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"Covid associated" doesn't mean that they died from covid. For example, in Santa Clara county doctors submit a "covid death" form if the diseased tested positive EVER. It's not a speculation, it's a form for doctors on the county website! Older patients, perhaps, have a better chance of testing positive because they go to doctors and test more often. But I've never seen charts "tests performed by age".
Back in summer 2020, when testing was widely available but they still didn't harvest tons of meaningless "positive tests", I remember comparing 2 charts, probability by age to die from covid and probability by age to die for any reason. They were remarkably similar.
I'm also curious about estimates "probability of contracting covid-like respiratory illness overtime". Say, how long does it take for an average person who lives their life normally to contract it and get sick (not counting any "asymptomatic" and "testing positive" nonsense)? It's been 2 years already. I've been around alphas, deltas, omicrons (no stupid masks, and I never took the test), it doesn't stick to me. I know other people who lived their life normally, actively socialized but never got it. What % of the population isn't susceptible? If you don't get sick, your probability of dying from the disease is zero.
The simplest way to understand this table is to just view the rightmost % column as your increased risk of death "with" covid at whatever age you are. You could visualize this by say, holding your hands 10" apart and for a 1-4 yo the relative increase is only 1% or 1/10th of an inch.
For older adults the increase is in the 10-14% range or 1 to 1.4 inches. But for a kid that baseline 10 inches was a yearly OVERALL risk of death of 1 in 2-4000 where for someone in their mid 50's it is 1 in 100 and for someone over 100 it's maybe 1 in 2!
They have been able to distract you from the fact that older people especially should be much more worried about "everything else" than the ro when it comes to overall risk of death!
Sad to see you get so off base when your typical analysis is so savvy.
The reason “with” COVID death rates increase with age is because all cause deaths increase with age. What your doing in this analysis is what everyone seems to be doing, confusing causation with correlation. You can do better.
The info here is worth more than the subscription cost. FAR MORE!
"Covid associated" doesn't mean that they died from covid. For example, in Santa Clara county doctors submit a "covid death" form if the diseased tested positive EVER. It's not a speculation, it's a form for doctors on the county website! Older patients, perhaps, have a better chance of testing positive because they go to doctors and test more often. But I've never seen charts "tests performed by age".
Back in summer 2020, when testing was widely available but they still didn't harvest tons of meaningless "positive tests", I remember comparing 2 charts, probability by age to die from covid and probability by age to die for any reason. They were remarkably similar.
I'm also curious about estimates "probability of contracting covid-like respiratory illness overtime". Say, how long does it take for an average person who lives their life normally to contract it and get sick (not counting any "asymptomatic" and "testing positive" nonsense)? It's been 2 years already. I've been around alphas, deltas, omicrons (no stupid masks, and I never took the test), it doesn't stick to me. I know other people who lived their life normally, actively socialized but never got it. What % of the population isn't susceptible? If you don't get sick, your probability of dying from the disease is zero.
The third column in the table is All-Cause Deaths, not what you wrote: "the number of people in the U.S. who are that age."
Data obtained through Freedom of Information in the UK and New Zealand greatly undermine the narrative -https://thegreatwakeup.substack.com/p/two-data-sets-that-undermine-the
Can you change description of third column to match table and add a column for total population in each age
The simplest way to understand this table is to just view the rightmost % column as your increased risk of death "with" covid at whatever age you are. You could visualize this by say, holding your hands 10" apart and for a 1-4 yo the relative increase is only 1% or 1/10th of an inch.
For older adults the increase is in the 10-14% range or 1 to 1.4 inches. But for a kid that baseline 10 inches was a yearly OVERALL risk of death of 1 in 2-4000 where for someone in their mid 50's it is 1 in 100 and for someone over 100 it's maybe 1 in 2!
They have been able to distract you from the fact that older people especially should be much more worried about "everything else" than the ro when it comes to overall risk of death!
Sad to see you get so off base when your typical analysis is so savvy.
The reason “with” COVID death rates increase with age is because all cause deaths increase with age. What your doing in this analysis is what everyone seems to be doing, confusing causation with correlation. You can do better.
Thank you for this. What does the term "covid-associated" mean in terms of the "of" / "with" distinction? Does it encompass both those categories?
Would be great if links to original research/studies were added. Without looking at the source it's hard to assess the validity of data.