"Most notably this study by Jaafar et al., which found that – when running PCR tests with 35 cycles or more – the accuracy dropped to 3%, meaning up to 97% of positive results could be false positives."
Even 3% is kind of iffy, the 45-50 they were using is fully within the 0% confidence territory. 100% of the results are questionable at this point.
With no gold standard, all positives are false positives.
As far as I’m aware there’s not been any kind of large scale study that verify that the tests work whatsoever. Some people claim the virus has been isolated and sequenced; others aren’t convinced. If there were a large scale double blind study where a common but unique virus were isolated from the samples of all who tested positive from a group of 500, and not found in the samples of the negative people, this would kill both birds by showing that the virus could be isolated and identified AND that the tests can identify it.
In other words it could easily be demonstrated whether the tests were worth two shits and if they had any medical predictive power or significance. Or if they were clinically useless and therefore fraudulent.
I mean it’s not like every single lockdown measure and preventative ordinance as well as every belief any normal person has about “Covid” depends on the usefulness of these testing kits or anything.
It would be so simple, and easy, to do this with unbiased parties and transparency and visibility every step of the way. Not some paper making claims buried in opaque chemistry jargon.
But this has not and will not be done, because it would be actual science — observable, repeatable, falsifiable, understandable, etc...
Any test such as this where the false positive is higher than 50% may as well be a false positive of 100%. If false positive is worse than random, and random is LITERALLY THE WORST. Then what the fuck is worse than random?
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