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Why So Many Countries Followed China’s Lockdown Example

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Why So Many Countries Followed China’s Lockdown Example

Authored by Ron Brown via the Brownstone Institute,

A novel coronavirus that was 10 times deadlier than the flu had gripped the world in 2019. Without a compass to navigate the Covid-19 pandemic, all lessons learned from previous viral pandemics were thrown out the window. The World Health Organization was adamant, “This is not the flu.” Tony Fauci terrified the US House of Representatives with forecasts of disaster. Global populations were defenseless without a vaccine for the novel coronavirus that no one had ever seen before. The only viable defense at the time was to shut down the world.

China took the lead in lockdowns. Media exported from China showed people dropping dead in the streets. Caskets were piling up. Doors to buildings were sealed to lock in tenants. Throughout the panic, all reasonable alternative assessments of risks from the viral outbreak were ignored, censored, or rejected.

Nevertheless, I wondered whether a video of a person falling down in the street was really representative of the entire population. Were caskets piling up largely due to families fearing to claim them because of contamination with the virus? I noticed that the front doors to my local mall in Ontario, Canada had also been sealed, just like in China apartment buildings, but this was only to control access through a single entrance to the building, not to seal in customers.

My first clue that the emergency response to the outbreak of the coronavirus didn’t seem to make sense was when I heard Fauci tell television audiences that if our response seems to be overreacting, then we are probably doing the right thing. What? Since when is overreacting ever the right thing to do? Do generals win wars by overreacting? 

I looked at the numbers that Fauci had presented to the US House of Representatives concerning case and infection fatalities of the coronavirus. They were backwards! His 10-times deadlier prediction was simply a made-up number! This was in March 2020. By May 2020 it was obvious that people were NOT dying at the inflated rate Fauci had predicted.

I published a paper on Fauci’s coronavirus mortality overestimations: Public Health Lessons Learned From Biases in Coronavirus Mortality Overestimation. But when I mentioned all this to my friends, they responded that the lower than predicted deaths just proved the lockdowns were working. Fauci was off the hook. Back to China.

WHO/China Joint Mission on Covid-19

The answer to why countries followed China’s lockdowns is simple. They were told to do so by the World Health Organization (WHO). Why did the WHO tell them to do that? You might want to ask Dr. Bruce Aylward, the Director of the WHO/China Joint Mission on Covid-19 investigating the coronavirus outbreak.

Aylward noticed a precipitous drop in novel coronavirus pneumonia (NCP) in China during February 2020. This was before China adopted WHO’s name of coronavirus disease 2019 (Covid-19). Upon seeing China’s surveillance data, Aylward announced the spectacular findings to the world and told the world to do what China has done and lock down. But he appeared to make a fundamental epidemiological error by wrongly assuming that the association of China’s lockdowns with lower deaths proved the lockdowns were working (just like my friends had told me).

Soon after in March 2020, China published its latest case definitions for NCP (Covid-19). In a nutshell, the definitions showed that no one could be declared to have died of the disease unless they had viral pneumonia (a severe acute respiratory illness), and only if no other virus normally associated with viral pneumonia was present, except SARS-CoV-2.

Coinfections with the coronavirus were not acceptable criteria, and what should have been a broad surveillance case definition with high sensitivity to monitor the spread of the virus within the population narrowed down considerably into an overly specific diagnostic case definition. That pretty much sealed the deal to declare Covid-19 deaths in only single digits for many months during the pandemic throughout China. This super-low outcome impressed Dr. Bruce Aylward enough in February 2020 to implore the world to lock down. Did we ever!

In the meantime, other countries used case and death definitions that went to the opposite extreme of China’s narrow diagnostic definitions, disseminating overinflated surveillance numbers without adjusting the numbers to remove bias. Even Fauci eventually admitted that reported cases and deaths counted WITH the coronavirus are much higher than cases and deaths counted FROM the coronavirus. Ironically, the WHO had previously published material on the correct use and interpretation of surveillance and diagnostic definitions in infectious disease outbreaks. Aylward didn’t appear to get the memo.

There is more to the story. Was this even really a novel coronavirus, or just a novel genetic sequence of the coronavirus showing greater detail than previously available? China supposedly received updated genetic sequencing technology in late 2019. They had abandoned surveillance of SARS in 2003 for lack of technology.

Now they were back in business again by the end of 2019. The team of virologists that reported the genetic sequence of the virus in Wuhan noted that it would be necessary to investigate the epidemiological evidence to guide infection control responses. Who has time for that? Shut it down!

If the novel coronavirus isn’t really so novel, this would explain why the lockdowns didn’t work. We had already known that lockdowns don’t work in other viral pandemics. Even China eventually gave up its Zero Covid Policy after it was obvious that lockdowns weren’t working. My friends owe me some explanations to justify their lockdown views. Maybe Fauci isn’t off the hook after all.

For more information on biases in Covid-19 case and death definitions, see my peer-reviewed article with cited references: Biases in COVID-19 Case and Death Definitions: Potential Causes and Consequences.

Tyler Durden
Sat, 11/18/2023 – 08:10

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