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9 out of 10 positive #Covid_19 Covid tests are NEGATIVE!!!!
Lives destroyed using deceitful maths. You still trust "experts"?
See my thread below for an explanation of this to explain. https://www.youtube.com/watch?v=R-DpsGTYKd4">https://www.youtube.com/watch...
Lives destroyed using deceitful maths. You still trust "experts"?
See my thread below for an explanation of this to explain. https://www.youtube.com/watch?v=R-DpsGTYKd4">https://www.youtube.com/watch...
ONS using positive tests to calculate percentage of people in England testing positive.
Result: 1 in 900 (or at 95% credible interval: 1 in 1,200 to 1 in 700), have Sars-CoV-2.
(95% credible interval: 1 in 1,200 to 1 in 700)
Result: 1 in 900 (or at 95% credible interval: 1 in 1,200 to 1 in 700), have Sars-CoV-2.
(95% credible interval: 1 in 1,200 to 1 in 700)
Approx 1 in 1,000 (0.1%) English ppl have #COVID19.
If test product says 1% are false positives, in a pop where 0.1% are "infected", then ~9 out of 10 positive results are actually negative.
See similar explain:
If test product says 1% are false positives, in a pop where 0.1% are "infected", then ~9 out of 10 positive results are actually negative.
See similar explain:
Here& #39;s the ONS data posted on 18th September 2020 showing 0.1% English people have #COVID19
https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/englandandwales18september2020">https://www.ons.gov.uk/peoplepop...
https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/englandandwales18september2020">https://www.ons.gov.uk/peoplepop...
When false postive rate is 10X more than actual rate of infection (1% v 0.1%), then only 1 in 10 positive results are true!
90% of the official #COVID19 "infections / cases" are WRONG, they are actually negative.
THE #PCRtest is not a tool for diagnosis.
90% of the official #COVID19 "infections / cases" are WRONG, they are actually negative.
THE #PCRtest is not a tool for diagnosis.
False negatives don& #39;t change this ratio. Even a 30% false negative rate only amounts to a 30% increase of the small no of positive results (1 in 1,000 to 1.3 in 1,000), compared to the huge no of uninfected people.
*correction on the video.
Here& #39;s the one I intended.
The false positive bit is at 10:10 but good to hear all of it. https://www.youtube.com/watch?v=tDt8Te20I9I">https://www.youtube.com/watch...
Here& #39;s the one I intended.
The false positive bit is at 10:10 but good to hear all of it. https://www.youtube.com/watch?v=tDt8Te20I9I">https://www.youtube.com/watch...
