• TropicalDingdong@lemmy.worldOP
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    18 days ago

    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.

    • sp3ctr4l@lemmy.dbzer0.com
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      18 days ago

      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.

      • TropicalDingdong@lemmy.worldOP
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        18 days ago

        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.