Media is too big
VIEW IN TELEGRAM
OOH HELL NOOOO!!!💀🤬
Thought it was fake, but it's not.
Netanyahu just has a death-wish.
Thought it was fake, but it's not.
Netanyahu just has a death-wish.
The UK just changed the definition of 'excess deaths' to fit their narrative.😭🤡
In short they now say: 'we've wrongly calculated over the years, so in past years it was higher than previously reported. Hence there is no real significant excess death rise right now'.
https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/articles/estimatingexcessdeathsintheukmethodologychanges/february2024#overview-of-the-new-methodology-for-estimating-excess-mortality
In short they now say: 'we've wrongly calculated over the years, so in past years it was higher than previously reported. Hence there is no real significant excess death rise right now'.
https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/articles/estimatingexcessdeathsintheukmethodologychanges/february2024#overview-of-the-new-methodology-for-estimating-excess-mortality
Dutch Professionals Network
You can't make this shit up😭 https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/articles/estimatingexcessdeathsintheukmethodologychanges/february2024#overview-of-the-new-methodology-for-estimating-excess-mortality
Uitleg Quassi Poisson Regression.
"The Quasi-Poisson Regression is a generalization of the Poisson regression and is used when modeling an overdispersed count variable.
The Poisson model assumes that the variance is equal to the mean, which is not always a fair assumption. When the variance is greater than the mean, a Quasi-Poisson model, which assumes that the variance is a linear function of the mean, is more appropriate."
Abracadabra dus😭🤡
https://wiki.q-researchsoftware.com/wiki/Regression_-_Quasi-Poisson_Regression
"The Quasi-Poisson Regression is a generalization of the Poisson regression and is used when modeling an overdispersed count variable.
The Poisson model assumes that the variance is equal to the mean, which is not always a fair assumption. When the variance is greater than the mean, a Quasi-Poisson model, which assumes that the variance is a linear function of the mean, is more appropriate."
Abracadabra dus😭🤡
https://wiki.q-researchsoftware.com/wiki/Regression_-_Quasi-Poisson_Regression
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