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.

Thread. 👇👇👇

#level5 #NPHET
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).
If you combine that estimate (100k-150k infections) with the view that the death toll of 1,850 is not a complete fantasy*, then you can get to the belief that Covid killed up to 1% of those it infected.

*The official death toll is a complete fantasy:

On the other hand, if the true number of infections is vastly higher, the fatality rate is correspondingly lower.

There's also the problem that the virus might not even be capable of attacking all that many of us.

Dr. Mike Yeadon explains both problems:

lockdownsceptics.org/what-sage-got-…
To support his claim that only 2/3 of infections were missed by PCR in mid-April, Prof Nolan points to this HSE study.

It tested 1,733 people for antibodies. 33 were positive.

After minor adjustments, it deduced 1.7% of the population had been infected.

hse.ie/eng/services/n…
The study copied the asssumptions of the UK's SAGE:

A. antibodies are present after all infections, even the asymptomatic.

B. everyone without antibodies is susceptible (so we all need to worry until a vaccine is found).

It did at least acknowledge some uncertainty around A.
There is some evidence to suggest that both assumptions are dramatically wrong.

A. Everyone infected has antibodies?

In June, a study published in Nature Medicine found that only 80% of PCR-positive individuals had Covid-19 antibodies after 3-4 weeks.

nature.com/articles/s4159…
After 8 weeks, only 73% of the symptomatics had antibodies (27 out of 37). Fewer than half of the asymptomatics had them (18 out of 37).

The HSE study assumed there would be no problem detecting antibodies up to 14 weeks after the epidemic's peak.

nature.com/articles/s4159…
B. Everyone is susceptible?

If nobody is already immune, the fatality rate (e.g. 1%) is still a threat to the 4.8 million people in Ireland who (allegedly) haven't been infected yet.

If 60% of the population must be infected to reach herd immunity, that's another 30,000 deaths.
In August, a study in the journal Cell found 28% of Swedish blood samples taken in 2019 already had T-cell immunity against Covid-19.

It also looked at people with no antibodies despite living with a Covid-19 patient. 1/3 of these had T-cell immunity.

cell.com/cell/fulltext/…
This immunity comes from prior exposure to seasonal coronaviruses. It provides a partial or complete defense against Covid.

If you want to know why your family member got sick and you didn't, your T-cells could be the answer.

The spreadsheet modellers haven't allowed for this.
CONCLUSION:

Ireland is being locked down again because the modellers think that only a tiny percentage of the population has been infected, and that everyone else is susceptible.

This belief is based on deeply questionable assumptions.

The lockdown is therefore unjustified.

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More from @GrahamNeary

20 Oct
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.

Here goes. 👇
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.

All explained here:

2. The modellers think very few people have been infected so far. Wrong.

They say less than 2% of the population had antibodies 10-14 weeks after the epidemic peak.

But research suggests many people already lose their antibodies 8 weeks after infection.

nature.com/articles/s4159…
Read 8 tweets
18 Oct
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.
Read 9 tweets
2 Oct
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.

Leo is now a right-wing conspiracy theorist.
Read 7 tweets
28 Sep
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".

rte.ie/brainstorm/202…
Their argument is based on deaths from March to April 2020 being seasonally higher than average.

But then how to take account of Jan and Feb 2020 being lower than average?

Being simple-minded, I simply added up all deaths from January to May.

Result: the 2020 total is normal.
Here's the thread showing how I calculated this:

Read 4 tweets
17 Sep
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. Image
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).
Read 18 tweets
14 Sep
BREAKING NEWS - I have received the very latest Irish death registration data, as of the end of August.

Here's a thread, with lots of charts 👇👇👇.

If you think this information is important, please give it a retweet!
I'm going to focus on the months from January to May.

There were allegedly 1,646 "Covid-19-related" deaths in this period (mostly in April).

Here's the raw data, added up for each year. Does 2020 stand out to you?
Now let's adjust March, April and May 2020 for future registrations, based on how many late registrations usually show up in the data.

I forecast another c. 450 deaths will be registered for these three months.

This still leaves total deaths below the same period in 2018.
Read 9 tweets

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