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I can hardly fathom the mental gymnastics required to reach the conclusions you post above. 700 people sick, 7 dead. A pre-algebra seventh grader knows that is a 1% rate. However, you seem confident it's a good idea to only consider those "dead or healed" as the sample size. Therefore 2.1% of the dead or recovered died!!!!! Oh noes!!!! If you can't tell, I'm a little pissed. Please accept my apologies for my tone. I just dropped $330 on groceries I didn't need because "the shelves are gonna be bare if we don't go now" said the bosslady.

Anyway, you then proceed to apply some magic margin of error of 1.1 percent so as to reach the sum of 3.2. There are not margins of error in this experiment. You dead, or you ain't. I would also like to know why the other half of the parties are still listed as not recovered some 4 weeks after they contracted the virus. I posit they are all healed and the data simply hasn't been updated. Anyone on here doubt that if one more died, the 7 would be instantly updated? Me neither.

I consider my numbers still un-refuted.

Anyway, you then proceed to apply some magic margin of error of 1.1 percent so as to reach the sum of 3.2. There are not margins of error in this experiment. You dead, or you ain't. I would also like to know why the other half of the parties are still listed as not recovered some 4 weeks after they contracted the virus. I posit they are all healed and the data simply hasn't been updated. Anyone on here doubt that if one more died, the 7 would be instantly updated? Me neither.

I consider my numbers still un-refuted.

I can't help if you don't understand how statistics and analysis works. 700 sick, yes, but of those 700, 364 are still sick. Only 336 outcomes are known; 7 died, the rest recovered. If 700 football games are being played today, and 336 have finished, you can compute the outcome of those 336 games; you lost 7 games, you won 329. You can't compute the outcome on the 364, they are still being played. What don't you understand about that?

So, you're starting number isn't 700, it's 336. Of those 336, 7 died. 7/336 = 2.1% Of the 364 people that are still sick, your previous 7 out of 336 tells you that another 7 or 8 will die. So, if you apply that, you get your additional 1.1% for an error rate. Those 7 or 8 may die, they may not. Statistics say that based on the similar sample size, the rate should hold steady, so you work within that. Which means you may only get 5 or 6 additional deaths, or you could get 10 or 12. There is your error rate. So of the 364 games still being played, if you hold true to your previous rate, you will only lose 7 or 8, but could be only 5 or 6, or 10 to 12.

If you buy 700 lottery tickets, and you only scratch off 336, and 7 were winners, you don't have a 1% win rate (7 out of 700). You've only determined what half of the results are.