I was just genuinely curious because I’ve seen this pattern from you a lot before, and it’s highly unconventional. I latched onto this comment because I think it had the least salient/debatable/falsifiable point, namely “their methodology isn’t good”.
You’ve accused me elsewhere of appealing to scientific authority (which, yes, neither of us are qualified or experienced in this field in any way; we have to weigh what the relevant experts say and do), then you quote an authority to show that this is actually allegedly bad. But then that same authority says actually, no, this is good. And if you’re referring to the papers they cite in that paragraph as your sources of choice (still an appeal to authority), then you now have the challenge of explaining why those numerous authors whose papers are cited haven’t rebutted not now just one (Poore & Nemecek 2018) but two meta-analyses synthesizing hundreds of LCAs.
it’s absolutely falsifiable: show how the problems of analyzing diverse LCA models have been rectified. they don’t do this, though, they just charge ahead compiling the data.
they don’t do this, though, they just charge ahead compiling the data.
Actually, they do exactly this, and how they do it is detailed fairly extensively in the study in Section 2: ‘Methodology’. I hope you understand the preview that Elsevier gives you isn’t the full article. I’m accessing this through the Wikipedia library, but this article happens to be available publicly through Lancaster University.
Section 2.1, “Systematic review strategy”, describes how they gathered articles and what criteria they used to include or exclude them. Next, Section 2.2 (about 2.5 pages) goes into detail about “Synthesizing results for comparison”, detailing how the Global Warming Potentials (GWP) of all of the 369 LCAs were converted into a common functional unit (thereby enabling comparison) for analysis. Finally, a brief Section 2.3 shows how the actual meta-analysis was performed.
this doesn’t address what I said. it’s a pure red herring attacking my style instead of the facts.
I was just genuinely curious because I’ve seen this pattern from you a lot before, and it’s highly unconventional. I latched onto this comment because I think it had the least salient/debatable/falsifiable point, namely “their methodology isn’t good”.
You’ve accused me elsewhere of appealing to scientific authority (which, yes, neither of us are qualified or experienced in this field in any way; we have to weigh what the relevant experts say and do), then you quote an authority to show that this is actually allegedly bad. But then that same authority says actually, no, this is good. And if you’re referring to the papers they cite in that paragraph as your sources of choice (still an appeal to authority), then you now have the challenge of explaining why those numerous authors whose papers are cited haven’t rebutted not now just one (Poore & Nemecek 2018) but two meta-analyses synthesizing hundreds of LCAs.
quoting their own source material is not an appeal to authority. it’s pointing out flawed methodology.
they temper their own conclusions by pointing out the problems with their methodology. poore-nemecek doesn’t even have the honesty to do that.
it’s absolutely falsifiable: show how the problems of analyzing diverse LCA models have been rectified. they don’t do this, though, they just charge ahead compiling the data.
Actually, they do exactly this, and how they do it is detailed fairly extensively in the study in Section 2: ‘Methodology’. I hope you understand the preview that Elsevier gives you isn’t the full article. I’m accessing this through the Wikipedia library, but this article happens to be available publicly through Lancaster University.
Section 2.1, “Systematic review strategy”, describes how they gathered articles and what criteria they used to include or exclude them. Next, Section 2.2 (about 2.5 pages) goes into detail about “Synthesizing results for comparison”, detailing how the Global Warming Potentials (GWP) of all of the 369 LCAs were converted into a common functional unit (thereby enabling comparison) for analysis. Finally, a brief Section 2.3 shows how the actual meta-analysis was performed.
I hope this helped. :)
but they never actually mitigate the differences in methodology between the studies they selected.