Another Flawed Data Model from Imperial College to Blame for Latest UK Lockdown

by Whitney Webb
The Last American Vagabond


The source behind the claim that a new COVID-19 strain in the UK is 70% more transmissible, Dr. Erik Volz of Imperial College, admits that the model that produced that statistic is flawed and that it is “too early to tell” if the strain is more easily spread.

On Saturday, UK Prime Minister Boris Johnson announced extreme new measures just before the holidays due to the emergence of a new COVID-19 variant.

Per Johnson, as well as the UK’s Chief Medical Officer Chris Whitty who also spoke at Saturday’s press conference, the new strain – nicknamed VUI-202012/01 – is around 70% more transmissible, but no evidence shows it to be any more severe or deadly than previous strains.

According to the BBC, Johnson’s assertion that the new variant “may be up to 70% more transmissible,” was based on the information discussed the day prior by the UK government’s New and Emerging Respiratory Virus Threats Advisory Group, or NERVTAG.

Yet, as the BBC notes, this figureapparently comes from a single source, a 10 minute presentation delivered by Dr. Erik Volz of Imperial College given last Friday, the same day as the NERVTAG meeting.

Volz – a close colleague of the discredited Neil Ferguson – delivered the presentation to COVID-19 Genomics UK (COG-UK), a research consortium largely funded by the UK government and the Wellcome Trust and, in particular, the Wellcome Sanger Institute.

The Wellcome Sanger Institute recently came under fire for “misusing” the DNA of Africans to develop a “gene chip without proper legal agreements” and an upcoming Unlimited Hangout report will detail the ties of the Wellcome Trust to the UK eugenics movement, the Bill and Melinda Gates Foundation and the Oxford-AstraZeneca COVID-19 vaccine.

Notably, the Wellcome-funded scientist behind that vaccine candidate, Adrian Hill, was recently quoted by the Washington Post as saying that:

We’re in the bizarre position of wanting COVID to stay, at least for a little while…But cases are declining.”

The UK government, Google and other powerful stakeholders are positioned to profit from sales of that particular vaccine candidate.

According to Volz’s most recent publication, COG-UK “has resulted in the generation of >40,000 SARS-CoV-2 sequences from the country in <6 months (approximately half of all genomes sequenced globally as of 7 July)” and “has facilitated the usage of robust and systematic sampling and shared bioinformatic and laboratory approaches and the collection of consistent core metadata, resulting in a large, high-resolution dataset capable of examining changes in virus biology in the United Kingdom.”

However, in his presentation last Friday, Volz repeatedly downplays the quality of COG-UK’s sampling and, by extension, the validity of the model used to justify the 70% figure, raising obvious questions as to why Boris Johnson would cite the figure so prominently and use it to justify draconian lockdown measures during the holiday season as well as the arbitrary creation of a new, more extreme lockdown tier.

In comparing the new strain, which Volz refers to in the presentation as N501Y, to another strain named A222V, Volz states that:

“We’re still basically in the very early stages, we basically have one month of growth for comparison, whereas we have now observed A222V for 3 months.”

After noting the limited nature of the dataset for N501Y, Volz stated that “the growth [in cases for the new strain] does appear to be larger.” He then quickly adds the caveat that “trends you see early on don’t always pan out, you need to let more data accumulate.”

Volz then goes on to compare the transmissibility of A222V and N501Y. Regarding the model used to determine A222V’s transmissibility, Volz states that “model fit is not particularly good” given that “there are lots of outliers early on and there are lots of outliers quite late.”

He concludes that “we wouldn’t expect that a logistical growth model is necessarily appropriate in this case.” However, he uses this “not necessarily appropriate” model of a poor fit to compare to the new strain.

Yet, even with the model for the new strain’s transmissibility, Volz states that it’s “too early to tell” what N501Y’s transmissibility even is, stating that the 70% figure estimated by the model is based on “the current state of our knowledge,” which again is based on 1 month of data and its trends, trends that Volz also noted “don’t always pan out.”

Volz then adds that the sparse datasets used to develop the transmissibility model for the new strain had some issues, stating that “the sample frequency is very noisy and overdispersed.”

Later on in the presentation, Volz states that the data, provided by COG-UK, was both “non-random and very noisy sampling,” bringing into question not only the limited amount of data in terms of time, but also the quality of that data.

After noting the glaring flaws in both models he is comparing, and that it is “too early to tell” much of anything about N501Y, Volz states that N501Y is “growing faster than A222V ever grew.”

Read the full article at The Last American Vagabond.

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