Scientific rigor proponents retract paper on benefits of scientific rigor
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Should we expect everything that gets published to be definitive, the end word, worthy of enshrining on marble and being unerring in perpetuity?
Of course not. There is no more unscientific view of knowledge and of science.
Journal articles are the communications between practitioners. Blog posts before there were blog posts. Sometimes they are revolutionary. Sometimes they are work-a-day, filling in essential knowledge but not revolutionary. Many are arduous journeys that are hated by all by that touch the manuscripts by the time they get through the process of writing and peer review. Some are wrong.
The scientific literature is not a series of proofs and lemmas, it's an accumulation of evidence paired with contemporaneous interpretation of what that data might mean, and those interpretations should be viewed as fluid.
The data should be forever (unless there is error or fraud). The interpretation is moving.
I don't agree that need we tons more "rigor" in science, instead it would be better to have clearer communication along with less busy work.
We do, even with a self-correcting system. Spurious interpretations and dodgy conclusions remain in the literature forever and the signal to noise ratio degrades significantly over time. Even if no interpretation is perfect, raising the bar is better. And then, the limit between lack of rigour and outright fraud is blurry. It’s better to stay well clear, and that requires rigour.
Can you explain why? What metric are you using? What is the end goal?
I ask because there are many metrics that I care about:
- pace of discovery
- cost of discovery
- ability to work in directions that have high risk and high reward
What I don't really care about
- outsiders skimming over the literature, misinterpreting it, and coming to bad conclusions.
Raising the "rigor" bar only seems to be positive for this metric that I don't care about.
That would be a worthwhile endeavour.
Unfortunately, the incentives in worldwide academia encourage publishing at all cost, so as academia grows, so does the noise produced. Hopefully the signal grows as well, and I'm not sure where the ratio is today - but you definitely need to police the medium to keep publishing as a useful channel of communication in science.
Is it?
Looks more like academic bureaucracy to me
And herein lies a big problem with modern science, the two are conflated. Publishing by itself does little to advance science.
I feel there would be more science done if scientists discussed in an online forum than through papers
And then there's need for accessibility, for users with physical or mental handicaps, and for users with limited computing and bandwidth resources.
I haven't seen ieeexplore hosting datasets and yet we pay them to publish our stuff. Heck, most people don't even bother with publishing code or data, because there is very little or even negative incentive to do so.
The system is completely borked, because most people publish papers in order to advance their PhD studies, not their respective fields.
I strongly disagree. Publishing advances science the same way communication advances culture. Imagine Einstein didn't published any of his work. How many decades back in technology and quality of life we'd have been now?
It's like any evolutionary beneficial trait gets transferred to all population in one generation instead of many. It saves precious time.
Before electronic communications became popular, publications would publish "letters to the editor" which were kinda like an informal paper with a partial discussion or results (some publications still do that, btw).
My point here is that Publishing™ took place of simply publishing to share results with your colleagues and now the main objectives of Publishing™ is to dodge picky reviewers and to get your publishing score up to get more grants
Thank FSM for Arxiv and for researchers sending "drafts" or "unofficial" versions around
I also highly disagree that publishing does very little to advance science, it puts a relatively self-contained result into the record. Replacing publishing with forums would be the euivalent of replacing documentation with a chat.
This is a statement that can be said, and is said every time when something changes. Is it true? No, obviously it isn't. Is literally any change in literally anywhere an evidence for
- that thing working
- that thing becoming better
- that thing being governed by scientific ideals?
How does that make any sense? Actually 'science' stating A and not A is an evidence for science lying and/or being dumb.This is a statement that can be said about any self-correcting system. If there is no change, then either we are at an optimum (I don’t see anybody seriously suggesting that about science), or the system is not working. Obviously, change itself is not sufficient as it could be in the wrong direction.
Our scientific understanding improving is a sign of progress. If our ideas are not allowed to change, we’d hit a brick wall pretty quickly.
> How does that make any sense? Actually 'science' stating A and not A is an evidence for science lying and/or being dumb.
Science is not an person, it can do neither.
Definitely can be said about any organization ever, without second thinking. It changed? Then is an evidence that it self corrects, improves. Also it must have happened among scientific principles (because.), so it is a supporting evidence for those too.
>> How does that make any sense? Actually 'science' stating A and not A is an evidence for science lying and/or being dumb.
> Science is not an person, it can do neither.
Meh. Science seen from outside, how it affects us, how it communicates with us, what it does, what is its inner state, etc, etc, it definitely is something that can lie and/or can be dumb. If you open a dictionary, you'll probably find that science is defined as an activity, so science is not even an entity, but that shouldn't matter much.
It could have: one brief, vague, and hedged statement, supported by a crapton of superscript references -- which constitute the rest of the book.
So like:
"Chapter 1:
Some things about the universe are at least partly knowable.<references 1-100,000>
The End."
Very few would ever be published without a significant number of labs able to routinely achieve comparable performance.
I really hope these were just Masters level students, because at least they could get the benefit of the doubt that it was coursework or something.
If it's PhDs, I feel so sorry for them: a major part of the degree is learning to communicate research. Without publications, there is no proof they can do research or communicate it.
On the other hand, after having gotten through a couple of publications, a couple of seminars and at least one peer review process, the thesis becomes almost just a formality. Since by then you've already had plenty of experience writing, dealing with criticism, and presenting your work to experts.
Still, we are forced to study it because there are interventions that have worked in the past: cigarette smoking, teen pregnancies, etc.
And it's useful to know what made those so successful. But maybe the answer is luck.
I mean, without over-egging it you would not deploy peer review, based on the modern evidenced outcomes: the papers are demonstrably not better in volume, and have to be retracted, and peer-review has been massively destructive of career progression for academics because of Rei-ification. To me, it's analogous: the model is flawed? refine the model don't junk the principle.
I think at one remove I agree with comments which go to "this is evidence that rigor is good, and self-policing is good"
Like too much refined sugar, this is too much refined irony. What is going on?
1: https://www.theatlantic.com/science/archive/2023/08/gino-ari...
And sure, mistakes in data analysis are entirely possible. But there are lines to be drawn, always. Ariely and Gino, and now Protzko, Krosnick and company are not in the category of reasonable and honest mistakes.
On the other hand, even something with widespread effects such as the mess Excel created for genetics papers is not something that most people would find as deliberate sabotage.
Wouldn't the best experts on dishonesty get away with it leaving others none the wiser?
Perhaps delichon's hypothesis of "dark matter" dishonesty (post above) should be considered seriously.