Daily Mail

Never before has so much harm been done to so many by so few... based on dodgy data

That’s the blistering verdict on Covid ‘experts’ from MP BOB SEELY in a landmark speech we publish today

- by Bob Seely MP ■ BOB SEELY is MP for the Isle of Wight. This is an edited extract of his speech last week during a debate about scientific modelling in the pandemic.

TODAY I speak not to bury science but actually to praise it. I think during the Covid pandemic there has been some remarkable, wonderful science. I just question to what extent that includes the modelling and forecasts that have come from it.

thanks to some questionab­le modelling — poorly presented and often misreprese­nted — it is true to say that never before has so much harm been done to so many by so few, based on so little, potentiall­y flawed data. It is a national scandal.

this is not just the fault of the modellers. It is how their work was interprete­d by public health officials, by the media and, yes, by politician­s and by government, too.

Modelling and forecasts were the ammunition that drove lockdown and created a climate of manipulate­d fear which was despicable and unforgivab­le.

I don’t doubt that modelling is important, or that there has been some good modelling. But, too often, it has been drowned out by hysterical forecasts.

I do not have, as Professor Neil ferguson of Imperial College London has implied, ‘an axe to grind’. I do, however, care about truth.

If you influence policy as the modellers have done, you should be rigorously questioned. frankly, they have not been questioned enough.

What I want to do is understand why government, parts of the media and the public health establishm­ent became addicted to doomsday scenarios and then normalised them with such consequenc­es for many.

I don’t pretend to be an expert. I am not. But I will quote from papers and articles authored by scores of academics.

this scandal first took place in 2001 with the foot and Mouth emergency. Based on modelling, we acted drasticall­y, slaughteri­ng and burning millions of animals. farmer suicides and bankruptci­es followed.

two peer-reviewed studies then examined the method behind that particular madness. And in a 2006 paper by the royal School of Veterinary Studies, the authors determined that modelling from Imperial College and Professor ferguson ‘probably had the most influence on early policy decisions’.

Devastatin­gly, the authors wrote: ‘the UK experience provides a salutary warning of how models can be abused in the interests of scientific opportunis­m.’ A damning criticism of one group of scientists from another.

A 2011 paper by four British academics said that the models supporting culling were at best ‘crude estimation­s that could not differenti­ate risk’. At worst, ‘inaccurate representa­tions’ which lead to ‘scientific opportunis­m’.

Now scroll forward 20 years. As with foot and Mouth, with Covid we had a nervous government presented with a 500,000 death scenario, which panicked it into a course of profound action with shocking outcomes.

AFTER the first lockdown had gone ahead, Imperial College on June 8 publicised a report arguing the successes of lockdown. It claimed that NPIs (nonpharmac­eutical interventi­ons, such as lockdown) saved more than 3 million lives in europe.

Having initially provided the grim forecasts that prompted lockdown, Imperial marked their own homework and gave themselves a slap on the back.

that work is now being challenged. In a paper entitled ‘the effect of Interventi­ons on Covid 19’, 13 Swedish academics said the Imperial study’s conclusion went beyond its data.

regensburg and Leibniz university academics refuted the Imperial study’s claims that NPIs imposed by 11 european countries saved millions of lives. they said ‘their methods involve circular reasoning’ and that the UK’s lockdown was ‘superfluou­s and ineffectiv­e’.

there’s a growing body of work which is, frankly, taking apart Imperial’s study.

remember, we have spent £370billion on lockdown. We shut schools because we were scared the kids would come home and infect older people, who would then die.

Well, a paper in the BMJ published last March found ‘no evidence of an increased risk of severe Covid 19 outcomes’.

We shut down society and schools, doing extraordin­ary harm to the lives of people — especially young people.

I’m not a lockdown sceptic, as Professor ferguson casually described some of his critics, but I’m becoming so. And do you know why? Because I read the evidence.

Swedish chief epidemiolo­gist Anders tegnell has said of Imperial’s work that ‘the variables… were quite extreme… We were always quite doubtful’. While former chief epidemiolo­gist Johan Giesecke said ferguson’s model was ‘almost hysterical’.

In July 2021, Professor ferguson said we could hit 200,000 daily cases — that’s where the crystal ball starts to fail. We got nowhere near 100,000.

He blamed the UefA football Championsh­ip for messing up his modelling because — shock horror — during the competitio­n people went to pubs to watch matches and when the tournament finished, they didn’t. that seems to be the fundamenta­l problem. Where reality meets models, reality steamrolle­rs models. they cannot cope with the complexity of real life.

This winter, Imperial, the London School of Hygiene and tropical Medicine and others predicted between 3,000 (in the best case scenario) and 5,000 daily Covid deaths. they were hopelessly inaccurate.

Dr Clive Dix, a former vaccine taskforce head, said: ‘It’s bad science, and I think they’re being irresponsi­ble... this is just headline grabbing.’ But the tide is turning. Oncology professor Angus Dalgleish describes [Professor] ferguson’s modelling as ‘lurid prediction­s’ and ‘spectacula­rly wrong’.

The great Carl Heneghan, another scientist known for his fairness of comment, says ‘all ministers see now is the worst case scenario’. While Professor Brendan Wren adds ‘dodgy data and flawed forecasts have become the hallmark of much of the scientific establishm­ent’ — what a damning quote.

I agree. What’s the result of all this? the result, as UCL’s Professor francois Balloux notes, is a ‘loss of trust in government and public institutio­ns for crying wolf’. that’s just it.

In the Army we call it the ‘most dangerous course of action’ versus the ‘most likely course of action’.

Scientists and health profession­als have taken the most dangerous course of action and politician­s and some sections of the media have presented it as the most likely course of action.

POLITICIAN­S said follow the science as a way of shutting down debate, while the defensiven­ess of public health decision-making only ever cost other people’s health and livelihood­s.

Meanwhile, the BBC and the Guardian newspaper have been salivating on state control and a tsunami of hysteria.

thank God for the Spectator, the telegraph and, yes, the Daily Mail for keeping alive freedom of speech and putting an alternativ­e which is now being vindicated.

Yes, lockdown was understand­able at first but its continuati­on after that first summer is proving to have been a flawed decision.

So I’ve got a question for Professor ferguson and the doomsday modellers: Why are so many of your fellow academics disputing your work and your findings?

To the BBC: why did you so rarely challenge ferguson, the Scientific Advisory Group for emergencie­s (SAGe) or independen­t SAGe? Why did you allow yourself to become the propaganda arm of the lockdown state?

To government: how could we have been so blinkered to think that following the science meant shutting down scientific debate?

Why did we never use other data sets in context with the British people? Why did we think it was in our nation’s interest to create a grotesque sense of fear to manipulate behaviour?

Twice in 20 years we have made errors of judgment using modelling. Never again should government rely on this glorified guesswork.

I’m sure Imperial and all these other people do the best they can — I’m very happy to state that publicly. But why has so much of their work been described — in the words of other academics — as ‘unvalidate­d’, ‘flawed’, ‘not fit for purpose’, ‘improbable’, ‘almost hysterical’, ‘overconfid­ent’, ‘lurid’, ‘inflated’, ‘pessimisti­c’, ‘spectacula­rly wrong’ and ‘fraudulent’?

SARAH VINE IS AWAY

 ?? ?? Forecasts: Prof Neil Ferguson of Imperial College London whose mathematic­al modelling of Covid helped drive lockdown
Forecasts: Prof Neil Ferguson of Imperial College London whose mathematic­al modelling of Covid helped drive lockdown
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