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SAGE Modeller Says They Don’t Model Good Outcomes Because “It Doesn’t Add Any Further Information”

by Will Jones
18 December 2021 8:39 PM

As SAGE minutes released with the Government’s approval make the case for new restrictions and even the cancellation of Christmas, Spectator Editor Fraser Nelson probed SAGE modeller Graham Medley on Twitter on why SAGE’s models were so often pessimistic and wrong.

Hi Graham. I guess the question is why LSHTM did not (like JP Morgan) include a scenario of lower virulence – given that this is a very-plausible option that changes outlook massively. See below… pic.twitter.com/MtoDlPVTdM

— Fraser Nelson (@FraserNelson) December 18, 2021

The exchange, reproduced in full below, is illuminating because Graham says they do not include more benign scenarios because “it doesn’t add any further information” and “decision-makers are generally on [sic] only interested in situations where decisions have to be made”.

“Decision-makers don’t have to decide if nothing happens,” he argues. This is wrong, of course: not imposing restrictions because the threat doesn’t warrant it is itself a decision, a very important one.

Fraser asks: “So you exclusively model bad outcomes that require restrictions and omit just-as-likely outcomes that would not require restrictions?”

Graham replies that “we generally model what we are asked to model”.

Fraser asks: “Okay, so you were asked to model bad Omicron outcomes and make no comment as to the probability?”

Graham’s reply: “We model the scenarios that are useful to decisions.”

Ladies and gentleman: The Science.

Stop Press: Fraser has written about his Twitter exchange on the Spectator blog.

Tags: LockdownModellingPrecautionary PrincipleSAGEThe Science

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