This analysis, just to reiteratively repeat myself again, shows 76% of the VARIATION in the all-cause-death rate can be explained by VARIATTIONS in the Vax Rate. It says nothing about the steady-state increase in mortality caused by the Vax. For that, one needs to compare death rates between the Vax'd and non-Vax'd. These DATA are available from the U.K. Gov't Office of National Statistics and show about a factor of two increase in the death rate of Vax'd compared to non-Vax'd, See:
I should point out that an R-Squared value of 0.76 is extremely high -- in the real world, looking a process control in a complex system with many independent variables, one feel lucky to hit upon a high R-Squared value of 0.1 !
Sep 4, 2022·edited Sep 4, 2022Liked by Tim Ellison
Great work on this, Timbob. I'm going to add some of my own observations and analyses.
The S1 spike protein is the primary factor contributing to severe disease states seen in "Long COVID." And a few researchers have pointed to this already, most notably here:
Amyloidosis is the leading cause of death among centenarians. I can't recall specificically what the age is, but it gradually rises the cause-of-death ranks as we age.
What is amyloidosis? It is nature's mechanism for planned obsolescence in humans. Gene replication errors happen at a certain rate during mitosis throughout your lifetime. Gradually and eventually, these errors cause your cell nuclei to produce errant proteins which misfold and cannot be used by normal biological processes. Eventually, they begin to cause systemic organ failure by getting stuck in vessels and capillaries, causing microclotting, depriving cells of nutrients.
What was historically called "death by old age" is really just the slow degradation and eventual failure of numerous organs due to amyloidosis. This aligns strikingly well with the myriad neurological and vascular symptoms in Long COVID cases. Patients even develop purple "COVID toes" and "COVID fingers" as the dying elderly do.
Both the virus and (most of) the vaccines introduce these spike proteins into your blood, where they have no biological use and form microclots. To compound this problem, the vaccines are not particularly effective at preventing infection. This is true for past vaccines against coronaviruses as well.
So what we have is:
1. An endemic seasonal virus with a nasty, slow-killing mechanism of action.
2. Repeated administration of vaccines which compound and worsen this most insidious MOA.
Taken together, you can see that the effect of this pandemic and our "solution" to it, is to kill millions of people by way of premature old age (perhaps billions over time).
They also have the lowest "numbers" of "CoVid-1984 Deaths".
Our country has one of the highest rates of "CoVid Deaths", and we spent 5 - 10 Trillion dollars on this MSM Hype-Hysteria CoVid-1984 Mass Psychosis Fear Pandemic.
If the rest of the world spent as we had, it would have been 3 times the world's GDP.
India has done a great job considering the challenges it faces and after initially falling for the mass lockdown trap and locking down the entire country of 1.4 billion people and showing nothing for it. They also went in for the less risky traditional adenovirus vaccine, with almost the entire adult population vaccinated, we don't see people falling ill and dying like we do in the "advanced" Western World - I say this because it would be nearly impossible to cover deaths of this scale in India, given its free press (freer than in the West apparently), diversity of opinions and democracy (even if flawed), which is another success in itself. Now its economy is growing at a record 10+% (highest in the World) while the rest of the World is dealing with severe economic problems.
Yes, I've seen those reports -- that's what inspired me to do this work.
Yes, in Fig. 1 you can see a hump in deaths about 5 months after the initial peak in Vax's. But this peak is really due to the increase in Vax's 7 weeks prior.
I did the same Statistical Analysis over the entire Data set, with an R-Squared Value no higher than 0.03 (which you can get for random numbers), and for 20 weeks (5 months) the R-Squared value was 0.001.
Most often I trust my eye -- but sometimes the eye can confuse you!
My eye certainly sees the correlation with a about a 7 week delay after 7/24.
The shorter-term delay can also be clearly seen in the Plot I got from one of Malone's Posts --
> Here we will need to think about this medico-legally. Why? Because for not a few side-effects, we said “OK, it exists and there’s a report, but please get vaccinated”. So we need to think about how to write it and present it in the correct way, so they won’t come afterwards with lawsuits: “Wait a second, you said it would go away and it’s OK to get vaccinated, now look what happened to me.”
Great Post. Problem with all such analyses is they cannot separate a post-viral death from a post-vax death. What we really need is CDC and ONS (UK) data that logs all cause mortality (ex-covid) deaths separated by:
# vaccination status (1 jab, 2 jab, 3, 4, 5, unjabbed) (and when, how long to death)
# prior covid infection status (never infected, 1, 2, 3 and name the variants, and when - how long prior to death)
I can't wait for the refereed Journal article to be published in 6 months with a Model "proving" how these data show that the Vax's are Safe and Effective.
Mary, see my reply to article (re. amyloidosis) for an explanation of why you might expect infections and vaccinations to influence death rate in a similar fashion, anyway. In other words, I think the right analysis would include a combined series -- summing infections and vaccinations -- and compare the resulting correlations with hospitalization and death over time.
Using the legend, turn off all the plots except the first (First dose more than 21 days ago) and last (Red, Unvaccinated) and you can clearly see with your eyes that being Vax'd kills you, as I pointed out in
Acknowledgement:
A number of articles going around saying there is a 5 month delay between Vaxing and Dying.
That is not true.
But I wouldn't have done my work if I had not seen those articles and looked for myself.
So, I owe all my investigative work to your erroneous hypothesis, which I tested.
Thank you.
Some poetry for you before I share my analysis on your excellent research:
Vaxxie, Vaxxie, in your casket,
Took your tests and wore your mask, it
Didn't work, got every strain,
Spike proteins inside your brain.
Short of breath at 24,
"Dr. Fauci, gimmie more!"
Swollen heart at 25,
"Thank Moderna I'm alive!"
Heart attack at 26,
Prayed to Pfizer for a fix.
Vaxxie, Vaxxie, death is lurking,
Doctor says, "that means it's working."
Died of SADS at 27,
All good vaxxies go to heaven.
Obituary headline noted:
"Anti-Vaxxer Dies of COVID."
Family is quite upset,
But they're alive, at least on net.
And, they say, "it's for the better,"
Without the vax "he would be deader."
Plain and Simple in English:
Variations in the death rate have an 87% correlation (76% R-Squared value) to the vax rate, but lag the Vax's by about 7 weeks.
CoVid Vax's account for 76% of the variations in our country's death rate.
This analysis, just to reiteratively repeat myself again, shows 76% of the VARIATION in the all-cause-death rate can be explained by VARIATTIONS in the Vax Rate. It says nothing about the steady-state increase in mortality caused by the Vax. For that, one needs to compare death rates between the Vax'd and non-Vax'd. These DATA are available from the U.K. Gov't Office of National Statistics and show about a factor of two increase in the death rate of Vax'd compared to non-Vax'd, See:
https://timellison.substack.com/p/i-hope-there-is-nothing-to-see-here
https://timellison.substack.com/p/follow-up-1-on-i-hope-there-is-nothing
https://timellison.substack.com/p/follow-up-2-on-i-hope-there-is-nothing
I should point out that an R-Squared value of 0.76 is extremely high -- in the real world, looking a process control in a complex system with many independent variables, one feel lucky to hit upon a high R-Squared value of 0.1 !
How do I get this Posting, and a previous Posting:
https://timellison.substack.com/p/follow-up-2-on-i-hope-there-is-nothing
to go Viral ?
Great work on this, Timbob. I'm going to add some of my own observations and analyses.
The S1 spike protein is the primary factor contributing to severe disease states seen in "Long COVID." And a few researchers have pointed to this already, most notably here:
https://www.biorxiv.org/content/10.1101/2021.12.16.472920v1
Amyloidosis is the leading cause of death among centenarians. I can't recall specificically what the age is, but it gradually rises the cause-of-death ranks as we age.
What is amyloidosis? It is nature's mechanism for planned obsolescence in humans. Gene replication errors happen at a certain rate during mitosis throughout your lifetime. Gradually and eventually, these errors cause your cell nuclei to produce errant proteins which misfold and cannot be used by normal biological processes. Eventually, they begin to cause systemic organ failure by getting stuck in vessels and capillaries, causing microclotting, depriving cells of nutrients.
What was historically called "death by old age" is really just the slow degradation and eventual failure of numerous organs due to amyloidosis. This aligns strikingly well with the myriad neurological and vascular symptoms in Long COVID cases. Patients even develop purple "COVID toes" and "COVID fingers" as the dying elderly do.
Both the virus and (most of) the vaccines introduce these spike proteins into your blood, where they have no biological use and form microclots. To compound this problem, the vaccines are not particularly effective at preventing infection. This is true for past vaccines against coronaviruses as well.
So what we have is:
1. An endemic seasonal virus with a nasty, slow-killing mechanism of action.
2. Repeated administration of vaccines which compound and worsen this most insidious MOA.
Taken together, you can see that the effect of this pandemic and our "solution" to it, is to kill millions of people by way of premature old age (perhaps billions over time).
Smart 3rd world counties have rejected the vaccine 💉 junk science
They also have the lowest "numbers" of "CoVid-1984 Deaths".
Our country has one of the highest rates of "CoVid Deaths", and we spent 5 - 10 Trillion dollars on this MSM Hype-Hysteria CoVid-1984 Mass Psychosis Fear Pandemic.
If the rest of the world spent as we had, it would have been 3 times the world's GDP.
India has done a great job considering the challenges it faces and after initially falling for the mass lockdown trap and locking down the entire country of 1.4 billion people and showing nothing for it. They also went in for the less risky traditional adenovirus vaccine, with almost the entire adult population vaccinated, we don't see people falling ill and dying like we do in the "advanced" Western World - I say this because it would be nearly impossible to cover deaths of this scale in India, given its free press (freer than in the West apparently), diversity of opinions and democracy (even if flawed), which is another success in itself. Now its economy is growing at a record 10+% (highest in the World) while the rest of the World is dealing with severe economic problems.
Very interesting. I'd also love to reconcile your findings with:
- Steve Kirsch (5 month death lag, US data) - https://stevekirsch.substack.com/p/this-one-graph-tells-you-everything
- John Dee (5 month death lag, UK data) - https://jdee.substack.com/p/vaccines-and-death-part-1
- "DaveDD" (5 month death lag, EU data) - https://stevekirsch.substack.com/p/this-one-graph-tells-you-everything/comment/8768068
- Joel Smalley (5 month death lag, US data) - https://metatron.substack.com/p/evidence-of-the-mrna-experiment-causing
Yes, I've seen those reports -- that's what inspired me to do this work.
Yes, in Fig. 1 you can see a hump in deaths about 5 months after the initial peak in Vax's. But this peak is really due to the increase in Vax's 7 weeks prior.
I did the same Statistical Analysis over the entire Data set, with an R-Squared Value no higher than 0.03 (which you can get for random numbers), and for 20 weeks (5 months) the R-Squared value was 0.001.
Most often I trust my eye -- but sometimes the eye can confuse you!
My eye certainly sees the correlation with a about a 7 week delay after 7/24.
The shorter-term delay can also be clearly seen in the Plot I got from one of Malone's Posts --
See: https://timellison.substack.com/p/im-sure-there-is-nothing-to-see-here
And, as you can see from Fig. 2, there is a minimum in the correlation at about 20 weeks or 5 months.
https://dailysceptic.org/2022/09/04/serious-vaccine-side-effects-covered-up-by-israeli-government-leaked-video-reveals/
From the article:
> Here we will need to think about this medico-legally. Why? Because for not a few side-effects, we said “OK, it exists and there’s a report, but please get vaccinated”. So we need to think about how to write it and present it in the correct way, so they won’t come afterwards with lawsuits: “Wait a second, you said it would go away and it’s OK to get vaccinated, now look what happened to me.”
Great Post. Problem with all such analyses is they cannot separate a post-viral death from a post-vax death. What we really need is CDC and ONS (UK) data that logs all cause mortality (ex-covid) deaths separated by:
# vaccination status (1 jab, 2 jab, 3, 4, 5, unjabbed) (and when, how long to death)
# prior covid infection status (never infected, 1, 2, 3 and name the variants, and when - how long prior to death)
# age - under 65 and over 65s
I can't wait for the refereed Journal article to be published in 6 months with a Model "proving" how these data show that the Vax's are Safe and Effective.
Haha.
https://theconversation.com/covid-the-reason-cases-are-rising-among-the-double-vaccinated-its-not-because-vaccines-arent-working-164797
https://toolbox.google.com/factcheck/explorer/search/coronavirus;hl=en
"Oh, what a tangled web we weave"
Yes such an analysis would reveal beyond doubt the harms of that badly tested mRNA product and prevent the criminals from blaming it on covid
I did some postings on that. See:
https://timellison.substack.com/p/i-hope-there-is-nothing-to-see-here
https://timellison.substack.com/p/follow-up-1-on-i-hope-there-is-nothing and
https://timellison.substack.com/p/follow-up-2-on-i-hope-there-is-nothing
Also look at the great plot of ONS data may by David Hawkins:
https://rpubs.com/DavidHawkins/937821
This is all the ONS raw data --- you can turn ON and OFF different plots by clicking on the plot in the Legend.
That is by design. It is so designed in order to cover up the disaster. Duh.
Mary, see my reply to article (re. amyloidosis) for an explanation of why you might expect infections and vaccinations to influence death rate in a similar fashion, anyway. In other words, I think the right analysis would include a combined series -- summing infections and vaccinations -- and compare the resulting correlations with hospitalization and death over time.
Regardless -- look at:
https://rpubs.com/DavidHawkins/937821
Using the legend, turn off all the plots except the first (First dose more than 21 days ago) and last (Red, Unvaccinated) and you can clearly see with your eyes that being Vax'd kills you, as I pointed out in
https://timellison.substack.com/p/follow-up-2-on-i-hope-there-is-nothing