COVID19 Hospital Beds Scam – update

Written by Andy Rowlands on October 12, 2020. Posted in Current News

Here is an update to my previous article, with additional quotes from our anonymous retired government scientist:

“I have alerted folk to the blurring of the distinction between admissions proper and inpatients showing up as positive cases if they happen to be tested during their stay. What I am going to do in this simple slide is nail the point home by calculating the ratio of inpatient COVID-19 cases to COVID-19 admissions proper for the period March – September.

A ratio of 1.0 means admissions proper equal ‘admissions’ brought about by testing inpatients. Ratios greater than 1.0 indicate more inpatient diagnoses than admitted cases, and a ratio less than 1.0 indicates less inpatient diagnoses than admitted cases. The grey dashed line represents this critical threshold.

We now see that, in the early stages of the outbreak in late March, the number of inpatients being classified as COVID-19 cases outnumbered actual admissions for the disease by almost eight-to-one. This is why I have stated COVID-19 is primarily an institutional disease. The ratio falls steadily to its lowest point during late June and early July when it hovers just above that magic threshold of 1.0. Thus at no point did admissions proper outnumber inpatients who were discovered to be carrying SARS-COV-2.

This result is quite something because the public have been convinced that COVID-19 has been characterised by cartloads of victims being rushed into hospital. Nothing could be further from the truth. It is important to realise that I’m not saying this as a mere mortal – it is the NHS England official hospital activity data saying this – all I am doing is delivering the hidden message therein!

I’m pretty sure some of you will have spotted the rise in the ratio from late July onward, so inpatient COVID-19 appears to be on the rise again to give us our so-called ‘second wave’. I say ‘appears’ because these people were in hospital for other reasons than COVID-19 and just so happened to test positive. This may or may not translate in symptomatic cases and may or may not translate into infectious cases since the RT-PCR test will detect remnants of an earlier infection for several weeks.

An interesting story

In the first graph we see that the Positive Swab Rate (PSR), being cases identified per 100 tests undertaken, is a spiky affair that does indeed show that detection rates are increasing across the UK. It is worth noting that what the government are calling a ‘case’ is merely a detection; a case only becomes a case if there is something medically amiss and that person comes under the care of a physician. A person watching TV at home and eating Pot Noodles for 14 days after testing positive isn’t a ‘case’ despite the virus allegedly being detected. A positive test does not guarantee they will be symptomatic or, indeed, carrying any ‘live’ virus whatsoever – the PCR test continues to detect the remains of an infection for several weeks. A positive test may also be triggered by other viruses from the same genetic family, and may also be a false positive. Hence my preference for use of the word ‘detection’ and not ‘case’, though I appreciate this will not sell government policies that well. This slide, therefore, tells us something is happening but we cannot be sure exactly what! It could be the beginning of a genuine second wave, it could be detection of a different viral outbreak, it could be the result of pushing test amplification cycles beyond sensible limits and it could be the result of sampling former hotspots.

The second slide helps us to qualify what the first slide may mean. Here we have a plot of the Bed Occupancy Rate (BOR), being NHS beds occupied per case detected. This is simply accumulated bed days divided by accumulated cases. If that surge in the Positive Swab Rate (PSR) is the beginning of a second wave then we should see the Bed Occupancy Rate (BOR) rise. Except we don’t. Some people argue there will be a time delay and this is absolutely true. The problem with such an argument is that this time delay will be of the order of 1 – 2 weeks from symptom to hospitalisation, yet the PSR started rising notably back on 30th August. I have marked this date with a red dashed line – ironically the BOR took a dive at this point! This bendy blue line provides definitive evidence that the rise in the detection rate is not translating in bed occupancy, which has been decreasing steadily since mid-July. This would suggest we are not looking a genuine second wave but an artefact of testing. (Emphasis added)

The third slide also helps is to qualify what the first slide may mean. Here we have a plot of the case fatality rate (CFR), being deaths per 100 cases detected. This is simply accumulated deaths divided by accumulated cases. Again we see nose-diving curves. The 30th August PSR upturn watershed moment is marked by another red dashed line, with the 28-day deadline for deaths from these first few unfortunate new cases looming large. I haven’t seen any headlines claiming a massive surge in deaths in the last three days so we’ll have to assume none of these ‘second wave’ detected folk died and that those red and blue curves will continue with their downward journey until the seasonal winter death toll kicks-in.

The conclusion I draw from all this is that the PCR test (4^th slide), along with WHO protocols for death certification and case reporting are somewhat cock-eyed. I have yet to see convincing clinical evidence of a second wave. (Emphasis added)

A new twist

Somebody has got their knickers in a right twist on the websites with data now going missing and datafiles being incorrectly named. Herewith details of errors spotted so far…

1. The ‘Testing and capacity, by pillar’ panel button for the data marked ‘pillars 1 2’ provides testing and capacity data for pillars 1 – 4.
2. The button marked ‘pillar 3’ offers the same datafile as for the button marked ‘pillars 1 2’ but with a bit missing.
3. The button marked ‘pillar 4’ offers the same datafile as for the radio button marked ‘pillars 1 2’ but with a bit missing.
4. They have removed the panels for pillar 1 testing by nation and pillar 2 testing by nation which has made it impossible to analyse test data for England. This is somewhat frustrating since England pillar 1 testing yields the longest running data series we have.
5. The data for patients admitted to hospital now starts promptly on 23rd March – they have gone and erased the very early data from 1st – 22nd March.
6. Historic data changes slightly each time I update files!

With daily new case rates now EXCEEDING levels seen back in April, it would take a particularly dense citizen to realise the government’s claims, along with their data, are simply not adding up.”

All of this; the lockdowns, social distancing, mandatory face masks, Rule of Six, 10pm closings, etc, is about inconveniencing people as much as possible, so that when the untested, experimental vaccine is available, and governments promise to drip feed people back some of their freedoms, as long as they agree to be vaccinated against a virus less lethal than seasonal flu, millions of people who would otherwise have been hesitant to get the vaccine, will be first in line to get it, just so they can get “back to normal”.

Then, if vaccinated people start developing unwelcome side effects or die, governments can blame it on the fact that the vaccine wasn’t tested thoroughly enough, due to the time constraints imposed by the fake, media generated pandemic. This will give the depopulation obsessed ruling elite the plausible deniability they need to blame it on incompetence, instead of, as some suggest, a planned genocide.

About the author: Andy Rowlands is a British Principia Scientific International researcher, writer and editor who co-edited the new climate science book, ‘The Sky Dragon Slayers: Victory Lap‘

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