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LINK Epidemiologist lowers original catastrophic death prediction

Lesson: Whenever someone predicts catastrophic destruction (or anything like it), BE VERY CYNICAL!. Apocalyptic warnings are nothing new - they are always wrong. (Well, at least until they aren't.) The source and the method/model should be your first clues.

Epidemiologist lowers original catastrophic death prediction

By Andrea Widburg March 27, 2020

Neil Ferguson was head of the Imperial College London epidemiology study that predicted that, if Britain continued with its experiment of locking up vulnerable people and letting others develop herd immunity, more than 500,000 people would die in Britain. In the same study, Ferguson and his team said that, if America applied Britain's initial limited-quarantine model, there would be more than 2.2 million American deaths. His research caused both countries to start imposing extreme social distancing and quarantine measures.

Ferguson and his Imperial College London team have put out a new study, this one severely downgrading the earlier prediction. This time, Ferguson and his team believe that British deaths will not exceed 20,000 and could be lower. The report also indicates that the majority of victims – the aged and sick –are (sadly) likely to die within a year, regardless of coronavirus. The study’s authors also think that the virus’s bell curve will play itself out over 2-3 weeks rather than 18 months.

People instantly began to lambaste Ferguson for changing his predictions so dramatically. Most assumed that he had gotten his prediction wrong the first time and was correcting. However, in a series of Tweets, Ferguson explained that the downgraded mortality rate, from 500,000 deaths to around 20,000, is based upon the United Kingdom’s newly imposed social distancing and other health initiatives.

"I think it would be helpful if I cleared up some confusion that has emerged in recent days. Some have interpreted my evidence to a UK parliamentary committee as indicating we have substantially revised our assessments of the potential mortality impact of COVID-19."

"This is not the case. Indeed, if anything, our latest estimates suggest that the virus is slightly more transmissible than we previously thought. Our lethality estimates remain unchanged."

"My evidence to Parliament referred to the deaths we assess might occur in the UK in the presence of the very intensive social distancing and other public health interventions now in place."

"Without those controls, our assessment remains that the UK would see the scale of deaths reported in our study (namely, up to approximately 500 thousand)."

Ferguson’s revised prediction is consistent with the Scott Adams theory, which I mentioned a couple of weeks ago:

Some time ago, during a podcast, Scott Adams stated a theory about panics that I hope I'm not about to bungle. His theory, as I understood it, is that modern panics bring cures.

In the old days, people panicked, and that was all that they could do. They did not understand germ theory; they did not know about viruses; and they could not create vaccines, treat symptoms, or come up with cures. Panic was both the beginning and the end when it came to dealing with terrible things.

In the modern era, though, Adams noted that when we see a crisis coming, we are able to address it. The Y2K panic is a clear example of our modern reactive abilities. People raised the alarm, people got worried, and people figured out how to fix things. We also got a handle on H1N1, although it killed a lot of people first (not that the media cared, because it didn’t involve Trump).

No matter how much the Democrats complain, Trump did the most important thing he could when he blocked flights from China in January and started pushing the bureaucratic monster that is the federal government to work on the virus: he bought us time — time in which to sequence genomes, invent vaccines, work on treatments, and change American behavior.

Steve McCann adds:

To date, this study has yet to be peer reviewed and it’s lead author, Neil Ferguson, has refused to share the algorithms or methodology used in their models. But he was quite willing to fan the flames of panic when he said the potential impacts of the Coronavirus were comparable to the devasting 1918 influenza outbreak (which killed between 50 and 75 million worldwide). Further, it would “kind of overwhelm health system capacity in any developed country, including the United States” unless measures they recommend to reduce the spread of the virus was taken.

As a side note, it should be highlighted that this same institution, the Imperial College (a bastion of leftism), has, over the years, also predicted innumerable catastrophic global warming scenarios than have proven to be false and misleading.

It should also be noted that based on current data, which includes how many may have contracted the virus and are unaware or have no symptoms, that the actual mortality rate is likely to be around or less than 0.5% not the 9% Mr. Ferguson’s group projected.

Meanwhile, this nation is plunging itself into a potential depression, and societal unrest based on ridiculously faulty computer models and projections. It is time for the nation’s media and medical elites to admit their errors and concentrate on getting the United States back to work and be extremely judicious in accepting future prognostications which are not thoroughly peer reviewed.

Additionally, this same reliance on inadvertent or deliberately flawed computer models permeates the climate change or green movement. If the Imperial College scientists can be so devastatingly wrong about something in real time, how can anyone believe what so-called climate experts say will happen in 25, 50 or 100 years.

@Colpy @BobCoffey1 @Serg97 @DaveClark5 @maxmaccc @DonProvolone @angelo

Clarken 7 Mar 27
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Here is a supporting article.

www.realclearpolitics.com/video/2020/03/26/dr_birx_coronavirus_data_doesnt_match_the_doomsday_media_predictions_or_analysis.html

Models have to be constructed by people. The computer is not flawed, but there is an old computer law: "Garbage in equals garbage out." That's what global warming models are. As an engineer, once tasked to make mathematical models of bridges, being wrong was obvious. The bridge would fail. Global warming models can claim success, because its adherents can look out the window and see a snowstorm in June and still believe the model.

More to the point, Ferguson's model had to use an assumption for Ro, and had to build that number on assumptions about the number of uncounted SARS-COV2 infections, which could not be determined. So his predictions were based on his best guess. Not very scientific.

@timon_phocas
Thanks. I have read one with the same info. But this will be helpful to keep filed for the doomsday predictors. You're a good man!

2

Agreed. I believe the point that predictions of doom are almost always wrong. Specifically about the Y2K, as an engineer who began my career during the computer age, I was able to discern that it was no threat. By the year 2000, computers were so diverse, and the Internet not yet fully ubiquitous, there was no way to address all of the programs that needed patches. Nothing happened anyway.

Another great example.

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