Yeah, we are talking about your NYC graph.Yeah the x axis vs y axis parts of this are getting all sort of mixed up in a bucket. Anyway, another thing you could do is to normalize the data to total cases rather than total vaxx or unvaxx. That might have two effects. First, it would be a different approach to determining if the peak time for vaxx vs unvaxx cases was truly shifted in the overall wave profile relative to unvaxx, which, as I recall, was your interest. Second, since NYC (I assume we are still talking about this data) is heavy vaxx you could then plot the data as a function of total cases. Maybe get something like 2/3 total cases in vaxxed people, express it as per 100K, and graph it that way. Upload. Then, horrible mistake, vaxx really does suck. And then I'm betting the (actually kind of interesting) discussion on testing proclivities and methodologies would fade away. NYC data is all available as excel or csv download. If I get some time later today might do that. might be fun. Too bad LA country doesn't appear to break down cases by vaxx status, at least that ive seen.
I know you think you got it right.
But your explanation doesn’t work.
Yeah, we are talking about your NYC graph.
Vax peak is more than a week before unvax peak. It’s a 5 day gap for San Jose. They aleady did the work of graphing by cases per 100K.
Best guess I have so far is if there was a lot of immunity developing among vaccinated people early in the omicron wave. People who were exposed to enough virus to wake up the immune response, but not enough to get sick.
I don’t have a way to test it, though.
I don’t think the 15% slice of the pie (unvaccinated population) would disqualify one from dibs at Thanksgiving. After all that’s about 6 slices per pie. How many pieces do you cut yours into?
So show me how it’s done. Explore your theory. Give an explanation for why in home tests might move the case peak.Yup, the question is the right one to start with.
You feel you’ve ruled out the question and moved on. I don’t think you’ve really explored that question.
Your question has no answer. There is nothing about testing itself that can explain the difference.So your best guess is under reported cases (lack of testing ‘it’s just allergies’ or in-home unreported tests ) amongst the vaccinated community earlier in the omicron wave.
Care to circle back to the question?
“What is it about the testing itself that would explain the difference?”
I don't believe you understood my point. Specifically, I believe that those that don't get vaccinated are much less prone to take a test unless their symptoms are more severe. If they expect a "bad cold" and get one, why test? The only time they'd test is if they went to the doctor after it got bad enough for them to seek treatment. If one group (vaxed) is getting a test when they get a mild sore throat, cough or sneezing or even before they have symptoms and another isn't getting tested until they are bed-ridden the peak will be the difference in the time the symptoms present themselves and the time they are severe.
One corruption in the data, at least in California, is anyone declining to state their vaxx status or whose vaxx status is indeterminate is lumped into unvaxxed. If tested, I certainly would decline to state (I was asked this question, as well as to mask, at a routine DUI check point....I declined both requests). Don't know how other states handle that.for what's its worth, i'm inclined to agree that, particularly at this point in the pandemic, vaxxed vs unvaxxed groups are highly reflective of deep personality traits, like in the way psychologists use the term, not some kind of judgement. no big surprise. and those traits dictate behavior as well obviously. so could there be skew in reporting time between the groups big enough to effect large population data as you are suggesting? basically unvaxxed being more prone to tough it out so to speak if i follow you. sure, i could see it. the interesting follow on would then be whether you'd think that would affect the total number of cases between the two groups, rather than just the timing of reporting. And if so, in what way?
A consistent reporting delay at least points in the right direction.for what's its worth, i'm inclined to agree that, particularly at this point in the pandemic, vaxxed vs unvaxxed groups are highly reflective of deep personality traits, like in the way psychologists use the term, not some kind of judgement. no big surprise. and those traits dictate behavior as well obviously. so could there be skew in reporting time between the groups big enough to effect large population data as you are suggesting? basically unvaxxed being more prone to tough it out so to speak if i follow you. sure, i could see it. the interesting follow on would then be whether you'd think that would affect the total number of cases between the two groups, rather than just the timing of reporting. And if so, in what way?
It's embarrasing how behind we are in evolution/understanding of the science. Canada has been doing this for months, their docs figured this out a long time ago. Other countries as well.This gets back to LONG TERM STUDIES.
We are still learning stuff.
Now they are thinking of extending the time period between shots to minimize heart issues.
This amongst many reasons is why you don't mandate a vaxx. This is why you don't mandate the young who have no risk to take a vaxx.
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CDC Considers Upping Time Between Shots to Cut Risk of Heart Issues
The CDC is weighing changes to vaccine guidance to increase the time between doses due to the risk of heart inflammation.www.breitbart.com
I think unvaxed positive tests underreport unvaxed cases. That's rather meaningless on its own since a reliable test will never over-report actual cases. I have no idea by how much it underreports as I believe it depends on how severe most cases get for unvaxed. That's hard to know. My thinking is that the more severe the "average" case is for an unvax individual, the less it will underreport as more will be motivated to get treatment and end up taking a test. I'll add that this is just a thought and I have not looked at the data.for what's its worth, i'm inclined to agree that, particularly at this point in the pandemic, vaxxed vs unvaxxed groups are highly reflective of deep personality traits, like in the way psychologists use the term, not some kind of judgement. no big surprise. and those traits dictate behavior as well obviously. so could there be skew in reporting time between the groups big enough to effect large population data as you are suggesting? basically unvaxxed being more prone to tough it out so to speak if i follow you. sure, i could see it. the interesting follow on would then be whether you'd think that would affect the total number of cases between the two groups, rather than just the timing of reporting. And if so, in what way?
A consistent reporting delay at least points in the right direction.
So, team panic worries more, gets tested early, has an earlier reported peak. Team virus ignores it, gets tested late, has a later reported peak.
If true, it would bump the reported case rate up for vaccinated, because they’d be catching more of the mild cases.
Not sure if it is the right time scale. Omicron has a pretty short incubation period. That makes it hard to squeeze in a week long delay without the patient recovering and skipping the test entirely. If that is happening, the unvax case rate would be underreported, and the unvax hospitalization/case ratio would be over estimated. (because you are underestimating the denominator.)
You don’t think there was a significant number of home testing going on during the Omicron peak?Why would in home tests move the date of peak cases?
Hard to say. SCC only had a 3-5 day lag. It’s hard to find a 3-5 day lag on a graph broken into 7 day chunks. You’re left speculating about why the green line splits off from the red in early January. Not very solid either way.What about the OC...Does it seem that cases rise at the same rate?
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One corruption in the data, at least in California, is anyone declining to state their vaxx status or whose vaxx status is indeterminate is lumped into unvaxxed. If tested, I certainly would decline to state (I was asked this question, as well as to mask, at a routine DUI check point....I declined both requests). Don't know how other states handle that.
are testing sites asking for VAX status?
I do not believe there are enough at home tests being produced to explain the low case rate among unvaccinated. The supply is an order of magitude too small for that.You don’t think there was a significant number of home testing going on during the Omicron peak?
Never said it would move the date but would definitely have an impact on how you’ve categorized the positivity rate amongst categories if you have a significant number of the population that isn’t reporting Test results.
Some of them are. For example, when my kid got tested at the Ralphs they asked him both if symptomatic and if vaccinated. It's part of the questionnaire.
Hard to say. SCC only had a 3-5 day lag. It’s hard to find a 3-5 day lag on a graph broken into 7 day chunks. You’re left speculating about why the green line splits off from the red in early January. Not very solid either way.
Do you have the same data reported daily?