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Computer models used to justify lockdowns called a “buggy mess”


The now disgraced Neil Ferguson, from the UK’s Imperial College, is the man many believe responsible for the lockdowns that we are seeing around the world. It was his computer models that predicted 2.2 million deaths in the US from the coronavirus and 500,000 deaths in the UK.

When confronted with such numbers what government in its right mind would not lockdown its country, but other experts have now had a chance to look at the software behind this model, and they reveal some disturbing findings.

The Telegraph reports:

The Covid-19 modelling that sent Britain into lockdown, shutting the economy and leaving millions unemployed, has been slammed by a series of experts.

Professor Neil Ferguson’s computer coding was derided as “totally unreliable” by leading figures, who warned it was “something you wouldn’t stake your life on”.

The model, credited with forcing the Government to make a U-turn and introduce a nationwide lockdown, is a “buggy mess that looks more like a bowl of angel hair pasta than a finely tuned piece of programming”, says David Richards, co-founder of British data technology company WANdisco.

“In our commercial reality, we would fire anyone for developing code like this and any business that relied on it to produce software for sale would likely go bust.”

By the way, this is the same Neil Ferguson who predicted upwards of 200 million deaths from the bird flu in 2005. There were only several hundred deaths.

READ this article for a list of Ferguson’s other failed predictions: Coding that led to lockdown was ‘totally unreliable’ and a ‘buggy mess’, say experts

And, oh yes, before I forget computer models are also being used to predict the end of the world if we don’t stop climate change. READ: The great failure of the climate models

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