Yes, it would require a large epidemiological study. However, we have a mechanism of action, we have observed outcomes. We can compare historical datab prejab with post jab, and by month of jab rollout and with reference to what proportion of the population are jabs. Dead rates from various conditions in jabbed vs. unjabbed. The studies would be relatively easy to do. Finding the political willpower and wherewithal to actually do them and risk upsetting the narrative is likely a whole other ballgame.
Igor's analysis is frightening, as is the fact you have found possible examples of this effect. It is worrying that the authors of the paper see this is as a reason for promoting even more injections, when the problems that Igor points out are glaringly obvious. Then again, if they had stated this themselves, the paper would never have come to light!
This is something I've seen quite a bit since the covid fraud started. The authors of a paper will write conclusions that are not supported by the evidence they provided, and will say so in a manner that displays a confidence that, I would suspect, is not the kind of language regularly used in scientific study.
The perception I got was that there were "good guys" who wanted to get information out, so they added the necessary dogma to their paper to get published. There's no way of knowing if this is true, but the repetition of this pattern is eye opening. If this is the case, it also sheds some light on the shoddy process of peer review. For this paper, wouldn't a colleague challenge the incongruity between evidence and conclusion? Do the reviewers skim the conclusion for the proper dogma and add their stamp of approval? Mounting evidence suggests this is the case.
I agree with this perception and have seen many instances of it too. Having been a part of academia for two decades, and run the gauntlet of peer review about 100 times, and also been a peer reviewer and on editorial boards innumerable times, I can say that the system is deeply flawed, and corrupt, and was more about gate-keeping than quality control, even way before all this politicization.
Their Goal is to frighten people and to convince them to allow the Philippines GOVERNMENT to take control of food production and distribution. At the same time they ignore the already NORMAL Statistics of 100+ DAILY DEATHS OF CHILDREN from Starvation in the Philippines. Listen to the lies below.
Aside from what is listed (and of course Monkeypox), there are also 'new' nipah, langya, tuberculosis, pneumonia, and measles popping different parts of the world. Few more viruses, but I don't remember right now. This is a good site I occasionally visit https://www.thailandmedical.news
How can a link be established (proven) between 1) the resurgence of dormant diseases, or an increase in the prevalence of already circulating diseases, 2) the level of Covid injections in the population? Is this a job for AI? I suppose it would be a huge project, with tons of epidemiological data spanning many countries, and that only courageous scientists with lots of time and energy could dare to undertake.
Yes, it would require a large epidemiological study. However, we have a mechanism of action, we have observed outcomes. We can compare historical datab prejab with post jab, and by month of jab rollout and with reference to what proportion of the population are jabs. Dead rates from various conditions in jabbed vs. unjabbed. The studies would be relatively easy to do. Finding the political willpower and wherewithal to actually do them and risk upsetting the narrative is likely a whole other ballgame.
Igor's analysis is frightening, as is the fact you have found possible examples of this effect. It is worrying that the authors of the paper see this is as a reason for promoting even more injections, when the problems that Igor points out are glaringly obvious. Then again, if they had stated this themselves, the paper would never have come to light!
This is something I've seen quite a bit since the covid fraud started. The authors of a paper will write conclusions that are not supported by the evidence they provided, and will say so in a manner that displays a confidence that, I would suspect, is not the kind of language regularly used in scientific study.
The perception I got was that there were "good guys" who wanted to get information out, so they added the necessary dogma to their paper to get published. There's no way of knowing if this is true, but the repetition of this pattern is eye opening. If this is the case, it also sheds some light on the shoddy process of peer review. For this paper, wouldn't a colleague challenge the incongruity between evidence and conclusion? Do the reviewers skim the conclusion for the proper dogma and add their stamp of approval? Mounting evidence suggests this is the case.
I agree with this perception and have seen many instances of it too. Having been a part of academia for two decades, and run the gauntlet of peer review about 100 times, and also been a peer reviewer and on editorial boards innumerable times, I can say that the system is deeply flawed, and corrupt, and was more about gate-keeping than quality control, even way before all this politicization.
Their Goal is to frighten people and to convince them to allow the Philippines GOVERNMENT to take control of food production and distribution. At the same time they ignore the already NORMAL Statistics of 100+ DAILY DEATHS OF CHILDREN from Starvation in the Philippines. Listen to the lies below.
President Marcos Lying Video:
https://youtu.be/9K1gGytNkhs
ANOTHER Lying POLITICIAN:
https://youtu.be/YL_aHMr9zd4
And another Liar:
https://youtu.be/YL_aHMr9zd4
BUT this week they say we have TOO MUCH FOOD AND IT'S THE FARMERS FAULT:
https://www.philstar.com/business/2022/09/09/2208531/farmers-not-blame-vegetable-oversupply-traders-say
"6.1 billion people vaccinated worldwide"
I am so so skeptical of that claim by the narrative.
Aside from what is listed (and of course Monkeypox), there are also 'new' nipah, langya, tuberculosis, pneumonia, and measles popping different parts of the world. Few more viruses, but I don't remember right now. This is a good site I occasionally visit https://www.thailandmedical.news
How can a link be established (proven) between 1) the resurgence of dormant diseases, or an increase in the prevalence of already circulating diseases, 2) the level of Covid injections in the population? Is this a job for AI? I suppose it would be a huge project, with tons of epidemiological data spanning many countries, and that only courageous scientists with lots of time and energy could dare to undertake.