All you’d have to do is properly cite existing papers on the economic impacts of wealth inequality, economic impacts of ‘extremely high net worth individuals’, cross referenced with relevant climate change papers.
Perhaps ironically, I won’t be writing said paper, because putting that all together is work, for which I almost certainly would not be paid.
Oh, that and having access to all the journals I’d need to cite papers from costs money I don’t have, and publishing also costs money I don’t have.
I am a maimed, former data analyst /spftware dev / db admin with degrees in economics and poli sci, who is currently out of work, doing PT full time, on disability, having recently escaped homelessness, which I fell into because of the lack of and/or many holes in the societal ‘safety net’ of the US.
Hey, maybe I could not, because I wouldn’t be paid write a paper on the collective opportunity cost of lost potential productivity from our broken healthcare, housing, and unemployment insurance system as well… though I am quite confident that would not be any kind of novel publication, because many such papers already exist.
data scientist and publishing author also, but not unemployed, over extended.
yeah so I’m trying to take a more ground up quantitative approach. I’m trying to adapt methods from LCA, because when I tried to do it more as a meta analysis, things started getting double counted far too easily. but it’s just an idea that I come back to tinkering on from time to time.
Doing it from the ground up is more work, but … you actually have all the data, or at least a lot more of it, and then you can manage categories and such with more control and granularity…
It does avoid the problem of overlapping meta analyses, but … its also a lot more work, lol.
Shame my wrist can barely tolerate more than short bouts of typing, otherwise I’d offer to help in some way.
yeah I’ve been looking into LCA datasets that might be able to support in come way.
but every time I dig in it always ends up being a rabbit hole. because, for example, the billion in profit from a pharma company has very different externalities than an oil company, or a computer chip company.
Its only a crappy correlation if you don’t read the rest of the paper with mechanistic, causal explanations provided for the shown graph.
There is no paper. I made this. Its part of some work where I’ve been trying to quantify the “excess deaths per billion in profit”.
put it in a journal when you’re done
I’ll write it on a bathroom stall door
I could write said paper.
All you’d have to do is properly cite existing papers on the economic impacts of wealth inequality, economic impacts of ‘extremely high net worth individuals’, cross referenced with relevant climate change papers.
Perhaps ironically, I won’t be writing said paper, because putting that all together is work, for which I almost certainly would not be paid.
Oh, that and having access to all the journals I’d need to cite papers from costs money I don’t have, and publishing also costs money I don’t have.
I am a maimed, former data analyst /spftware dev / db admin with degrees in economics and poli sci, who is currently out of work, doing PT full time, on disability, having recently escaped homelessness, which I fell into because of the lack of and/or many holes in the societal ‘safety net’ of the US.
Hey, maybe I could
not, because I wouldn’t be paidwrite a paper on the collective opportunity cost of lost potential productivity from our broken healthcare, housing, and unemployment insurance system as well… though I am quite confident that would not be any kind of novel publication, because many such papers already exist.data scientist and publishing author also, but not unemployed, over extended.
yeah so I’m trying to take a more ground up quantitative approach. I’m trying to adapt methods from LCA, because when I tried to do it more as a meta analysis, things started getting double counted far too easily. but it’s just an idea that I come back to tinkering on from time to time.
Doing it from the ground up is more work, but … you actually have all the data, or at least a lot more of it, and then you can manage categories and such with more control and granularity…
It does avoid the problem of overlapping meta analyses, but … its also a lot more work, lol.
Shame my wrist can barely tolerate more than short bouts of typing, otherwise I’d offer to help in some way.
yeah I’ve been looking into LCA datasets that might be able to support in come way.
but every time I dig in it always ends up being a rabbit hole. because, for example, the billion in profit from a pharma company has very different externalities than an oil company, or a computer chip company.
Throwing billionaires into volcanoes is endothermic, as my paper will prove