Imperial College’s death estimates over the years have some things in common: flawed modeling, hair-raising predictions of disaster that missed the mark, and no lessons learned.
The defining event in the history of Western Covid lockdowns occurred on March 16, 2020, with the publication of the now infamous Imperial College London Covid report, which predicted that in the “absence of any control measures or spontaneous changes in individual behaviour,” there would be 510,000 Covid deaths in Great Britain and 2.2 million in the United States. This prediction sent shock waves around the world. The next day, the U.K. media announced that the country was going into lockdown.
To judge from the evidence, the answer is clear: Mandated lockdowns had little effect on the spread of the coronavirus. The charts below show the daily case curves for the United States as a whole and for thirteen U.S. states. As in almost every country, we consistently see a steep climb as the virus spreads, followed by a transition (marked by the gray circles) to a flatter curve. At some point, the curves always slope downward, though this wasn’t obvious for all states until the summer.
…The evidence suggests, then, that the sweeping, mandated lockdowns that followed voluntary responses exacted a great cost, with little effect on transmission. We can’t change the past, but we should avoid making the same mistake again.
Officials in Nashville, Tn. concealed from the media how few coronavirus cases had been traced to bars and restaurants in the city, according to emails sent between the mayor’s office and the city’s health department
Indeed, Ferguson’s Imperial College model has been proven wildly inaccurate. To cite just one example, it saw Sweden paying a huge price for no lockdown, with 40,000 COVID deaths by May 1, and 100,000 by June. Sweden now has 2,854 deaths and peaked two weeks ago. As Fraser Nelson, editor of Britain’s Spectator, notes: “Imperial College’s model is wrong by an order of magnitude.”