I think you bring up a great phrase "Basic Sanity Check"
There is no claim - Just reporting what the ONS and the UKHSA data show as respective death rate of Unvaccinated Versus vaccinated death rates if the Data from these organizations can be Trusted.
Both Organisations have a lot to answer for here including why the ONS will now stop reporting on this crucial data (Deaths by Vaccination Status)
Be great if you could delve further and provide an explanation (Beyond "something is wrong" or here is another data source that shows it can not be") as to why this data so clearly shows much larger death rates for the Vaccinated in All Age groups; so we can be absolutely sure the "Vaccines" pass the Basic Sanity check in light of 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.
Unfortunately I don`t have the time or statistical expertise to look at your analysis in detail. But since the 334k unvaccinated deaths calculation cannot be correct given that pre-pandemic England deaths were in the region of 500k, then either the ONS data is wrong, your method is wrong, or a combination of both. Whichever of these it is the upshot is you can`t determine the safety or efficacy of the vaccines from it.
IIRC, Norman Fenton has demonstrated problems with one of the recent ONS datasets so it wouldn`t surprise me if there are issues with their data. And if that so means you shouldn`t draw conclusions from that data. If the ONS was good then your analysis is definitely faulty.
I would not call the Post an Analysis - more bringing the data to the light of day in an easy to understand way.
Zero interpretation or assumptions. The death rates are from the data
The populations bases are from the Data.
Everything is there for others to follow up with way more expertise than me
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.
For your info ONS death registration will be highly accurate, for the simple reason of inheritance tax take. You are correct in challenging the fantasy threshold number that author has come up with. Looking at the ONS historical database of death registrations per year since 1838, you have to go back to the mid to late 19th century to see the crude mortality number go sub 400,000. Further more If you look at the age structure of the unvaccinated cohort he has parsed,67% is aged 18-39. In the total population he cites, the proportion of this cohort is 38%. The whole set is skewing the average weighted age much lower than the total current population. Younger people are at less risk of dying than older people. He then converts the whole of the UK into a younger population, with a death rate of 336000 and states this is normal. This is not science, its fraudulent pseudo science. the only thing his study confirms is that old people are at a higher risk of dying....wow what a bombshell.
He is taking the mortality rate of the unvaxxed in each age group and applying it to the vaxxed population OF THAT AGE GROUP and comparing to the actual mortality of the vaxxed population OF THAT AGE GROUP
The fact there are few unvaxxed old people and many unvaxxed young people is irrelevant to the operation.
At best you might say, "healthier people were less likely to take the vaccine.", but I don't think that would account for the extraordinary difference in crude mortality rate for each age group.
There is clearly something going on when the projected total mortality rate extrapolated from the unvaxxed mortality rate is so far below the usual.
Perhaps it is assumed that someone is vaxxed when they die.
Many thanks for your article. I say that ultimately the statistics can be analysed to death but the bottom line is that vaccines contain, if anything poison/foreign bodies. These cause an immune response but that is all they can do.
It has never been a good idea to poison oneself for good health.
I don't think it matters. When 154,000 vaccinated deaths are compared to 336,000 expected deaths of an unvaccinated population, you realise that the unvaccinated are dying at 2x the rate of the vaccinated. The house statistician is deliberately obfuscating definitions, to lead you to believe his idea of normal, by reframing the vaccinated deaths as an addition, and not a stand alone cohort for comparison to unvaccinated deaths.
I think you bring up a great phrase "Basic Sanity Check"
There is no claim - Just reporting what the ONS and the UKHSA data show as respective death rate of Unvaccinated Versus vaccinated death rates if the Data from these organizations can be Trusted.
Both Organisations have a lot to answer for here including why the ONS will now stop reporting on this crucial data (Deaths by Vaccination Status)
Be great if you could delve further and provide an explanation (Beyond "something is wrong" or here is another data source that shows it can not be") as to why this data so clearly shows much larger death rates for the Vaccinated in All Age groups; so we can be absolutely sure the "Vaccines" pass the Basic Sanity check in light of 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/
"
Unfortunately I don`t have the time or statistical expertise to look at your analysis in detail. But since the 334k unvaccinated deaths calculation cannot be correct given that pre-pandemic England deaths were in the region of 500k, then either the ONS data is wrong, your method is wrong, or a combination of both. Whichever of these it is the upshot is you can`t determine the safety or efficacy of the vaccines from it.
IIRC, Norman Fenton has demonstrated problems with one of the recent ONS datasets so it wouldn`t surprise me if there are issues with their data. And if that so means you shouldn`t draw conclusions from that data. If the ONS was good then your analysis is definitely faulty.
I would not call the Post an Analysis - more bringing the data to the light of day in an easy to understand way.
Zero interpretation or assumptions. The death rates are from the data
The populations bases are from the Data.
Everything is there for others to follow up with way more expertise than me
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.
For your info ONS death registration will be highly accurate, for the simple reason of inheritance tax take. You are correct in challenging the fantasy threshold number that author has come up with. Looking at the ONS historical database of death registrations per year since 1838, you have to go back to the mid to late 19th century to see the crude mortality number go sub 400,000. Further more If you look at the age structure of the unvaccinated cohort he has parsed,67% is aged 18-39. In the total population he cites, the proportion of this cohort is 38%. The whole set is skewing the average weighted age much lower than the total current population. Younger people are at less risk of dying than older people. He then converts the whole of the UK into a younger population, with a death rate of 336000 and states this is normal. This is not science, its fraudulent pseudo science. the only thing his study confirms is that old people are at a higher risk of dying....wow what a bombshell.
You are wrong.
He is taking the mortality rate of the unvaxxed in each age group and applying it to the vaxxed population OF THAT AGE GROUP and comparing to the actual mortality of the vaxxed population OF THAT AGE GROUP
The fact there are few unvaxxed old people and many unvaxxed young people is irrelevant to the operation.
At best you might say, "healthier people were less likely to take the vaccine.", but I don't think that would account for the extraordinary difference in crude mortality rate for each age group.
There is clearly something going on when the projected total mortality rate extrapolated from the unvaxxed mortality rate is so far below the usual.
Perhaps it is assumed that someone is vaxxed when they die.
According to this there have been problems with the ONS data:
https://wherearethenumbers.substack.com/p/the-office-for-no-more-statistics?utm_source=profile&utm_medium=reader2
Agree with your post otherwise.
The claim that annual deaths in England should have been around 336k if there was no Covid vaccine fails a basic sanity check:
https://youtu.be/CNCeVlpTZus
Many thanks for your article. I say that ultimately the statistics can be analysed to death but the bottom line is that vaccines contain, if anything poison/foreign bodies. These cause an immune response but that is all they can do.
It has never been a good idea to poison oneself for good health.
https://baldmichael.substack.com/p/why-vaccines-do-not-work-in-a-nutshell?utm_source=%2Fsearch%2Fvaccines&utm_medium=reader2
https://baldmichael.substack.com/p/what-is-the-flu-aka-covid-19-and
I don't think it matters. When 154,000 vaccinated deaths are compared to 336,000 expected deaths of an unvaccinated population, you realise that the unvaccinated are dying at 2x the rate of the vaccinated. The house statistician is deliberately obfuscating definitions, to lead you to believe his idea of normal, by reframing the vaccinated deaths as an addition, and not a stand alone cohort for comparison to unvaccinated deaths.
Kudos for fixing the mistake quickly.
Well done.