On today's show we discuss the difference between models, also known as projections and data, also known as facts.

Initially, Neil Ferguson, the Director of the Abdul Latif-Jameel Institute for Disease and Emergency Analytics

predicted that 2.2 million Americans could be at risk of dying from the

coronavirus. However, soon he adjusted his models or his predictions

of how many deaths could be caused by the coronavirus. In fact, according to Dr. Deborah

Burks, the American physician and diplomat

who serves as the coronavirus response

coordinator for the Trump administration's

White House Coronovirus Task Force.

I'm sure many of you saw the recent report out of the UK about them adjusting completely

their needs.

This is really quite important.

If you remember that was the report that said there would be

500,000 deaths in the UK and 2.2 million deaths in the United States. They've

adjusted that number in the UK to 20,000, so half a million to 20,000.

Which means that the model's math was off by a factor of 25 times.

When somebody predicts that 500,000 people might die from the coronavirus in the UK

and then they adjust that prediction to be 20,000 deaths, that means that their

math was off by 25 times.

Which is fairly common with models because a model is a prediction,

whereas data is actually based upon known facts on what happened.

Data and data is based upon the facts of what happened,

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