The Maddening Mystery of Imperial’s Invulnerable Reputation Despite its Dire Record of Failed Model Predictions

Phillip W. Magness in AIER has crunched the numbers and shown how poor Imperial College’s modelling has been at predicting the outcomes of the COVID-19 pandemic under different policy responses in every country in the world (well, 189 of them). Yet for some unexplained reason Neil Ferguson and the rest of the Imperial team remain respected authorities on epidemic modelling and management. Magness writes:

COVID-19 has produced no shortage of doomsaying prophets whose prognostications completely failed at future delivery, and yet in the eyes of the scientific community their credibility remains peculiarly intact.

No greater example exists than the epidemiology modelling team at Imperial College-London (ICL), led by the physicist Neil Ferguson. As I’ve documented at length, the ICL modelers played a direct and primary role in selling the concept of lockdowns to the world. The governments of the United States and United Kingdom explicitly credited Ferguson’s forecasts on March 16th, 2020 with the decision to embrace the once-unthinkable response of ordering their populations to shelter in place.

Ferguson openly boasted of his team’s role in these decisions in a December 2020 interview, and continues to implausibly claim credit for saving millions of lives despite the deficit of empirical evidence that his policies delivered on their promises. Quite the opposite – the worst outcomes in terms of Covid deaths per capita are almost entirely in countries that leaned heavily on lockdowns and related nonpharmaceutical interventions (NPIs) in their unsuccessful bid to turn the pandemic’s tide.

Assessed looking backward from the one-year mark, ICL’s modelling exercises performed disastrously. They not only failed to accurately forecast the course of the pandemic in the US and UK – they also failed to anticipate COVID-19’s course in almost every country in the world, irrespective of the policy responses taken.

Time and time again, the Ferguson team’s models dramatically overstated the death toll of the disease, posting the worst performance record of any major epidemiology model.

Magness has put together a table of all the countries with the predictions ICL made for them and their actual outcomes. The results should be fatal for the reputation of anyone whose job it is to make accurate predictions of the future course of events. But not ICL it seems, whose credibility appears to be invulnerable despite repeated and consistent failure. Magness wonders why.

Why is Ferguson, who has a long history of absurdly exaggerated modeling predictions, still viewed as a leading authority on pandemic forecasting? And why is the ICL team still advising governments around the world on how to deal with COVID-19 through its flawed modeling approach? In March 2020 ICL sold its credibility for future delivery. That future has arrived, and the results are not pretty.

Worth reading in full.

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