Using the Risk of All Cause Death for an Unvaccinated Person over a 12 month period in a specific age Group (which is easily calculated from the data) and knowing (accurately) the size of that age group we simply multiply that risk of UNVACCINATED death by the size of the age group to get the “EXPECTED” Zero Efficacy Deaths of the entire Group over the 12 months.
We then compare that expected unvaccinated all-cause death figure with the ACTUAL DATA of All-Cause Death
Example below for age group 50-59
Unvaccinated risk is simply Unvaccinated Deaths Divided by Population of Unvaccinated Group within the age group
Here it is 2224/995,075 = 0.224%
The Total Population of 50-59 is 8,269,325
So with Zero Efficacy over the 12 month period we could expect 0.224% x 8,269,325 = 18,482
But what ONS recorded for this 12 Month Period was 24,693
Note the 12 Month Period looked at the Vaccine Uptake was very steady and easy to average out with confidence
To help them take a look at it there is a three page printout in the substack with a QR post pointing back to the article; this is for putting up in public spaces (with Permission)
The (Increased) Death Data we are seeing reflects those that have already succumbed to the diseases and conditions brought on my this utterly reckless mRNA technology.
The longer term consequences (And I worry particularly with fertility and new born developmental issues) are yet to surface,
Please promote the Print out so those who don't care to look into the mostly censored internet, particularly the Elderly can see and investigate through the QR code that links back to this clear evidence. It is no longer enough (though it is good) to report to those who are already awake
Powerful. Anyone struggling to understand the danger of these Jabs, shots, "vaccines", bioweapons should take a look at this. Thank-you for putting this together.
Usual Character Assassination Language including trying to tell people where they might physically find John Campbell.
BBC and Expert thinking; If the NIMS Population was wrong (too many people) the number of Unvaccinated calculated was too many hence the death rates for the unvaccinated are wrong (under estimated).
From the UKHSA report the Unvaccinated was calculated as “NIMS Cohort” less “ Number Vaccinated (at least 1 dose)”
Example
If ONS reported 500 deaths Status Unvaccinated
If “NIMS Cohort” is accepted as correct at 10,000,000
and
UKHSA “Number Vaccinated (at least 1 dose)” is accepted as correct at 8,000,000
We would calculate an Unvaccinated Cohort of 2,000,000 (10,000,000 – 8,000,000)
And an Unvaccinated death rate of 500/2,000,000 = 0.025%
BUT
BBC Claim we should use ONS Population which is Lower (say by 10%) following this line
If ONS reported 500 deaths Status Unvaccinated
If “ONS Cohort” is accepted as correct at 9,000,000
We would calculate an Unvaccinated Cohort of 1,000,000 (9,000,000 – 8,000,000)
And an Unvaccinated death rate of 500/1,000,000 = 0.050%
Double the Death rate!
Anyway following this line of argument so we could rechart everything (which turned out to be impossible).
It puts the BBC and its expert and/or the ONS and/or the UKHSA in Very Hot Water
Hot Water for the BBC and Experts to Explain
A) Should we ignore the NIMS Cohort even though it shows an impressive 96.5% uptake of 1st Dose for 80 and over
B) Should we adopt the ONS Cohort even though it shows an impossible more than 100% of vaccine uptake for all age groups 60 and above
C) Should we Ignore ANY ONS reported unvaccinated deaths in the 60+ group with an ONS population base because negative people were vaccinated in these age groups when you Apply an ONS population base to Vaccine Uptake Numbers.
Tables and Calculations covering the BBC Claim will likely follow in another substack post for those interested
In short
1) We determine what is the ONS Population for 2022 from
BBC Age Group Subtractions to make to UKHSA Age NIMS Cohorts
under 5 295264 Not in Report
5 to under 12 476160
12 to under 16 272318
16 to under 18 127718
18 to under 20 127718
20 to under 24 328040
25 to under 30 366067
30 to under 35 381073
35 to under 40 368772
40 to under 45 356301
45 to under 50 337468
50 to under 55 377230
55 to under 60 381225
60 to under 65 339215
65 to under 70 286957
70 to under75 270319
75 to under 80 225881
Over 80 292274
Total Check
5,610,000
From this distribution we get an impossible Vaccination uptake data of all age groups 60 and above of more than 100%
Data from Before BBC Experts Claim Wrong Population Base of NIMS used:
NIMS reports a Population base for over 80’s of 2.981 Million
And UKHSA reports 1 dose uptake of 2.876 Million
Giving a near incredible 1st dose uptake of 96.5%
Data after applying BBC and Experts Claim ONS Population base is the one to use:
BBC and Experts claimed Population base for over 80’s of 2.981Million -0.292 Million = 2.689 Million
And UKHSA reports 1 dose uptake of 2.876 Million
Giving an Amazing BBC population base 1st dose uptake of 107% - Well Done England !!
The same extends for the 70-79 Age group and the 60-69 Age group with the BBC and its Expert(s)’s claim the UKHSA got it wrong using NIMS as a population base and should have used the ONS population base.
Interestingly the BBC did not entertain any of the Hypothesis that came with the Substack data report:
HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
You are completely correct that deaths below 18 are likely very low hence will make little difference
Note England and Wales combined populations are about 5% higher than just England so prior deaths data (if including both regions) should be multiplied by 95%
For the 10 years leading up to 2020 in England and Wales Deaths look to be around 515,000 per year
So For just England 489,000 per year which comes pretty close to the exact deaths we see recorded Jun2022 through June2023
I would suggest it is not accurate to say it is unreasonable (Without reason) but rather there is a reason; what is it ?
The analysis uses pure data only - it does not try to explain the reasons for the data - it only has one variable - the Covid-19 Vaccination Status
Populations for the age group 18-39, 40-49,50-59,60-69,70-79 and 80-89
The death rate of the unvaccinated in each age group was applied to the total population of each age group; and the results are what they are.
If you can suggest any errors in the data analysis that would be welcome
For example
a) Is there an Unvaccinated death rate that is incorrect (in any age group) so far as the official data published
b) Has the unvaccinated death rate been applied to an incorrect population base
c) Is there anything in the Hypothesis that is incorrect
With the official sets of Data we are looking at the unique thing we have here is that we are dealing with "Synchronized" Data sets so that we have
Same Time line
Same Age Groups
Same Population Base
Same region
This may be pointing to Official Data Manipulations during the Covid-19 years being reported or it may be pointing to much healthier choices in general from the populations within each age group that choose not to be Covid-19 vaccinated... All Speculation - for now the data is what it is.
And there has been a seemingly reckless population wise risk taken with Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction "vaccines" that are known to have a likely uncontrolled biodistribution (That is they spread throughout the body) and are known to have impurities and orders of magnitude longer life than mammalian natural mRNA resulting in the production of a synthetic and disease causing protein (throughout the body).
Sep 28, 2023Liked by The Nobody Who Knows EveryBody
Incredible data set! Thank you Nobody! And as John Campbell, expertly skirting the censors opines, it is (more than a little) troubling that the US and Canada stopped making this and C-19 breakthrough data available. Canada stopped reporting these daya in Nov 2021....
That's a shame , I wonder if the BBC were going to do a hit Job on him?
You can read more about the BBC and their involvement with the Trusted News Initiative (TNI). A big part of that initiative and a MAJOR partner of the TNI is Thomson Reuters.
A link that may explain a lot here (with respect to how life saving information has been censored from reaching the public by the Media including the BBC) is the role of a duplicitous James C. Smith
According to the duplicitous James C. Smith LinkedIn profile, while serving on the boards of Pfizer and Thomson Reuters Foundation, he also sits on the board of the WEF’s Partnering Against Corruption Initiative, and is a member of the WEF’s International Business Council.
If not the Public Health Authorities of the UK have a Lot to answer for I suspect.
Anyway avoiding stating any more than what the data states (If the ONS and the UKHSA data can be believed).
I wonder what people are saying to reassure us there are no concerns with respect to the Hypothesis
*HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
I agree there can be confounding factors (Both ways).
All we had was the raw data of supposedly the same age groups and same population base if the ONS and the UKHSA data is to be believed.
If there was a genuine interest from the UKHSA and ONS in monitoring potential harms of the technology , then I am sure they might have been able to add a few more fields to the data and questions that would make the data more individual such as
a) Do you take vaccines in general
b) Body Mass Index
c) Smoker ?
d) Diabetes ?
and perhaps a few other telling factors that might suggest a healthier or unhealthier proclivity
I suspect the data was only being collected to show how effective the Covid-19 vaccines were and it was unthinkable to them that it could actually be harmful.
Case in point is not counting some-one as vaccinated even though the product had been injected into them but it had not been injected for long enough (or similar conditions where the substance was Already injected by vaccination status was "not vaccinated")
Just like Studies designed to fail - for example studies on Hydroxychloroquine and Ivermectin; Data collection protocols can also be designed to show or not to show an outcome.
Speculation on confounding factors is endless and easily hijacked so the Data is presented as it is and the conclusions from the data do not make any interpretation; the death rates are the death rates (if the ONS and UKHSA data is to be believed) and the results across the board in all age groups comes out the same with that data.
All files are provided on the post along with a Hypothesis as to why we see this data result and excess deaths around the vaccinated world and record per dose adverse effects reports from health professionals that state the cause is the Covid-19 Vaccines and even record numbers of peer reviewed papers...
While the data looks to be devastating to the narrative it can always be challenged with confounding factors (ecological fallacy), claims of inconsistent population bases , Simpson's paradox and "impossible conclusions" ; far more devastating to the Narrative will be the growing awareness of the Hypothesis included in the Post - Namely:
*HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
I found the issues and have or am working on the corrections
In this case it produces a larger negative efficacy for the Vaccinations in this age group
The pointer on Pivot tables is wonderful; Ill look further into that tool as it clearly could have svaed many hours of work.
The<3 was changed to 1 because ONS data had 0 values and <3 values meaning it could only be 1 or 2
Its a relatively insignificant part of the analysis except in the low resolution areas such as the lowest Age group where deaths are far smaller in number; though even then it is not a big factor.
Once again one of the best/most helpful comments so far
Yeah, but it might still reduce the risk of dying FROM COVID because it kills so many people with heart attacks, blood clots, etc.? It's sort of like how oncologists have been seen high-fiving each other over a corpse because the tumor had been killed. Never mind that the person was killed as well, so long as they didn't die of the cancer.
I'm generally with you on the analysis. But, if we look at the yearly number of death in England, both of your calculated groups (vax: 490,475 and unvax: 334,672) show overall lower mortality figures than the expected yearly mortality in England, over 500,000. (I know, below 18's are not included in the calculation but their death rate is so low that it should not matter.) What do I overlook here? I understand that in a normal case, based on the dry tinder model, we should have lower mortality after large excess deaths in 2020-2021. But the death numbers calculated based on the unvax numbers are unreasonably low.
I had the exact same idea and have been looking for months now for the Figure 19 in the datasheet accompanying the Flu Report and never found it. This is the actual smoking gun.
This is the a.oming gun! Great job! It's staggering to think about the utter destruction and loss of life these f**king shots have caused. It has touched every single one of us whether known or unknown. This is deaths but the number of injured is even higher. Disabled millions! Worse than anything ever done to humanity in the world since the dawn of time. How do so many stay quiet? Not see it?
Thanks
Put Simply:
Using the Risk of All Cause Death for an Unvaccinated Person over a 12 month period in a specific age Group (which is easily calculated from the data) and knowing (accurately) the size of that age group we simply multiply that risk of UNVACCINATED death by the size of the age group to get the “EXPECTED” Zero Efficacy Deaths of the entire Group over the 12 months.
We then compare that expected unvaccinated all-cause death figure with the ACTUAL DATA of All-Cause Death
Example below for age group 50-59
Unvaccinated risk is simply Unvaccinated Deaths Divided by Population of Unvaccinated Group within the age group
Here it is 2224/995,075 = 0.224%
The Total Population of 50-59 is 8,269,325
So with Zero Efficacy over the 12 month period we could expect 0.224% x 8,269,325 = 18,482
But what ONS recorded for this 12 Month Period was 24,693
Note the 12 Month Period looked at the Vaccine Uptake was very steady and easy to average out with confidence
To help them take a look at it there is a three page printout in the substack with a QR post pointing back to the article; this is for putting up in public spaces (with Permission)
A direct link to the print out:
http://tribeqr.com/v/annushorribilisprintout
Sadly you are likely correct
The (Increased) Death Data we are seeing reflects those that have already succumbed to the diseases and conditions brought on my this utterly reckless mRNA technology.
The longer term consequences (And I worry particularly with fertility and new born developmental issues) are yet to surface,
Please promote the Print out so those who don't care to look into the mostly censored internet, particularly the Elderly can see and investigate through the QR code that links back to this clear evidence. It is no longer enough (though it is good) to report to those who are already awake
The print out can be quickly accessed here
http://tribeqr.com/v/annushorribilisprintout
Powerful. Anyone struggling to understand the danger of these Jabs, shots, "vaccines", bioweapons should take a look at this. Thank-you for putting this together.
Thanks Grant
looked at this BBC Hit Piece on John Campbell.
Usual Character Assassination Language including trying to tell people where they might physically find John Campbell.
BBC and Expert thinking; If the NIMS Population was wrong (too many people) the number of Unvaccinated calculated was too many hence the death rates for the unvaccinated are wrong (under estimated).
From the UKHSA report the Unvaccinated was calculated as “NIMS Cohort” less “ Number Vaccinated (at least 1 dose)”
Example
If ONS reported 500 deaths Status Unvaccinated
If “NIMS Cohort” is accepted as correct at 10,000,000
and
UKHSA “Number Vaccinated (at least 1 dose)” is accepted as correct at 8,000,000
We would calculate an Unvaccinated Cohort of 2,000,000 (10,000,000 – 8,000,000)
And an Unvaccinated death rate of 500/2,000,000 = 0.025%
BUT
BBC Claim we should use ONS Population which is Lower (say by 10%) following this line
If ONS reported 500 deaths Status Unvaccinated
If “ONS Cohort” is accepted as correct at 9,000,000
We would calculate an Unvaccinated Cohort of 1,000,000 (9,000,000 – 8,000,000)
And an Unvaccinated death rate of 500/1,000,000 = 0.050%
Double the Death rate!
Anyway following this line of argument so we could rechart everything (which turned out to be impossible).
It puts the BBC and its expert and/or the ONS and/or the UKHSA in Very Hot Water
Hot Water for the BBC and Experts to Explain
A) Should we ignore the NIMS Cohort even though it shows an impressive 96.5% uptake of 1st Dose for 80 and over
B) Should we adopt the ONS Cohort even though it shows an impossible more than 100% of vaccine uptake for all age groups 60 and above
C) Should we Ignore ANY ONS reported unvaccinated deaths in the 60+ group with an ONS population base because negative people were vaccinated in these age groups when you Apply an ONS population base to Vaccine Uptake Numbers.
Tables and Calculations covering the BBC Claim will likely follow in another substack post for those interested
In short
1) We determine what is the ONS Population for 2022 from
https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/articles/overviewoftheukpopulation/january2021
2) We calculate the NIMS Cohort (as reported) "Over Estimation" as Claimed by the BBC whihc turns out to be 5.61 Million people over England
3) We distribute this BBC Claimed Over Population according to the Age Distribution percentages we see from https://www.populationpyramid.net/united-kingdom/2022/
BBC Age Group Subtractions to make to UKHSA Age NIMS Cohorts
under 5 295264 Not in Report
5 to under 12 476160
12 to under 16 272318
16 to under 18 127718
18 to under 20 127718
20 to under 24 328040
25 to under 30 366067
30 to under 35 381073
35 to under 40 368772
40 to under 45 356301
45 to under 50 337468
50 to under 55 377230
55 to under 60 381225
60 to under 65 339215
65 to under 70 286957
70 to under75 270319
75 to under 80 225881
Over 80 292274
Total Check
5,610,000
From this distribution we get an impossible Vaccination uptake data of all age groups 60 and above of more than 100%
Data from Before BBC Experts Claim Wrong Population Base of NIMS used:
NIMS reports a Population base for over 80’s of 2.981 Million
And UKHSA reports 1 dose uptake of 2.876 Million
Giving a near incredible 1st dose uptake of 96.5%
Data after applying BBC and Experts Claim ONS Population base is the one to use:
BBC and Experts claimed Population base for over 80’s of 2.981Million -0.292 Million = 2.689 Million
And UKHSA reports 1 dose uptake of 2.876 Million
Giving an Amazing BBC population base 1st dose uptake of 107% - Well Done England !!
The same extends for the 70-79 Age group and the 60-69 Age group with the BBC and its Expert(s)’s claim the UKHSA got it wrong using NIMS as a population base and should have used the ONS population base.
Interestingly the BBC did not entertain any of the Hypothesis that came with the Substack data report:
HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
In line with the above Hypothesis :
https://drtrozzi.org/2023/09/28/1000-peer-reviewed-articles-on-vaccine-injuries/
Detre - Hi Great Comment
You are completely correct that deaths below 18 are likely very low hence will make little difference
Note England and Wales combined populations are about 5% higher than just England so prior deaths data (if including both regions) should be multiplied by 95%
For the 10 years leading up to 2020 in England and Wales Deaths look to be around 515,000 per year
So For just England 489,000 per year which comes pretty close to the exact deaths we see recorded Jun2022 through June2023
I would suggest it is not accurate to say it is unreasonable (Without reason) but rather there is a reason; what is it ?
The analysis uses pure data only - it does not try to explain the reasons for the data - it only has one variable - the Covid-19 Vaccination Status
Populations for the age group 18-39, 40-49,50-59,60-69,70-79 and 80-89
The death rate of the unvaccinated in each age group was applied to the total population of each age group; and the results are what they are.
If you can suggest any errors in the data analysis that would be welcome
For example
a) Is there an Unvaccinated death rate that is incorrect (in any age group) so far as the official data published
b) Has the unvaccinated death rate been applied to an incorrect population base
c) Is there anything in the Hypothesis that is incorrect
With the official sets of Data we are looking at the unique thing we have here is that we are dealing with "Synchronized" Data sets so that we have
Same Time line
Same Age Groups
Same Population Base
Same region
This may be pointing to Official Data Manipulations during the Covid-19 years being reported or it may be pointing to much healthier choices in general from the populations within each age group that choose not to be Covid-19 vaccinated... All Speculation - for now the data is what it is.
And there has been a seemingly reckless population wise risk taken with Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction "vaccines" that are known to have a likely uncontrolled biodistribution (That is they spread throughout the body) and are known to have impurities and orders of magnitude longer life than mammalian natural mRNA resulting in the production of a synthetic and disease causing protein (throughout the body).
Incredible data set! Thank you Nobody! And as John Campbell, expertly skirting the censors opines, it is (more than a little) troubling that the US and Canada stopped making this and C-19 breakthrough data available. Canada stopped reporting these daya in Nov 2021....
That's a shame , I wonder if the BBC were going to do a hit Job on him?
You can read more about the BBC and their involvement with the Trusted News Initiative (TNI). A big part of that initiative and a MAJOR partner of the TNI is Thomson Reuters.
A link that may explain a lot here (with respect to how life saving information has been censored from reaching the public by the Media including the BBC) is the role of a duplicitous James C. Smith
According to the duplicitous James C. Smith LinkedIn profile, while serving on the boards of Pfizer and Thomson Reuters Foundation, he also sits on the board of the WEF’s Partnering Against Corruption Initiative, and is a member of the WEF’s International Business Council.
See:https://open.substack.com/pub/thenobodywhoknowseverybody/p/world-economic-forum-and-the-trusted
Great Question
Can you see any fault with the data ?
If not the Public Health Authorities of the UK have a Lot to answer for I suspect.
Anyway avoiding stating any more than what the data states (If the ONS and the UKHSA data can be believed).
I wonder what people are saying to reassure us there are no concerns with respect to the Hypothesis
*HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
In line with the above Hypothesis :
https://drtrozzi.org/2023/09/28/1000-peer-reviewed-articles-on-vaccine-injuries/
Hi Tam,
Thanks for your comments.
I agree there can be confounding factors (Both ways).
All we had was the raw data of supposedly the same age groups and same population base if the ONS and the UKHSA data is to be believed.
If there was a genuine interest from the UKHSA and ONS in monitoring potential harms of the technology , then I am sure they might have been able to add a few more fields to the data and questions that would make the data more individual such as
a) Do you take vaccines in general
b) Body Mass Index
c) Smoker ?
d) Diabetes ?
and perhaps a few other telling factors that might suggest a healthier or unhealthier proclivity
I suspect the data was only being collected to show how effective the Covid-19 vaccines were and it was unthinkable to them that it could actually be harmful.
Case in point is not counting some-one as vaccinated even though the product had been injected into them but it had not been injected for long enough (or similar conditions where the substance was Already injected by vaccination status was "not vaccinated")
Just like Studies designed to fail - for example studies on Hydroxychloroquine and Ivermectin; Data collection protocols can also be designed to show or not to show an outcome.
http://tribeqr.com/v/gatesivermectin01
http://tribeqr.com/v/gatesivermectin02
http://tribeqr.com/v/gatesivermectin03
Speculation on confounding factors is endless and easily hijacked so the Data is presented as it is and the conclusions from the data do not make any interpretation; the death rates are the death rates (if the ONS and UKHSA data is to be believed) and the results across the board in all age groups comes out the same with that data.
All files are provided on the post along with a Hypothesis as to why we see this data result and excess deaths around the vaccinated world and record per dose adverse effects reports from health professionals that state the cause is the Covid-19 Vaccines and even record numbers of peer reviewed papers...
https://drtrozzi.org/2023/09/28/1000-peer-reviewed-articles-on-vaccine-injuries/
While the data looks to be devastating to the narrative it can always be challenged with confounding factors (ecological fallacy), claims of inconsistent population bases , Simpson's paradox and "impossible conclusions" ; far more devastating to the Narrative will be the growing awareness of the Hypothesis included in the Post - Namely:
*HYPOTHESIS
The “Vaccination” is Neither Safe Nor Effective
The Covid-19 mRNA vaccines are more accurately described as Lipid Nano Particle Synthetic Messenger RNA Genetic Instruction products that have the following wild cards:
i) A delivery system of highly inflammatory Lipid Nano Particles (LNP)
ii) An Uncontrolled body wide biodistribution of the LNPs
iii) The LNPs carry Genetic Instruction in the form of synthetic messenger RNA
iv) The synthetic nature of the messenger RNA carries the following known risks
a) Synthetic messenger RNA have an uncontrolled extended life of protein producing instructions that is ORDERS OF MAGNITUDE longer than nature’s messenger RNA.
Life, as it has evolved for mammals, has a natural off switch for the protein producing messenger RNA it creates that is limited to two days and usually a lot shorter.
b) Synthetic messenger RNA produced with warp speed indemnity has fragmented genetic instructions that come from a human factory environment compared to natural messenger RNA that is produced deep in the Nucleus of our bodies cells with a purity beyond comparison with that of a Pfizer or Moderna laboratory or manufacturing facility.
c) With the uncontrolled biodistribution of Synthetic messenger RNA there is an endless combination of extra protein producing burdens throughout the body and on its various cell types already dedicated to maintaining a delicate system and schedule of producing natural proteins such as hormones and enzymes; critical for the healthy functioning of our body.
v) The genetic instructions of the Synthetic messenger RNA are instructions to produce a known antigen (The Covid-19 Spike Protein) and it is a known cause of vasculitis and autoimmune reactions. Combining this instruction with an uncontrolled biodistribution is a predictable recipe for disaster;
a disaster that will show itself in deaths and hospitalizations when regulatory authorities fail and the Avalanche of Data is compiled.
vi) No long term safety data. Given the combinations of what is uncontrolled, unknown and divorced from the bodies natural balance, to achieve even remotely sufficient safety data would take a millennium to obtain; even with billions of guinea pigs.
Philip,
A HUGE Thank you.
I found the issues and have or am working on the corrections
In this case it produces a larger negative efficacy for the Vaccinations in this age group
The pointer on Pivot tables is wonderful; Ill look further into that tool as it clearly could have svaed many hours of work.
The<3 was changed to 1 because ONS data had 0 values and <3 values meaning it could only be 1 or 2
Its a relatively insignificant part of the analysis except in the low resolution areas such as the lowest Age group where deaths are far smaller in number; though even then it is not a big factor.
Once again one of the best/most helpful comments so far
Yeah, but it might still reduce the risk of dying FROM COVID because it kills so many people with heart attacks, blood clots, etc.? It's sort of like how oncologists have been seen high-fiving each other over a corpse because the tumor had been killed. Never mind that the person was killed as well, so long as they didn't die of the cancer.
Mind You - this is just the beginning.
The only thing I appreciate more than the effectiveness of these vaccines is their safety.
I'm generally with you on the analysis. But, if we look at the yearly number of death in England, both of your calculated groups (vax: 490,475 and unvax: 334,672) show overall lower mortality figures than the expected yearly mortality in England, over 500,000. (I know, below 18's are not included in the calculation but their death rate is so low that it should not matter.) What do I overlook here? I understand that in a normal case, based on the dry tinder model, we should have lower mortality after large excess deaths in 2020-2021. But the death numbers calculated based on the unvax numbers are unreasonably low.
Oh my GOD
I had the exact same idea and have been looking for months now for the Figure 19 in the datasheet accompanying the Flu Report and never found it. This is the actual smoking gun.
Congratulations to you!
This is the a.oming gun! Great job! It's staggering to think about the utter destruction and loss of life these f**king shots have caused. It has touched every single one of us whether known or unknown. This is deaths but the number of injured is even higher. Disabled millions! Worse than anything ever done to humanity in the world since the dawn of time. How do so many stay quiet? Not see it?