Anonymous ID: 7c1de0 June 4, 2020, 8:09 p.m. No.9477921   🗄️.is 🔗kun   >>8322

>>9477765

 

Thank You Baker!

 

When foreign news is moar accurate than Domestic news:

 

Rush to trash hydroxychloroquine based on faulty Surgisphere data exposes fundamental flaws in profit-based medical ‘science’

June 4, 2020 Updated

 

As the WHO and prestigious medical journal the Lancet back away from questionable data provided by healthcare analytics firm Surgisphere, ulterior motives for the rush to demonize hydroxychloroquine become clear.

The World Health Organization (WHO) sheepishly resumed testing the off-patent malaria drug hydroxychloroquine on coronavirus patients on Wednesday after pausing that arm of its ‘Solidarity’ clinical trial based on data that appeared to show the drug contributed to higher death rates among test subjects. That data, it turned out, came from a tiny US healthcare analytics firm called Surgisphere, and calling it faulty would be excessively charitable.

 

Not only is Surgisphere a company lacking in medical expertise – its employees included an “adult” entertainer and a science-fiction writer – but its CEO Sapan Desai co-authored two of the damning studies that used the firm’s data to smear hydroxychloroquine, already thoroughly demonized in the media thanks to its promotion by US President Donald Trump, as a killer. All data is sourced to a proprietary database supposedly containing a veritable ocean of real-time, detailed patient information yet curiously absent from existing medical literature.

 

The Surgisphere-tainted study appeared to show increased risk of in-hospital deaths and heart problems with no disease-fighting benefits, confirming the suspicions of medical-industry naysayers already inclined to hate the off-patent drug due to the lack of profit potential and Trump’s incessant boosterism. Italy, France, and Germany rushed to ban hydroxychloroquine, citing “an increased risk for adverse reactions with little or no benefit.”….

 

https://www.rt.com/news/490734-hydroxychloroquine-faulty-data-science-flaw/