An investigation of data found in the USA’s Vaccine Adverse Event Reporting System (VAERS) has revealed that extremely high numbers of adverse reactions and deaths have been reported against specific lot numbers of the Covid-19 vaccines several times, meaning deadly batches of the experimental injections have now been identified.
But what’s perhaps more concerning is that the “deadly” lots were distributed widely across the United States whilst other “benign” lots were sent to just a few locations.

The data used in the investigation was pulled from the publicly accessible VAERS database which can be viewed here. The Vaccine Adverse Event Reporting System (VAERS) is a United States programme for vaccine safety, co-managed by the U.S. Centers for Disease Control and Prevention (CDC) and the Food and Drug Administration (FDA).
The programme collects information via reports made by doctors, nurses, and patients about adverse events (possible harmful side effects) that occur after administration of vaccines to ascertain whether the risk–benefit ratio is high enough to justify continued use of any particular vaccine.
The reports pulled from the database were ones that had been submitted up to October 15th 2021 and they included all adverse reactions reported against the Pfizer and Moderna mRNA Covid-19 injections, as well as all adverse reactions reported against the influenza vaccines; which were used to generate a control dataset .

The VAERS database showed a total of 1,608 adverse event reports against the flu vaccines alongside 15 deaths and 73 hospitalisations. The total count of lot numbers returned was 494.
The ‘lot number’ is a specific string of numbers and letters that tracks a specific batch of vaccine from production and into a persons arm and it is usually found on a vaccine label or accompanying packaging.

The above chart shows the number of adverse event report made to VAERS against the influenza vaccines sorted by the lot number of vaccine that was administered prior to the adverse event.
Except for a few spikes the number of adverse events per lot number was generally the same, with no more than 26 reports being made against a single lot number of influenza vaccine.

The above charts shows the count of lots by number of reports of adverse reactions per lot for the influenza vaccines. It shows that 33% of the lots (165 / 494) only had a single adverse reaction report made against them, whilst just 0.6% of the lots (3 / 494) had at least 20 adverse reaction reports made against them.

The above chart shows how many times a specific lot number was identified in an adverse reaction report of which the person had died following vaccination against the Flu. Ninety-seven-percent of the lots (480 / 494) were associated with zero deaths, whilst 13 lots were associated with a single death and 1 lot was associated with 2 deaths.

The above chart shows the number of states within the USA a specific log number of the influenza vaccine was distributed to.
The VAERS data shows that 44% of the lots (219 / 494) were sent to just a single state within the USA, whilst a further 17% (86 / 494) were sent to 2 states, 10% (50 / 494) were sent to 3 states, 5% (24 / 494) were sent to 4 states, 3% (17 / 494) were sent to 5 states, 2% (11 / 494) were sent to 6 states, and just 0.4 (2 / 494) were sent to 12 states within the USA.
All of the above data was then used as a control dataset to compare against VAERS data for the Pfizer and Moderna mRNA Covid-19 vaccines.

The VAERS database showed a total of 171,463 adverse event reports against the Pfizer Covid-19 vaccine alongside 2,828 deaths and 14,262 hospitalisations. The total count of lot numbers returned was 4,522.
This data alone shows that there have been 106 times as many adverse reactions, 189 times as many deaths, and 195 times as many hospitalisations due to the Pfizer Covid-19 jab than there have been due to all other influenza vaccines combined.

The above chart shows the number of adverse event reports made to VAERS against the Pfizer Covid-19 vaccine sorted by the lot number of vaccine that was administered prior to the adverse event. We do not have reliable information about standard lot size, but news articles indicate an average lot size of 1000 vials (approx. 6000 doses).
The highest number of adverse event reports made to VAERS against a single lot number of the influenza vaccine was 26. Which makes it all the more shocking to discover that the highest number of adverse event reports made to VAERS against a single lot number of the Pfizer Covid-19 vaccine up to October 15th 2021 was 3,563, and this isn’t an anomaly.
Thousands of adverse event reports have been made against a single lot number of the Pfizer Covid-19 vaccine numerous times, and unfortunately the Moderna Covid-19 vaccine hasn’t fared any better.

The VAERS database showed a total of 188,998 adverse event reports against the Moderna Covid-19 vaccine alongside 2,603 deaths and 10,225 hospitalisations. The total count of lot numbers returned was 5,510.
This data alone shows that there have been 118 times as many adverse reactions, 174 times as many deaths, and 140 times as many hospitalisations due to the Moderna Covid-19 jab than there have been due to all other influenza vaccines combined.

The above chart shows the number of adverse event reports made to VAERS against the Moderna Covid-19 vaccine sorted by the lot number of vaccine that was administered prior to the adverse event, and it shows that the Moderna jab fared even worse than the Pfizer jab in this department with the highest number of adverse event reports against a single lot number of Moderna Covid-19 vaccine totalling a staggering 4,967.

The above chart shows the count of lots against the range of adverse events reported per lot of Pfizer Covid-19 vaccine. The data reveals that 2,908 lots (64%) had just a single adverse event report made against them, whilst 2 specific lots had over 3000 adverse event reports made against them.
Shockingly we can also see from the data that 30 lots of Pfizer vaccine had between 1,000 and 1,499 adverse event reports per lot, another 20 lots had between 1,500 and 1,999 adverse event reports per lot, and another 23 lots had between 2,000 and 2,499 adverse event reports per lot.
This suggests that there were a small quantity of dangerous batches of the Pfizer Covid-19 vaccine and a large quantity of seemingly harmless (at least in the short term) batches of the Pfizer Covid-19 vaccine.

But the investigation of VAERS data also revealed that reported deaths due to the Pfizer vaccine were again only associated with certain batches of the jab. The chart above shows that 96% of the lots of Pfizer vaccine had zero death reports made against them. Meaning the 2,828 reported deaths were associated with just 4% of the lots of Pfizer vaccine.
Five lot numbers were associated with 61-80 deaths each, a further 5 lot numbers were associated with 81-100 deaths each, and just 2 separate lot numbers were associated with over 100 deaths each.

The same can be seen for the Moderna Covid-19 vaccine. Ninety-five-percent of the lots of Moderna vaccine had zero death reports made against them. Meaning the 2,603 deaths were associated with just 5% of the lots of Moderna vaccine.
Thirteen lot numbers were associated with 41-60 deaths each, 2 lot numbers were associated with 61-80 deaths each and 1 lot number was associated with 81-100 deaths.
The investigation of VAERS data also found that specific batches of the pfizer and Moderna Covid-19 vaccines which were distributed to between 13 and 50 states across the USA had an unusually high number of adverse event reports and deaths compared to lots that were distributed to 12 states or less across the USA

As you can see from the above table 4,289 different lots of Pfizer vaccine were distributed to 12 states or less across the USA, recording 9,141 adverse event reports against them alongside 99 deaths and 657 hospitalisations. This equates to an average of 2 adverse event reports per lot and 0 deaths and hospitalisations.
However, a further 130 different lots of Pfizer vaccine were distributed to between 13-50 states across the USA, recording 166,170 adverse event reports, 2,799 deaths, and 14,155 hospitalisations. This equates to an average of 1,278 adverse event reports per lot number, alongside 22 deaths and 109 hospitalisations.
This data therefore shows that each lot from the 130 different lot numbers of Pfizer Covid-19 vaccine distributed to more than 13 states, harmed on average 639 times more people, hospitalised on average 109 times more people, and killed on average 22 times more people.

The above chart on the left shows the number of adverse event reports by lot number sent to 13 or more states across the USA. This chart has identified the actual lot numbers of Pfizer vaccine that have caused the most harm in the USA. The most harmful of which is lot number ‘EK9231’; causing over 3,500 adverse event reports.

The above chart on the left shows the number of deaths reported as adverse reactions to the Pfizer vaccine by lot number sent to 13+ states across the USA. This chart has identified the actual lot numbers of Pfizer vaccine that have caused the most deaths in the USA. The deadliest of which is lot number ‘EN6201’ causing almost 120 deaths.

The above chart on the left shows the number of adverse event reports against the Moderna vaccine by lot number sent to 13 or more states across the USA. This chart has identified the actual lot numbers of Moderna vaccine that have caused the most harm in the USA. The most harmful of which is lot number ‘039K20A’; causing over 4,000 adverse event reports.
The second most harmful batch of Moderna vaccine was assigned lot number ‘041L20A’, and media reports show that it was actually recalled by the Orange County Healthcare Agency in January 2021 following reports of allergic reactions.

The above chart on the left shows the number of deaths reported as adverse reactions to the Moderna vaccine by lot number sent to 13+ states across the USA. This chart has identified the actual lot numbers of Moderna vaccine that have caused the most deaths in the USA. The deadliest of which is lot number ‘039K20A’ causing almost 100 deaths.
Conclusion
This investigation of VAERS data reveals several concerning findings which warrant further investigation, but it also leads to questions of why authorities within the USA which are supposed to monitor the safety of the Covid-19 vaccines have not discovered this themselves.
The data clearly shows that the Covid-19 vaccination campaign has been significantly more harmful and deadly than the influenza vaccination campaign. This fact alone begs the question as to how the FDA advisory committee could possibly vote Seventeen to Zero in favour of approving the Pfizer vaccine for use in children aged 5 to 11.
One voting member of the Food and Drug Administration (FDA) advisory committee admitted that it will not be fully known whether Pfizer’s vaccine is safe for 5 to 11-year-old children, until it begins being administered.
Dr Eric Rubin of Harvard University said – “We’re never going to learn how safe the vaccine is unless we start giving it, and that’s just the way it goes”.
But the investigation of VAERS has also identified the specific batches of Pfizer and Moderna vaccine that have caused the most harm across the USA, which leads to other extremely serious questions requiring urgent answers.
Why is it that certain batches of the vaccine have proven to be more harmful than others?
Why is it that certain batches of Covid-19 vaccine have proven to be deadlier than others?
Why is it that the most harmful and deadly Covid-19 vaccines were distributed across the entire USA, whilst the least harmful and deadly were only ever distributed to a few states? Was this done on purpose?
Could this just be a quality control issue?
A Pfizer whistleblower from a Kansas manufacturing facility did after all reveal that “People are being made to sign off on things that normally they wouldn’t, and then they wonder why their own employees won’t take it”.
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Categories: Breaking News, Did You Know?, The Expose Blog, World News
[…] News) A new investigation has uncovered data showing that certain lots of Wuhan coronavirus (Covid-19) “vaccination” […]
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I was very interested in this finding, and downloaded VAERS data this morning to see for myself. I was unable to replicate the findings. The most deaths for any lot # was 87, and about half the lot numbers had 0 deaths. I find this distribution to be suspiciously skewed, but not so much as this article would imply. Please reach out to me, so we can reconcile our findings.
Josh,
Filter down the VAERS Vaccine report you downloaded by Vaccine type and then Manufacturer and then sort it by Lot# and you’ll see a few lots with hundreds of adverse event reports surrounded by thousands of incorrectly recorded or reported lot#’s, including blanks and multiple spellings of “unknown”, “Unknown”, “Notavailabie”, “Not Available”, etc. . Every single letter and number off, capitalization mistake or extra character…they simply allowed the spreadsheet to include such row as a unique lot # and part of the “Total Lot Counts” they reported as 5,000 plus lots.
The Pfizer lots were discussed in the media prior to distribution as containing 1 to 3 million doses per batch. Therefore, considering the VAERS report include natural deaths of all sorts and breakthrough deaths MONTHS after the vaccine, I’d strongly suspect that any “lot” that doesn’t have more than 1 death and many other adverse events associated with it…. isn’t a real lot number. Then when you break that down you’ll then have to combine all the variations and typos into the actual EXACT lot number as they could be sorted anywhere in the spreadsheet depending if they used a Zero or the Letter “O” as the first digit.
It is quite evident from the report they took advantage of the fact that, on a few occasions, a very small number of reports and deaths from a few states were reported using the same typo or mistake, such as 87 reporters thinking their vaccine cards read: “039KZOA” instead of “039K20A” which 4,064 reporters got right.
The manipulation and misdirection around input errors and obvious mistakes does not support their underlying inferences/claims.
Godspeed
Are you saying that you corrected lot numbers that you decided were incorrect? Please post spreadsheets with the raw and (if any) corrected data, and link to it from both this article and a follow-up article so it’s easy to find.
I have one vaccine that was associated with the highest deaths and then my second lot number is not listed at al in your report. Why would that be?
Good morning Josh,
I downloaded this data using the CDC Wonder tool, focusing on COVID-19 data by VEARS_ID and Vaccine_Lot. After receiving the text file and converting it, I was able to replicate the results which shows EN6201 to be the leading lot number with reported deaths, with an additional row for “EN 6201” that reported 3 deaths, bringing the total for that vaccine to 120 reported deaths. There was also an entry for EN6200/EN6204 with a low count of death reports, and a high number of UNKNOWNs, N/A, etc… With all of that said the chart looks spot on to me.
This is the chart my husband made he analyzes data for a living
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[…] Deaths were caused by just 5% of the batches produced according to official Government data – https://theexpose.uk/2021/10/31/100-percent-of-covid-19-vaccine-deaths-caused-by-just-5-percent-of-t… – “An investigation of data found in the USA’s Vaccine Adverse Event Reporting System […]
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[…] par un article publié par The Exposé, nous avons voulu vérifier si ce qu’ils affirmaient était fondé, et nos premières […]
Decent report. What were the locations of the batches? And why are there no J & J data analysis? And third why not report the Harvard studies three separate reports three different years all three concluding the same thing that the V.A.E.RS. reporting system is only 1-10% of actual real totals? Next, several weeks ago the C.D.C. uploaded the system and deleted 25% of reports citing ” errors” , what was deleted?
[…] […]
“Why is it that the most harmful and deadly Covid-19 vaccines were distributed across the entire USA, whilst the least harmful and deadly were only ever distributed to a few states? Was this done on purpose?”
That can be the only conclusion one can possibly draw from this. They KNEW the batches were bad, and distributed them all over the country so there wouldn’t be a spike in deaths and hospitalizations and deaths in one place, prompting the withdrawal of the vaccine.
THEY KNEW. I’d say that counts as manslaughter.
No. They have to come up with a reason to continue taking the shots. 5% of batches causing death is as good as any, meaning you are 95% guaranteed to be ok from it.
Well, that makes me want to run right out and take my chances.
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Several people asked about the distribution of bad batches. I received both of my vaccinations from Pfizer lot EN6201, which the Expose report lists as the most dangerous lot. I received the vacs at a mass vac site in Fruita, Colorado in Feb and early march of 2021. My card lists both vacs as from lot EN6201, which is interesting, as one poster in this thread mentioned that lots had a shorter shelf life than two weeks.
Wow this is Very interesting as I know 3 people in grand junction who died within 5 months of Taking the jab. I’m not kidding you. Also lots more sick people this summer around here.
[…] EXCLUSIVE – 100% of Covid-19 Vaccine Deaths were caused by just 5% of the batches produced accordi… 10/31/21 […]
Need to plot the deaths according to VAERS on a map of the USA, what is the geographic distribution?
According to https://www.washingtonpost.com/health/2021/05/12/pfizer-vaccine-adolescents-cdc-advisory-panel/, “The vaccine’s cold-storage requirements and large lot size — 1,170 doses is the minimum order — make it more challenging to be distributed immediately to doctors’ offices.“
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[…] Analysis showed that in 4 289 batches distributed to 12 or fewer states, there were few reports of adverse reactions and hospitalizations and no deaths. By contrast, 13 lots of Pfizer and Moderna vials shipped to many US states had reported the most adverse reactions and deaths. […]
“Moderna Covid-19 vaccine alongside 2,603 deaths and 10,225 hospitalisations. The total count of lot numbers returned was 5,510.”
next source?
“The lot contained a total of 1,272,200 doses, most of which were shipped across the country, according to a Moderna statement.”
https://www.healthline.com/health-news/why-california-put-a-pause-on-a-single-lot-of-the-moderna-covid-19-vaccine#Why-the-Moderna-lot-was-investigated
1,272,200 doses per lot !!!!
5,510 lots x 1,272,200 doses per lot = 7,009,822,000 doses!!!
Is it not more likely the 95% of those lots numbers are typo errors ?
That is why you need an actual list of real batches or to be able to decode what the batch number means to QA them.
It would be a disgrace if the vaers system couldn’t at least sin bin or screen out typo errors from the system.
People entering the batch number should have been able to check it was a valid lot number
or got a computer programmer to code that in!
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Could it be that some lots were widely distributed early on to high risk individuals, who presumably would also be at higher risk of AE?
re your support banner
check your attitude
man would if they could
maybe a more polite less negative formulation….
[…] A new investigation has uncovered data showing that certain lots of Wuhan coronavirus (Covid-19) “vaccination” are deadlier than others. […]
excellent intial analysis of the VAERS data set, I was wondering how come you have more than 171463 AE reports for Pfizer\BIONTECH vaccine, when I downloaded the “ALL Datasets” CSV files from the FDA, it only had and saw the total cases for Pfizer\BIONTECH has only 97854 records? Appreciate your data source when I can get additional reports, the last download was from Nov 5 2021
https://vaers.hhs.gov/eSubDownload/index.jsp?fn=AllVAERSDataCSVS.zip
LISTEN UP
Theory;
THE MODERNA BATCHES ON THE LEFT HAND SIDE
EG
044A21A
AND
039K20A
EXIST
https://www.modernatx.com/covid19vaccine-eua/providers/vial-lookup
THE ONES ON RIGHT HAND SIDE DON’T
EG
021A21A
011A21A
01L20A
021L20A
So in reality for example there are about 250 real batches and say 250,000 VAERS adverse event reports.
2% of VAERS adverse event reports have lot number typo errors.
[that is not too bad in my opinion/experience]
Which generates 5000 extra fake batches which nearly always have one adverse event because they are a typo error batch of one vaccine event.
The real batches eg 250 /5250 = 5% have lots of adverse events because they are real an correspond to about a million vaccine events; for example
We need a complete list of the batches in VAERS and we need to throw out the false batches and re-evaluate the data.
Excellent explanation,approach to data cleaning activity you are correct we have “BAD” VAERS data reporting by all the entities ,individuals and agencies and clinical center reporting the data “INCORRECTLY”, this could be a cause them to go to “JAIL” as it is required by LAW for them to report the VAERS data entry correctly [especially the manufacturer], data scientist also have to consider the fact that some of these data could be entered by patients and will not follow the required protocol of data entry requriements, looks like you have similar experience in clinical and adverse event data analysis.
Dave , my other name is “Avichi”.. I am just looking at the “reported” data of people who have “DIED” field as “Y” in the VAERS database and see that we have a relation between the “VAX_LOT” and the “DIED” and certain lots have higher rate of death, my observation so far is that “initial” lots which were release in the first phase where more people who were 70 years or older get it it first had a higher rate compared to later lots, that could be that the manufacturer could be getting response back from hospitals,public health officials and they could be fine tuning the dosage and concentration , look at the relationship between the “VAX_DATE” and “DIED”, the median is 30 days, mean is 60 days, and the death rate comes down dramatically after about 90 days
Ok
I am used to looking at [non clinical] data statistically, with batch or Lot numbers in situations like this.
And have been mislead by it myself in the past.
It is probably safe to speculate that the first to get vaccinated were medically more vulnerable to adverse events.
So the first batches rolled or distributed out might be more likely to have adverse events associated with them just because of that.
I would also imagine that you would be more likely to report an adverse event and/or suspect it to be associated with a vaccination the closer it was to the vaccination date.
So there could be a distortion there.
Ending the vaccine trial after 6 months and vaccinating or un-blinding the Placebo group or whatever, which could have provided controlled information on late adverse events etc, was just scientific criminality.
The data entry into the vaers systems should have had a programmed double lookup system to check the validity of the lot number.
Eg does the lot number exist and does it match the entered expiry date.
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[…] Notes et sources(1) https://www.aimsib.org/PDFs/Contrat-PFIZER-1618676600910_APA-BioNTech-Pfizer.pdf(2) https://www.aimsib.org/2021/01/24/hesitants-a-la-vaccination-anti-covid-voila-qui-va-vous-decider/(3) https://www.aimsib.org/2021/05/16/corruption-et-gestion-de-la-covid-19-on-y-est/(4) https://www.covid-factuel.fr/2021/11/02/vaccins-anti-covid-les-evenements-graves-ne-concernent-ils-que-quelques-lots/(5) https://theexpose.uk/2021/10/31/100-percent-of-covid-19-vaccine-deaths-caused-by-just-5-percent-of-t… […]
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