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(Emphasis mine)
This post is admittedly long (Sorry! Didn’t want to break it up into three posts with a similar theme), but not as long as the lockdowns will be.
If you want the shortened version (of the post, not the lockdowns), just skim the highlighted parts. You’ll get intent of the lockdowns, if not the post.
Model Used To Evaluate Lockdowns Was Flawed
Lund University via Phys.org | 12/29/20In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model had fundamental shortcomings and cannot be used to draw the published conclusions, claim Swedish researchers from Lund University, and other institutions, in the journal Nature.
The results from Imperial [College] indicated that it was almost exclusively the complete societal lockdown that suppressed the wave of infections in Europe during spring.
The study estimated the effects of different measures such as social distancing, self-isolating, closing schools, banning public events and the lockdown itself.
“As the measures were introduced at roughly the same time over a few weeks in March, the mortality data used simply does not contain enough information to differentiate their individual effects. We have demontrated this by conducting a mathematical analysis. Using this as a basis, we then ran simulations using Imperial College’s original code to illustrate how the model’s sensitivity leads to unreliable results,” explains Kristian Soltesz, associate professor in automatic control at Lund University and first author of the article.
The group’s interest in the Imperial College model was roused by the fact that it explained almost all of the reduction in transmission during the spring via lockdowns in ten of the eleven countries modeled. The exception was Sweden, which never introduced a lockdown.
“In Sweden the model offered an entirely different measure as an explanation to the reduction — a measure that appeared almost ineffective in the other countries. It seemed almost too good to be true that an effective lockdown was introduced in every country except one, while another measure appeared to be unusually effective in this country,” notes Soltesz.Soltesz is careful to point out that it is entirely plausible that individual measures had an effect, but that the model could not be used to determine how effective they were.
“The various interventions do not appear to work in isolation from one another, but are often dependent upon each other. A change in behavior as a result of one intervention influences the effect of other interventions. How much and in what way is harder to know, and requires different skills and collaboration,” says Anna Jöud, associate professor in epidemiology at Lund University and co-author of the study.
Analyses of models from Imperial College and others highlight the importance of epidemiological models being reviewed, according to the authors.
“There is a major focus in the debate on sources of data and their reliability, but an almost total lack of systematic review of the sensitivity of different models in terms of parameters and data. This is just as important, especially when governments across the globe are using dynamic models as a basis for decisions,” Soltesz and Jöud point out.
The first step is to carry out a correct analysis of the model’s sensitivities. If they pose too great a problem then more reliable data is needed, often combined with a less complex model structure.
“With a lot at stake, it is wise to be humble when faced with fundamental limitations. Dynamic models are usable as long as they take into account the uncertainty of the assumptions on which they are based and the data they are led by. If this is not the case, the results are on a par with assumptions or guesses,” concludes Soltesz.
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Another Flawed Data Model From Imperial College To Blame For Latest UK Lockdown
USSANews | December 26, 2020….Volz’s colleague, Neil Ferguson, also played a key role in promoting the need for more restrictive lockdowns due to this new genetic variant.
Ferguson was caught in May breaking the rules of previous lockdowns he had heavily promoted and arguably orchestrated in order to visit his lover.
He has also previously attracted heavy criticism for a history of producing flawed models, particularly his wildly inaccurate predictions regarding the anticipated COVID-19 death toll that were largely used to justify earlier lockdowns in the UK.
Despite his relatively recent fall from grace, Ferguson remains part of NERVTAG and was also part of last Friday’s meeting to discuss the new strain. That meeting was said to “have played a pivotal role in changing the Prime Minister’s mind – and led to Saturday’s announcement that Christmas was effectively canceled for millions.”
However, much like Volz’s tone within his presentation, the NERVTAG meeting did not authoritatively agree on the 70% transmissibility rate. Instead, a majority of the body’s members opposed any sort of “immediate action over the new mutation” and had wanted “to wait for more evidence.”
The minutes of the meeting, as cited by the Daily Mail, noted that NERVTAG had only “moderate confidence” that the new strain was more transmissible and had concluded that there was “currently insufficient data to answer crucial questions on the new strain,” including its alleged increased transmissibility.
Compounding the issue was also the fact that, as noted by NERVTAG’s meeting minutes, the new strain “can be challenging to sequence,” meaning that it is not easily identified relative to other strains.
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Lockdowns Were Inspired by the CCP, admits Professor Pantsdown
Breitbart | December 27, 2020 | James DelingpoleProfessor Neil Ferguson, the discredited Imperial College computer modeller behind Britain’s draconian lockdown policies, has come clean about his inspiration: none of it would have been possible without the shining example of the Chinese Communist Party.
In an extraordinary interview with the Times (of London), Ferguson admits that if it hadn’t been for China’s example, no Western country would ever have dreamed of putting its populace under house arrest.
Back in 2019, about the time someone was getting infected by a bat, no European country’s pandemic plans seriously entertained the prospect of putting a country on pause.
Then, that’s what China did. “I think people’s sense of what is possible in terms of control changed quite dramatically between January and March,” Professor Ferguson says.
Ferguson appears to find the idea of emulating a totalitarian state exciting rather than embarrassing or shaming because he boasts about it again later in the interview:
In January, members of Sage, the government’s scientific advisory group, had watched as China enacted this innovative intervention in pandemic control that was also a medieval intervention.
“They claimed to have flattened the curve. I was sceptical at first. I thought it was a massive cover-up by the Chinese. But as the data accrued it became clear it was an effective policy.”
Then, as infections seeded across the world, springing up like angry boils on the map, Sage debated whether, nevertheless, it would be effective here.
“It’s a communist one party state, we said. We couldn’t get away with it in Europe, we thought.” In February one of those boils raged just below the Alps. “And then Italy did it. And we realised we could.”
As requested, here are the year-end Fizzbin standings (subject to change before midnight).
As it stands, a whopping 64 players have earned the right to say “Ni”!

I think you will recognize your appropriate sub-category.
It helps to get such prescient thoughts on the record as soon as possible.
Per Windbag:
Under the Harris administration, Santa will be a homeless transgender pedophile with a heroin addiction. Instead of a sleigh, he’ll ride the subway and distribute gifts only to minority children stolen from white families and other millionaires.
Now who can argue with that? Certainly not her eight or so supporters.