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.
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.