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"Influencers" are the same as most of the music, media, etc. They are not found, they are not amazing at what they do. They are "created". It is all corporate and has been for decades. This is well known with the "boy" and "girl" bands, with the "Asian" bands (sorry, don't care about the names). It is all fake. This was probably staged in some way or was intended to in the future and if not? A opportunity was noticed and taken advantage of. There is very little that is real anymore unless you see it for yourself. Some amazing people will never rise to the top because they are not part of the system. I sound like a crazy person but take it for what you will. I doubt I am wrong.
10pts
The value that the doctors SHOULD have been calculating is the PPV (Positive Predictive Value) (See: https://en.wikipedia.org/wiki/Positive_and_negative_predictive_values) This is a probability that given a positive test result that the test is a True Positive. This is calculated as: PPV = sensitivity x prevalence / (sensitivity x prevalence + (1-specificity) x(1-prevalence)) In the sample question, you don't really have enough information to calculate this exactly, as they only give the "False Positive Rate", this allows the calculation of specificity (1 - FPR) as 0.95. The sensitivity is not defined, lets just assume for the sake of the example that the sensitivity (1 - FNR) is also 0.95. So.... PPV = (0.95 x 0.001) / (0.95 x 0.001 + (1 - 0.95) x (1 - 0.0001)) PPV = 0.018664 i.e. Given the prevalence of the disease, the likelihood that a positive test result represents a TRUE positive is: 1.8% Even if you assume that the sensitivity of the test is 99.5%, the PPV still comes out around 16%. It's a bit of a silly question, as the data required to actually calculate the answer isn't supplied (you need the False Negative Rate as well as False Positive Rate to do the calculations properly. Tests rarely include this required information though). A test with a sensitivity as low as 95% should only ever be used as a screening test, never as a diagnostic test. Basically, you want something that is very sensitive, but with the possibility of a high False Positive Rate which is used as a screening test, combined with a follow up test that has a much higher specificity (very low False Positive Rate). Only when the confirmatory test comes back positive can you make any conclusions about the diagnosis (even then, you should be doing the PPV calculation to determine the likelihood that the positive result is a True positive. I was running a rough calculation of PPV during the main panic stages of COVID, when they were doing mass testing and reporting the results daily. During most of it, the PPV, as per my calculations (which did have some assumptions, as the specific accuracy details of the tests were not disclosed and the prevalence had to be somewhat inferred by the number of positive test results), was running around 10%. So, when they were saying that they tested 50k people, and found 75 "cases", probably 90% of those "cases" were false positives. I'm not a doctor, not even very good at math.
9pts
>She relocated to South Africa in August and was interning with the Ntsika ye Themba program, which works to educate young boys about gender-based violence and toxic masculinity. The program also works to empower boys who are raised in communities that suffer from gang violence. Meh - another misguided do-gooder.
8pts
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