They are now saying my tweets are misleading. It's another lie. They are the ones who are misleading, and I will now prove it in this thread. They are lying about the safety of the vaccines:

"Why was vaccination with the COVID-19 vaccine AstraZeneca suspended?" Paul-Erlich Federal Institute for Vaccines & Biomedicines, Germany.
https://t.co/eAmtY241ug
"A specific form of severe cerebral venous thrombosis associated with platelet deficiency (thrombocytopenia) and bleeding has been identified in seven cases (as of 15 March 2021) in temporal association with vaccination with COVID-19 Vaccine AstraZeneca."
"1. It is a very serious disease that is also difficult to treat. Of the seven affected individuals, three individuals had died."
"2. The affected individuals had ages ranging from about 20 to 50 years."
"3.1. Six of the affected persons had a particular form of cerebral venous thrombosis, called sinus vein thrombosis. All six individuals were younger to middle-aged women.."
"3.2. All cases occurred between four and 16 days after vaccination with COVID-19 Vaccine AstraZeneca. This presented as a comparable pattern."
"4. The number of these cases after vaccination with COVID-19 AstraZeneca is ⚠️statistically significantly higher than the number of cerebral venous thromboses that normally occur in the unvaccinated population⚠️"
"comparing the number of cases expected without vaccination in a 14-day time window with the number of cases reported after approximately 1.6 million AstraZeneca vaccinations in Germany. About one case would have been expected, and seven cases had been reported."⚠️
"5. ⚠️The younger to middle-aged population affected by the severe cerebral venous thrombosis with platelet deficiency is not the population at high risk for a severe or even fatal COVID-19 course.⚠️"
"6. In addition to the experts from the Paul-Ehrlich-Institut, other experts in thrombosis, haematology, and an adenovirus specialist were consulted with the details of the reported cases. All experts agreed unanimously that a pattern could be discerned here"

More from Robin Monotti MA FRSA ⭐

The problem with meta-analysis like this is that it obfuscates the most important issue of treatment, which is timing.


This meta-analysis of controlled trials only looks at hospitalized patients. How long were the patients ill for before being hospitalized? One week? Two? Three? Too late for zinc ionophores (HCQ) (+ZINC? No zinc no point..) to work. Severe illness becomes bacterial in nature.

Was azythromycin administered when the bacterial infections were also too advanced? I have seen Azythromycin work with my very own eyes but that's not to say that if administered too late it may not save the patient. How many patients were given AZT & ventilated? It's all timing.

All the meta-analysis is telling us is if you leave it too late you may have missed the early window for antiviral zinc treatment (Zn+HCQ) & that if you are given AZT when you are ventilated or very severe it may too late for it to save you & corticosteroids may be last resort.

And of course antibiotics need also probiotics, or they may harm the bacterial flora which is part of the immune response. Difficult to tell from a meta-analysis how this problem was managed.

More from Category c19

Let's talk about MASKS!


Thread 1:


Masks increase mortality because breathing through them nebulizes aerosols into smaller ones which bypass mucosal immunity & reach all the way into the alveoli, leading to acute respiratory distress syndrome (ARDS).


"Aerosols..within the most breathable size range between 0.5 & 5 μm, can carry SARS-CoV-2 deep to the terminal alveoli..if this transmission pathway does exist, it would bypass the mucociliary clearance & incubation period of the virus in the upper

The filtration material itself of N95's average pore size ~0.3−0.5 μm does not block finer aerosol laden with virions penetration, not to mention surgical masks.
1/: Avicenna was a Persian scientist, who lived 1000 years ago. He put two lambs in separate cages, which had the same health conditions. But only one lamb could see a wolf that was put in a third cage. The observations were astounding. (h/t @farmer_student) ⬇️a thread⬇️


2/: Both lambs were provided with the same feed. Also, the weight was exactly the same when the experiment started. Several months later, the lamb with sight on the wolf became cranky, restless, weak, and showed a significant weight loss and signs of poor development.

3/: The lamb that was under chronic stress as it was placed in a situation of constant apparent danger died eventually. 🐑🪦 In fact, the wolf did not pose a danger at all, but this was beyond the lamb's perception.

4/: This experiment showed that increased levels of the stress hormone cortisol have a bad impact on the metabolism of mammals. And 1000 years after this experiment, we are facing a similar situation again but with the difference that we are aware of the impact of stress.

5/: Currently, we are overwhelmed with medial and governmental propaganda with respect to a common cold virus (that might hypothetically be more lethal though) that doesn't do harm to the majority of the people. Extreme global measures are taken.

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