The tide is turning, and a more nuanced discussion around vaccines is now being had by some of the most renowned scientists & medical experts in the field.
Vaccine hesitancy is caused by one thing and one thing alone. The governments of the US (CDC), and other countries, communicated a series of incorrect and unscientific advisories that had us following the prescribed protocols only to discover later that they were bogus. Thus we lost faith and trust in the very organizations that we had long believed had people's best interests at heart. We were betrayed, so now, when are told to get our Covid (and now even measles) vaccine, there is a natural hesitancy. See my blog about how trust has been destroyed: https://secretan.com/trust-is-a-must/
This debate is so redundant, while keeping the myth of germ theory alive in the minds of the indoctrinated. The only time he got close to the truth was the chapter on terrain theory. All the pseudoscientific dribble on the efficacy or benefits of vaccines are invalid and viewed as iniquitous after learning the truth about the scam of germ theory. The levels of deceit intrinsically ingrained within the corrupt and unethical heartless soul of the not so scientific and predatory criminal enterprise that is big pharma are unmatched.
They calculated that a woman in her 20s was at greater risk of dying in a rare super volcano – which occurs once every 17,000 years – than becoming a Covid fatality.
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Not only in Germany, but also in countless other European countries - including England - infection numbers had already fallen BEFORE the introduction of draconian lockdowns:
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"Prof. Simon Wood from the School of Mathematics in Edinburgh said this calls into question claims that an earlier lockdown could have saved thousands of lives. (...) Looking at the numbers, full lockdowns were largely unnecessary to reverse the waves of infection." (...)
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The study published in the Journal of the Royal Statistical Society Series A also criticized the government for having 'deliberately distorted' the Covid risk for healthy young people. (...)
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Prof. Wood: "The general message is that the Covid risk was greatly exaggerated and the risks of the countermeasures underestimated."
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Prof. John Ioannidis from Stanford University said the study highlights a "misleading pandemic narrative" that is 'impossible to defend.' "The way science was instrumentalized during the Covid-19 pandemic by advocacy, activism, and conflicts of interest will require many years of careful investigation."
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The Telegraph has asked Imperial College for a statement...
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👇.
Covid rates were already falling before lockdown, study finds
Figures raise questions over the necessity of such harsh restrictions across England and Europe
'covid' is an abstract 'disease' definition. Rates are made up depending on variable definitions. It is bad practice to treat such a variable like it is a constant. It would be like changing the definition of speed or altitude half way thru a flight whilst telling the pilots these used fixed criteria. Something like that happened on flight 447 when the pitot tubes froze up and there was false speed readings leading to confusion and a crash:
According to this video about the great pyramid, in ancient Egypt they used a drop of water to create the centimeter as this is always the same size and much preferable to the foot which could change when a new king asked for their foot to be used instead of the old kings foot:
If you are drawing a line graph there should be separate labels and lines for each specified 'disease' categorization. For example measles categorization before smallpox definition 67 should be one color and then a new line should begin for 'measles' /'smallpox' definition 68 and then another new line for 'vaccine preventable measles' definition 69 etc. This would make clear that no further data had been collected on the old diagnostic criteria and data was not comparable with the new line. Probably shouldn't even be on the same graph at all but on separate graphs for each one with different titles.
So many deaths and injures since 2020 from the death jab and we are just now turning the tide on talking about it. What does that say about us as a people, very concerning.
Vaccine hesitancy is caused by one thing and one thing alone. The governments of the US (CDC), and other countries, communicated a series of incorrect and unscientific advisories that had us following the prescribed protocols only to discover later that they were bogus. Thus we lost faith and trust in the very organizations that we had long believed had people's best interests at heart. We were betrayed, so now, when are told to get our Covid (and now even measles) vaccine, there is a natural hesitancy. See my blog about how trust has been destroyed: https://secretan.com/trust-is-a-must/
Love your coverage. Great journalism. Keep it up! <3
This debate is so redundant, while keeping the myth of germ theory alive in the minds of the indoctrinated. The only time he got close to the truth was the chapter on terrain theory. All the pseudoscientific dribble on the efficacy or benefits of vaccines are invalid and viewed as iniquitous after learning the truth about the scam of germ theory. The levels of deceit intrinsically ingrained within the corrupt and unethical heartless soul of the not so scientific and predatory criminal enterprise that is big pharma are unmatched.
THE TELEGRAPH COVID STUDY
They calculated that a woman in her 20s was at greater risk of dying in a rare super volcano – which occurs once every 17,000 years – than becoming a Covid fatality.
.
Not only in Germany, but also in countless other European countries - including England - infection numbers had already fallen BEFORE the introduction of draconian lockdowns:
.
"Prof. Simon Wood from the School of Mathematics in Edinburgh said this calls into question claims that an earlier lockdown could have saved thousands of lives. (...) Looking at the numbers, full lockdowns were largely unnecessary to reverse the waves of infection." (...)
.
The study published in the Journal of the Royal Statistical Society Series A also criticized the government for having 'deliberately distorted' the Covid risk for healthy young people. (...)
.
Prof. Wood: "The general message is that the Covid risk was greatly exaggerated and the risks of the countermeasures underestimated."
.
Prof. John Ioannidis from Stanford University said the study highlights a "misleading pandemic narrative" that is 'impossible to defend.' "The way science was instrumentalized during the Covid-19 pandemic by advocacy, activism, and conflicts of interest will require many years of careful investigation."
.
The Telegraph has asked Imperial College for a statement...
.
👇.
Covid rates were already falling before lockdown, study finds
Figures raise questions over the necessity of such harsh restrictions across England and Europe
https://www.telegraph.co.uk/news/2026/02/12/covid-rates-falling-before-lockdown-challenges-lives-lost/
Archived 👇
https://archive.is/dVSd0
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THE STUDY
Some statistical aspects of the Covid-19 response
https://academic.oup.com/jrsssa/article/189/1/1/8180652#548721692
'covid' is an abstract 'disease' definition. Rates are made up depending on variable definitions. It is bad practice to treat such a variable like it is a constant. It would be like changing the definition of speed or altitude half way thru a flight whilst telling the pilots these used fixed criteria. Something like that happened on flight 447 when the pitot tubes froze up and there was false speed readings leading to confusion and a crash:
https://www.youtube.com/watch?v=htdGYMUCp1s
According to this video about the great pyramid, in ancient Egypt they used a drop of water to create the centimeter as this is always the same size and much preferable to the foot which could change when a new king asked for their foot to be used instead of the old kings foot:
https://www.youtube.com/watch?v=KMAtkjy_YK4
If you are drawing a line graph there should be separate labels and lines for each specified 'disease' categorization. For example measles categorization before smallpox definition 67 should be one color and then a new line should begin for 'measles' /'smallpox' definition 68 and then another new line for 'vaccine preventable measles' definition 69 etc. This would make clear that no further data had been collected on the old diagnostic criteria and data was not comparable with the new line. Probably shouldn't even be on the same graph at all but on separate graphs for each one with different titles.
https://odysee.com/@I-Rabbi-T:3/The-Truth-About-Smallpox---Kate-Sugak-Eng-2MW21.5:0
Here is an estimate of Excess Deaths from data downloaded from https://mortality.org/ for US (2020-2023) only:
1,951,853 464,819 1,481,843
Total Age 18 – 64 Age 65 – 100+
So many deaths and injures since 2020 from the death jab and we are just now turning the tide on talking about it. What does that say about us as a people, very concerning.