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No analogy is perfect. See my response here: woodhouse.substack.com/…
For a more formal and scientific exchange on the topic, see the debate between Martin Neil. Jonathan Engler, & me and Dr. Pierre Kory.
As to your December 2019 experience, what you're saying illustrates my point perfectly. Did you go to the hospital?
No analogy is perfect. See my response here: https://open.substack.com/pub/woodhouse/p/the-sickest-ive-ever-been?r=jjay2&utm_campaign=comment-list-share-cta&utm_medium=web&comments=true&commentId=48001902
For a more formal and scientific exchange on the topic, see the debate between Martin Neil. Jonathan Engler, & me and Dr. Pierre Kory.
https://wherearethenumbers.substack.com/p/a-closer-look-at-spikeopathy-as-the
https://pierrekorymedicalmusings.com/p/debate-was-covid-19-a-pandemic-caused
https://wherearethenumbers.substack.com/p/our-response-to-dr-pierre-kory
As to your December 2019 experience, what you're saying illustrates my point perfectly. Did you go to the hospital?
I’ve read, and commented on all your previous articles relating to this point, and no I didn’t go to the hospital as I did what I always do, I allowed the passage of time to firm up the diagnosis and I started to recover.
I don’t doubt that all of the points you make in your previous articles have some validity. Humans have great capacity to really louse things up. Some will apply more than others at different times and in different places, but they do not preclude a novel ‘pathogen’/bioweapon.
I'm glad to hear you weren't hospitalized - or mistreated in a hospital - whatever the cause(s). The point of my analogy is that personal experience isn't evidence of novel factors or unique conditions.
A key problem in this mess is that there is no sign of a risk-additive pathogen contributing to mortality prior to a government commencing testing in hospitals.
Even ED visits for ILI (a measure subject to social-psycho influences) were within statistically-expected ranges.
A reason I've focused on New York City is because it's the place that claims being struck by the most deadly version of this allegedly novel and fast-spreading coronavirus. Yet there's no sign of this pathogen in any data of any kind.
Even if we say there was something "new" going around in 2019 - spring 2019 or sooner, if we want to go with various kinds of sample analyses - we're left with something that wasn't increasing the risk of hospitalization or death in any age group (or in all-cause mortality).
Could all-cause death curves be manipulated? In my opinion, yes -- which is one of many reasons that governments around the world need to be forced to make every deaths certificate public.
It's easy to lie about death when you don't have to prove it.
I agree that there is something very fishy ( and artificial) about the spikes in numbers and agree that all of your suggestions could explain this.
There does seem to be a thing in ‘viral interference’ which I had never heard of before covid. Hope Simpson did a lot of work documenting this. I just recall the many charts I’ve seen from prior to covid years that show the ebb and flow of the known viruses, even the ousting of one subtype of coronavirus by the next type. There was a Canadian chap who had excellent charts on Twitter way back in 2021 I think, which showed in one area that the known coronaviruses disappeared a few months before the official appearance of covid, suggesting it had already been there but not yet detected.
I agree that the deaths during the last few years, in terms of overall numbers, do not demonstrate a pandemic. I like to think of it as people ( the elderly and frail) die from the ‘pathogen of the day’ ( you know, like soup of the day!) and basically if you’re sick you can die from whatever lurgy happens to be around at the time and it’s just a case of tipping you over the edge. Mostly it’s been the flu, recently it’s been covid.
I’ve read the posts from your co-authors about finding flu in some areas of the world during the covid years, but it did seem to disappear in some regions. We’ve also seen very unusual patterns since eg. with RSV etc. I don’t pretend to understand the nature of viruses ( or lab designed pathogens as I believe we have here) - have you read Clare Craig’s book Expired which is excellent and presents many interesting facts about viral behaviour?
Viral interference seemed to be mentioned prior, between flu strains, or I think between strains of human coronavirus. But think the idea was more of a gradual ‘do-si-do’ kind of exchange, vs the ‘lop off the arm and sprint away’ you see in the 2020 flu plots.
And the agents don't have to be interfering or competing with other. I see no real reason to believe that the testing patterns are revealing or demonstrating dynamic relationships between detected/named things.
Moreover, there are any number of things in the mix that are not detected or named. So we really have no idea about the interplay.
New Results From Theoretical Predictions on the Interactions Between Various Elephant Parts by The BLIND Collaboration coming to a conference near you.
I have read from H-S and about viral interference and don't find it to be a mechanistically demonstrated phenomenon.
"Pathogen of the Day" like Soup of the Day is gold. :)
Positive flu tests were disappeared.
We do not control the pathogens.
We control the testing and the tests.
I've pointed out there's copious evidence of far more people going to their doctor, emergency room or urgent care center in the "flu season" of 2019-2020 than the "baseline" norms. This is confirmed by the ILI percentages, which are produced from surveying a network of healthcare providers and asking them "what percentage of your patients had ILI symptoms?"
But you make a great point. These ILI surveys are missing the vast number of people who were "sick" ... because the vast number of people who are sick do NOT go to the hospital or their doctor when they have symptoms. They know they have a "bug" and they are going to be fine in a week or so ... and they know there's nothing these doctors can do to help them.
So the big spike in national ILI in the 2019-2020 pre-Covid Flu Season is not giving us the full picture on how many people were "sick" between November 2019 and early February 2020.
Here, the Reader Comment anecdotes give us a better idea of how many people were really sick in these months.