"To make these viruses seem like threats, however, they must be "helped" greatly. Not just hyped, not just a pandemic of false positives, but people have to be poisoned and deprived, in order for these viruses to become threats to at least some of us."
- Yes, Covid was a spectacularly weak virus compared to previous Pandemic vi…
"To make these viruses seem like threats, however, they must be "helped" greatly. Not just hyped, not just a pandemic of false positives, but people have to be poisoned and deprived, in order for these viruses to become threats to at least some of us."
- Yes, Covid was a spectacularly weak virus compared to previous Pandemic viruses. That's why I call it a pseudopandemic, it doesn't have anywhere near the lethality to justify the term "Pandemic".
There is no doubt they massively exaggerated the kill rate with the nonsensical "died with Covid" after a positive PCR test within x days. They REALLY got the party started by moving elderly Covid patients into old people's homes.
In my opinion, this is just further evidence of premeditation and psyoping people.
"The pandemic pattern is quite weird, where we have cities that are hard-hit, but neighboring cities with strong travel and economic connections are only mildly affected"
Again I come back to the quasispecies swarm aspect. It seems that only 10-15% of the population is susceptible to any given variant. "Scientists don't know why this is" but I bet it can be explained by the quasispecies swarm phenomena.
"The quasispecies swarm model approaches RNA viruses not as discrete genotypes transmitted on by discrete strains, but instead as quasispecies of mutant swarms of virions which carry distinct but complimentary sets of alleles – collections of genes thought to work together – which work in concert in real-time to establish and expand infections. One of the first empirical changes that comes once you consider an RNA virus as a quasispecies is that at any point in time an average of all the extant variants’ genomes serves as the smallest selective unit, as opposed to using individual virions or any single extant genome in a population, the classical approach.
This quasispecies viral swarming is an amorphous behavior that describes the search for fitness that occurs as each successive generation of the swarm produces another spectra of mutations, with the term “quasispecies” specifically describing “distributions of non-identical but related genomes subjected to a continuous process of genetic variation, competition, and selection, and which act as a unit of selection.”
Each of these distributions can be considered clouds of allelic statistical possibilities, each of which represents the spectrum of mutations that can be expected to emerge within a set number of generations, so their ratios will be constantly changing over successive generations and in different environmental settings.
This type of effect has just begun to be explored within the classical model, by quantifying the antigenic waves that shimmer across the surface of quasispecies mutant swarms as they shift between the host populations, and using these measurements to indirectly measure the quasispecies swarm itself without really getting the full picture of what’s really going on.
With quasispecies viruses replicating continually once a successful infection has set in and begun to smolder, the most-fit variant for a given tissue will predominate in that one tissue when a sample is taken only from it. However, although only one variant will appear in the smoky quasispecies mutant swarm infecting the tissue, the smoldering infection will be continually throwing off new variants which represent different points in the possible mutational spectrum – some of which will be better adapted to neighboring tissue, and others acting as accelerants for the predominate variant, intensifying its virulence."
The only analogy I have for this is backtesting/optimizing trading systems. You use genetic backtesting and optimization which selects for "fitness" of variations of a given strategy. It often takes several hours to backtest a strategy with many parameters to find the one with the best fitness. The fitness is another variable - percentage profitability, drawdown, average trade duration, profit factor, etc.
So the idea is, within the swarm, it takes time to develop parameters such as infectivity, virulence, range of symptoms, etc. Because this takes time, it has the effect of not infecting everyone immediately. By the time it infects a certain subset of the population, it has evolved again to create a new strain that has to start the process again.
To calculate how this works in reality would take a supercomputer. It may even be impossible. It's evolutionary biology at its finest.
It's a crap analogy because most people won't know what I'm talking about, but it's the best I've got. 😀
Hey Rich. I know we disagree on this issue but I do agree with the basic premise. Covid is only dangerous to people who are very ill or very old. The average age of a Covid death is older than the average life expectancy.
The whole thing was a massive scam that was designed to get people to take an extremely dangerous "vaccine" they didn't need. It's not just Johnson, it's politicians all over the world. Their actions show that they aren't frightened of the virus as they break their own policies and rules.
It was and remains an IQ test.
The problem with Geert is that he is writing for an audience that isn't us. He's writing for his peers, in the hope that they wake up from their deluded trance. This is why he refuses to write what he clearly knows. He knows that mass-death is imminent - make no mistake about that, he hints at it all the time but will never say the quiet part loud. I read everything he writes and it's a mindfuck because he is all over the place. This is also why he appears to contradict himself in his own articles. It's very difficult to say what you mean without saying what you mean.
He also knows many of his peers are multi-vaxxed, and that if he starts going "full realist" then he will scare those peers to death.
In essence, what he is trying to do is put an arm around someone and give them a "come to Jesus moment", as the Yanks say. In reality, sometimes you need to scream in someone's face that they are morons and need to wake up.
I agree, SARS-COV-2 is not a real virus. It's a Frankenstein's Monster. I totally get why people don't think Covid exists because it's such a huge scam (e.g. I think 17,000 people have died OF Covid in the UK in two and a half years, a bad flu season in the UK can kill four times that many people in a few months). But if we say that the "virus" doesn't exist then we are letting the criminals who perpetrated this off the hook. We have the receipts. We know they did the GoF research and we know that the fruits of their labour were the vaxxes - which I continue to contend were the whole point.
Quasispecies Swarm theory should be an olive branch to terrain theorists because it fits with a lot of what they are saying. Ironically, viruses need their own "terrain" to be able to do what they do. Looking at it through the lens of genetic algorithm backtesting and optimization makes perfect sense. Selecting for "fitness" as it moves through a population, until it finally manages to become "fit" enough to do what it does. I totally see how that works.
I don't pretend to have all the answers but I got the coof and it was completely unlike any illness I have ever had before. Fortunately it was a nothing burger that lasted for five hours, but the brain fog was something I have only ever experienced when I was a small child trying to imagine an infinite universe. My brain temporarily stopped working for a while. It was very strange.
Cheers Rich. I have no time for Foucault and his BS. I create trading systems for markets like Forex, CFDs, Futures etc so backtesting and optimization is extremely important. What you are effectively doing is creating a "swarm" of variables and using a form of evolutionary biology (genetic algorithms) to compute the best variables you are selecting for. It sounds complicated but it's actually very easy to understand and do.
I don't really care about any of that stuff because what all my systems are doing is looking for patterns that repeat every day on very short time frames and using chart types that most people have never heard of (i.e. not time-based charts).
Algorithms are obviously a very big part of the markets now, which is why I would never trade during times of low liquidity (that includes overnight). You see these "flash crashes" more and more frequently because the algos get triggered during times of low liquidity and pile on to create the "waterfall effect".
If you are trading when there is plenty of liquidity you don't have these problems.
If you have a manual trading system that isn't discretionary and is/almost is 100% mechanical (fuzzy logic is good in most cases), then there is no reason to sit trading every day. It's boring.
Well said.
"To make these viruses seem like threats, however, they must be "helped" greatly. Not just hyped, not just a pandemic of false positives, but people have to be poisoned and deprived, in order for these viruses to become threats to at least some of us."
- Yes, Covid was a spectacularly weak virus compared to previous Pandemic viruses. That's why I call it a pseudopandemic, it doesn't have anywhere near the lethality to justify the term "Pandemic".
There is no doubt they massively exaggerated the kill rate with the nonsensical "died with Covid" after a positive PCR test within x days. They REALLY got the party started by moving elderly Covid patients into old people's homes.
In my opinion, this is just further evidence of premeditation and psyoping people.
"The pandemic pattern is quite weird, where we have cities that are hard-hit, but neighboring cities with strong travel and economic connections are only mildly affected"
Again I come back to the quasispecies swarm aspect. It seems that only 10-15% of the population is susceptible to any given variant. "Scientists don't know why this is" but I bet it can be explained by the quasispecies swarm phenomena.
"The quasispecies swarm model approaches RNA viruses not as discrete genotypes transmitted on by discrete strains, but instead as quasispecies of mutant swarms of virions which carry distinct but complimentary sets of alleles – collections of genes thought to work together – which work in concert in real-time to establish and expand infections. One of the first empirical changes that comes once you consider an RNA virus as a quasispecies is that at any point in time an average of all the extant variants’ genomes serves as the smallest selective unit, as opposed to using individual virions or any single extant genome in a population, the classical approach.
This quasispecies viral swarming is an amorphous behavior that describes the search for fitness that occurs as each successive generation of the swarm produces another spectra of mutations, with the term “quasispecies” specifically describing “distributions of non-identical but related genomes subjected to a continuous process of genetic variation, competition, and selection, and which act as a unit of selection.”
Each of these distributions can be considered clouds of allelic statistical possibilities, each of which represents the spectrum of mutations that can be expected to emerge within a set number of generations, so their ratios will be constantly changing over successive generations and in different environmental settings.
This type of effect has just begun to be explored within the classical model, by quantifying the antigenic waves that shimmer across the surface of quasispecies mutant swarms as they shift between the host populations, and using these measurements to indirectly measure the quasispecies swarm itself without really getting the full picture of what’s really going on.
With quasispecies viruses replicating continually once a successful infection has set in and begun to smolder, the most-fit variant for a given tissue will predominate in that one tissue when a sample is taken only from it. However, although only one variant will appear in the smoky quasispecies mutant swarm infecting the tissue, the smoldering infection will be continually throwing off new variants which represent different points in the possible mutational spectrum – some of which will be better adapted to neighboring tissue, and others acting as accelerants for the predominate variant, intensifying its virulence."
https://harvard2thebighouse.substack.com/p/a-grin-without-a-cat
The only analogy I have for this is backtesting/optimizing trading systems. You use genetic backtesting and optimization which selects for "fitness" of variations of a given strategy. It often takes several hours to backtest a strategy with many parameters to find the one with the best fitness. The fitness is another variable - percentage profitability, drawdown, average trade duration, profit factor, etc.
So the idea is, within the swarm, it takes time to develop parameters such as infectivity, virulence, range of symptoms, etc. Because this takes time, it has the effect of not infecting everyone immediately. By the time it infects a certain subset of the population, it has evolved again to create a new strain that has to start the process again.
To calculate how this works in reality would take a supercomputer. It may even be impossible. It's evolutionary biology at its finest.
It's a crap analogy because most people won't know what I'm talking about, but it's the best I've got. 😀
Hey Rich. I know we disagree on this issue but I do agree with the basic premise. Covid is only dangerous to people who are very ill or very old. The average age of a Covid death is older than the average life expectancy.
The whole thing was a massive scam that was designed to get people to take an extremely dangerous "vaccine" they didn't need. It's not just Johnson, it's politicians all over the world. Their actions show that they aren't frightened of the virus as they break their own policies and rules.
It was and remains an IQ test.
The problem with Geert is that he is writing for an audience that isn't us. He's writing for his peers, in the hope that they wake up from their deluded trance. This is why he refuses to write what he clearly knows. He knows that mass-death is imminent - make no mistake about that, he hints at it all the time but will never say the quiet part loud. I read everything he writes and it's a mindfuck because he is all over the place. This is also why he appears to contradict himself in his own articles. It's very difficult to say what you mean without saying what you mean.
He also knows many of his peers are multi-vaxxed, and that if he starts going "full realist" then he will scare those peers to death.
In essence, what he is trying to do is put an arm around someone and give them a "come to Jesus moment", as the Yanks say. In reality, sometimes you need to scream in someone's face that they are morons and need to wake up.
I agree, SARS-COV-2 is not a real virus. It's a Frankenstein's Monster. I totally get why people don't think Covid exists because it's such a huge scam (e.g. I think 17,000 people have died OF Covid in the UK in two and a half years, a bad flu season in the UK can kill four times that many people in a few months). But if we say that the "virus" doesn't exist then we are letting the criminals who perpetrated this off the hook. We have the receipts. We know they did the GoF research and we know that the fruits of their labour were the vaxxes - which I continue to contend were the whole point.
Quasispecies Swarm theory should be an olive branch to terrain theorists because it fits with a lot of what they are saying. Ironically, viruses need their own "terrain" to be able to do what they do. Looking at it through the lens of genetic algorithm backtesting and optimization makes perfect sense. Selecting for "fitness" as it moves through a population, until it finally manages to become "fit" enough to do what it does. I totally see how that works.
I don't pretend to have all the answers but I got the coof and it was completely unlike any illness I have ever had before. Fortunately it was a nothing burger that lasted for five hours, but the brain fog was something I have only ever experienced when I was a small child trying to imagine an infinite universe. My brain temporarily stopped working for a while. It was very strange.
Cheers Rich. I have no time for Foucault and his BS. I create trading systems for markets like Forex, CFDs, Futures etc so backtesting and optimization is extremely important. What you are effectively doing is creating a "swarm" of variables and using a form of evolutionary biology (genetic algorithms) to compute the best variables you are selecting for. It sounds complicated but it's actually very easy to understand and do.
I don't really care about any of that stuff because what all my systems are doing is looking for patterns that repeat every day on very short time frames and using chart types that most people have never heard of (i.e. not time-based charts).
Algorithms are obviously a very big part of the markets now, which is why I would never trade during times of low liquidity (that includes overnight). You see these "flash crashes" more and more frequently because the algos get triggered during times of low liquidity and pile on to create the "waterfall effect".
If you are trading when there is plenty of liquidity you don't have these problems.
If you have a manual trading system that isn't discretionary and is/almost is 100% mechanical (fuzzy logic is good in most cases), then there is no reason to sit trading every day. It's boring.