The Journal of Serendipitous and Unexpected Results
SilverTooth writes "Often, when watching a science documentary or reading an article, it seems that the scientists were executing a well-laid out plan that led to their discovery. Anyone familiar with the process of scientific discovery realizes that is a far cry from reality. Scientific discovery is fraught with false starts and blind alleys. As a result, labs accumulate vast amounts of valuable knowledge on what not to do, and what does not work. Trouble is, this knowledge is not shared using the usual method of scientific communication: the peer-reviewed article. It remains within the lab, or at the most shared informally among close colleagues. As it stands, the scientific culture discourages sharing negative results. Byte Size Biology reports on a forthcoming journal whose aim is to change this: the Journal of Serendipitous and Unexpected Results. Hopefully, scientists will be able to better share and learn more from each other's experience and mistakes."
I don't think so. This Journal will not publish any results that were expected
Penicillin? Not a mistake so much as general messiness. The guy stacked up some bacterial cultures and went on vacation. One of them grew mold. He noticed that the bacteria near the mold were dead.
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I've published a paper with negative results before - there is no great pressure against it - and sometimes failing to re-create claimed results is big news. Perhaps the reason why people think negative results are not published as often is because you don't write "why my study was a big fat failure" - you report on the results you did get - why they are not conclusive / their limitations and what you think future researchers can do to improve on it. I.e. you turn what is ostensibly a failure into a win for science (not to mention a paper for you). I have read many such papers - so they are hardly uncommon.
Control is an illusion, order our comforting lie. From chaos, through chaos, into chaos we fly
The problem with any change or reform of the publishing system is that publications are so important for the individual scientist. A paper isn't just a neat way to disseminate results. They are your work evaluation and your CV; they are keeping the score as it were. Where you publish and how often you publish directly determines where - or if - you work another year or two down the road.
And even a short paper takes a lot of time and effort to write. For an informal "don't do that; we tried and it didn't work"-email to a colleague you could just jot down three or four paragraphs after lunch. Make a paper out of it and you have weeks or more of work ahead of you - looking up other previous published reports on the same kind of experiment; doing your best to figure out and explain the exact causes; square your (lack of) results with the apparent success of other groups that did something similar; make neat, clear graphs and illustrations as needed; get formal permission from your lab and your funding agency (and your co-authors labs and funding sources) to actually publish the thing. Then revise and edit the paper multiple times after comments from your co-athours and reviewers.
So, getting good publications is vital for your ability to make rent and buy food for your family. Writing publications take a lot of time and effort - time that is pretty limited. So, even though the will to spread the word on a negative result may be there, chances is, writing it up will be relegated to the "when I've got a bit of spare time"-pile, where it will likely sit until well after retirement.
Trust the Computer. The Computer is your friend.
Repeating the study on a different population and failing to find a significant result can also show that the results don't generalise to that population.
I agree (my first paper was a negative-results paper), but I think there are some kinds of negative results that are relatively hard to get published. Papers along the lines of: "here's an approach you might have thought would work, but it turned out that it didn't, and in retrospect we can see why, which this paper will explain". If you try to submit a paper like that, you often get push-back of, "oh well, yeah it's obvious why that wouldn't work, dunno why you didn't see it earlier". And of course it often is obvious once you've read why it doesn't work.
As you point out, it's quite a bit easier to get negative results published if someone else had already claimed them as positive results. In that case, you're not both proposing and shooting down the idea simultaneously, but shooting down (or failing to confirm) someone else's idea, which has the advantages that: 1) you have evidence that at least one presumably smart person really didn't think it was obviously a bad idea (in fact, they thought it was a good one, and even that it worked); and 2) you're positioned as correcting an error in the literature, rather than as introducing a correction for a hypothetical error nobody has yet made.
It's a bit tricky to fix, because some negative results really are obvious: it does nobody in the field any good to publish "we tried X on Y, and it didn't work", if genuinely nobody who was competent in the field would've thought X would work on Y, and the reason was exactly the reason you discovered.
Incidentally, here's one previous attempt to start such a journal that didn't really get off the ground. Their one published article, which is quite good, is of the form I mention: the authors of a system called Swordfish recounted an idea they had to produce an improvement, Swordfish2, that in the end turned out to do be better than the original Swordfish. It was hard to get published elsewhere, because it wasn't correcting an existing result---nobody had previously proposed that doing what they tried to Swordfish2 was actually a good idea---but it's interesting (to me, at least) because it really does seem like a plausible idea, and I feel I learned something in reading why it didn't work.
10 PRINT CHR$(205.5+RND(1)); : GOTO 10
Einstein wasted the last half of his life on wishful thinking "God does not play dice". Well turns out we're pretty sure he does. See Bell's theorum which shows that it can't just be hidden variables. And by all accounts for a theoretical physicist he sucked at advanced math.
Isaac Newton was a horrible little man. Ill tempered, neurotic, and did wild experiments that he was lucky didn't blind him. Let's not forget the nastiness with Leibniz.
Galileo had the social skills of a village idiot which led to the suppression of his work and his imprisonment by the authorities that he angered. (They were idiots too but that's beside the point)
They're three of the greatest but I could go on.
We like to pretend our scientists are great men with a couple of eccentricities that are way too smart to socialise or tolerate fools but the fact is their thinking isn't so superior OR logical OR scientific EXCEPT in their areas of expertise. THAT is why they are remembered. Not because they were above being unscientific.
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