@DesmondSwayne Sir Desmond is right. SAGE makes mathematical predictions based on flawed models.
I chose to stick my neck out almost 4mo ago here:
https://t.co/b0rT5Lq9HI
I experienced much anxiety doing this, aware that, if I was badly wrong here, I would be destroyed as a contributor.

That said, I thought the immunology so clear that I made three, specific & testable predictions which should apply if I was right.
Please examine them, on the right, under the pie chart:

In particular, I predicted that the epidemic would not reignite in London. Obviously, we have many “cases” but I urge people to disregard these & instead to look at excess deaths, on the principle that a severe (occasionally lethal) respiratory virus would show itself this way.

Here is a chart showing the trend of deaths in London alone over recent years. A prominent peak of deaths is evident as the virus swept through in spring. Also visible the August heatwave. But there are no excess deaths now.
I submit this is a striking example of herd immunity.

I’m still waiting for SAGE or indeed anyone to provide an alternative explanation for the sharp nature of the spring excess deaths peak which doesn’t involve herd immunity or otherwise removing from the pool those vulnerable to lethal outcomes (same result). Given this sharp...

@scottorandojin What if the false diagnosis rate was 90%?
Don’t misunderstand me. I’m a thorough believer in the existence of this virus.

To exemplify: the NHS is under severe winter pressure. Many staff are unavailable, largely due to forced isolation from testing. Also, I’m told the adaptations to the conditions make normal work almost impossible. Trying to keep apart patients in different categories must be...

...incredibly stressful. I doubt I could ever have coped. Add to this the real stream of sick people & it’s a complete nightmare. My sympathies won’t be accepted but I offer them anyway. As to “the deaths”, do you mean the reported count of “covid19 deaths”? Everyone is doing...

...their very best. But as to that count: it’s nothing to do with clinical judgement. A covid19 death is a death from any cause within 28d of a positive test. So once a person is labelled by a positive test, if they then die, they’re a covid19 death. Back to my substantive...

...question: how reliable is that labelling? It’s not a clinical diagnosis. We’re not used to this idea. Never before in medical history has someone had a disease (let alone cause of death) been defined by the result of a single year alone. Yet that’s where we are. I think that..

Postcard From Luxembourg: normality is restored prior to vaccination.
I’ve repeatedly said that “test, test, test” is madness, if the tests are unregulated. Why?
‘Because pandemic’, NO PCR mass testing has a declared operational false positive rate.

So we don’t know the oFPR of PCR mass testing in U.K. This is conducted in a small number of private labs, set up at pace in summer, anticipating a ‘2nd wave’ (itself a dubious prediction from the Imperial team who’ve been wrong every time before). You’d assume these “Lighthouse

...Labs are surely regulated, inspected, accredited etc. They’re doing the most impactful medical diagnostic testing which has ever happened in history. But no. None of these are true. ‘Because pandemic’. Now, I don’t know the oFPR either. But we’re paying for it. It is NOT ZERO.

However, the authorities take every positive result as a “confirmed case” (though there’s nothing confirmed). There is no open protocol you can examine & debate. None of the results are available for understanding, thinking & interpretation. Wouldn’t it be important to learn...

...how the distribution of cycle threshold for positives varies through a run of tens of thousands of samples? Or through time? Or across geography? There is no routine evaluation of the characteristics of the test, even though we know the oFPR of complex systems is subject to...