- I have the same mortality data from ISTAT and vax data from ISS
- I scraped the study's 15d moving average incidences by vax status and checked that they matched total mortality per ISTAT
- I used that data to redo the analysis properly (ie time synchronized)
- I have the same mortality data from ISTAT and vax data from ISS
- I scraped the study's 15d moving average incidences by vax status and checked that they matched total mortality per ISTAT
- I used that data to redo the analysis properly (ie time synchronized)
a) a blatantly incorrect temporal analysis?
b) no cause-based analysis of the mortality bump?
@tandfresearch.bsky.social does look anything but great here
END
a) a blatantly incorrect temporal analysis?
b) no cause-based analysis of the mortality bump?
@tandfresearch.bsky.social does look anything but great here
END
But there is more / I happen to have the same mortality data as they authors do by region and week and age in Italy
Clearly, the bump in the 70-79 (remember which is PRE-VAX) looks covid related
4/
But there is more / I happen to have the same mortality data as they authors do by region and week and age in Italy
Clearly, the bump in the 70-79 (remember which is PRE-VAX) looks covid related
4/
When I redid their analysis correctly, ie CENTER-AVERAGING all the data, the bumps are in fact BEFORE the vaccination!
Here for 70-79
3/
When I redid their analysis correctly, ie CENTER-AVERAGING all the data, the bumps are in fact BEFORE the vaccination!
Here for 70-79
3/
They claim that this shows a mortality signal among vaccinated in the days following the dose
2/
They claim that this shows a mortality signal among vaccinated in the days following the dose
2/
Much to my surprise, the signal is not real but resulting, among other, from an analytical error!
1/
Much to my surprise, the signal is not real but resulting, among other, from an analytical error!
1/
It's a decrease vs those expected for 2024 but it's sill implausibly high
Let me explain how this happened
1/
It's a decrease vs those expected for 2024 but it's sill implausibly high
Let me explain how this happened
1/
Remember:
- Cancer deaths in <65 are essentially in adults
- Vax uptake among adults in <65 was >90% in France
So if there was a turbo-cancer effect, we should see it on the chart
Remember:
- Cancer deaths in <65 are essentially in adults
- Vax uptake among adults in <65 was >90% in France
So if there was a turbo-cancer effect, we should see it on the chart
So here the evolution of natural deaths excl covid for the <65 vs. all possible linear trends of the last decade
So here the evolution of natural deaths excl covid for the <65 vs. all possible linear trends of the last decade
There is none except for covid ... and external causes
So if you believe vaccines make people do stupid things, you have your confirmatory chart ;-)
There is none except for covid ... and external causes
So if you believe vaccines make people do stupid things, you have your confirmatory chart ;-)
It's a great study but it is not designed to say anything on the mortality impact on of C19 vaccines
This is very very disappointing...
www.epi-phare.fr/actualites/c...
It's a great study but it is not designed to say anything on the mortality impact on of C19 vaccines
This is very very disappointing...
www.epi-phare.fr/actualites/c...
There is zero sign of any unexplained excess mortality in France beyond covid, flu and heat vs. expected deaths from pre-pandemic trends in France
Vaccines therefore cannot have generated any topline visible mortality
There is zero sign of any unexplained excess mortality in France beyond covid, flu and heat vs. expected deaths from pre-pandemic trends in France
Vaccines therefore cannot have generated any topline visible mortality
However, it does not show "covid vax does not increase mortality" as claimed by its president
For that, one would need to know the relationship of mortality BEFORE VAX and this is not available
However, it does not show "covid vax does not increase mortality" as claimed by its president
For that, one would need to know the relationship of mortality BEFORE VAX and this is not available
Result
- Confirmation of a healthy vaccinee bias: 25% lower mortality among vaxed
- A 75% lower covid mortality
This indicates a RR of 66% but only potentially
1/
Result
- Confirmation of a healthy vaccinee bias: 25% lower mortality among vaxed
- A 75% lower covid mortality
This indicates a RR of 66% but only potentially
1/
Don't ask me why: I am probably even more clueless as you :-)
2/2
Don't ask me why: I am probably even more clueless as you :-)
2/2
1/2
1/2
60 and 90 (rounded) got infected in the mRNA and the regular vaccine arm, so 0.6% and 0.9%
2/
60 and 90 (rounded) got infected in the mRNA and the regular vaccine arm, so 0.6% and 0.9%
2/
But another data point in the study caught my eye, the infection rate: It was "only" 0.6-0.9% during the winter 22/23 flu wave
1/
But another data point in the study caught my eye, the infection rate: It was "only" 0.6-0.9% during the winter 22/23 flu wave
1/
It shows an increase in development issues after the start of the pandemic
What is a bit puzzling (and thus interesting) is why it remained high afterwards
It shows an increase in development issues after the start of the pandemic
What is a bit puzzling (and thus interesting) is why it remained high afterwards
Press reports say that he got caught after he escaped via the rain pipe and was recognized running naked across the historical square
4/
Press reports say that he got caught after he escaped via the rain pipe and was recognized running naked across the historical square
4/
- vax cannot have saved lives: excess was higher in 2021 than 2020 so 2021 excess is from vax
- 40% of the pop was vaxed so 40% of deaths was vaxed
Ergo: vaxed had 15% higher mortality than unvaxed🤪
- vax cannot have saved lives: excess was higher in 2021 than 2020 so 2021 excess is from vax
- 40% of the pop was vaxed so 40% of deaths was vaxed
Ergo: vaxed had 15% higher mortality than unvaxed🤪
On death displacement, Belgium actually shows that covid was not about "people going to die in 6 months anyway" but killed across the board
It saw a huge wave in Spring 2020 AND a huge heat death wave 4 months later
On death displacement, Belgium actually shows that covid was not about "people going to die in 6 months anyway" but killed across the board
It saw a huge wave in Spring 2020 AND a huge heat death wave 4 months later
So the whole paper is a theoretical exercise with a completely unbacked speculative hypothesis as conclusion
Yep: as bad as that
END
So the whole paper is a theoretical exercise with a completely unbacked speculative hypothesis as conclusion
Yep: as bad as that
END
The paper (Kuhbandner et al) expected deaths are far higher than everybody else's including those of Destatis (NB: this is not the rapid "median" approach but that from its annual expectancy report)
The paper (Kuhbandner et al) expected deaths are far higher than everybody else's including those of Destatis (NB: this is not the rapid "median" approach but that from its annual expectancy report)