There is a wildly statistically-significant skew in the death rate from Covid-19 vaccines by lot number.
He was expecting to debunk it (he has a passionate hatred of tinfoil hats) but instead found that across all three of the vaccine producers they showed a similar abnormal grouping of deaths by lot number. Much less than 50% quoted, this is the TLDR summary:
The only thing all three of these vaccines have in common is that all three of them rely on the human body to produce the spike protein that is then attacked by the immune system and produces antibodies; none of them directly introduce the offending substance into the body. The mechanism of induction is different between the J&J and Pfizer/Moderna formulations but all exhibit the same problem. The differential shown in the data is wildly beyond reasonable explanation related to the cohort dosed and the reported person's average age for the full set of events (not just deaths) does not correlate with elevated risk in a given lot either so it is clearly not related to the age of the person jabbed (e.g. "certain lots all went to nursing homes since they were first.") While the highest AE rate lots all have early use dates so do some of the low-AE rate lots so the attempt to explain the data away as "but the highest risk got it first" fails as well.
In other words the best-fit hypothesis is that causing the body to produce part of a pathogen when that part has pathological capacity (as we know is the case for the spike) cannot be controlled adequately through commercial manufacturing process at-scale. This means that no vector-based, irrespective of how (e.g. viral vector or mRNA), not-directly-infused coronavirus jab will ever have an acceptable safety profile because some lots will be "hot" and harm crazy percentages of those they're given to with no way to know in advance. The basic premise used here -- to have the body produce the agent the immune system identifies rather than directly introduce it where you can control the quantity, is a failure.
The entire premise of calling something that does this a "vaccine" is bogus and in the context of a coronavirus this may never be able to be done safely.
You can see the graphs in the link below. Just scroll about half way and keep going.
https://market-ticker.org/akcs-www?post=244109
BOOKMARK
Adverse reactions should be evenly distributed...
except you also have to factor in who’s doing the injection.
There’s been some evidence that improper injection technique can lead to adverse reactions.
Who’s training the people at Walmart and CVS, and how well are they doing it? Are these people even nurses? (No. They’re not.)
Center for Deception and control =CDC
This is only true if the lots are the same size, which they aren't.
This fact invalidates his entire analysis.
This is high school level math.
Karl Denninger knows this but is playing you for a sucker for clicks.
Have some self respect and consider why you post drivel from people who think so little of you.
95% of the Lots had NO DEATHS. But, since I had 3 significant reactions I checked my lot off the vaccine card.
My dirty vaccine lot killed 7 people!
The worst 30 lots killed a total of 2111 people!
The most contaminated vaccine lot killed 119 people
I ran these numbers myself on VAERS.
“But, grasshopper, I have Postgres. Indeed if you’re reading this article it is because I both have it and know how to program against it; this blog is, in fact, stored in Postgres.
Postgres, like all databases, is very good at taking something that can be foreign-key related and correlating it. In fact that’s one of a database’s prime strengths. Isn’t SQL, which I assume VAERS uses as well, wonderful?”
Anyone who wrote the semi-comp-sci-illiterate stuff above IS A GRASSHOPPER when it comes to databases and query languages.
Here is the latest VAERS report from October 22nd. 17k dead and 1.6 million adverse reactions.
Once in the link you can click on the links to the right to get more detailed information.
One confound for this analysis that I didn't see (I might have missed it) is the fact that clinical judgment and willingness to perceive and report adverse events may not be evenly distributed geographically. I suspect that doctors in Portland, for instance, would be much more likely to attribute adverse events to other causes than their beloved vaccine. In contrast, other communities may have doctors highly skeptical of the vaccine and be more likely to link the jab with adverse events.
To test this hypothesis, he'd have to collect similar reports from different vaccines and see if there is a similar skew in reports.
Great article, but it will go over the head of most who read it I’m afraid.
How is it that where there is resistance all of a sudden there are outbreaks?
(Sources of DATA)
https://medalerts.org/vaersdb/
CoVid Vaccine Deaths 498 for State of California VAERS Data from 10/22/2021
-
State Population 2020 Census
-
Fully Vaccinated Rates for State from DATA FROM 11/01/2021
https://usafacts.org/visualizations/covid-vaccine-tracker-states/
Example of Calculations used (California)
California Pop * Full Vaccination Rate = Population Fully Vaccinated
39,538,223 * 61% (.61) = 24,118,316.03
Population Fully Vaccinated / Deaths = Odds of dying in State if Fully Vaccinated
24,118,316.03 / 498 = 48,430
(Odds of dying if fully Vaccinated in California 1 in 48,430)
If fully CoVid Vaccinated- Odds of Dying by State sorted by risk,
Adjusted by Population and Full Vax Rates as of 11/01/2021
(1 in #)
5,944 Kentucky
10,860 North Dakota
11,064 Montana
12,056 Minnesota
12,471 Tennessee
12,539 Alaska
13,359 Wyoming
14,685 South Dakota
15,779 New Hampshire
16,714 West Virginia
17,312 Georgia
17,628 Arkansas
19,435 Michigan
20,794 Missouri
21,877 North Carolina
22,054 Wisconsin
24,329 Kansas
24,410 Nebraska
24,585 Indiana
25,163 Iowa
25,681 Hawaii
27,351 New Mexico
27,800 Mississippi
28,449 Maine
28,724 Washington
30,147 Illinois
30,375 Ohio
31,030 Washington D.C.
31,262 Delaware
31,377 Florida
33,249 Alabama
36,577 Pennsylvania
37,598 Oregon
38,082 Colorado
39,223 Louisiana
39,915 Texas
41,508 Vermont
41,652 Arizona
42,590 Idaho
42,872 New Jersey
43,286 Rhode Island
43,372 Maryland
44,736 Massachusetts
44,898 South Carolina
45,315 Virginia
46,549 Connecticut
47,135 Oklahoma
47,325 New York
48,395 Nevada
48,430 California
65,432 Utah
From the 10/22/2021 release of VAERS data:
Found 93 cases where Vaccine is COVID19 and Manufacturer is PFIZER/BIONTECH and Lot Number
contains 'EN6198' and Patient Died
Table
Location Count Percent
Arkansas 1 1.08%
California 2 2.15%
Colorado 1 1.08%
Florida 3 3.23%
Georgia 1 1.08%
Hawaii 1 1.08%
Illinois 1 1.08%
Indiana 4 4.3%
Iowa 1 1.08%
Kentucky 10 10.75%
Michigan 2 2.15%
Missouri 1 1.08%
New Jersey 1 1.08%
New Mexico 1 1.08%
North Dakota 1 1.08%
Ohio 2 2.15%
Pennsylvania 3 3.23%
Tennessee 7 7.53%
Texas 11 11.83%
Vermont 2 2.15%
Virginia 1 1.08%
Washington 5 5.38%
West Virginia 1 1.08%
Wyoming 1 1.08%
Foreign 1 1.08%
Unknown 28 30.11%
TOTAL 93 100%
In a contest to see who is stupider, Bill Gates and Anthony Fauci are neck and neck.
In the above, it says, “ YOU WOULD THINK THAT IF CONGRESS WAS ACTUALLY INTERESTED IN SOLVING THE PROBLEM...”
Herein is one of the many challenges we Americans face. Congress isn’t actually interested in solving ANY problem. Nope. They are there to line their own pockets, and tell the rest of us what to do. They are members of a terrific country club.
Problem solvers?
Name one thing Congress has done that solved a problem. They only create new problems, and then they like to point fingers at each other.
I’m pretty sick of all of it.
He was expecting to debunk it (he has a passionate hatred of tinfoil hats) but instead found that across all three of the vaccine producers they showed a similar abnormal grouping of deaths by lot number.
Ignore the ‘Karl Denniger must have an agenda, now’ shills.
I have a theory for that. Most of the work on these things is done by robotics. It would be easy to write some code and have the robot grab a few vials from Lot #025C21A and stick them in a shipment going to TX. Then grab a few more and stick them in a shipment going to FL and so on. That way they get distributed all over the country so that it's not as noticeable that there are bad batches. Each shipment could have a half a dozen vials from any number of lots.
The tin foil explanation as to why they'd do that is population reduction. The non tin foil explanation is just a CYA thing, just in case there are a few bad batches, it would be less noticeable.
Shocking that no one is doing anything about this. The deaths and maiming continues. Now on to 5 year olds.
Study