Watch and listen carefully as Dr Bhakdi warns of the looming vaccine which will lead to your doom, his words not mine.
Open Letter from Professor Sucharit Bhakdi to German Chancellor Dr. Angela Merkel https://swprs.org/open-letter-from-professor-sucharit-bhakdi-to-german-chancellor-dr-angela-merkel/?fbclid=IwAR1nP6n6syaDKD_Hq7zu2cxDSyHvBhKOgglJINielrQY7wU8bjHyxxGZ2Bs
Open Letter
Dear Chancellor,
As Emeritus of the Johannes-Gutenberg-University in Mainz and longtime director of the Institute for Medical Microbiology, I feel obliged to critically question the far-reaching restrictions on public life that we are currently taking on ourselves in order to reduce the spread of the COVID-19 virus.
It is expressly not my intention to play down the dangers of the virus or to spread a political message. However, I feel it is my duty to make a scientific contribution to putting the current data and facts into perspective – and, in addition, to ask questions that are in danger of being lost in the heated debate.
The reason for my concern lies above all in the truly unforeseeable socio-economic consequences of the drastic containment measures which are currently being applied in large parts of Europe and which are also already being practiced on a large scale in Germany.
My wish is to discuss critically – and with the necessary foresight – the advantages and disadvantages of restricting public life and the resulting long-term effects.
To this end, I am confronted with five questions which have not been answered sufficiently so far, but which are indispensable for a balanced analysis.
I would like to ask you to comment quickly and, at the same time, appeal to the Federal Government to develop strategies that effectively protect risk groups without restricting public life across the board and sow the seeds for an even more intensive polarization of society than is already taking place.
With the utmost respect,
Prof. em. Dr. med. Sucharit Bhakdi
1. Statistics
In infectiology – founded by Robert Koch himself – a traditional distinction is made between infection and disease. An illness requires a clinical manifestation. [1] Therefore, only patients with symptoms such as fever or cough should be included in the statistics as new cases.
In other words, a new infection – as measured by the COVID-19 test – does not necessarily mean that we are dealing with a newly ill patient who needs a hospital bed. However, it is currently assumed that five percent of all infected people become seriously ill and require ventilation. Projections based on this estimate suggest that the healthcare system could be overburdened.
My question: Did the projections make a distinction between symptom-free infected people and actual, sick patients – i.e. people who develop symptoms?
2. Dangerousness
A number of coronaviruses have been circulating for a long time – largely unnoticed by the media. [2] If it should turn out that the COVID-19 virus should not be ascribed a significantly higher risk potential than the already circulating corona viruses, all countermeasures would obviously become unnecessary.
The internationally recognized International Journal of Antimicrobial Agents will soon publish a paper that addresses exactly this question. Preliminary results of the study can already be seen today and lead to the conclusion that the new virus is NOT different from traditional corona viruses in terms of dangerousness. The authors express this in the title of their paper “SARS-CoV-2: Fear versus Data”. [3]
My question: How does the current workload of intensive care units with patients with diagnosed COVID-19 compare to other coronavirus infections, and to what extent will this data be taken into account in further decision-making by the federal government? In addition: Has the above study been taken into account in the planning so far? Here too, of course, “diagnosed” means that the virus plays a decisive role in the patient’s state of illness, and not that previous illnesses play a greater role.
3. Dissemination
According to a report in the Süddeutsche Zeitung, not even the much-cited Robert Koch Institute knows exactly how much is tested for COVID-19. It is a fact, however, that a rapid increase in the number of cases has recently been observed in Germany as the volume of tests increases. [4]
It is therefore reasonable to suspect that the virus has already spread unnoticed in the healthy population. This would have two consequences: firstly, it would mean that the official death rate – on 26 March 2020, for example, there were 206 deaths from around 37,300 infections, or 0.55 percent [5] – is too high; and secondly, it would mean that it would hardly be possible to prevent the virus from spreading in the healthy population.
My question: Has there already been a random sample of the healthy general population to validate the real spread of the virus, or is this planned in the near future?
