96
If we can just reduce the number to 0, we'll stop climate change at 0.5 degrees above the preindustrial baseline
(lemmy.world)
this post was submitted on 28 May 2025
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Crappy Correlations
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Post your correlation, but it better be funny damn it.
Note: Please keep it funny, and not political . There are plenty of other places on Lemmy to post more serious type of content.
This is a community just for some fun based on the spurious correlations website made by a university student.
https://www.tylervigen.com/spurious/random
I have no relation to him, but you can visit the link above and see any random correlation that you want.
You can make your own with no graphics or programming knowledge from imgflip here
If you do actually follow the link you will see not only the graph but an ai generated explanation and an AI scholarly paper that supports these correlations.
Who knows what is going to happen when the AIs pick up these hundreds of scholarly papers and put them in their training data. Anyone who wants to post a better blank graph can do so.
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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 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.