Refereeing Models Which Ask Us To “Follow The Science!”

Refereeing Models Which Ask Us To “Follow The Science!”

I’m stealing this from Spectator, which has done science right. It shows the UK’s SAGE Expert models for covid. In each case, the gray and others colors are the model predictions, and the red what happened in Reality. Except in the “‘Winter scenarios’ for 2020 Covid deaths, assuming no lockdown”, where Reality is thick black.

What can we say? We can say exactly what I was shouting in fury since the beginning of the panic. Yes, day one. Some of us from the very beginning urged calm. Alas, the world seemed to want panic. Experts surely did, as we documented again and again.

We can say that there was no reason to blindly trust Experts or their models. That there is never a reason to blindly trust them. We can say Experts see what they want to see. We can say that Experts, above all people, want to be needed. We say that all models, even Expert models, only say what they are told to say.

We can say that panic destroys the ability to think. That lust for power and recognition makes bad science. That confirmation bias always happens, even to Experts who have insured it will not happen to then.

What else can we say? Stay with me as I interject an anecdote.

I used to play petanque in Central Park with a slew of French restaurant workers, way back in the old days. I can still count to thirteen in French. And swear.

The idea is to get your manly steel balls as close as possible to a small wooden one. Either your ball is closer to the “little one”, or the other team’s is.

Often it wasn’t clear whose ball was closest. All of us would hover over the balls, viewing them from every angle, trying to see who won. Now I promise I did try to be objective in this, especially when no money was involved. But I cannot count the number of times I was certain sure our team’s ball was closer, only to have a measurement disprove me (we used collapsible radio antennas).

This was just a game. Nothing really was at stake. Even so, tempers could flare. This is why the decision was left to a neutral measurement.

I never could figure out why I was seeing the wrong thing. That is, was I standing too close, or too much to the left, or whatever. But I did know I was seeing the wrong thing after the decision was taken out of my hands.

The lesson is obvious enough, for all love.

What’s the legal dictum? Nemo judex in causa sua. No man can be the judge of his own case. This principle is sound for all the obvious reasons.

Those who have an interest in the outcome of a game cannot be trusted to declare which side has fit the rules best. We employee referees for this. Even professional referees do not get it right every time, but their presence all admit is necessary.

Why isn’t it the same in science? Professional referees are desperately needed. No scientist should be the judge of his own theory.

In the covid panic, the Experts, like the appalling Neil Ferguson, were trusted because they were Experts. They did math. On computers! It helped immensely that the message their models were selling was that rulers needed to seize power. Nobody was encouraged to look too closely at guts of the science they were selling.

Some of us saw the flaws, but our warnings went unheeded. Because we were not Experts. Which are those with expertise given authority and control. We had no authority and no control, and thus had no standing to produce formal criticisms. Some who questioned Expert wisdom even ended up being investigated by “counter-terrorism agencies“!

We are asked to believe not just covid models, but “climate change” models, economic models, models, models galore. And we put in charge of evaluating those models the same groups of people who create them. This should not be.

“Briggs, peer review does exactly what you want.”

Come over here, behind the shed, so I can show you something.

Peer review forsooth. It is not independent. And it never, and cannot, judge how predictive models are. Open public professional refereeing of models, which are are asked to follow, must be mandatory. The process must be adversarial, like the jury system.

Science, they say, is “self correcting.” It is not. But it could approach something like it by requiring independent proof.

This will not happen, of course. Imagine having independent referees of science models which say slicing the breasts off of young girls is good for their “mental health.” Those referees would have to go into hiding.

If they lived.

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  1. Hagfish Bagpipe

    “No man can be the judge of his own case.”

    Bollocks. I never nake misteaks. I rule America. I am Paymaster, god of fake money. Men are fools, full of sin and typos. I harvest sin and gorge on typos. I am powerful because men are fallen. If men rise, I fall. So men must be corrupted. Corruption is power. My ball is closest to the little one.

  2. Dr K.A. Rodgers

    Its a jack-up.

  3. It’s one thing to decry models and the people who over-hype them, but we need to consider the broader picture: why did the political echelon agree with only those modellers? That’s the real question – without that what you’re doing here is barking (correctly, but so what?) at trees without noticing the forest.

    My answer is here: , what’s yours?

  4. Mike Putnam

    Throw in Climate Change, Green Energy, Net Zero and general “electrification” of everything consuming lots of energy. Mix well and watch as our First World civilization regresses into the Middle Ages. We’ve already identified who the serfs are (Us. If there’s any doubts, look in the mirror). The only real question left is who really gets to rule?

  5. PaulH

    Make the code for these models available for inspection by the open source community on GitHub.

  6. Government “experts” produce the results or recommendations required by the establishment. Currently it’s all in service of the Great Reset Agenda all clearly laid out in UN and WEF documents. It’s not what’s real that matters it’s what you can prove. You can’t prove anything with all the “experts” and “authorities” working against you. Unless or until genpop loses faith in the money-printing schemes and starts having to pay attention to reality you’re on a hiding to nothing. Meantime genpop are happy to go along with the idea that the government is stealing the other guy’s money and giving it to them.

  7. Models do not produce data. Their output depends entirely on the programming and the programming depends on who is paying for the model. Predictions ate rarely right anyway. Only one climate prediction in world history has ever been right. My own climate prediction from 1997: “The climate will get warmer, unless it gets colder”.

    In late 2004 I created a computer model to determine whether I could afford to retire in January 2005 at age 51. It said I would be a millionaire by 2023. So I retired in January 2005. Unfortunately, my current net worth is $179.50 plus my copper penny collection and a book of forever stamps. So much for confuser models.

  8. Rudolph Harrier

    I’ve said this before, but in MN the model used to justify lockdowns predicted a 1 year mortality of at least 22,589. That was for the scenario where the lockdowns lasted for longer than they did in real life, the tests were more accurate than any real world tests ever have been, and every who tested positive isolated perfectly. The scenario most closely resembling the actual actions by the government predicted a 1 year mortality of 29,030.

    At this point, about three and a half years after the model’s start, the total deaths claimed by the MN department of health is 15,200. This means that the actual death rate is less than a fifth of the MINIMUM projected death rate, in the scenario where everything went perfectly.

    I doubt that anyone involved in making these models has ever once reflected on this fact. The purpose was to justify the lockdowns, and they did that, so who cares whether the predictions were accurate later on?

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