Gain of Function Research And A Few Thoughts on Christmas

Last week I heard a lecture by Prof. Roland Wiesendanger, a physicist at the University of Hamburg. He spoke at a workshop at the University of Trier on “Conscience” organized by Mrs. Henrieke Stahl at the Institute of Slavic Studies, who is also the spokesperson for the group “7 Arguments Against Compulsory Vaccination.”

SARS-CoV-2 and the gain-of-function research

In his presentation, Prof Wiesendanger mentioned his research on the origin of the SARS-CoV-2 virus, which is available as a research document as a preprint. His work demonstrates that the virus most likely comes from gain-of-function research. The aim of this research is to modify viruses and bacteria and study their altered properties. My interviewees in my current interview study who are knowledgeable about these issues were unanimous in their opinion and made some very firm arguments that I will not list here. One of my last interviewees sits on the US military’s Covid-19 Task Force and thus in a sense represents the externally transportable opinion of the Department of Defence in the USA (because he first has to clarify what he says via his Security Clearance). He casually mentioned “gain-of-function” research as the origin of the virus. Of course, he glossed over it and said that this gain-of-function research was necessary in order to understand how the ever-increasing contact area of humans with animal habitats that have hardly been touched so far can lead to hazards. But that means nothing other than: We want to find out how the viruses in nature, which are not yet known, will behave in interaction with humans, and that is why we are researching them. The plan, according to Prof. Wiesendanger, is obviously to sequence the genome of several hundred thousand such, as yet unknown viruses in the next few years. And that also means: to examine them to see whether and to what extent the viruses can become dangerous. It is easy to imagine that in one case or another this could also lead to research with the headline: “What if…” such a virus would contain this or that other gene from humans or mice.

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The World Economic Forum (WEF) and the “measures” (NPIs) During the Pandemic

Our new study is published

For some time now, I have been conducting expert interviews documenting how various experts from science, the media, politics and civil society assess the pandemic, what factors they see at work, what their views are. Every now and then the idea comes up, that the World Economic Forum (WEF), which Prof. Klaus Schwab set up many years ago, could play a role.

I thought for a while about whether and how this theory could be tested. In the end, I came up with the idea that one could use the number of Young Global Leaders (YGL) that the WEF has trained over the years as a parameter and relate it to the intensity of “non-pharmaceutical interventions” (NPI), popularly and hereafter referred to as “measures”. This is what we, my colleague Johannes Klement and I, then did, at two points in time: at the beginning of the corona crisis, i.e. in March 2020, and at the second peak in the winter of 2020/2021. The study is now published in the peer-reviewed online journal “Cureus” and can be freely downloaded [1]. (Cureus is an interesting journal, by the way; our immunology survey was already published there [2]. It is a journal based in California and started by physicians who proceed without “conflict of interest” and very openly. It is peer-reviewed, usually with 3, at least 2 reviews.)

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Covid-19 Vaccinations Do More Harm Than Good

Now We Have It in Black And White

In July, Mörl, Günther and Rockenfeller published a high-profile paper in the peer-reviewed online journal Frontiers in Medicine [1]. They compared the number of adverse events in the five pivotal trials of the Covid-19 vaccine with the number of adverse events in the control groups, as well as the number of severe Covid-19 cases in both groups, and calculated a harm-benefit ratio. If this is less than 1, then the vaccines do more good than harm. If it is greater than 1, they do more harm than good. Only two studies had a harm-benefit ratio smaller than 1, but very close to 1 (0.9 and 0.6). The authors point out that it would probably be reasonable to expect a harm-benefit ratio much smaller than 0.1, that is, ten more severe courses among control cases than among vaccinated people.

Clearly, this is not the case. In the BioNTech study, the ratio is actually very large at 25. This means that 25 times more serious side effects are registered in the vaccination group than in the control group. In the Moderna study, the ratio of 1.1 is about the same, but also far from favourable. They do not interpret the Sputnik pivotal study because the ratio there is negative, which is hardly credible.

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Why People in Germany Get Vaccinated

Our vaccination motivation study is now published in BMJ Open

On January 6th, 2022, I had referred to the preprint of our study “Why do people consent to receiving SARS-CoV2 vaccinations – A representative survey in Germany” and discussed it in detail there [1].

Now it has been published in British Medical Journal Open (BMJ Open) [2]. The content has not changed from the preprint, so I won’t go into detail about the study again now. Only one additional analysis was added at the request of a reviewer.

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Meta-Review: The Backbone of Evidence Based Medicine Is Weak

Only about 6 percent of all interventions used in medicine have sufficiently good data and are effective

Our new meta-review shows: The backbone of Evidence Based Medicine is weak

Regular readers of my texts know that I am very sceptical about the postmodern redemption narrative of modern medicine that proclaims: We live so long and do so well because modern medicine has made such tremendous advances. Therefore, everything that modern pharmacology brings us is good, welcome and worthy of support (and should be funded by the public).

Even the legendary social physician Thomas McKeown from Birmingham pointed out in the 1970s that this widespread popular opinion is most likely wrong and said in the introduction to his still very readable work “The Role of Medicine: Dream, Mirage, or Nemesis?” [1,2]: If he were St. Peter, he would only allow two types of doctors into heaven, namely trauma surgeons and dentists. Because those would be the only ones who really contributed to a reduction of suffering. The real progress and thus the extension of life span and the improvement of quality of life would not be due to medicine, but to socio-political progress, better nutrition, hygiene and living conditions without constant fear of hardship and death.

Well, that was in the 70s. Maybe it’s different today? We did a very large meta-study to answer the question of how good the data is for medical interventions in general. It has now been published in the Journal of Clinical Epidemiology [3]. I discuss the study and its findings in a little more detail in this blog. For those in a hurry: the data has not changed much. A maximum of 6 percent of all interventions used in medicine, no matter where, are covered by good data.

Only for a limited time (until 08-22-2022) the meta-review is freely accessible at: https://authors.elsevier.com/c/1fIHz3BcJQAobl

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