It’s long past time to draw a line between actual data and fantasy “models” — and set public policy accordingly

Over on Facebook, I linked to an essay by the Swedish writer Malcom Kyeyune titled Why the Experts are Losing, which elicited this comment from a (dear) friend:

So, when dealing with complicated things, who should one listen to if not someone who actually knows the topic? And what should one look at besides data?

The comment got me thinking about data.

Specifically, it got me thinking about a mistake that I think people make when they look at “data” and “research consensus” as the basis of their policy preferences.

Because of course we need to base policy on data.

But many people are making a huge mistake when they cite “data” — a mistake that is tied closely to our reliance on “experts.”

There is a WORLD of difference between “data” that is based on actual reality — meaning data collected on something that has happened — and “data” that is generated by computer modeling — meaning “data” that predicts something that is supposedly likely to happen in the future.

Models are not reality.

It’s my observation that many people overlook that distinction…

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