But thanks for the heads up although it still does not explain how such a piece passes peer review ... but there you go!
But thanks for the heads up although it still does not explain how such a piece passes peer review ... but there you go!
- 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/
Here a summary from Dominik (in German but I assume it's easy to translate)
bsky.app/profile/domi...
Sehe nicht, wie es das deutsche Wachstum seit Anfang November erklären soll.
Grafiken Infectieradar und @rv-enigma.bsky.social
Here a summary from Dominik (in German but I assume it's easy to translate)
bsky.app/profile/domi...
I will add a caveat, thanks for flagging!
I will add a caveat, thanks for flagging!
- No, ONS did not try to hide deaths away, it just had a great thought which yielded bad forecasts in practice
- Yes, ONS is to blame for continuing to communicate on this ... but should not be blamed for having tried a new thing
END
- No, ONS did not try to hide deaths away, it just had a great thought which yielded bad forecasts in practice
- Yes, ONS is to blame for continuing to communicate on this ... but should not be blamed for having tried a new thing
END
To this day, it does not spend a word about the implausibility and it continues to report on a weekly basis on "again, negative excess" as if everything was fine
7/
To this day, it does not spend a word about the implausibility and it continues to report on a weekly basis on "again, negative excess" as if everything was fine
7/
So far, I don't see anything to fault ONS: I like it when (stuffy) stats offices dare to try some things out and "hey, you win a few and you lose a few"
6/
So far, I don't see anything to fault ONS: I like it when (stuffy) stats offices dare to try some things out and "hey, you win a few and you lose a few"
6/
but
When playing with the numbers, I immediately got concerned about the impact in practice as this left the 2020-2025 deaths with very high levels of expected deaths in the summer
5/
but
When playing with the numbers, I immediately got concerned about the impact in practice as this left the 2020-2025 deaths with very high levels of expected deaths in the summer
5/
"Can I deduce what was caused by the pandemic and what was trend in the 2020-2024 years?"
They came to the conclusion: "Yes, if we simply forget about weeks with lots of covid deaths (>15%)"
4/
"Can I deduce what was caused by the pandemic and what was trend in the 2020-2024 years?"
They came to the conclusion: "Yes, if we simply forget about weeks with lots of covid deaths (>15%)"
4/
These were pandemic years and we know that a pandemic is not going to be "the average expected" for the coming years
3/
These were pandemic years and we know that a pandemic is not going to be "the average expected" for the coming years
3/
ONS introduced state of the art expected mortality estimation approaches (mortality trend based) but faced an issue
2/
ONS introduced state of the art expected mortality estimation approaches (mortality trend based) but faced an issue
2/
- try to spread impact without hard NPIs (too costly)
- make sure of business continuity (so not every ill at the same time in the nuclear power station)
- try to spread impact without hard NPIs (too costly)
- make sure of business continuity (so not every ill at the same time in the nuclear power station)
- R=1.4 (so not massive)
- IFR/IFR classic for flu (so I guess IFR <0.1%)
- and cross-immunity among the older from previous strains
1/
- R=1.4 (so not massive)
- IFR/IFR classic for flu (so I guess IFR <0.1%)
- and cross-immunity among the older from previous strains
1/
On the strain of H1N1 in 2009-2010: What are the current best / least bad guesses about its R0, IFR/IHR, and level of cross-immunity we had when virus when it hit the world? Do you have info on that?
On the strain of H1N1 in 2009-2010: What are the current best / least bad guesses about its R0, IFR/IHR, and level of cross-immunity we had when virus when it hit the world? Do you have info on that?