Wilkes has a 9.1% Postive Rate
tmann
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Posted 10:37 pm, 10/23/2020
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I'm over 50 also, almost 60. But I am not worried.
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1048andonehalf
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Posted 10:34 pm, 10/23/2020
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The problem is I am over 50 and there are a lot more with me.
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tmann
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Posted 10:32 pm, 10/23/2020
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People- according to the CDC if you are 50 years old or less you have a 99.8% chance of a full recovery. If....if you get it.
Move on! The show is over.
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artman10
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Posted 10:23 pm, 10/23/2020
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9.1% is a ratio. You can't add and subtract to find a ratio but that requires more than 5th grade math skills to comprehend. reading comprehension skills are also required in order to understand how the ratio is formed.
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shouldawouldacoulda
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Posted 4:51 pm, 10/22/2020
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People are going to lie about articles, though. Tiny people.
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tmann
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Posted 4:44 pm, 10/22/2020
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Its just more scare tactics.... People aren't going to lock down again.
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CowBoysFan
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Posted 4:33 pm, 10/22/2020
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I understand it just fine, 9.1% of anything leaves 90.9% left over. It's not my fault y'all don't seem to grasp it.
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shouldawouldacoulda
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Posted 4:25 pm, 10/22/2020
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Fanny, you don't understand the difference in tested and not tested.
No one expected you to grasp math.
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shouldawouldacoulda
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Posted 4:24 pm, 10/22/2020
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Tbagg, did you ever find that article you pretended existed?
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CowBoysFan
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Posted 4:19 pm, 10/22/2020
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True but it was fun watching "artman" explain how a 9.1% positive test rate doesn't equal a 90.9% negative test rate. I guess all my old math teachers lied, they always said that math was the only thing that was constant, 1+1 always equals 2 etc.
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tmann
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Posted 3:59 pm, 10/22/2020
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The ship has sailed... people are done with this. Time to move on.
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smonk
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Posted 3:03 pm, 10/22/2020
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More on Harvard assessment
The Harvard assessment puts counties and states in one of four risk levels: red, for those averaging more than 25 new confirmed COVID-19 cases per 100,000 people per day for the seven days; orange, averaging 10 to 24.9 new cases per day per 100,000 people; yellow, one to 9.9 new cases; and green, less than one new case.
According to a narrative with the assessment, red counties are at the "tipping point" and need stay at home orders and green counties are "on track for containment." There were no green counties in North Carolina on Tuesday.
Wilkes ranked 38th among 40 North Carolina counties in the red Tuesday in average numbers of new cases per day per 100,000 people. Avery County, among N.C. counties with no confirmed COVID-19 cases in early stages of the pandemic, ranked at the top with a daily average of 82.2 cases per 100,000 people.
Others in the top 40 included Alexander, eighth with 41.5; Caldwell, 18th, with 33.7; and Watauga, 37th with 25.9. Watauga's high ranking
Nancy Krieger, a professor of social epidemiology at Harvard who led research on areas of the nation with high COVID-19 case numbers, reported that "red" counties that lean Republican have had the largest increases and "blue" counties that lean Democratic have tended to be flat.
William Hanage, associate professor of epidemiology, speculated that this is because Republican-leaning communities have been less inclined to follow public health guidance about mask-wearing and social distancing.
https://www.journalpatriot....atriot.com
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artman10
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Posted 9:40 am, 10/22/2020
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The fact is that 90% of the cases are positive The figures used are ratios, not actual percentages. Please see the explanation I provided below and please try to keep an open mind.
From the Harvard Global Health Institute and Smomk:
The seven-day average positivity rate is calculated by dividing the average of positive tests by the average of total tests conducted over the last seven days. This shows how the situation has changed over time by de-emphasizing daily swings.
From me:
So, in the last seven days if we had 100 tests and 90% were positive, according to this formula, we would divide the number of positive tests by 100, or the number of tests taken. Do the math. The answer is 9%. We are finding a ratio here for the average number of tests over a period of seven days. 90 out of 100 were positive with a ratio of 9%. Confusing? Yes. But, you need to understand that this does NOT in any way mean that 90% of tests were negative. That is a false answer and that is what leads to deaths.
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CowBoysFan
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Posted 11:46 pm, 10/21/2020
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But doesn't a 9% positive rate in those tested equate to a 91% negative rate?
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artman10
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Posted 11:16 pm, 10/21/2020
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S monk, you are entirely correct. These are the figures that have been used from the beginning. I suppose that those of you who are questioning the results are the ones who refuse to wear masks and social distance. No one has any reason to fake or inflate these stats. I have seen how deadly this virus is and I know how debilitating it can be, lasting for months in healthy middle aged people, causing great disability and loss of income for families. When some of you who make fun of the figures and refuse to take precautions end up sick or have loved ones die, you'll wish you had paid closer attention to the science behind this thing.
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hillbilly666
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Posted 5:08 pm, 10/21/2020
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Yeah I'm aware of the 6% "comorbidity" thing, but I think that's such a silly take. If those folks hadn't contracted covid would they still be alive? People manage and live with things like asthma, hypertension and diabetes. As for your other point I've done a simple search and can't seem to find them.
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tmann
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Posted 5:02 pm, 10/21/2020
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Hill - CDC website now says that only 6% of deaths are purely due to cover. The other 94% had one or more serious issues.
Very simple search will yield numerous articles pointing to hospitals being incentivized to list covid as the cause of death as well as housing positive patients in rooms with uninfected people... at the time.
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hillbilly666
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Posted 4:52 pm, 10/21/2020
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I hear people talk about the death numbers being inflated all the time but I haven't seen an article or any evidence of this. If you have evidence could you please share it tmann?
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