Comment by eykanal
14 hours ago
For those (like me) who don't know the authors, apparently they are well-published authors in the field of climate science whose work is very highly cited:
https://scholar.google.com/scholar?hl=en&as_sdt=0%2C39&q=gra...
Not a perfect measure of whether this is a reputable article but at least readers should know this isn't from some randos in a basement somewhere.
Ironically, those still unconvinced of the human influence on climate change seem to be the sort that would trust the basement randos more than they would reputable scientists
Because they are practicing the reverse scientific method. They hold a conclusion in their hand, like, man-made climate change is a hoax, and seek to find any threads of "evidence" that support their foregone conclusion.
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You can apply that too to the “man-made climate change is real” argument.
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There’s actually research to support the claim you’re making here (Elaboration Likelihood Model).
When forming attitudes in an area where one doesn’t care, one tends to rely more on who is saying it than what is being said. The opposite is true, if you care about [climate change], you listen to the arguments regardless of who is presenting it.
Theres a mistrust of government and the establishment. Not saying fringe is better but the behavior of govts, corruption and influence by rich donors doesn't help
> Theres a mistrust of government and the establishment. Not saying fringe is better but the behavior of govts, corruption and influence by rich donors doesn't help
These are scientists, not the government, and the US government, at least, has long opposed or been ambivalent toward climate research.
I'm not sure how rich donor influence is involved. Rich donors generally have acted to oppose climate research.
It also doesn’t help that anyone with few scruples and a desire to make a buck can quickly monetize screaming about how up is down on YouTube
Also scientists generally suck at messaging and persuasion. They think if they just dial up the stakes and consequences a little more, it'll be compelling! Maybe if we make one more documentary with bad CGI disaster movie scenes, that'll do it! Same with the stupid "Doomsday clock" that is somehow always "the closest we've ever been to nuclear war!" whenever it gets trotted out. You'd think people who know what stochastic noise is would realize when they're producing it.
They would have made a lot more headway talking about clean air, clean water, jobs, and a bright prosperous future where we manufacture wind turbines, batteries and solar panels in deep red Missouri. A minority tried that, but most stuck with the catastrophizing for decades and now that they've ruined their social credit no one will listen to the message they should have opened with.
You need people emotionally invested, and it's a lot easier to get them invested in their lives than in the abstract consequences of computer models that are at least 100 years out if they're even accurate. And most people are not independent enough to direct their own lives. If they make the right decisions on abstract concepts, it was more because the incentives/disincentives in their environment were set up correctly than they actually understood the decision they were making. Message accordingly.
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Also doesn’t help when hyperbolic predictions do not come true, such as Maldives being underwater by 2020
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It depends if they can agree with what they are saying.
It's a culture thing, nobody on the right would ever be convinced by science, they will shop around until they find what they need to hear. My sister in law sent me a video and told me that she thought it was a really good explainer and had a lot of good facts and figures to support it. To humor her, I took a brief glance at it, and saw that it was produced by Dr. Shiva. I was thinking "no way, it can't be that Shiva, could it, email guy?" Yes, yes it was.
We are doomed.
Tell her that you have a greenfield synergistic solution to upscale her big tent.
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“reputable scientists” = tax plundered research for purposes of political power. Regardless of human effect it is china doing it.
While it's true that China is currently responsible for the largest share of CO2 emissions at least their output is trending down:
See https://www.carbonbrief.org/analysis-chinas-co2-emissions-ha...
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Worth also noting that on a per capita basis China aren't even in the top ten.
Tax plundering, really dude?
Quick guess, do you think more tax dollars have gone to the fossil fuel industry, or climate scientists?
Political power, just again, amazing.
Who do you think wields more political power in the world? The fossil fuel industry and petro states, or climate scientists?
It's such a blatant, weird attempt to invert reality. It's the whole "accuse your enemy of that which you are guilty" approach.
I don't understand how this propaganda talking point sticks in anyone's head and doesn't fall apart with two seconds of critical thought.
There are various levels of perspectives
- Climate Warming is a hoax
- Climate Warming is happening, but not Man Made and part of larger cycles
- Climate Warming is Man Made, but drastic De-growth strategies cause more harm.
- Climate Warming is Man Made, don't need de-growth strategies because Technology will solve energy efficiency, clean energy growth and carbon capture and humans adapt along the way
- Climate Warming is Man Made and we need drastic de-growth strategies and complete ban of fossil fuels.
For people in the last group, all other groups look like Climate Deniers because they don't agree to their de-growth/ban plans
Things must be bleak for climate deniers if they have to make an itemized list of strawman arguments to feel good about it.
You're missing: "Climate is warming, but this is a good thing because it means Jesus will come back sooner and I'll live in endless bliss and not have to go to work anymore, so I'm going to do my part by driving a huge truck and pretend like it's fake."
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Hypothetically speaking, if people in the last group were right, and that is the logical conclusion to be reached from careful evaluation of the evidence, wouldn’t the other positions indeed be ones of wilful denial of the state of the climate?
> de-growth
Associating action to prevent with 'de-growth' is disinformation from the deniers. Climate change itself is massively de-growth. The question is how to best prevent it.
- Climate Warming in the last ~200 and current years is Man Made, but given Man’s relative shortsightedness and propensity for becoming preoccupied, his ongoing impact on climate change will run its course to one end or another, probably redefining coastlines in the process and including other effects on agriculture, diversity of species, and so on. Much, much later the Earth will more than likely enter another Ice Age and most of the planet will be frozen over. Between the Man induced (relatively) extreme warm period and the next Ice Age, Man will find his way one way or another. Or Not.
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Setting aside the names of the authors, this is a very bad paper. They take temperature data sets, "adjust" [1] them by attempting to remove the biggest recent factors (volcanism, solar and el nino cycles) affecting temperatures, then do a piece-wise regression analysis to look at trends in 10-year chunks. This is just bad methodology, akin to what a junior graduate student with a failing thesis might do to find signal in a dataset that isn't being cooperative to their hypothesis.
Climate data is inherently noisy, and there are multiple interconnected cyclic signals, ranging from the "adjusted" factors to cycles that span decades, which we don't understand at all. "Adjusting" for a few of these, then doing a regression over the subset of the data is classic cherry-picking in search of a pre-determined conclusion. The overall dubious nature of the conclusion is called out in the final paragraph of the text:
> Although the world may not continue warming at such a fast pace, it could likewise continue accelerating to even faster rates.
They're literally just extrapolating from an unknown point value that they synthesized from data massage, and telling you that's a coin toss as to whether the extrapolation will be valid.
I am not a climate scientist so you can ignore me if you like, but I am "a scientist" who believes the earth is warming, and that we are the primary cause. Nonetheless, if I saw this kind of thing in a paper in my own field, it would be immediately tossed in the trash.
[1] You can't actually adjust for these things, which the authors admit in the text. They just dance around it so that lay-readers won't understand:
> Our method of removing El Niño, volcanism, and solar variations is approximate but not perfect, so it is possible that e.g. the effect of El Niño on the 2023 and 2024 temperature is not completely eliminated.
Your summary of the article is wrong. The authors model temperature using time series over solar irradiance, volcanic activity, and southern oscillation. They calibrate that model using time series over global surface temperatures. This allows them to isolate and remove each of the three listed confounding factors. The resulting time series fits a super-linear curve -> accelerating global warming.
This has always been the big issue I have with the conclusions draw in climate publications. I encourage anyone with strong opinion on climate change to do a deep dive on the temperature analysis.
The best example I can think of is the "global warming hiatus" that was discussed in depth in the top climate journals in the mid-2010s. Nature Climate Change even devoted an entire month to it.[1]
5 years later publications were saying "there was no hiatus at all".[2]
And as you said, when you dive into the paper, you realize that temperature measures are not objective at all. And I would ask - If everyone was in agreement that temperature increases paused, then 5 years later everyone agrees they didn't, how much confidence do we really have in the measures themselves.*
As someone who conudcted scientific research, this has a ton of inherent problems. It doesn't matter what I'm measuring, if the data collection is not objective, and there is no consensus (or at least trong evidence for adjustments), then the data itself is very unreliable.
If I tried to publish a chemical paper in a top journal and manually went in and adjusted data (even with a scientific rationale) the paper would be immediately rejected.
[1] https://www.nature.com/collections/sthnxgntvp [2] https://www.sciencenews.org/article/global-warming-pause-cli...
> And as you said, when you dive into the paper, you realize that temperature measures are not objective at all.
I don't know if I'd go that far. The measurements are as objective as they can be given the limits of technology and time, but what we do with the datasets afterward is usually filled with subjective decisions. In the worst cases, you get motivated actors doing statistically invalid analysis to reach a preferred conclusion.
This happens in every field of science, but it's often worse in fields that touch politics.
It says this in bold red at the top - "This is a preprint; it has not been peer reviewed by a journal."
I am not a climate scientist - how should I think about this statement? Normally I am looking for some statement that shows a document has been vetted.
For non-specialists, I think the most important view on papers is to not view them as nuggets of truth, but communications of a group of people who are trying to establish truth. No single paper is definitive!
Peer review is an important part of scientific publication, but it's also important for the general public to not view peer review as a full vetting. Peer reviewers look for things like reproducibility of the analysis, suitability of the conclusions given the methods, discussions of the limitations of the data and methods, appropriate statistical tests, correct approval from IRBs if there are humans or animals involved, and things like that. For many journals, the editors are also asking if the results are interesting and significant enough to meet the prestige of the journal.
Peer review misses things like intentional fraud, mistakes in computations, and of course any blind spots that the field has not yet acknowledged (for example, nearly every scientific specialty had to rediscover the important of splitting training and testing datasets for machine learning methods somewhat on their own, as new practitioners adopted new methods quickly and then some papers would slip through at the beginning when reviewers were not yet aware of the necessity of this split...)
Any single paper is not revealed truth, it's a step towards establishing truth, maybe. Science is supposed to be self-correcting, which also necessitates the mistakes that need correction. Climate science is one of the fields that gets the most attention and scrutiny, so a series of papers in that field goes a long ways towards establishing truth, much more so than, say, new MRI technology in psychology.
I'd say that for a non-scientist, you should treat it as a non-event -- a paper that hasn't happened yet.
The climate is not something for which you need daily, weekly, or even monthly updates. Rather, this paper is just one more on top of a gigantic pile of evidence that that climate change is serious, something that we can and should do something about.
If the paper passes muster, you'll hear about it then, though all it'll do is very slightly increase your confidence in something that is already very well confirmed. Or, the paper may not pass review, in which case it doesn't mean anything at all, and you fall back on the existing mountain of evidence.
If the paper had reached the opposite conclusion, that might merit more investigation by you now, since that would potentially be a significant update to your beliefs. And more importantly, it would certainly be presented as if it were a fait accompli, even before peer review.
Instead, you can simply say, "I don't know what this paper means, but I already have a very well-founded understanding of climate change and its significance."
Peer review is still very relevant in climate science. But given it is from well-respected authors, I am more inclined to trust the results at this stage.
It is already published at Geophysical Research Letters, a highly (if not the most) reputable source in the area. But that journal is behind a paywall: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/202...
Oh, that contains an ELI5:
> Plain Language Summary The rise in global temperature has been widely considered to be quite steady for several decades since the 1970s. Recently, however, scientists have started to debate whether global warming has accelerated since then. It is difficult to be sure of that because of natural fluctuations in the warming rate, and so far no statistical significance (meaning 95% certainty) of an acceleration (increase in warming rate) has been demonstrated. In this study we subtract the estimated influence of El Niño events, volcanic eruptions and solar variations from the data, which makes the global temperature curve less variable, and it then shows a statistically significant acceleration of global warming since about the year 2015. Warming proceeding faster is not unexpected by climate models, but it is a cause of concern and shows how insufficient the efforts to slow and eventually stop global warming under the Paris Climate Accord have so far been.
For one thing, some of the places which would publish this kind of thing will authorize authors to provide anybody and everybody pre-prints but not the final copy they published.
In principle you could go (pay to†) read the actual final published copy, maybe it's different, but almost always it's basically the same, the text is enough to qualify.
If you go to https://eel.is/c++draft/ you'll find the "Draft" C++ standard, and it has this text:
Note: this is an early draft. It's known to be incomplet and incorrekt, and it has lots of bad formatting.
Nevertheless, the people who wrote your C++ compiler used that "draft" document, because it isn't reasonable to wait a few years for ISO to publish the "real" document which is identical other than lacking that scary text and having a bunch of verbiage about how ISO owns this document and it mustn't be republished.
And you might be thinking "OK, I'm sure those GNU hippies don't pay for a real published copy, but surely the Microsoft Corporation buys their engineers a real one". Nope. Waste of money.
† If you have a relationship with a research institution it might have this or be willing to help you order it from somewhere else at no personal cost.
Pre-prints exists because it can take up to 18 months to get a paper published in a journal or reputable conference. Since lots of people can publish pre-prints[1] what you should think depends on the authors. If they have a record of publishing good research you should think highly of the paper.
[1] - Actually, there are hoops on pre-print repositories, such as arXiv, so not everyone can post there. I guesstimate that 99% of the public has no means of posting on arXiv.
Are you? How many preprints are posted here every day?
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No, it really does not work like that, for reasons that should be obvious.
Yes, credibility is one component of evaluating conclusions from evidence.
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