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2020-09-24 Israel-Palestine-Jordan
Coronavirus in Israel: 6,808 new cases, 12.9% of tests returned positive result
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Posted by g(r)omgoru 2020-09-24 07:16|| || Front Page|| [9 views ]  Top

#1 Energy Minister Yuval Steinitz said in an interview with Ynet that the closure is a lifeline for the economy. According to him, when the infection rate is so high "the economy will crash."
Posted by g(r)omgoru 2020-09-24 09:06||   2020-09-24 09:06|| Front Page Top

#2 Suspicion: A travel agent provided fake coronavirus tests for overseas flights
Posted by g(r)omgoru 2020-09-24 09:09||   2020-09-24 09:09|| Front Page Top

#3 And, finally, the news y'all been waiting for.
Posted by g(r)omgoru 2020-09-24 09:18||   2020-09-24 09:18|| Front Page Top

#4 And, finally, the news y'all been waiting for.
Posted by g(r)omgoru 2020-09-24 09:18||   2020-09-24 09:18|| Front Page Top

#5 ^Gomennasai
Posted by g(r)omgoru 2020-09-24 09:19||   2020-09-24 09:19|| Front Page Top

#6 G here in Minnesota our Pravda media is refusing to report on the number of negative tests. What the hell.

https://www.recallwalz.org/ sign the petition.
Posted by Woodrow 2020-09-24 09:25||   2020-09-24 09:25|| Front Page Top

#7 #6 Isn't it total*(1 - positive(fraction))?

Any case, (I'm compelled repeat this every few days) the interpretation of tests is really simple.
Let 0 < x < 1 be proportion of carriers in the population - the proportion of non carriers is 1 - x. Let 0 < p < 1 be the proportion of carriers who test positive - the proportion of carriers who test negative is then 1 - p (0.8 < p < 0.9 for current covid tests). Let 0 < r < 1 be the proportion of non-carriers who test positive (r approx. 0.05 is common)*. In these terms the proportion of positive tests (T+) is given by

T+ = p*x + r*(1 - x) = (p - r)*x + r. Note: T+ > r.

Hence x = (T+ - r)/(p - r).

*Most of the bull on test you hear from the "covid sceptics" is because these, highly erudite individuals, confuse T+ with "p", or confuse "1 - r" (true negative) and "1 - p" (false negative)**
**"p" and "r" are not really independent. But, since the functional relationship changes for different (thing being tested for) tests, it's easier to treat them as independent.
Posted by g(r)omgoru 2020-09-24 10:01||   2020-09-24 10:01|| Front Page Top

#8 Let 0 < x < 1 be proportion of obsessive cranks in the population - the proportion of non cranks is 1 - x. Let 0 < p < 1 be the proportion of commenters who test positive for Branch Covidian DeathP0rn Onanism (BCDPO). The proportion of carriers who test negative is then 1 - p (0.8 < p < 0.9 for current BCDPO tests). Let 0 < r < 1 be the proportion of non-carriers who test positive (rant approx. 0.05 is common)*. In these terms the proportion of positive tests (T+) is given by

T+ = p*x + rant*(1 - x) = (p - rant)*x + rant. Note: T+ > rant.

Hence x = (T+ - rant)/(p - rant).

In other words, as time increases, the probability of an obsessive ranter's being infected with Branch Covidian DeathP0rn Onanism approaches 100 percent.

And incidence of said rants approaches infinity.
Posted by Thriling White4554 2020-09-24 13:42||   2020-09-24 13:42|| Front Page Top

#9 ^Highly erudite individuals I've mentioned before.
They also consider themselves to be witty and are half right.
Posted by g(r)omgoru 2020-09-24 14:13||   2020-09-24 14:13|| Front Page Top

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