I'm waiting for the combo RSV/Flu/CovidUniversalVariants/Monkey/Zombie booster.Get that last booster and keep the streak alive! Sooner you get it the sooner you can get a booster for the booster, lol.
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I'm waiting for the combo RSV/Flu/CovidUniversalVariants/Monkey/Zombie booster.Get that last booster and keep the streak alive! Sooner you get it the sooner you can get a booster for the booster, lol.
Get that last booster and keep the streak alive! Sooner you get it the sooner you can get a booster for the booster, lol.
Did you not click through? So many don’t click through anymore.Your misunderstanding is a reflection of your poor (or twisted) reading comprehension.
They've been caught lying so many times, but lets work the numbers.Good to know you're at least one year old.
“COVID-19 cases peaked from 25 August to 7 September, with the rate among fully vaccinated people at 49.5 per 100,000, while in unvaccinated people it was 561 per 100,000, a more than 10-fold difference,” Dr Chant said.
They've been caught lying so many times, but lets work the numbers.
Your quote timeframe nails the peak inoculation rate, where the jabbed are considered unvaccinated for 14 days.
View attachment 887299
This is one of the major reasons why they were able to show efficacy where there was none, by cohort shifting. So now that they can't do that anymore lets see how this is holding up? They dont do infection numbers by vaccination status anymore because it was laughable, so we'll have to use hospitalisation.
Here's the hospitalisation numbers for Mc Chant's state of NSW for the last 6 months:
View attachment 887295
Already we can see that the hospitalisation numbers show a 8,490% increase in hospitalisation for the vaccinated after adjusting for relative population sizes, without which it is ~700:1. We can see a dose response curve and we can see an unvaccinated fraction that is so small you can't cohort it at all. In other words you can't pull a positive from this data in any way. You can only say that the data is bad, but it's the official data, forced out by a FOI.
If we assume that the vaccinated are protected 10 fold, how does the total infection count hit 40% of the total population or 3,750,000 infections, when an infection rate of 50/100k would give a total case count of 3,500? Even though we've hospitalised almost 450% of that number. Ms Chant is out by a factor of 1000 and full of it once again.
How good are numbers? They'll make a liar out of any politician.
~700 to 1? A good result?To me this data looks fine: you’d expect heavily vaccinated people to be a LOT more likely to be hospitalized. That’s normal and does not indicate a lack of efficacy (I would guess vaccination reduces hospitalization risk by about 5x-10x, ballpark, and these data are not necessarily inconsistent with that).
Perhaps you could link your original sources though so it is easier to parse the data.
Are you LCHF_Matt (the guy? who created that PowerBI)? Just wondering.~700 to 1? A good result?
or adjusted for 14.5% vaccination rate 84.9 to 1? That means that an individual who gets vaccinated in NSW increases their changes of hospitalisation by 84.9 times
That number should be a fraction if there was any efficacy. If we use the numbers from the Lancet, it's a thousand times more than it should be.
When do you reckon we should start to see things that we know are correct having an effect in the population? I would have thought by now we'd be able to see this protection?
source below, have a poke around, the age data is enlightening, it destroys cohorting.
Your PowerBI shows 34 cases out of 1,182,309 people with no dose. But there are only 8.1m people in NSW, and 97% above age 16 have had at least one dose. These numbers don't add up, unless the no dose cohort is practically all children. Which would wildly skew the data.~700 to 1? A good result?
or adjusted for 14.5% vaccination rate 84.9 to 1? That means that an individual who gets vaccinated in NSW increases their changes of hospitalisation by 84.9 times
That number should be a fraction if there was any efficacy. If we use the numbers from the Lancet, it's a thousand times more than it should be.
When do you reckon we should start to see things that we know are correct having an effect in the population? I would have thought by now we'd be able to see this protection?
source below, have a poke around, the age data is enlightening, it destroys cohorting.
no.Are you LCHF_Matt (the guy? who created that PowerBI)? Just wondering.
Since an amazing 97.3% of Australians over 16 have had at least one dose of vaccine (wow!), it is remarkable that they found any unvaccinated people to enter into the report. I wonder how the unvaccinated fit into the following categories.
View attachment 887346
(from the PowerBI linked)
No, what?no.
keep looking.
Still no benefit, doesn't matter how you slice and dice:Your PowerBI shows 34 cases out of 1,182,309 people with no dose. But there are only 8.1m people in NSW, and 97% above age 16 have had at least one dose. These numbers don't add up, unless the no dose cohort is practically all children. Which would wildly skew the data.
What % of the age 70+ population have zero doses?
No I'm not matt.No, what?
The data I found in the PowerBI (and as indicated by the author) suggests we could be comparing healthy kids with decrepit 90 year old demented vascular victims.
Bring me something else and I will be happy to look at it for you.
Read the screen snip I posted above. Matt says the information for stratification analysis isn't there. If he says it isn't, then the thing you think you see isn't what you think it is.No I'm not matt.
See the graph above.
Yes, so he allocated them all to each age group. Very sneaky. Still no benefit when 10x, nor any benefit per age group. ALL negative. all the time.Read the screen snip I posted above. Matt says the information for stratification analysis isn't there. If he says it isn't, then the thing you think you see isn't what you think it is.
Doesn't matter, my friend. They are not risk stratified and compared. Matt says so. Are you calling him a liar? Bring us vaccinated 90 year old vasculopaths with 4 vaccinations vs unvaccinated 90 year old vasculopaths. In statistically significant numbers. Then we can talk.Yes, so he allocated them all to each age group. Very sneaky. Still no benefit when 10x, nor any benefit per age group. ALL negative. all the time.
Put down the crack pipe.Doesn't matter, my friend. They are not risk stratified and compared. Matt says so. Are you calling him a liar? Bring us vaccinated 90 year old vasculopaths with 4 vaccinations vs unvaccinated 90 year old vasculopaths. In statistically significant numbers. Then we can talk.
Among 51011 working-aged Cleveland Clinic employees, the bivalent COVID-19 vaccine booster was 30% effective in preventing infection, during the time when the virus strains dominant in the community were represented in the vaccine.