re: Univeristy of Alabama school tested 30,000 students for covid: 0.83% positive rate

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Yet, I see alabama as a state goes off the 10% number when reporting,

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Because they are reporting the percentage of positive of people tested. Everyone knows that mostly symptomatic people are being tested. This isn't a new revelation.

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Because they are reporting the percentage of positive of people tested. Everyone knows that mostly symptomatic people are being tested. This isn't a new revelation.

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Then why in the holy blue hell are they using that number to determine phasing guidelines THAT IS MY ENTIRE POINT

When this thing is almost completely over, the percent positive of those getting tested will likely be even higher


It makes absolutely no sense to care about percent positive of just those tested

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You think that means they are saying 10% of the population has covid at this time?

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No, which is my entire point

What is worse


A. 1% of population actually infected, but 20% positivity rate for those tested


B. 20% of population actually infected, but only 1% positivty for those tested



The state is telling us Option A is worse

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I haven't once seen Alabama cite that as the sole source of it's phasing guidelines. Maybe I missed it.

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You have

phasing guidelines relies on 14 days of percent positive testing being being below a benchmark (5-10% depending on phase)

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A. 1% of population actually infected, but 20% positivity rate for those tested


B. 20% of population actually infected, but only 1% positivty for those tested

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That is why a certain amount of testing is required

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So, people who get tested because they feel symptoms have a higher positive percentage than a random sampling?

Shocked. Shocked I tell you.

Idiot.

Just a guess, but I'll bet women who show signs of being pregnant, test positive for being pregnant more than an average woman.

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Real genius you are

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Clearly not enough, if a random sample of 30,000 is roughly 11 times lower than what your testing is showing.......

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Testing isn't trying to determine if the entire population is infected.

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That's a great citation to Alabama's approach

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Here you go for Alabama specifically

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If a county meets the measure of at least 0.8% of its citizens being tested over the most recent 14-day period, the county remains in the same level as the initial assessment above. If fewer than 0.8% of the population was tested, then the county will move up one level (i.e., low to moderate). The percentage of positive tests is also taken into consideration, with the goal being a significant decrease in the percentage positive and/or less than 10% of people tested resulting in a positive test result. If a county fails this measure but passes the measure to test 0.8% of the population, it will still move up a level as this indicates a potentially higher percentage of persons with COVID-19. If a county fails both measures, it will still only move up one level. If a county passes both measures, it will remain at the same level.

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LINK

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Our main indicator for limiting the risk of COVID-19 spread in the community is the number of days a county has a downward trend of new cases each day. Whether the case counts are increasing or decreasing influences a county’s level (e.g., low risk). In determining the trajectory of cases, there is a five-day grace period, meaning that each county can have up to five days with an increase in new cases in a 14-day window before they are considered to not be in a downward trajectory. The purpose of the five-day grace period is to account for minor fluctuations that do not truly change the downward trend in cases.

If the number of cases is staying the same or is increasing, the category will be Very High Risk (Red).

If a county has decreasing case counts for 1 to 6 days, they will begin in the High Risk (orange) category.

If a county is in a downward trajectory of 7-13 days, they will begin in the Moderate (yellow) category.

If a county is in a downward trajectory of 14 or more days (or has a rate of 10 or less over the previous 2 weeks), they will begin in the Low Risk (green) category.

Several factors can influence a county’s trajectory of COVID-19 cases, so other factors are examined to additionally inform which level a county should be in.

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You're such a disengenious clown.

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You missed this champ

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No, you just completely misrepresent what it says in context.