"COVID-19 vaccines designed to elicit neutralising antibodies may sensitise vaccine recipients to more severe disease than if they were not vaccinated. Vaccines for SARS, MERS and RSV have never been

"data generated in the development & testing of these vaccines suggest a serious mechanistic concern: that vaccines designed empirically using the traditional approach (consisting of the unmodified or minimally modified coronavirus viral spike to elicit neutralising antibodies)"
"be they composed of protein, viral vector, DNA or RNA and irrespective of delivery method, may worsen COVID-19 disease via antibody-dependent enhancement (ADE)."
"This risk is sufficiently obscured in clinical trial protocols and consent forms for ongoing COVID-19 vaccine trials that adequate patient comprehension of this risk is unlikely to occur, obviating truly informed consent by subjects in these trials."
"Covid-19: vaccination roll-out correlates with worse mortality trends" @InProportion2
https://t.co/MbAoJDXI2A

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.

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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.