So far we have had Rishi Sunak’s official listening in on SAGE meetings and knowing that there was dissent in the ranks but the minutes did not reflect that. As civil society was shut down on the basis of thin air, they could not possibly break ranks.
Next, the Transport Secretary, Grant Shapps, burning the midnight oil and finding out that perhaps the Covid Omicron threat was a tad overblown. He bravely stood up for keeping the world open. But as we reported yesterday, the events that influenced these decisions are essential to interpret the decisions and actions at the critical points in the pandemic narrative.
One of our Substack subscribers, Myra, is concerned our liberties are being curtailed based on “flimsy thinking”.
The back-pedalling race has begun. Now that we have a new Prime Minister in the U.K., let’s see who else joins the contest – who will be inspired to go next. The list is a long one.
Could it be the modellers, who knew all along that the notorious kernel stargazing virus had bugged their spreadsheets but to save their IT manager’s job they stuck to their doomsday scenarios?
Maybe variant-ologists are next. They have been engaged in the ‘my variant is more transmissible than yours’ gambit, and the sweepstakes have been too high to back down. The wildest predictions would win, you see.
Then there are the suppressors, the Zero Covid gang who wanted to save the world not just by elimination of SARS-CoV-2 but also the removal of the other pesky microbes out there. They should receive a prize just by attempting to defeat biology for the benefit of humanity.
Then there are the advisers who may have said things they knew were wrong at the time but as part of the Government machinery they had no control over their affirmations.
Then there are the interventionists who spun their words on the imposition of fear and the need for precautionary principles – all for our good, of course.
Finally, there are those who have left the seat of power with sweeping statements on the epidemiology of respiratory viruses which were dictated by their desire to know best in the face of considerable uncertainty.
This might be entertaining and could go on for some time, were it not for the human, economic and democratic disaster it has left present and future generations to deal with.
In the previous post we reported just a few of the key events that took place in the 10 days before Christmas 2021. To us, the statements and decisions are erratic, contradictory and nonsensical.
We think that we should build a freely available timeline, hopefully by country, of the important decision timepoints and the statements made to support those decisions.
We would be interested in readers’ thoughts on the feasibility and importance of such an initiative.
Dr. Carl Heneghan is the Oxford Professor of Evidence Based Medicine and Dr. Tom Jefferson is an epidemiologist based in Rome who works with Professor Heneghan on the Cochrane Collaboration. This article was first published on their Substack page, which you can subscribe to here.
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The real question here is: Why did Asian countries like Taiwan, South Korea, and Japan, who have much higher population densities than Western countries, have such low death tolls? Could it be that the reason is that they didn’t artificially inflate their numbers as part of a scaredemic?
All three countries have good reason not to trust China nor believe anything it says. They were also particularly speedy at closing their borders to China. And may already have had a lot of immunity in their populations due to previous exposure to SARS.
Japan’s population also in the main eats a better diet than most Western countries and although it has an elderly population they have high vitamin D levels and therefore their immune systems are well equipped to deal with a virus like SARS-COV-2.
Fair point.
More likely according to Yeadon is their prior exposure to SARS in 2003 giving their population natural immunity. This makes any comparison with Far East countries problematic imo
Fair point.
Comparisons between countries are fraught with difficulty – there are just too many variables involved (including data garbage).
Indeed. Another one of the many sins of govts everywhere is to have been complicit in generating more garbage data making it harder for anything useful to be discovered about covid – their claims to care about public health are hard to take seriously.
I read somewhere that Japan’s % of elders who are obese is minute (4%) compared to UK (29%) and New York (40%). Or something like that. Would be interesting to a graph worldwide plotting obesity rates vs covid deaths.
Yes I was about to say that. There simply are no fat people in Japan. I’ve travelled to Tokyo many times and the population is uniformly lean. It’s not possible to imagine without seeing it!
Sadly no matter what evidence is presented to them people like Ferguson, along with Bojo, Whitty, etc. are never going to admit they got it catastrophically wrong.
Or that they fudged the numbers in order to change the fabric of society?
Ferguson is famous for getting things catastrophically wrong, there is nobody better at turning a drama into a crisis. Yet even with his history of causing untold suffering with his ‘models’, there is absolutely no self-doubt or self-examination, where there should be massive guilt and shame there is arrogance and mis-placed confidence. And all under-scored and approved by Johnston.
It he worked in industry he’d have been sacked for gross incompetence.
However he might then have gone on to become a Consultant (seen it happen)
“…parameterising.”
Thus, not only does Ferguson do incalculable damage to the reputation of ‘modellers’, but to the English language, itself.
True.
Covid is itself a disease of language: safe, surge, social (as in ‘social distancing’), case… and dozens of other words that have been denatured and corrupted by Covid-cult liars.
What is clear is that Kneel is not a scientist but a politician. Lying dissembling, deceiving, calculating to protect himself and not a truth seeker.
Interesting to note, in the spreadsheet, that the lowest modelled numbers of infections/deaths for the UK are when enhanced social distancing of the elderly is implemented. Higher modelled numbers are given for social distancing of the whole population.
The Great Barrington Declaration suggested protecting the vulnerable. The Imperial modelling appears to be supporting that strategy.
Except in this paper
https://spiral.imperial.ac.uk:8443/bitstream/10044/1/77735/10/2020-03-26-COVID19-Report-12.pdf
… with this linked data
https://t.co/yBD0z5rhc4?amp=1
… on 2020-03-26, they made this set of predictions for Sweden.
https://twitter.com/PienaarJm/status/1400699456434102274/photo/1
…
Which forecast for “Enhanced social distancing of elderly” with an R of 2.4, which is what was sampled in Sweden, that there would be 16.1k deaths.
They’ve had 14.5k.
Why continually write articles, basically lying about people’s research?