Originally Posted by
TiredSoul
You can make all the assumptions you like but if your data is flawed then the conclusion is flawed.
Let’s just start with one of the more outrageous examples to get a point across:
President declares Tanzania COVID free after because of herbal tea and prayers.
https://www.bbc.com/news/world-africa-52966016
There is no such thing as reliable data from any African country. That’s not racist.
They simply don’t have the health care system infrastructure to even remotely being able to take care of a population let alone during a global pandemic.
Using data that is so blatantly inaccurate is akin to falsification.
https://www.bbc.com/news/world-africa-55674139
Lets say a random county has a population of 1.000.000 and you test 5000 people and 1000 test positive then what do you do?
Celebrate and say only 0.1% has COVID or extrapolate and state 20% of your population has likely been infected and you have a problem on your hands?
Some countries barely have any testing capability so how can you ever assume that data is an accurate representation?
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485446/
I posted the links above, there are major trials going on supported by real money. The data was good enough to start large 1st world trials.