Quote:
Originally Posted by John41
government as they have no good intentions for the general public. But a democratic country’s government usually has the general population’s interest at heart. I give them the benefit of the doubt. Those individuals who react, just because someone tells what to do, remind me of toddlers. They don’t evaluate, they just say, “Don’t tell me what to do!” There is a reason why with ALL the available resources, being in many ways FIRST among the nations of the world, the US is probably having the most difficulty controlling this virus on the globe.
Let’s back up to your original post, reprinted above in part , where you postulate that democratic governments generally care for their citizens. I agree with you on that point.
Then you state that the US is a) having probably the most difficult time controlling Covid 19 in the world because b) some citizens rebel at following rules like wearing masks. I agree with you on part (b) but on what basis do you state (a) is true? You imply total Covid cases then change your mind and state density is the criteria.
We both have scientific backgrounds so would you please give a hypothetical example with numbers in the formula you would use to calculate your definition of density? I’m going to take a guess and say you would like to take a density function for each very small delta area of the US and some mortality function for the same delta area and with some combined function integrate or sum over all delta areas in the US or whatever country being studied.
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Yes, but people are not identical. The effect of density also depends on socioeconomic class etc. All high rises building populations are not alike. Therefore a calculus integral would not reflect the probability of Covid cases per area correctly, in my opinion.
What I was thinking was that there are large geographic areas in the US which have a low density for population. I know you may say that “per capita” takes that into account. My thinking is there are many factors which determine an equivalent comparison of different countries or even counties.
My guess is you may have an applied science type of background from your suggestion. In the social sciences we tend to use statistical analysis, regressive equations because more dissimilar factors can be included.