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Flattening the curve or flattening the global poor? How Covid lockdowns obliterate human rights and crush the most vulnerable

Marketed as life-saving public health measures, lockdowns triggered death and economic devastation on a global scale while doing little to slow the spread of Covid-19. Now, they’re back with a vengeance.
 
by Stavroula Pabst and Max Blumenthal
 
Part 2 - Lockdowns were inspired by bogus modelling by unqualified academics
 
On March 16, 2020, as the global consensus formed around implementing restrictions in some form, a professor from London’s Imperial College delivered a presentation to the British government that would prove pivotal. That academic, Neil Ferguson, introduced a model asserting that if the UK did not impose a harsh lockdown, 500,000 citizens would die of Covid-19 that year; and if it took only moderate steps to restrict public life, as Prime Minister Boris Johnson planned, 260,000 would die.

In either case, Ferguson insisted, the national healthcare system would be overwhelmed and the economy irreparably damaged. Within a week, Johnson’s government accepted Ferguson’s fatalistic model and locked down hard. 

Around the same time, the Trump White House received a paper from Ferguson that envisioned a catastrophic death toll. His model predicted fatalities at a 25% higher rate than the CDC’s already stark projection: 2.2 million dead in the first year unless the US instituted lockdowns.

“What had the biggest impact in the model is social distancing, small groups, not going in public in large groups,” Dr. Deborah Birx, a leader of Trump’s coronavirus task force, referring to the Imperial College projection. The New York Times reported on March 16, the day the Trump administration received Ferguson’s paper: “White House Takes New Line After Dire Report On Death Toll.”

While Ferguson’s modelling succeeded in inspiring harsh lockdowns, it ultimately brought him public embarrassment. First, the professor was caught breaking the quarantine he personally inspired to enjoy a tryst with his lover – a married woman who complained that the lockdown “strained” her relationship with the professor. Then, as time went on, it became clear that Ferguson’s models had exaggerated the Covid-19 fatality rate by a factor of at least four.

“Yes, my prediction was off,” he admitted to the Times of London in August 2021. But by then, the damage was done.

This was not the first time Ferguson’s numbers had proven to be wildly off the mark. Back in 2001, Ferguson projected that as many as 50,000 could die from Mad Cow Disease. After a panicked government slaughter of some 6.5 million cattle, the mass death failed to come to fruition. (Only about 2,800 have died from Mad Cow in three decades). 

In 2005, Ferguson was at it again, predicting up to 200 million global deaths from the bird flu. In the end, only a few hundred people died. Then in 2009, Ferguson warned that 65,000 could die from the swine flu in the UK alone. But when the dust cleared, he and his team were off by a factor of over 1000.

So why did governments across the Atlantic trust a serial exaggerator who appeared to have no formal training in epidemiology or computer modelling, and whose codes were buggier than a locust infestation?

Before briefings from Ferguson, leaders from Whitehall to Washington were already in a panic over the onset of the novel coronavirus. A haze of reporting in early 2020 made the coronavirus appear more deadly than it turned out to be, with some reports suggesting the fatality rate could rise to as high as seven percent. 

Although it is now known that COVID-19 does not kill the vast majority of people it infects, with Infection Fatality Rates (IFR) of .15 percent overall and .05 percent for persons under 70, the confusion and uncertainty led many public health officials to act quickly. In reality, the coronavirus is a less lethal disease that spreads easily, making it harder to contain with human interventions.

Further, according to Toby Green of King’s College in London, British public health officials were easily seduced by the tech-centric presentation of academics like Ferguson.

“Let’s remember that in the UK, where Ferguson’s model first had its influence, Dominic Cummings, Boris Johnson’s advisor on Covid-19, had already written about the importance of a data-driven approach to policy,” Green explained. “Matt Hancock, the health minister, was also highly integrated into the tech sector through his family, which runs a tech business. So a computer-driven model [like Ferguson’s] was appealing.”

Somehow, the technocrats placed in charge of Covid-19 policy across the Atlantic demonstrated little concern for how the lockdowns they suddenly imposed would impact the economic and social wellbeing of the citizens they were supposed to protect.

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