Stay skeptical. Come to your own conclusions.
How is it that our national strategy of making COVID-19 decisions based on data, when all of our data is dubious at best, and seems sub-optimal?
It would be great if scientists and computer modellers hadn’t blown all their credibility over the past few decades with global warming hysteria.
An example is the updated NYC Covid-19 numbers. Note the cases with no underlying conditions:
The NYC numbers are cooked so that “if it died, and it tested positive for Covid-19, book it”.
Dr. Sucharit Bhakdi, Professor Emeritus of Medical Microbiology at the Johannes Gutenberg University Mainz, “…the mistake is being made worldwide to report virus-related deaths as soon as it is established that the virus was present at the time of death – regardless of other factors. This violates a basic principle of infectiology: only when it is certain that an agent has played a significant role in the disease or death may a diagnosis be made. The Association of the Scientific Medical Societies of Germany expressly writes in its guidelines: In addition to the cause of death, a causal chain must be stated, with the corresponding underlying disease in third place on the death certificate. Occasionally, four-linked causal chains must also be stated.”
This is the IMHE_UW model for COVID-19, the new US standard. It was put out several days ago (post lockdown). It projects New York State will have 50,000 hospitalizations as of March 30. Instead, NYS has 12,000. Wrong by 4x in under a week: http://covid19.healthdata.org/projections .
Note: Here is a Model: -2.2 million could die in US because of coronavirus (1 week later) -100,000-200,000 could die (1 week later) Fauci: “I’ve looked at all the models, I’ve spent a lot of time on the models. They don’t tell you anything. You can’t really rely on models.” Facts: -10 million Americans unemployed -Socialist government takeover -Google creating an app to track people and enforce social distancing -Police shutting down private businesses/fining citizens who don’t obey -Surfers being arrested in the Pacific Ocean -Huge uptick in suicide hotline calls
The President of Germany’s Koch Institute confirmed test-positive deceased people are counted as “corona deaths” regardless of the real cause: “We consider someone with a coronavirus infection to be a corona death”.
According to Professor Walter Ricciardi, only 12% of the test-positive deceased in Italy considered the coronavirus as a causal factor, which corresponds to a few dozen people per day. The normal all-cause mortality in Italy is around 1800 people per day. The situation in Italy has less to do with coronavirus than with local risk factors such as extreme air pollution, mass panic, collapsed health system, curfews. The median age of the deceased is around 80 years, 99% had previous illnesses.
How, then, is a distinction to be made between genuine corona-related deaths and accidental virus present at the time of death?” This seems critical to forming a more refined response.
Dr. John P.A. Ioannidis, Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, Stanford University published a paper: Coronavirus disease 2019: the harms of exaggerated information and non-evidence-based measures, ” “It is important to differentiate promptly the true epidemic from an epidemic of false claims and potentially harmful actions”. Here is the link to the paper:
Is the most important indicator for judging the danger of COVID-19 reported number of positive-tested persons/deaths, or of persons actually/unexpectedly developing/dying from pneumonia (excess mortality).
A healthy population can expect to experience mild/moderate Covid-19 disease symptoms. An accurate breakdown and understanding of actually caused of death are critical to a more nuanced response.