tern Profile picture
Dec 4, 2023 32 tweets 8 min read Read on X
A quick thread on the history of reported positive covid tests in England, and the relationship to PCR testing. Image
What's going on in that graph...
The left hand axis tracks the blue line, reported positive covid tests.
The right hand axis tracks the orange line, pcr tests.
The bottom axis tracks time, from left to right. Image
The lines are a 'rolling 7 day average', so the spreadsheet adds up the totals from each of the previous seven days, and averages them out, to smooth out the high peaks and troughs of individual days.
Here's what pcr tests looks like without the rolling average: Image
Let's just zoom in briefly on the early days: Image
The relationship back in the early days between the number of tests being done, and the number of positives being returned started pretty constant... Image
But when restrictions kicked in, cases dropped, and testing increased dramatically... Image
That previous graph runs up to the start of term in Autumn 2020.
Testing in orange, cases in blue.
That's when the rest of the kids went back to school, and covid went nuts... Image
So during the 2020/2021 winter, the pattern of testing and positives tracks very closely.
More tests, more positives, fewer tests, fewer positives. Image
That relationship is chicken and egg.
If more people are sick, you test more, if the capacity is there.
But also if you improve capacity and test more people, you'll discover more positives.
But do you see how closely those patterns are linked? Image
But there's also a difference in pick up of positives during different points.
Look at these two peaks and the trough in between. Image
At this point it's worth reminding that the scales on the two lines are different.
That's why we have two axes for the two sets of data. Image
Without the different scales, the graph looks like this and is far harder to read: Image
But the relationship between the peaks of testing and positives are different at different points.
In January 21 you're getting about 12% of tests positive, and July 21 you're getting about 8% of tests positive. Image
And then at New Year 2022, you're getting 25% of tests coming back positive, and a huge number of them. Image
But during that whole period, while you get ebbs and flows of cases and tests, the general rising tide is more and more tests and more and more confirmed cases until... Image
A change in approach.
From here on out there was a constant attempt to reduce testing and reduce coverage.
Minimisation was literally the policy from here on. Image
And, yes, there's chicken and egg here.
As that horrific wave finished, cases did drop.
But testing dropped harder.
See how testing exceeded the previous waves, but now cases exceed testing?
(again, bearing in mind that those scales are different) Image
But now we hit the part of the pandemic that the minimisers love to point at. "look, it's over" they say, "because there aren't so many people testing positive".
But there's been a consistent restriction on testing from that point. Image
As Trump put it, you don't test and it goes away.
I've just heard of yet another person admitted to hospital while sick with Covid (admitted for a heart attack while ill) and the hospital haven't tested them.
It's a deliberate policy.
If you don't test, it goes away.
But it's still worth zooming in on this part to get a deeper understanding of what is going on. Image
But before we do, do you see how the nature of the relationship has changed?
Earlier the peaks tracked exactly. Chicken and Egg.
But later, do you see how the peaks of cases remain, and yet the testing line is less connected? Image
That's because they reduced testing on admission and in response to any sudden illness, and they narrowed symptoms based testing to a very narrow definition...
And so the definition of both sets of lines is lost. Image
But as we hit April 2023 and progress further in to the year... do you see how testing does not respond or correlate in any way to the increase in positives? Image
Testing is not completely disconnected from illness, as I have seen repeatedly throughout this year as people have been admitted to hospital for problems caused by Covid. Image
Heart attacks, bronchitis, pneumonia, dizziness, dehydration, fever, weakness, falls, breakages from falls - all **during Covid infections** but none of them tested for Covid. Image
Honestly, I don't even know who they're doing these PCR tests on anymore.
So when you get a minimiser pointing to this information and saying that cases are low, they are lying to you.
When they say that admissions for Covid are low, they're lying to you.
Testing volume is low, and testing has been disconnected from illness and admission, that's all.

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More from @1goodtern

Feb 7
People don't understand that there are several real models of cumulative harm that apply to covid infections.

People don't like complex ideas, so they avoid them.

This is going to be a long thread, with several simple ideas that combine to make a big complex one.
First off, we *know* beyond all doubt that covid infections cause short term harm.
The amount of short term harm varies from person to person and infection to infection, but it's there.
Read 46 tweets
Feb 5
Do midwives know that they're now twice as likely to be off sick with a pregnancy related disorder than before the Covid pandemic started? Image
Do nurses?
And health visitors? Image
Similar trend across all staff groups, with an apparent accelerating increase more recently. Image
Read 32 tweets
Jan 22
I think one of the most important conclusions people are missing from the data in the recent big studies is that covid infections cause radically diverse long term effects in different age groups.
So much so that it could appear as if they've been infected with different viruses.
But it's not the virus that's different, it's the immune system, the metabolism, and the way the body repairs the damage done by the infection.
Read 9 tweets
Jan 20
Okay folks, I'm calling it, and it's bad news:

The word mucinous is going to become much more common.

Yes, bookmark this tweet, it looks bland, but it's important.
oh, okay. I won't leave you hanging.

I've written a lot recently about how we're missing the big picture of how covid infection is doing cumulative damage to interfaces in the body - linings, membranes, barriers, walls, filters.
I don't want to rewrite that all here, but I don't want to bust the flow of this thread, so at the end of it, I'll post the thread I wrote on linings.
Read 51 tweets
Jan 19
I know, I know, you're going to laugh at me for saying that you're more likely to have problems with cramp after you've had a covid infection, but it's all very simple science.
Loads of people have been mentioning cramp recently, and like so many other conditions, yes, covid infection makes it more likely, and makes it worse.
It's just an extra factor on top of all the normal factors for cramp.
Muscles are fussy about blood flow.
They need a steady supply of oxygen to contract and, crucially, to relax.
Covid messes with the small blood vessels that supply it, so muscles end up slightly under-fuelled, and under-fuelled muscles cramp.
Read 13 tweets
Jan 18
Do you know which whacky loons say that covid infections increase the risk of heart disease?
The British Heart Foundation.
Do you know which antivaxers say that covid vaccines do not fully protect against infection, illness, or long term effects?
Pfizer.
Do you know which hysterical doom merchants say covid can cause long term lung damage even after a mild case?
British Lung Foundation.
Read 32 tweets

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