I didn’t intend to translate Prof Kojima’s articles three posts in a row, but since Ashmedai already wrote about the study by a Japanese cardiologist whose patients’ mortality rate doubled after getting the Covid jab, I guess I might as well do so.
Some other friends of mine in Tokyo are working on vial content analysis in conjunction with batch analysis in the hopes of verifying the 'whys and hows' batch/lot adverse events appeared to vary significantly from lot to lot. Very clever bunch of researchers indeed.
I am all for keeping an open mind, but any investigation which attempts to assign causation of adverse events to "bad batches" raises doubts in my mind. As Bret Weinstein has noted, a simple explanation of the mechanism of injury is that the mRNA technology forces the body's own cells to produce a particle (here the spike protein) that causes an autoimmune response. The body's T-cells kill our own cells that present the foreign particle. The minute it was established that the mRNA does not remain locally in the injection site, there was a clear plausible explanation for injuries. After all it's one thing to kill off some muscle cells in one's shoulder in order to develop an effective immune response, but it is another thing to trigger the body's immune system to attack various organs and systems in an "autoimmune cascade."
Paul Offit has attempted to "save" the mRNA platform by suggesting that the problem was develoeprs selected the wrong particle--the spike protein. So he blames the injection, but asserts the next time mRNA developers will get it right. But if the entire platform is the cause of the injury because of the obvious autoimmune challenges it creates, then mRNA "vaccination" is likely to fail every time.
The "bad batch" argument is similar. It solely places blame on the manufacturing process and acquits the mRNA platform. To be sure there are other plausible ideas about mechanism of injury such as Mark Girardot's "bolus" hypothesis--where failure to aspirate the needle to assure that a blood vessel has not been intersected results in a large "bolus" of product directly reaching the heart and other areas of the body. But the autoimmune hypothesis is strong, and so though I am open to "hot lots," I remain skeptical.
I agree the mRNA platform itself is problematic for various reasons. But there's one big reason I think Prof Kojima might have a point about there being differences between earlier and later batches: Japan is one of the few countries that gave out more shots in 2022 than in 2021, but the vast majority of reported post-vax AEs/deaths were in 2021 (See my reply to Fabian above).
Of course, Japan had far higher excess deaths in 2022 than 2021, so it's not like the jabs became safe and effective.
The safety and hygiene measures drug manufacturers must take and the inspections manufacturing sites undergo makes it hard for me to believe the hot lots as accident theory. We have had lots of medicine tampered with, but I do not recall lots of unrecalled meds have such disparity of results. Perhaps there has been and am just unaware, but it still seems fishy.
I'd go as far as to say that early infections are the main mechanism by which vaccines killed people - as in they are responsible for the largest share of deaths (which would include a number of vaccine-naive people).
The entire drop in the age of death in the US in 2021 can be explained by this. I am really struggling to write this all up, because while I'm good with numbers, code and data, I'm just not big on writing and still trying to cope with all my losses of the past years.
Been working on this one for half a year now and haven't written a word. :/ Made plenty of kickass charts and videos though. :D
Please share your losses. These need to be known. So many have lost so much and they need to be documented. It can be therapeutic to share. This may lesson the burden of your losses and allow you work on other things.
Yes you are right. I have been intending to do that for some time, but it's all deeply personal and I would be talking about the private life of real people like my wife, my brothers, my former friends.
Everything is gone. I just have a handful of friends left, several of those are suicidal. What a trainwreck.
I never really did. I just ran the same analysis I have built pervaers.com on for hundreds of lots as study groups (instead of study groups being defined by antigen type like on the website).
The code is so horrible it would take me days to get back into it, but once I am done with the delta article, I should get to it and write about it or even upload the results to another website. Gonna be some time though...
Until then you'll just have to take my word for it (or not). Also look at this:
Oh and increased susceptibility IS a side effect that occurs within the first two weeks. After spending 1000s of hours on the data (dozens over dozens of datasets) I am absolutely convinced that vaccination (especially the first dose) transiently increased the chance to catch an infection upon early exposure, promoted transmission upon infection and worsened outcomes.
Hence people were only considered "partially vaccinated" 14 days after their first shot. This introduced massive (!) selection bias into ALL studies I know of.
It's all about the first days. Sadly, this issue has barely been addressed.
I agree with you about increased susceptibility after the first shot. In fact, I even wrote a post about it 18 months ago, back when my only subscriber was my mum (https://guygin.substack.com/p/wait-two-weeks-evidence-of-higher). I also think dose dependency is the main reason for more reported AEs/deaths after the second shot than the first, which I mentioned in my post on Prof Kojima's analysis of post-vax deaths among people in their 20s.
But I'm still not sure those things explain why there were far fewer post-vax AEs/deaths reported after boosters not just in Japan but everywhere else as far as I know.
I know age and pre-existing illness are confounding variables when comparing deaths between earlier and later batches in 2021, but Japan's second booster campaign in mid 2022 was targeted only at people who were elderly, ill, or worked in healthcare. The fourth booster campaign ongoing since May this year is the same. But in both elderly-focused booster campaigns, far fewer post-vax deaths were reported than after the first and second shots in 2021, when most the of post-vax deaths were reported. So I'm still open to the idea that the batches used for boosters weren't as "hot" as the batches used in the first half of 2021.
Excellent. mhlw is the Japanese public health agency? VAERS largely confirms this and so does US population-level data.
I suppose if people suffer an increased chance of infection, they would naturally have a lower chance of infection in the future. The effect should introduce selection bias.
I also think the Delta variant was much more problematic in this respect than pre-VOC, Alpha or Omicron strains.
That beind said, I am still open to the idea that certain batches exacerbated the phenomenom. I just don't think we are at a point where this is necessary as an explanation, because there simply were no studies performed on "early infections". We don't even have a word for that potentially most important of all groups. Breakthrough infections are defined as occurring 7 days post shot 2 at the earliest I think.
There must be a ton of patient data floating around that is not being looked at and if we want to shed light onto what happened that data needs our attention.
MHLW is the Ministry of Health, Labour and Welfare. They're the ministry that handles drug authorisations and regulations.
"There must be a ton of patient data floating around that is not being looked at and if we want to shed light onto what happened that data needs our attention."
I can't agree more. The trouble is the authorities don't want to look at it and don't want us to look at it either.
Well, I might have access to patient level-data through a German law office soon. This law office seems to have a huge amount of data - mostly blood though - that needs to be analyzed. Not sure if I will do it yet, but I might. It would be a great extension of the population-level US data analysis I am doing at the moment.
Cheers Guy, great work, and thanks as always!
Some other friends of mine in Tokyo are working on vial content analysis in conjunction with batch analysis in the hopes of verifying the 'whys and hows' batch/lot adverse events appeared to vary significantly from lot to lot. Very clever bunch of researchers indeed.
And there is always this site: https://howbad.info/index.html
Take care fella and have a great week.
I hope they release their findings on substack.
I hope so as well.
I am all for keeping an open mind, but any investigation which attempts to assign causation of adverse events to "bad batches" raises doubts in my mind. As Bret Weinstein has noted, a simple explanation of the mechanism of injury is that the mRNA technology forces the body's own cells to produce a particle (here the spike protein) that causes an autoimmune response. The body's T-cells kill our own cells that present the foreign particle. The minute it was established that the mRNA does not remain locally in the injection site, there was a clear plausible explanation for injuries. After all it's one thing to kill off some muscle cells in one's shoulder in order to develop an effective immune response, but it is another thing to trigger the body's immune system to attack various organs and systems in an "autoimmune cascade."
Paul Offit has attempted to "save" the mRNA platform by suggesting that the problem was develoeprs selected the wrong particle--the spike protein. So he blames the injection, but asserts the next time mRNA developers will get it right. But if the entire platform is the cause of the injury because of the obvious autoimmune challenges it creates, then mRNA "vaccination" is likely to fail every time.
The "bad batch" argument is similar. It solely places blame on the manufacturing process and acquits the mRNA platform. To be sure there are other plausible ideas about mechanism of injury such as Mark Girardot's "bolus" hypothesis--where failure to aspirate the needle to assure that a blood vessel has not been intersected results in a large "bolus" of product directly reaching the heart and other areas of the body. But the autoimmune hypothesis is strong, and so though I am open to "hot lots," I remain skeptical.
I agree the mRNA platform itself is problematic for various reasons. But there's one big reason I think Prof Kojima might have a point about there being differences between earlier and later batches: Japan is one of the few countries that gave out more shots in 2022 than in 2021, but the vast majority of reported post-vax AEs/deaths were in 2021 (See my reply to Fabian above).
Of course, Japan had far higher excess deaths in 2022 than 2021, so it's not like the jabs became safe and effective.
The safety and hygiene measures drug manufacturers must take and the inspections manufacturing sites undergo makes it hard for me to believe the hot lots as accident theory. We have had lots of medicine tampered with, but I do not recall lots of unrecalled meds have such disparity of results. Perhaps there has been and am just unaware, but it still seems fishy.
The data should be stratified by adverse event type (infections or other).
Most "bad batches" were deployed during COVID waves. Batches that were distributed early on also went towards elders and disabled people.
Once the data are stratified by adverse event type and age adjusted, very little remains in terms of batch differences.
Can you link to.the substack article where you discuss this?
I'd go as far as to say that early infections are the main mechanism by which vaccines killed people - as in they are responsible for the largest share of deaths (which would include a number of vaccine-naive people).
The entire drop in the age of death in the US in 2021 can be explained by this. I am really struggling to write this all up, because while I'm good with numbers, code and data, I'm just not big on writing and still trying to cope with all my losses of the past years.
Been working on this one for half a year now and haven't written a word. :/ Made plenty of kickass charts and videos though. :D
Please share your losses. These need to be known. So many have lost so much and they need to be documented. It can be therapeutic to share. This may lesson the burden of your losses and allow you work on other things.
Yes you are right. I have been intending to do that for some time, but it's all deeply personal and I would be talking about the private life of real people like my wife, my brothers, my former friends.
Everything is gone. I just have a handful of friends left, several of those are suicidal. What a trainwreck.
I never really did. I just ran the same analysis I have built pervaers.com on for hundreds of lots as study groups (instead of study groups being defined by antigen type like on the website).
The code is so horrible it would take me days to get back into it, but once I am done with the delta article, I should get to it and write about it or even upload the results to another website. Gonna be some time though...
Until then you'll just have to take my word for it (or not). Also look at this:
https://pervaers.com/?v=CI1&q=death (infection reports only)
https://pervaers.com/?v=CI0&q=death (non-infection reports only)
Oh and increased susceptibility IS a side effect that occurs within the first two weeks. After spending 1000s of hours on the data (dozens over dozens of datasets) I am absolutely convinced that vaccination (especially the first dose) transiently increased the chance to catch an infection upon early exposure, promoted transmission upon infection and worsened outcomes.
Hence people were only considered "partially vaccinated" 14 days after their first shot. This introduced massive (!) selection bias into ALL studies I know of.
It's all about the first days. Sadly, this issue has barely been addressed.
I agree with you about increased susceptibility after the first shot. In fact, I even wrote a post about it 18 months ago, back when my only subscriber was my mum (https://guygin.substack.com/p/wait-two-weeks-evidence-of-higher). I also think dose dependency is the main reason for more reported AEs/deaths after the second shot than the first, which I mentioned in my post on Prof Kojima's analysis of post-vax deaths among people in their 20s.
But I'm still not sure those things explain why there were far fewer post-vax AEs/deaths reported after boosters not just in Japan but everywhere else as far as I know.
I know age and pre-existing illness are confounding variables when comparing deaths between earlier and later batches in 2021, but Japan's second booster campaign in mid 2022 was targeted only at people who were elderly, ill, or worked in healthcare. The fourth booster campaign ongoing since May this year is the same. But in both elderly-focused booster campaigns, far fewer post-vax deaths were reported than after the first and second shots in 2021, when most the of post-vax deaths were reported. So I'm still open to the idea that the batches used for boosters weren't as "hot" as the batches used in the first half of 2021.
Excellent. mhlw is the Japanese public health agency? VAERS largely confirms this and so does US population-level data.
I suppose if people suffer an increased chance of infection, they would naturally have a lower chance of infection in the future. The effect should introduce selection bias.
I also think the Delta variant was much more problematic in this respect than pre-VOC, Alpha or Omicron strains.
That beind said, I am still open to the idea that certain batches exacerbated the phenomenom. I just don't think we are at a point where this is necessary as an explanation, because there simply were no studies performed on "early infections". We don't even have a word for that potentially most important of all groups. Breakthrough infections are defined as occurring 7 days post shot 2 at the earliest I think.
There must be a ton of patient data floating around that is not being looked at and if we want to shed light onto what happened that data needs our attention.
MHLW is the Ministry of Health, Labour and Welfare. They're the ministry that handles drug authorisations and regulations.
"There must be a ton of patient data floating around that is not being looked at and if we want to shed light onto what happened that data needs our attention."
I can't agree more. The trouble is the authorities don't want to look at it and don't want us to look at it either.
Well, I might have access to patient level-data through a German law office soon. This law office seems to have a huge amount of data - mostly blood though - that needs to be analyzed. Not sure if I will do it yet, but I might. It would be a great extension of the population-level US data analysis I am doing at the moment.
Excellent work, thank you.
And they are more welcome than ever;
https://www.japantimes.co.jp/news/2023/11/14/japan/science-health/japan-new-drug-trials/
vial content = vile content Pfizer= miser Lethal injection via Russian roulette? No thanks!