96% of same day anaphylaxis reports in foreign VAERS were published only after PVP analysis

In addition, 7 out of the 8 same day anaphylaxis deaths reported between Dec 2020 and May 2021, were only published after 11th June 2021 (the PVP query date)

Summary:

• Same day Anaphylaxis reactions are clearly attributable to vaccines

• Just like for myocarditis and pericarditis, the anaphylaxis reports in foreign VAERS were also published after a long delay. A large majority of them were published only after the revised PVP analysis was performed

• In fact, 7 out of the 8 deaths associated with anaphylaxis were only published after the revised PVP analysis was performed

• Foreign reports are also often missing the AGE field in the CSV file, making it harder to analyze and cross-verify pharmacovigilance reports with foreign VAERS data

• The CDC stopped publishing the writeups for EU VAERS reports in November 2022, which means independent analysts are not able to get much insight into recent foreign reports

This is the third part of my series analyzing Pfizer’s revised Pharmaco-vigilance Plan (PVP) report by cross-verifying it with VAERS data.

As I pointed out in my previous article, the delay in publishing reports allowed Pfizer to omit around 98% of foreign myocarditis and pericarditis reports which had already been received by the time the PVP analysis was done.

In my opinion, the revised PVP report for anaphylaxis is just as bad as it suffers from the same distortions.

In an article discussing vaccine injury causation, Jessica Rose wrote this (emphasis mine):

This is not proof of causation, but someone would need to come up with some very strong counter evidence to convince me that there’s no cause here. And as usual, I will show anaphylaxis as a positive control. Anaphylaxis is an acute reaction to a trigger. If an anaphylactic event occurs immediately following a shot, no one would debate that the shot was the cause.

Source

I was still quite new to all this stuff when I first read the article. I stored it away in the back of my head because I did not know until reading the article, that there was such a thing as a vaccine reaction which could be unambiguously attributed to the vaccine.

Same day anaphylaxis reports in foreign VAERS

This is how the anaphylaxis VAERS query is described in the revised PVP report.

For the important identified risk of anaphylaxis, VAERS was queried from December 11, 2020 (the date of authorization) to June 11, 2021. The query was run on June 17, 2021 using the PTs anaphylactic reaction, anaphylactic shock, anaphylactoid reaction, or anaphylactoid shock. The search returned 1,034 reports (1,009 U.S. reports), including 524 serious reports; 12 of the serious reports were death reports. There were 167,680,391 doses of the Pfizer-BioNTech Covid-19 vaccine administered in the U.S. as of June 14, 2021. This equates to a crude reporting rate for anaphylaxis of 6.0 cases per million doses. Among the 12 deaths, five individuals were female, six were male, and one was of unknown sex; the median age was 81 years (range= 58-86 years; 3 individuals were of unknown age) and the median onset as calculated by VAERS dates was zero days post-vaccination (range=0-16 days). Nine individuals who died reported various chronic underlying conditions including hypertension, asthma, diabetes mellitus, ischemic cardiomyopathy, myocardial infarction, atrial fibrillation, arrythmia, obesity, sleep apnea, and dementia. Three individuals who died had a history of hypersensitivity to penicillin, contrast imaging, or food/fruit allergy. One individual had a history of COVID-19 one-month prior to vaccination and one individual was diagnosed with concomitant COVID-19 pneumonia and acute hypoxic respiratory failure post- vaccination.

Source: Page 12 of the PVP report

So we already know that same day anaphylaxis can be attributed to the vaccine¹.

So we do the usual filtering again - filter RECVMONTH for Dec 2020 - May 2021

In the SYMPTOMS filter, choose the following:

Under days to symptom onset, choose “Same Day”

Under MANUFACTURER, choose Pfizer.

You will see 616 results.

How many of these reports did Pfizer include in its analysis?

As I mentioned in my previous article, the language used to describe the VAERS analysis is quite imprecise.

First, notice that the PVP analysis could have considered a maximum of only 25 anaphylaxis reports from foreign VAERS (1034 total - 1009 from the US).

A very common representation for this kind of analysis is the Study Design chart you see for clinical trials.

Source

Why didn’t Pfizer create a chart similar to this for its revised PVP analysis?

This is a rhetorical question, of course. Creating one of these charts for VAERS analysis would have required Pfizer to use very precise language in its analysis.

But we can see that there were a minimum² of 616 anaphylaxis reports filed between Dec 2020 and May 2021.

So only 25 out of a possible 616 reports were considered by Pfizer in its analysis.

So 616 - 25 = 591 reports were excluded.

591/616 = 95.9%

In other words, nearly 96% of foreign anaphylaxis VAERS reports were not considered in the Pfizer PVP analysis because they were published only after the analysis date.

Analysis of Published date

Let us do some analysis of the published date for the Anaphylaxis reports.

Do note that unlike the previous article, the date boundaries do not exactly match the dates of the PVP analysis.

For example, the query was run to consider reports until 11th June 2021 for anaphylaxis (it was 21st June 2021 for myo/pericarditis).

But we can still do some approximate calculations since the dates are quite close to each other.

Here are the numbers:

You will notice that the numbers for Anaphylaxis fall into these tranches:

Before 18th May 2021 (Tranche 1): 0.2% (1/616)
18 May - 21 June 2021 (Tranche 2): 1.9% (12/616)
After 21 June 2021 (Tranche 3): 97.9% (603/616)

Now compare this to the Tranche distribution for Death reports overall (explained in the previous article):

Before 18th May 2021 (Tranche 1): 133/3815 = 3.5%
18 May - 21 June 2021 (Tranche 2): 1143/3815 = 30%
After 21 June 2021 (Tranche 3): 2539/3815 = 66.5%

As you can see, just like the myocarditis/pericarditis calculations, there is a big difference between how these numbers are distributed for Anaphylaxis reports vs Death reports.

If you filter for anaphylaxis which caused Death, there are 8 such reports.

And you will see that 7 out of 8 reports were published after 21st June 2021.

But there are also other problems with foreign VAERS reports.

Missing ages

Uncheck the “Died” under OUTCOME.

You will go back to 616 total results.

Let us filter for Germany under the COUNTRY filter.

There are 37 reports.

Now filter for the age range 21 - 30:

There are 10 such reports.

Here is the full list:

24 | M | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1250244&WAYBACKHISTORY=ON

26 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1161325&WAYBACKHISTORY=ON

23 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1151764&WAYBACKHISTORY=ON

27 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1061505&WAYBACKHISTORY=ON

25 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1061499&WAYBACKHISTORY=ON

30 | M | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1038916&WAYBACKHISTORY=ON

27 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1016792&WAYBACKHISTORY=ON

30 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=1014904&WAYBACKHISTORY=ON

25 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=0997402&WAYBACKHISTORY=ON

26 | F | Germany |
https://medalerts.org/vaersdb/findfield.php?IDNUMBER=0971339&WAYBACKHISTORY=ON

Consider the following report:

Link

You will see that even though the age is mentioned in the writeup, the age field in the CSV file was left blank.

In fact, for some reason, this issue is very common in foreign VAERS reports.

And if you open all the 10 reports, you will find that 4 of them are missing the age field.

This means two things:

• aggregate calculations (e.g. median age) on foreign VAERS reports are likely to be wrong

• it is not possible to get an accurate count of the number of young people injured by the vaccine without manually reading these reports³

But it is actually even worse than this (yes, really).

Deleted VAERS writeups

Now unselect the age range to see all reports for Germany.

There will now be 37 reports in total.

Now search for the word “minutes” in the search bar at the top.

You will now see 22 results.

Let us open the 2nd result.

Here is the writeup (emphasis mine):

This is a spontaneous report from a noncontactable physician, downloaded via the regulatory authority (number: DE-PEI-202100034484). A 24-year-old male patient received BNT162b2 (Comirnaty, batch/lot# ER7812), via an unspecified route of administration, on Mar 26, 2021, at the age of 24, single dose, for COVID-19 immunisation. Medical history included ongoing allergy to arthropod sting, allergy to wasp sting and bee sting. The patient''s concomitant medications were not reported. On Mar 26, 2021 the patient experienced anaphylactic reaction, dyspnea, compromised airway, tachycardia/racing heart, localised pruritus, sweating and somnolence; required hospitalization that same day (life-threatening). The patient recovered from all mentioned events 15 minutes after occurrence, on Mar26, 2021. Reporter''s causality assessment: Consistent causal association to immunization (for all events). No follow-up attempts are needed. No further information is expected.

Link

As you can see, everything happened within 15 minutes of vaccination.

Now, if you scroll down the page, this is what you will see:

Here is what the same VAERS report looks like if you did not know how to look for the history of a given report (and most people don’t):

Link

As you can see, this leads to two problems:

• we lost some useful information (did the anaphylaxis happen immediately after vaccination or many hours later?)

• the report looks less authentic because of all the missing values

This happened because the CDC decided to stop publishing the writeups for EU VAERS reports in Novemeber 2022

The foreign data set was gutted this week in VAERS and the cancer signal was halved, the myocarditis dose 3 response signal was lost and 994 spontaneous abortions/still births were dropped

In fact, as you can see from the example above, they even retroactively removed all this information from the CDC Wonder website for reports published before Nov 2022, so you will not be able to search for the text inside of EU VAERS writeups anymore.

This means independent VAERS analysts simply do not have any insight into what is going on with foreign reports anymore.

Does it affect the final results?

When you point out all these discrepancies to the vaccine pushers, they will often ask “But how does that affect the final results”?

I am sure it is going to make the calculations look at least a little worse. At the same time, I don’t know if it changes the entire result because I have not done the calculations.

That’s because my viewpoint on this is simple - medical professionals should vehemently oppose such data obfuscation if they are sure that the mRNA vaccines are safe.

And if medical professionals are not going to demand more transparency from the regulators, they should not be surprised if people completely lose all trust in them!

1. And it certainly helps that there is no such thing as “Asymptomatic Anaphylaxis which might have potentially theoretically possibly happened 1 year back and which magically reappeared 1 minute after vaccination”

2. In my filters I have chosen only anaphylaxis reactions which happened on the same day of vaccination, so the actual number would be a bit higher.

3. You can write some Python code to automatically infer this, which is what I have done. But you will find that it is not 100% accurate, nor does it handle all the possible ways people mention the age in the writeup.

For example, my Python script will not be able to parse sentences like “a 4 decade old patient…”. I can update my script to do this, but these corner cases usually take a lot more time and don’t add a whole lot to the final analysis.