent. Then it concluded that “the vaccine was 95% effective in preventing Covid-19.”

The Truth About ‘95% Effectiveness’: 95 out of 100 Protected?
In terms of the vaccine’s effectiveness, news reports around the world claim that the vaccine is “95 percent effective.” Most doctors explain to the public that “if 100 people are vaccinated, then 95 will be protected from infection.”

But that is not the case at all.

However, most people overlooked the fact that 99.12 percent of the population was not infected despite being unvaccinated.

For the total population, the vaccine actually protects only 0.84 percent of the population, which is the real absolute protection rate.

So the real “absolute protection” is out of 10000 people vaccinated, only 84 people (0.84%) will be protected, but not the 95 out of 100 people will be protected, which is a relative protection.

Had we known the facts of absolute protection, would we have worried about creating a vaccine so much? We would not have such high hopes that a vaccine would resolve the pandemic. The vaccine mandate would not be so solid at the beginning.

Instead, we would be more rational to seek natural ways to boost immunities so as to prevent the virus in a more feasible and easy way.

Read more here...
 
Last edited:

Addict2sex

Well-known member
Jan 29, 2017
2,400
1,211
113
On the plus side I took both shot Of Oxford-astrezenca vaccine. Which is a good things prefer not to wait for unproven mRna vaccine . I figured my body or my immune system will recognize the whole body of covid19 virus then just the damm structure of the spike protein and become better adapted to it. I knew the spike protein will always mutate! Recognize the whole virus that mean the complete whole structure of the body and all the spike proteins offer a complete better defence for my immune system to recognize any future mutations of covid19 . Then taking initially rushing to take the the mRNA vaccine with the spike protein that is protein synthesized by the body mRNA ! Second Best decision I made! God help all those people who took mRNA vaccines… hopefully their body immune system can adapt and initially fight off mRNA spike proteins without permanently damage or some kind of damage to their body. That includes all those idiots libtards… hopefully they will learn their lesson. Which I highly doubt it. Protecting their own tribes and not questioning their own tribes with their double standard gives me no hopes that they will come to their senses! In 5 or ten year from now we will know the Long term implications of mRNA vaccines we volunteered taken.
 
Last edited:
  • Haha
Reactions: SchlongConery

squeezer

Well-known member
Jan 8, 2010
17,885
12,294
113
On the plus side I took both shot Of Oxford-astrezenca vaccine. Which is a good things prefer not to wait for unproven mRna vaccine . I figured my body or my immune system will recognize the whole body of covid19 virus then just the damm spike protein and become better adapted to it. Then taking initially rushing to take the the mRNA vaccine with the spike protein that is protein synthesized by the body mRNA ! Second Best decision I made! God help all those people who took mRNA vaccines… hopefully their body immune system can adapt and initially fight off mRNA spike proteins without permanently damage or some kind of damage to their body. That includes all those idiots libtards… hopefully they will learn their lesson. Which I highly doubt it. Protecting their own tribes and not questioning their own tribes with their double standard gives me no hopes that they will come to their senses! In 5 or ten year from now we will know the Long term implications of mRNA vaccines we volunteered taken.
My first shot was AZ, then Moderna Boost, then Pfizer boost and then last back to Moderna bivalent boost and I feel like a rock star. I've thrown out all my Blue pills and the ladies recognize me nicely from the glow of my skin plus love me because I offer tasty cricket pastries and Reg Bug wine. MMMM mmmmm.....
 
Toronto Escorts