COVER-UP: ‘PfizerGate’, Governments Worldwide Hiding Data That Show Covid Vaccines Damage The Immune System & Cause AIDS
SM
Source – dailyexpose.uk
The PfizerGate Scandal: Governments worldwide are hiding data to disguise the fact the Covid Vaccines damage the Immune System and cause AIDS
Health authorities around the world are manipulating figures in an attempt to hide from the general public that the Covid-19 injections are causing the fully vaccinated to develop Vaccine Acquired Immune Deficiency Syndrome; and we can prove it…
By a concerned reader
The Chairman of the South African Medical Association. Dr. Angelique Coetzee, discovered the Omicron variant in South Africa in November 2021. Being a practicing GP during a pandemic, she saw plenty of Omicron cases and deduced from these that it lead to a mild form of the flu.
The term ‘mild’ is very specific in medicine. Dr Coetzee explains what she means by the term to the German Die Welt newspaper as follows…
“I am a clinician and based on the clinical picture there are no indications that we are dealing with a very serious disease. The course is mostly mild. I’m not saying you won’t get sick if you’re mild,”
“The definition of mild COVID-19 disease is clear, and it is a [World Health Organization] definition: patients can be treated at home and oxygen or hospitalization is not required,”
“A serious illness is one in which we see acute pulmonary respiratory infections: people need oxygen, maybe even artificial respiration. We saw that with Delta—but not with Omicron. So I said to people, ‘I can’t say it like that because it’s not what we’re seeing.’”
So according to the discoverer of Omicron, the chairperson of the South African Medical Association, Omicron is a mild form of the flu which did not cause hospitalisation or require oxygen and was not an acute respiratory infection like Delta.
Of course this is not what the gene corrupting drug pushers want you to hear. So she went on to reveal that ‘European officials’ pressurized her to deny this truth.
Dr Coetzee explains…
South Africa was 23% fully vaccinated in November 2021. So this means that Omicron is a mild flu for the unvaccinated. It does not cause hospitalisation and does not require oxygen and does not result in acute respiratory infection like Delta. And furthermore this is being covered up by European governments.
South Africa, being in the Southern Hemisphere, is in Summer during November (our May). We know that mild flu does not send people to hospital in May in any numbers.
So it’s strange to find so many people being hospitalised in Australia, another Southern Hemisphere country, with Omicron. But not so strange when you realise that they are fully vaccinated.
The only viable explanation is that people are suffering from VAIDS in order to make it into hospital with flu during summer, and we first saw full blown VAIDS in the New South Wales (NSW) figures for Omicron cases from 2022 January 1st -8th…
There we saw a 2,085 to 194.4 or 10.72 to 1 case rate ratio and a 159,325 to 787 or 202.5:to 1 case ratio. In other words 99.5% of their Omicron cases were in the fully vaccinated and one half of one percent of cases were in the unvaccinated. But the minute these figures were published by the Expose on January 28th, the State Government started rigging them to cover up the vaccine generated catastrophe as follows…
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220113.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220120.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220201.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220204.pdf
The unvaxxed Omicron cases went from 2,775 on Jan1 to 3,552 on Jan8 to 4,644 on Jan15 to 72,772 on Jan22 !
Whereas the doubly vaxxed Omicron cases went from 108,056 to 267,381 to 372,912 to 438, 255.
The Jan1 report was published on Jan13, the Jan8 report on Jan20, the Jan15 report on Feb1 and the Jan22 report on Feb4. The Jan8 report says that it was published on Feb4 which is garbage because we knew its contents before Jan28 and because its URL is .20220120 or Jan20, 2022 – DOH!
So by Feb8, the government of NSW had engineered a scenario where the 202.5 to 1 case ratio between the double dosed and the undosed had fallen to 65,343 to 68,128 or 0.95 to 1. There were now more Omicron cases in the unvaxxed than in the double vaxxed, not withstanding the fact that 95% of NSW is double vaxxed! I think they overcooked that one a bit!
So in the first 2 weeks of the year you were 10x more likely to catch Omicron if you were vaxxed. But by the 3rd week, you were 20x more likely to catch it if you were unvaxxed.
That is the most obvious and sickening fraud by the Australian State government.
The minute the Expose article pointed out that NSW government stats showed that vaccines were causing Australians to fall ill. The State government falsified their stats in the most amateur manner imaginable. They have now demonstrated publicly to the whole world, that the health of Australians is not as important to them as selling vaccines.
Indeed that heartless administration has now become no different to any other gutter drug pusher that ever defiled the bodies of his victims for profit. This is the Australian arm of the Pfizergate Vaccine damage cover up. But it is by no means limited to Kangaropolis. Let’s have a full look at Canada, the land of the Moose.
But one can use the wayback machine of web.archive.org to get them with extreme difficulty. The way back machine spends 95% of its time giving you the last report it cached and refusing to give you the next report you have asked for (even if it has that report). If you wish to spend a few millennia wrestling with a really annoying AI please visit – https://web.archive.org/web/*/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
The machine is perfectly capable of failing to load a page at least 10x then loading 25% of it, then 50% of it, then 75% of it then forgetting what it has loaded and starting all over again. Better still it can give you an html page of its cases following vaccination section with the cases by vax table from one report and with the wording of the populations with various vaccination statuses from another report.
Fortunately the population wording quotes figures from the cases table. So one can spot the mistake and match things up correctly. The pdfs it has stored are OK of course. But it was quite a jigsaw to put together. The whole story with the links is laid out in the Appendix to this article.
Secondly it gives cumulative figures dating back to the start of vaccination (or before that even). In this way the fine detail of the present week is hidden in amongst all the other weeks data since vaccination began in December 2020. We solve this by subtracting two cumulative figures ending on dates one week apart.
Thirdly and most cynically, they apply the European 2013 age standardising morality formula to case numbers and hospitalisations. Public Health Scotland does the same thing. It is an outright fraud. Yes death rates are heavily effected by the age of the patient. But cases rates are not. One cannot apply a mortality compensator to a statistic that does not involve mortality. THAT IS FRAUD PURE AND SIMPLE.
One might as well compensate the case rates with how good people are at cooking spaghetti in the different age bands. It would be no less valid.
So to get the unvaxxed case rates per 100k of unvaxxed population we first need the Population of Canada – https://statistique.quebec.ca/en/produit/tableau/population-by-age-group-canada-and-regions
38,246,108 total less 1,882,571 (aged 0-4) less 2,044,238 (aged 5-9) less 40% of 2,091,276 (aged 10-14) or 836,510 = 33,482,789 aged 12 and over.
33,482,789. 33.5 million 12 years old and over to 1 decimal place.
36,363,537. 36.4 million 5 years old and over to 1 decimal place.
The Reports used for the analysis can all be viewed here –
Here are the raw cumulative data from the Epidemiological-summary-of-COVID-19-cases produced by the Canadian Government from 2021October2 to 2022January22
Here are the cases, hospitalisations and deaths by vaccine status by week (except for the 14 day period from Dec4-18 wherein Dec11 was omitted due it being prepared around Christmas presumably). These are deduced from the table above by subtracting one weeks cumulative figures from the previous weeks cumulative figures. Then we deduce the case rate, the hospital visit rate and the death rate per 100k from the population figures in column2. Then we deduce the Immune/Vaccine efficiency percentage using the normalised case rate ratio formula of Pfizer.
SM
Source – dailyexpose.uk
- “…Politicians are frauds: Politicians have somehow all morphed into Pharmaceutical Sales Representatives. It is the most incredible thing to see politicians begging people to take a 3rd flu shot, whilst refusing to fund even one dose of so many life saving anti cancer drugs. How has this happened? Well the fraud is Global and it involves Vaccines. And all Gobal Vaccination roads that I have gone down lead to one outfit. The Bill and Melinda Gates foundation”
The PfizerGate Scandal: Governments worldwide are hiding data to disguise the fact the Covid Vaccines damage the Immune System and cause AIDS
Health authorities around the world are manipulating figures in an attempt to hide from the general public that the Covid-19 injections are causing the fully vaccinated to develop Vaccine Acquired Immune Deficiency Syndrome; and we can prove it…
By a concerned reader
The Chairman of the South African Medical Association. Dr. Angelique Coetzee, discovered the Omicron variant in South Africa in November 2021. Being a practicing GP during a pandemic, she saw plenty of Omicron cases and deduced from these that it lead to a mild form of the flu.
The term ‘mild’ is very specific in medicine. Dr Coetzee explains what she means by the term to the German Die Welt newspaper as follows…
“I am a clinician and based on the clinical picture there are no indications that we are dealing with a very serious disease. The course is mostly mild. I’m not saying you won’t get sick if you’re mild,”
“The definition of mild COVID-19 disease is clear, and it is a [World Health Organization] definition: patients can be treated at home and oxygen or hospitalization is not required,”
“A serious illness is one in which we see acute pulmonary respiratory infections: people need oxygen, maybe even artificial respiration. We saw that with Delta—but not with Omicron. So I said to people, ‘I can’t say it like that because it’s not what we’re seeing.’”
So according to the discoverer of Omicron, the chairperson of the South African Medical Association, Omicron is a mild form of the flu which did not cause hospitalisation or require oxygen and was not an acute respiratory infection like Delta.
Of course this is not what the gene corrupting drug pushers want you to hear. So she went on to reveal that ‘European officials’ pressurized her to deny this truth.
Coetzee did not specify which officials told her to keep quiet. She did say that South African officials did not try to pressure her. She claimed that she was criticized by authorities in both the United Kingdom and the Netherlands.“I was told not to publicly state that it was a mild illness. I have been asked to refrain from making such statements and to say that it is a serious illness. I declined,”
Dr Coetzee explains…
These things were reported in several news sources on February 10th.“What I said at one point—because I was just tired of it—was: In South Africa, this is a mild illness, but in Europe, it is a very serious one. That’s what your politicians wanted to hear.”
South Africa was 23% fully vaccinated in November 2021. So this means that Omicron is a mild flu for the unvaccinated. It does not cause hospitalisation and does not require oxygen and does not result in acute respiratory infection like Delta. And furthermore this is being covered up by European governments.
South Africa, being in the Southern Hemisphere, is in Summer during November (our May). We know that mild flu does not send people to hospital in May in any numbers.
So it’s strange to find so many people being hospitalised in Australia, another Southern Hemisphere country, with Omicron. But not so strange when you realise that they are fully vaccinated.
The only viable explanation is that people are suffering from VAIDS in order to make it into hospital with flu during summer, and we first saw full blown VAIDS in the New South Wales (NSW) figures for Omicron cases from 2022 January 1st -8th…
The Australian Cover Up
There we saw a 2,085 to 194.4 or 10.72 to 1 case rate ratio and a 159,325 to 787 or 202.5:to 1 case ratio. In other words 99.5% of their Omicron cases were in the fully vaccinated and one half of one percent of cases were in the unvaccinated. But the minute these figures were published by the Expose on January 28th, the State Government started rigging them to cover up the vaccine generated catastrophe as follows…
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220113.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220120.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220201.pdf
https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20220204.pdf
The unvaxxed Omicron cases went from 2,775 on Jan1 to 3,552 on Jan8 to 4,644 on Jan15 to 72,772 on Jan22 !
Whereas the doubly vaxxed Omicron cases went from 108,056 to 267,381 to 372,912 to 438, 255.
The Jan1 report was published on Jan13, the Jan8 report on Jan20, the Jan15 report on Feb1 and the Jan22 report on Feb4. The Jan8 report says that it was published on Feb4 which is garbage because we knew its contents before Jan28 and because its URL is .20220120 or Jan20, 2022 – DOH!
So by Feb8, the government of NSW had engineered a scenario where the 202.5 to 1 case ratio between the double dosed and the undosed had fallen to 65,343 to 68,128 or 0.95 to 1. There were now more Omicron cases in the unvaxxed than in the double vaxxed, not withstanding the fact that 95% of NSW is double vaxxed! I think they overcooked that one a bit!
So in the first 2 weeks of the year you were 10x more likely to catch Omicron if you were vaxxed. But by the 3rd week, you were 20x more likely to catch it if you were unvaxxed.
That is the most obvious and sickening fraud by the Australian State government.
The minute the Expose article pointed out that NSW government stats showed that vaccines were causing Australians to fall ill. The State government falsified their stats in the most amateur manner imaginable. They have now demonstrated publicly to the whole world, that the health of Australians is not as important to them as selling vaccines.
Indeed that heartless administration has now become no different to any other gutter drug pusher that ever defiled the bodies of his victims for profit. This is the Australian arm of the Pfizergate Vaccine damage cover up. But it is by no means limited to Kangaropolis. Let’s have a full look at Canada, the land of the Moose.
The Canadian Cover Up
The Canadian government uses a multi stage cover up. Firstly it is almost impossible to get back issues of its Epidemiological summaries. The Australians make all their back issues available as links to pdfs. Not so the Canadians. They make nothing available other the the present report.But one can use the wayback machine of web.archive.org to get them with extreme difficulty. The way back machine spends 95% of its time giving you the last report it cached and refusing to give you the next report you have asked for (even if it has that report). If you wish to spend a few millennia wrestling with a really annoying AI please visit – https://web.archive.org/web/*/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
The machine is perfectly capable of failing to load a page at least 10x then loading 25% of it, then 50% of it, then 75% of it then forgetting what it has loaded and starting all over again. Better still it can give you an html page of its cases following vaccination section with the cases by vax table from one report and with the wording of the populations with various vaccination statuses from another report.
Fortunately the population wording quotes figures from the cases table. So one can spot the mistake and match things up correctly. The pdfs it has stored are OK of course. But it was quite a jigsaw to put together. The whole story with the links is laid out in the Appendix to this article.
Secondly it gives cumulative figures dating back to the start of vaccination (or before that even). In this way the fine detail of the present week is hidden in amongst all the other weeks data since vaccination began in December 2020. We solve this by subtracting two cumulative figures ending on dates one week apart.
Thirdly and most cynically, they apply the European 2013 age standardising morality formula to case numbers and hospitalisations. Public Health Scotland does the same thing. It is an outright fraud. Yes death rates are heavily effected by the age of the patient. But cases rates are not. One cannot apply a mortality compensator to a statistic that does not involve mortality. THAT IS FRAUD PURE AND SIMPLE.
One might as well compensate the case rates with how good people are at cooking spaghetti in the different age bands. It would be no less valid.
So to get the unvaxxed case rates per 100k of unvaxxed population we first need the Population of Canada – https://statistique.quebec.ca/en/produit/tableau/population-by-age-group-canada-and-regions
38,246,108 total less 1,882,571 (aged 0-4) less 2,044,238 (aged 5-9) less 40% of 2,091,276 (aged 10-14) or 836,510 = 33,482,789 aged 12 and over.
33,482,789. 33.5 million 12 years old and over to 1 decimal place.
36,363,537. 36.4 million 5 years old and over to 1 decimal place.
The Reports used for the analysis can all be viewed here –
- Oct 2 – https://web.archive.org/web/20211020075926/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Oct 9 – https://web.archive.org/web/20211027154438/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html#a9
- Oct 9 – https://web.archive.org/web/20211102202548/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Oct 16 – https://web.archive.org/web/20211104153557/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Oct 23 – https://web.archive.org/web/20211112151805/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Oct 30 – https://web.archive.org/web/20211120122253if_/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Nov 6 – https://web.archive.org/web/20211128152117/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html (incorrectly labelled as Nov13)
- Nov 6 – https://web.archive.org/web/20211128000628/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html (Nov6 pop Nov13 Cases)
- Nov13 – https://web.archive.org/web/20211207205042/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Nov 20 – https://web.archive.org/web/20211211000508/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Nov 27 – https://web.archive.org/web/20211218044638/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Dec 4 – https://web.archive.org/web/20211223170506/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Dec 4 – https://web.archive.org/web/20211223231903/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Dec 11 – https://web.archive.org/web/20220103173009/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Dec 18 – https://web.archive.org/web/20220108083517/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Dec 25 – https://web.archive.org/web/20220117211207/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Jan 1 – https://web.archive.org/web/20220124194636/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Jan 8 – https://web.archive.org/web/20220201164337/https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
- Jan 15 – https://web.archive.org/web/20220206015044/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
- Jan 22 – https://web.archive.org/web/20220209162204/https://health-infobase.canada.ca/src/data/covidLive/Epidemiological-summary-of-COVID-19-cases-in-Canada-Canada.ca.pdf
Here are the raw cumulative data from the Epidemiological-summary-of-COVID-19-cases produced by the Canadian Government from 2021October2 to 2022January22
Here are the cases, hospitalisations and deaths by vaccine status by week (except for the 14 day period from Dec4-18 wherein Dec11 was omitted due it being prepared around Christmas presumably). These are deduced from the table above by subtracting one weeks cumulative figures from the previous weeks cumulative figures. Then we deduce the case rate, the hospital visit rate and the death rate per 100k from the population figures in column2. Then we deduce the Immune/Vaccine efficiency percentage using the normalised case rate ratio formula of Pfizer.