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This thread considers the headline COVID-19 figures (hospitalisations and deaths) in the context of community prevalence.
It also covers “died with COVID, not of COVID” and the plausibility of high “false positives” rates from PCR testing.
Needs to be considered as a whole! 1/8
It also covers “died with COVID, not of COVID” and the plausibility of high “false positives” rates from PCR testing.
Needs to be considered as a whole! 1/8
~1.4% of the population were testing positive for COVID-19 during mid-Nov and under 1% in the over 70s.
This was established from >300,000 ONS and REACT-1 swab tests.
This is corroborated by ZOE (COVID symptom study), reporting symptomatic cases in ~1% of the UK population. 2/8
This was established from >300,000 ONS and REACT-1 swab tests.
This is corroborated by ZOE (COVID symptom study), reporting symptomatic cases in ~1% of the UK population. 2/8
~79,000 of ~89,000 G&A beds in England were occupied during November, ~14,300 patients with COVID-19.
This equated to 18% of the bed patients having COVID-19; 13 times the community prevalence.
Only 1.4% of non-COVID patients should have tested positive by chance! 3/8
This equated to 18% of the bed patients having COVID-19; 13 times the community prevalence.
Only 1.4% of non-COVID patients should have tested positive by chance! 3/8
Annually ~3% of hospital patients die whilst in hospital or within 30 days of discharge.
Contrast the ~24% of COVID-19 patients who died in November; 8 times higher than the usual 3%.
24% can’t be created artificially, even by classifying every non-COVID death as COVID-19! 4/8
Contrast the ~24% of COVID-19 patients who died in November; 8 times higher than the usual 3%.
24% can’t be created artificially, even by classifying every non-COVID death as COVID-19! 4/8
One might have expected ~1.4% of non-COVID deaths to test positive by chance.
22% of the weekly deaths were reported as COVID-19; ~95% were within 28d of a positive test.
This was 15 times higher than chance, suggesting “died with COVID, not of COVID” was at most 1 in 15. 5/8
22% of the weekly deaths were reported as COVID-19; ~95% were within 28d of a positive test.
This was 15 times higher than chance, suggesting “died with COVID, not of COVID” was at most 1 in 15. 5/8
The ONS and REACT-1 studies reported 62 of 186,662 swabs being positive in July; 0.03%.
This suggests that PCR results do not have an inherently high false-positive rate.
Lab contamination / false positives (despite being possible) cannot explain the stark hospital figures. 6/8
This suggests that PCR results do not have an inherently high false-positive rate.
Lab contamination / false positives (despite being possible) cannot explain the stark hospital figures. 6/8
I have compared hospital stats and weekly deaths against community prevalence of COVID-19.
It is very significant that COVID-19 patients are 8 times more likely to die than other patients.
Positive PCR results are a strong predictor of mortality which is beyond coincidence. 7/8
It is very significant that COVID-19 patients are 8 times more likely to die than other patients.
Positive PCR results are a strong predictor of mortality which is beyond coincidence. 7/8
Daily figures from NHS and PHE may not be perfect but they do facilitate COVID-19 surveillance.
Claims about widespread false positives and “died with COVID” do not stack up.
Neither the hospital admission rates nor the high mortality rates can be explained by either claim. 8/8
Claims about widespread false positives and “died with COVID” do not stack up.
Neither the hospital admission rates nor the high mortality rates can be explained by either claim. 8/8
