It has been requested that I do a simpler version of this thread, explaining why the modellers advising the Irish government are so amazingly wrong in their forecasts and in their understanding of the risk from Covid-19.
1. The death count is wrong. We know this because it has been admitted to be wrong by the government (including by Leo Varadkar) and the number itself makes no sense.
3. The modellers think everyone is susceptible to Covid-19. Wrong.
Research from Sweden suggests at least 28% of people had pre-existing immunity against Covid-19 last year, long before the epidemic. This natural immunity can make antibodies redundant.
What the modellers do is they take a vastly overestimated death count, divide it by a vastly underestimated infection count, and get an infection fatality rate that is wrong probably by at least one order of magnitude.
They then naively apply this to the entire population.
This false view of the fatality risk is combined with false case data, false hospitalisation data, false admissions data, and false ICU data, whereby the label "Covid" is applied to anything it can be applied to, regardless of cause and effect:
So we end up with estimates derived from meaningless data and forecasts built on baseless and false assumptions.
From a personal point of view, I take consolation from the fact that these messages will be here for posterity, and I played my part in trying to wake people up to what is happening. If you'd like to help me, please share this with your friends. Thanks.
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Why is Ireland locking down again? Look no further than our Covid-19 spreadsheet modellers.
They are unshakeable in the belief that Covid-19 remains a deadly threat to the population. But as I'm about to reveal, they are standing on shaky ground.
Meet Professor Philip Nolan, Chair of the Epidemiological Modelling Group on Ireland's NPHET. This man is the key provider of Covid-19 statistical analysis and forecasts to the Irish government.
Think of him as the Irish equivalent of Neil Ferguson.
In the thread above, he claims that about 1/3 of all infections were detected by PCR during the epidemic peak in April.
If that's true, and testing continued to find a high % of cases, then total infections so far might only be c. 100k-150k (vs. the official case count of 50k).
We don't have a Covid crisis - we have a public information crisis.
That's my conclusion, after reviewing the latest mortality data from Ireland.
Here are my updated and extended charts.👇👇👇
Please retweet to help get the word out.
Firstly, remember that "Covid-19 deaths" includes people who died of other things.
Leo Varadkar:
"We counted all deaths, in all settings, suspected cases even when no lab test was done, and included people with underlying terminal illnesses who died with Covid but not of it."
Secondly, take a look at the unadjusted all-cause mortality data (with thanks to @Thorgwen).
You'll note that April 2020 (based on deaths registered so far) is comparable to flu months in January 2017 and January 2018.
Year-to-date registrations so far, up to June, look normal.
According to TheJournal, it's a "far-right conspiracy theory" that "Covid-19 death rates are being inflated as a way of justifying continued restrictions on the public."
TheJournal says "Covid-19 was a factor in all of those 1,806 deaths".
Time for a factcheck by Leo Varadkar.
Varadkar:
"In Ireland we counted all deaths, in all settings, suspected cases even when no lab test was done, and included people with underlying terminal illnesses who died with Covid but not of it."
The death count includes people who died with Covid, not of it. Got that?
Varadkar:
"This was right approach but skewed the numbers. Priority is to save lives not look good in league tables."
Is that clear enough? They skewed the numbers to "save lives", by frightening people into accepting restrictions.
Today, an RTE article makes a speculative argument that C19 is definitely worse than a bad flu, despite acknowledging fewer death notices from March to May 2020 than "either of the severe flu seasons in December–February in 2017/18 and 2016/17".
If you asked your barber whether you needed a haircut, would you expect an unbiased answer?
And what would you expect, if you asked the vaccine industry whether the world needed more vaccines – would they say no?
It’s time to spill the beans, with a thread. Strap yourself in.
A few disclaimers.
Firstly, believing things which are in your economic self-interest doesn’t make you a bad person. It’s completely normal.
Like millions of others, I would benefit financially from the scrapping of Covid-19 rules. I have no hesitation in acknowledging that.
But what about the experts who hype the risks from Covid-19? What if they might benefit from the fear they generate?
We should still trust that they act in good faith, and we should recognise their expertise (we recognise our barber’s expertise in cutting hair, after all).