Shit My Reviewers Say
shitmyreviewerssay.tumblr.com
shitmyreviewerssay.tumblr.com
http://web.mit.edu/ariely/www/MIT/Sample.shtml
> Enclosed is our latest version of Ms #85-02-22-RRRRR, that is, the re-re-re-revised revision of our paper. Choke on it. We have again rewritten the entire manuscript from start to finish. We even changed the goddamn running head! Hopefully we have suffered enough by now to satisfy even you and your bloodthirsty reviewers
...
> We hope that you will be pleased with this revision and will finally recognize how urgently deserving of publication this work is. If not, then you are an unscrupulous, depraved monster with no shred of human decency. You ought to be in a cage. May whatever heritage you come from be the butt of the next round of ethnic jokes. If you do accept it, however, we wish to thank you for your patience and wisdom throughout this process and to express our appreciation of your scholarly insights. To repay you, we would be happy to review some manuscripts for you; please send us the next manuscript that any of these reviewers submits to your journal.
I suspect the tumblr blog may be as well, though I don't know the language in biology reviews.
For context, these are reviews lampooning the style of modern horrible reviews, applied to some landmark TCS papers.
So I'd say these reviews being authentic would be very sad.
>I suspect the tumblr blog may be as well, though I don't know the language in biology reviews.
I hope sending some of the most hateful ones would get the reviewer a good scolding, not a good laugh.
Would be hilarious if it weren't so true.
I had a student once who was 'encouraged to resubmit after having the manuscript checked for language by a native speaker'. Except that he was British and just happened to be working at a Spanish university for a local project. LOL. He's a very clear writer too, certainly top 10% in clarity of scientific writing. It just shows that it's a crap shoot to get your papers accepted.
This is, to me, just one example of the perverse incentives in academia. You are constantly pushed to publish, yet the gatekeepers who ultimately decide whether your research sees the light of day rarely give it more than a cursory glance, and many have no interest in giving helpful feedback to actually, you know, make the work better.
(And remember, "bikeshedding" isn't just "arguing forever": https://en.wiktionary.org/wiki/bikeshedding It's about arguing about the things that are easy to understand, to the exclusion of the probably-more-important, but more difficult, issues.)
Obviously some of the reviewer comments are out of line or show incompetence, but others are simply reflecting the effort that the authors put into the paper. It really is that bad at times!
This blog is funnier if you're able to mentally classify the posts in four bins:
- Clearly clueless reviewer (e.g. "The reported mean of 7.7 is misleading because it appears that close to half of your participants are scoring below that mean")
- Reviewer just trying to keep the tone light in a funny way (e.g. "Unless the authors performed some clever pagan ritual before euthanizing the animals I would use ‘killed’ (or ‘euthanized’) instead of ‘sacrificed").
- Merciless and sarcastic destruction of what was very likely just garbage anyway (e.g. "This looks like a very early draft").
- Just a butthurt author's reaction (e.g. " I have read this paper several times through, and I have nothing to say in its defense.").
There is a lot of terminology flung around here that is insufficiently explained. What exactly is meant, for example, by “false negative” and “false positive” rates? “median, first quartile, and third quartile”?
I hope.
Our referees, the Editorial Board Members and ad hoc reviewers, are busy, serious individuals who give selflessly of their precious time to improve manuscripts submitted to Environmental Microbiology. But, once in a while, their humour (or admiration) gets the better of them. Here are some quotes from reviews made over the past year, just in time for the Season of Goodwill and Merriment.
• And here we go with the first 2009 comment: happy new environmental year dear editor! Regarding the manuscript: it is OK, I hope the flu is not infecting my review brain.
• WOW! You did ‘read it with interest’ in SEVEN MINUTES??!! [Ed.: this is an author contribution in response to an editorial decision (rejection) made within 7 min of submission]
[...]
• The writing style is flowery and has an air of Oscar Wilde about it.
and so forth.
"You aimed for the bare minimum, and missed!"
The writing and data presentation are so bad that I had to leave work and go home early and then spend time to wonder what life is about
"Why do you have so many tables? Did you go to Ikea?"
I use people in our lab to proofread and polish our manuscripts. He uses the peer-review process.
There are plenty of bad / lazy reviewers, but I would think the editor should be filtering stuff like this if they want to keep the journal reputable. Or maybe they've written off these article at the outset?
Oh FFS
But nothing outside what's "common" in academia (and I mean the other reviews as well)
"The reported mean of 7.7 is misleading because it appears that close to half of your participants are scoring below that mean"
Yes, arithmetic means are inherently misleading and everyone knows that. They summarize a quantity of information and conceal its important attributes like variance and skew.
The 7.7 figure was probably not being used to deliberately mislead.
The complainer hadn't in fact fact mislead; they had access to other data from the paper on which to base the complaint.
Basically it boils down to "you shouldn't have summarized such and such data using an arithmetic mean because I don't like means; whenever someone uses a mean, they are trying to deceive".
I think the charitable interpretation would be that some conclusion in the paper hinges on the value of the mean, but that conclusion is not valid when you consider that values are more widely distributed, and the reviewer just stated it poorly.
1, 2, 3, 4, ..., 98, 1000000, 1000000 then the mean would be 2,004,851 / 100 = 20048.51. In that case, 98% of your sample points fall below the mean.
"It has come to my attention that 40% of your sick days are on Fridays and Mondays. This is unacceptable."
"Ha ha ha! That's a good one. ... Please tell me he was kidding?"
"Welcome to hell, kid."
A number of the reviews might actually make a lot more sense in context. But that still leaves a number of them that there is simply no context that makes them make sense.