Statistical analysis is just a tool that looks at a sample to learn about a population. Anecdotal evidence means there are no controls in a study. Without controls, you can correlate and perform any statistical analysis and rationalization of your data, but it doesn't make it factual.
Climate change is real irregardless of your beliefs.
Doesn't matter. Medicine in the 1st world is evidence driven using data and actual studies to show that it is effective.
He's a medical doctor, not a witch doctor. His decision to prescribe medicine goes by clinical studies. If he makes false claims, he loses credibility. Just because the drug works for a select few, doesn't mean it will work for everyone and not cause complications. Bottom line, medicine is evidence driven, but anecdotal evidence does not make a strong case.
I did, thanks for the advice. The unemployment insurance claim website was slow and was shut down for a long time. There are a lot of people unemployed right now. I don't think we will recover so easily. I am not optimistic at all, the whole supply chain in every industry is going to be impacted by this virus.
both? I have an engineering degree but I've only worked as a tech.
We do, most of the products we sell are for government use, and a large amount were to universities. But universities are closed now.
My aunt and uncle just got infected with it in NYC. Same symptoms with breathing difficulties, aunt she was getting massive headaches as well.
FYI, people who recover from virus can have reduced lung capacity as it can permanently damage lungs. Just because it doesn't kill you doesn't mean it won't fuck up your life.
Your simple analogy is not applicable to a controlled study. You are correlating 1 factor mule kick, to a response, pain. Clinical studies are multi-factorial, they look at age, race, gender, time, etc, and interactions between factors. They consider randomization to deal with lurking variables, time trend effects, and have large sample sizes so certain factors and interactions are not found significant when they truly are. You can't expect a drug to behave the same for each person, and without strong evidence, giving drugs with little evidence of recovery is taking a trial-and-error approach on people's lives.