Great analysis and well explained. I had to read it a couple of times in detail to really appreciate what you’ve done with the data. Looks (to me) like a good way of looking at it.
I had exactly the same thought as you, “What is this?” about the mid 2021 almost simultaneous Vic-Qld bump when I saw it in the graph further up the page. I smiled when I saw your annotation further down 🎯.
The whole post really has me scratching my head for an explanation.
You must've been looking closely to see the Vic & Qld bump - I'm glad you saw it - it's nice to know someone else is looking hard at the data. I liked to see that graph emerge from the very different baselines/method - the same, but different. It has finer features - says a little more in a small way.
I'm still wondering too. Tassie & WA had the lowest covid proportion in their deaths, and SA and NSW had similar levels to each other, so for a moment there I wondered if it was simply covid-driven. But then Vic & Qld had very different covid levels, so it isn't that, in the simple one-to-one relation. I wonder about the Astrazeneca. I went back to the TGA to continue working on recording the deaths into that bump time. DAEN was going so slowly yesterday! I don't get state level data (unless you have that?) but do get the vaccine.
Truth be told I don’t usually read any articles with lots of graphs and data on the first pass, I only look at the graphs (or tables) in detail, think up my own explanation, then go back and read the authors explanation to see what they think once I’ve thought about it a bit. I like the way you explain what you’ve done it’s very clear and concise. I think you’ve raised some very interesting questions even if you didn’t find exactly what you were looking for (or expecting).
I don’t have state level data, I’ve only got whatever appears in the DAEN fields and some FOI requests that I’ve cross referenced so I can drill into it a bit differently but not at a state level because it’s never been reported that way as far as I know.
The age-stratified data was also very bizarre: vaccine-induced excess death ought to have affected all age groups, but the under 40s barely have a blip in excess death during 2021-22, but there *was* an increase in under 40s mortality during Dictator Dan's Victorian lockdown spree...
I'm impressed if you got through it. I just had to put it down - no art of expression there.
Most of the (immediate thus detectable) vaccine deaths were in the frail elderly, as was reported very early in Norway, with the very frail unable to cope with the basic immune shock of fever, high heart rate, vomiting etc. We saw a drastic increase in pneumonitis in Australia - essentially very frail people aspirating their own vomit, written here, if you feel like wading through something else. https://madeleinelove.substack.com/p/the-vaccine-deaths-are-clear-in-the
I'm going through all the cause of death data by state in the under 45s. The number one cause of death in the age categories from 15-54 is intentional death, but one can wait years for complete data on that. Accidental poisonings make up a large slice of the non-medical causes of death in the young, as do Land Traffic Accidents, Drownings, Assaults etc. As the major structural events of lockdowns reduce many of these types of deaths, it's a bit harder to read. The other thing that happened in 2021 is that international students left, as did a lot of the young visa workers. This can make the deaths in the young look lighter. I recently read three harrowing reports from the Coroners of international students in Melbourne in 2020.
Tbh I have no idea how your article ended up on my feed, but I like graphs and data, even if my Excell skills suck. Putting cough data with respiratory death data and AE data on the same chart betrays our murderers immediately. Cheers.
Very interesting!
Great analysis and well explained. I had to read it a couple of times in detail to really appreciate what you’ve done with the data. Looks (to me) like a good way of looking at it.
I had exactly the same thought as you, “What is this?” about the mid 2021 almost simultaneous Vic-Qld bump when I saw it in the graph further up the page. I smiled when I saw your annotation further down 🎯.
The whole post really has me scratching my head for an explanation.
You must've been looking closely to see the Vic & Qld bump - I'm glad you saw it - it's nice to know someone else is looking hard at the data. I liked to see that graph emerge from the very different baselines/method - the same, but different. It has finer features - says a little more in a small way.
I'm still wondering too. Tassie & WA had the lowest covid proportion in their deaths, and SA and NSW had similar levels to each other, so for a moment there I wondered if it was simply covid-driven. But then Vic & Qld had very different covid levels, so it isn't that, in the simple one-to-one relation. I wonder about the Astrazeneca. I went back to the TGA to continue working on recording the deaths into that bump time. DAEN was going so slowly yesterday! I don't get state level data (unless you have that?) but do get the vaccine.
Truth be told I don’t usually read any articles with lots of graphs and data on the first pass, I only look at the graphs (or tables) in detail, think up my own explanation, then go back and read the authors explanation to see what they think once I’ve thought about it a bit. I like the way you explain what you’ve done it’s very clear and concise. I think you’ve raised some very interesting questions even if you didn’t find exactly what you were looking for (or expecting).
I don’t have state level data, I’ve only got whatever appears in the DAEN fields and some FOI requests that I’ve cross referenced so I can drill into it a bit differently but not at a state level because it’s never been reported that way as far as I know.
Interesting analysis and far more in depth than what I covered in my 3 line graphs based on ABS data.
https://fullbroadside.substack.com/p/sustained-overkill
The age-stratified data was also very bizarre: vaccine-induced excess death ought to have affected all age groups, but the under 40s barely have a blip in excess death during 2021-22, but there *was* an increase in under 40s mortality during Dictator Dan's Victorian lockdown spree...
I'm impressed if you got through it. I just had to put it down - no art of expression there.
Most of the (immediate thus detectable) vaccine deaths were in the frail elderly, as was reported very early in Norway, with the very frail unable to cope with the basic immune shock of fever, high heart rate, vomiting etc. We saw a drastic increase in pneumonitis in Australia - essentially very frail people aspirating their own vomit, written here, if you feel like wading through something else. https://madeleinelove.substack.com/p/the-vaccine-deaths-are-clear-in-the
I'm going through all the cause of death data by state in the under 45s. The number one cause of death in the age categories from 15-54 is intentional death, but one can wait years for complete data on that. Accidental poisonings make up a large slice of the non-medical causes of death in the young, as do Land Traffic Accidents, Drownings, Assaults etc. As the major structural events of lockdowns reduce many of these types of deaths, it's a bit harder to read. The other thing that happened in 2021 is that international students left, as did a lot of the young visa workers. This can make the deaths in the young look lighter. I recently read three harrowing reports from the Coroners of international students in Melbourne in 2020.
Tbh I have no idea how your article ended up on my feed, but I like graphs and data, even if my Excell skills suck. Putting cough data with respiratory death data and AE data on the same chart betrays our murderers immediately. Cheers.