Comments by "whyamimrpink78" (@whyamimrpink78) on "Americans flock to public places for Memorial Day" video.
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@pidayrocks2235 I agree, you cannot test the entire population which makes this issue more complex than what you are making it out to be. You cannot take the confirmed cases and the deaths and simply use those two number to come up with a mortality rate. The reason are
1. There are many who were not tested
2. Almost all who died were old and/or sick to begin with, thus you cannot say to what degree the virus played a role in the death
3. The overall data set is low. 100,000 deaths is around 0.02% of the overall population, that is small.
On the last point, let us use a left wing talking point when they say X amount die every year due to lack of access to healthcare. When you look at those values they range from around 18,000, 30,000, 45,000, and even 60,000. That is a wide range. But as Prof. Katherine Baicker said, those individuals are in bad health to begin with. Thus, you cannot say if they die due to lack of healthcare access or due to being in bad health to begin with. The same applies to this virus. You cannot say that those who die was because of the virus or simply because they were in bad health to begin with.
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@pidayrocks2235 the 80 million case is a stretch, but it is based on antibody testing out of NY, Santa Clara and USC where more people than expected had the antibody. That suggests many were infected without knowing it.
As for statistics, I just made a remark to someone else how, with your method, you are saying that those who die with the virus is purely because of the virus and thus there is a 17% mortality rate. However, there are comorbitities in that almost all who died have other health issues. Thus, the proper way is to weigh out to what degree the virus plays a role. For example, if someone had heart disease, diabetes, and the virus and the virus is listed as 3rd in cause of death and heart disease was number one, the proper way would bee to say, and just giving a number, that the virus contributed 20% to the person's death where 50% was from hear disease and 30% was from diabetes. The issue is that no one know to what degree the virus plays a role because one, we do not have a control, and two, the data set is low. As I pointed out in the example of number of people dying due to lack of healthcare access, that number ranges from essentially zero to 60,000 a year. But again, those people are sick to begin with.
In the book "Being Mortal" the author writes how people seek out modern medicine to live another 5 or 10 years but will really live only 5 or 10 months. That is because people in that case who die have many issues. So with this virus, basically all who died were old and/or sick to begin with. So their chances of dying in a few months was high to begin with.
As for upper and lower bounds, you are throwing out words you do not understand. That is basically a function of the math. No different than an average and a standard deviation. You can have an average with a low SD with a small data set. And you can have an average with a higher SD with a larger data set. What is more accurate? Many will argue the larger data set.
In the Scientific American article entitled
"How can a poll of only 1,004 Americans represent 260 million people with only a 3 percent margin of error?"
Prof. Andrew Gelman writes
"The margin of error is a mathematical abstraction, and there are a number of reasons why actual errors in surveys are larger."
Basically, it falls from the math which is why a lot of times end results differ greater than the polls. Same with what you are throwing out. A lot of numbers in stats are mathematical abstractions. A famous book is "How to Lie with Statistics". Basically, people can do legit analysis on any stat and come up with varying conclusions.
Bottom line, 100,000 is a small sample size for something this complex. And you claim I do not understand statistics?
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