Commenter mikka wants to know why:

I don’t get this “professional editors are not scientists” trope. All the professional editors I know were bench scientists at the start of their career. They read, write, look at and interpret data, talk to bench scientists and keep abreast of their fields. In a nutshell, they do what PIs do, except writing grants and deciding what projects must be pursued. The input some editors put in some of my papers would merit a middle authorship. They are scientists all right, and some of them very good ones.

Look, yes you are right that they are scientists. In a certain way. And yes, I regret the way that my opinion that they are 1) very different from Editors and Associate Editors who are primarily research scientists and 2) ruining science tends to be taken as a personal attack on their individual qualities and competence.

But there is simply no way around it.

The typical professional editor, typically at a Glamour(ish) Mag publication, is under-experienced in science compared with a real Editor.

Regardless of circumstances, if they have gone to the Editorial staff from a postdoc, without experience in the Principal Investigator chair then they have certain limitations.

It is particularly bad that ass kissing from PIs who are desperate to get their papers accepted tends to persuade these people over time that they are just as important as those PIs.

“Input” merits middle authorship, eh? Sure, anyone with half a brain can suggest a few more experiments. And if you have the despotic power of a Nature editor’s keyboard behind you, sure…they damn well will do it. And ask for more. And tell you how uniquely brilliant of a suggestion it all was.

And because it ends up published in a Glamour Mag, all the sheep will bleat approvingly about what a great paper it is.


Professional editors are ruining science.

They have no loyalty to the science*. Their job is to work to aggrandize their own magazine’s brand at the cost of the competition. It behooves them to insist that six papers worth of work gets buried in “Supplemental Methods” because no competing and lesser journal will get those data. It behooves them to structure the system in a way that authors will consider a whole bunch of other interesting data “unpublishable” because it got scooped by two weeks.

They have no understanding or consideration of the realities of scientific careers*. It is of no concern to them whether scientific production should be steady, whether uninteresting findings can later be of significance, nor whether any particular subfield really needs this particular kick in the pants. It is no concern to them that their half-baked suggestion requires a whole R01 scale project and two years of experiments. They do not have to consider any reality whatsoever. I find that real, working scientist Editors are much more reasonable about these issues.

Noob professional editors are star-struck and never, ever are able to see that the Emperor is, in fact, stark naked. Sorry, but it takes some experience and block circling time to mature your understanding of how science really works. Of what is really important over the long haul. Notice how the PLoSFail fans (to pick one recent issue) are heavily dominated by the wet-behind-the-ears types and the critics seem to mostly be established faculty? This is no coincidence.

Again, this is not about the personal qualities of the professional editors. The structure of their jobs, and typical career arc, makes it impossible for them to behave differently.

This is why it is the entire job category of professional editor that is the problem.

If you require authoritah, note that Nobel laureate Brenner said something similar.

It’s corrupt in many ways, in that scientists and academics have handed over to the editors of these journals the ability to make judgment on science and scientists.

He was clearly not talking about peer review itself, but rather the professional Glamour Mag type editor.

*as well they should not. It is a structural feature of the job category. They are not personally culpable, the institutional limitations are responsible.

Do you decide whether to accept a manuscript for review based on the Journal that is asking?

To what extent does this influence your decision to take a review assignment?


Congress is losing it.

February 27, 2014

Just after we noticed that Congress has seen fit to add a special prohibition on anything done with Federal grant funds that might suggest gun control is in order, there’s another late breaking Congressional mandate notice.


FY 2014 New Legislative Mandate

Restriction of Pornography on Computer Networks (Section 528)
“(a) None of the funds made available in this Act may be used to maintain or establish a computer network unless such network blocks the viewing, downloading, and exchanging of pornography.

(b) Nothing in subsection (a) shall limit the use of funds necessary for any Federal, State, tribal, or local law enforcement agency or any other entity carrying out criminal investigations, prosecution, or adjudication activities.”

Really guys? That was a top priority item?

Interesting though, isn’t it? Including indirect cost expenditures this would seem to apply to a very large number of Universities in the US. And now Congress has demanded they adopt nanny pR0n filters.

I don’t see any exceptions for classwork here, either.

Pot kills?

February 25, 2014

Apparently pot CAN kill.


Hartung and colleagues conclude from two Cases:

After exclusion of other causes of death we assume that the young men died from cardiovascular complications evoked by smoking cannabis….The assumption of fatal heart failure in both cases is corroborated by the acute effects of marijuana, including a marked increase in heart rate that may result in cardiac ischemia in susceptible individuals, lesser increases in cardiac output, supine blood pressure and postural hypotension….We assume the deaths of these two young men occurred due to arrhythmias evoked by smoking cannabis; however this assumption does not rule out the presence of predisposing cardiovascular factors.


The latest round of waccaloonery is the new PLoS policy on Data Access.

I’m also dismayed by two other things of which I’ve heard credible accounts in recent months. First, the head office has started to question authors over their animal use assurance statements. To fail to take the statement of local IACUC oversight as valid because of the research methods and outcomes. On the face of it, this isn’t terrible to be robustly concerned about animal use. However, in the case I am familiar with, they got it embarrassingly wrong. Wrong because any slight familiarity with the published literature would show that the “concern” was misplaced. Wrong because if they are going to try to sidestep the local IACUC and AAALAC and OLAW (and their worldwide equivalents) processes then they are headed down a serious rabbithole of expensive investigation and verification. At the moment this cannot help but be biased- and accusations are going to rain down on the non-English-speaking and non-Western country investigators I can assure you.

The second incident has to do with accusations of self-plagiarism based on the sorts of default Methods statements or Introduction and/or Discussion points that get repeated. Look there are only so many ways to say “and thus we prove a new facet of how the PhysioWhimple nucleus controls Bunny Hopping”. Only so many ways to say “The reason BunnyHopping is important is because…”. Only so many ways to say “We used optogenetic techniques to activate the gertzin neurons in the PhysioWhimple nucleus by….”. This one is particularly salient because it works against the current buzz about replication and reproducibility in science. Right? What is a “replication” if not plagiarism? And in this case, not just the way the Methods are described, the reason for doing the study and the interpretation. No, in this case it is plagiarism of the important part. The science. This is why concepts of what is “plagiarism” in science cannot be aligned with concepts of plagiarism in a bit of humanities text.

These two issues highlight, once again, why it is TERRIBLE for us scientists to let the humanities trained and humanities-blinkered wordsmiths running journals dictate how publication is supposed to work.

Data depository obsession gets us a little closer to home because the psychotics are the Open Access Eleventy waccaloons who, presumably, started out as nice, normal, reasonable scientists.

Unfortunately PLoS has decided to listen to the wild-eyed fanatics and to play in their fantasy realm of paranoid ravings.

This is a shame and will further isolate PLoS’ reputation. It will short circuit the gradual progress they have made in persuading regular, non-waccaloon science folks of the PLoS ONE mission. It will seriously cut down submissions…which is probably a good thing since PLoS ONE continues to suffer from growing pains.

But I think it a horrible loss that their current theological orthodoxy is going to blunt the central good of PLoS ONE, i.e., the assertion that predicting “impact” and “importance” before a manuscript is published is a fool’s errand and inconsistent with the best advance of science.

The first problem with this new policy is that it suggests that everyone should radically change the way they do science, at great cost of personnel time, to address the legitimate sins of the few. The scope of the problem hasn’t even been proven to be significant and we are ALL supposed to devote a lot more of our precious personnel time to data curation. Need I mention that research funds are tight and that personnel time is the most significant cost?

This brings us to the second problem. This Data Access policy requires much additional data curation which will take time. We all handle data in the way that has proved most effective for us in our operations. Other labs have, no doubt, done the same. Our solutions are not the same as people doing very closely the same work. Why? Because the PI thinks differently. The postdocs and techs have different skill sets. Maybe we are interested in sub-analysis of a data set that nobody else worries about. Maybe the proprietary software we use differs and the smoothest way to manipulate data is different. We use different statistical and graphing programs. Software versions change. Some people’s datasets are so large as to challenge the capability of regular-old, desktop computer and storage hardware. Etc, etc, etc ad nauseum.

Third problem- This diversity in data handling results, inevitably, in attempts for data orthodoxy. So we burn a lot of time and effort fighting over that. Who wins? Do we force other labs to look at the damn cumulative records for drug self-administration sessions because some old school behaviorists still exist in our field? Do we insist on individual subjects’ presentations for everything? How do we time bin a behavioral session? Are the standards for dropping subjects the same in every possible experiments. (answer: no) Who annotates the files so that any idiot humanities-major on the editorial staff of PLoS can understand that it is complete?

Fourth problem- I grasp that actual fraud and misleading presentation of data happens. But I also recognize, as the waccaloons do not, that there is a LOT of legitimate difference of opinion on data handling, even within a very old and well established methodological tradition. I also see a lot of will on the part of science denialists to pretend that science is something it cannot be in their nitpicking of the data. There will be efforts to say that the way lab X deals with their, e.g., fear conditioning trials, is not acceptable and they MUST do it the way lab Y does it. Keep in mind that this is never going to be single labs but rather clusters of lab methods traditions. So we’ll have PLoS inserting itself in the role of how experiments are to be conducted and interpreted! That’s fine for post-publication review but to use that as a gatekeeper before publication? Really PLoS ONE? Do you see how this is exactly like preventing publication because two of your three reviewers argue that it is not impactful enough?

This is the reality. Pushes for Data Access will inevitably, in real practice, result in constraints on the very diversity of science that makes it so productive. It will burn a lot of time and effort that could be more profitably applied to conducting and publishing more studies. It addresses a problem that is not clearly established as significant.

NIH Multi-PI Grant Proposals.

February 24, 2014

In my limited experience, the creation, roll-out and review of Multi-PI direction of a single NIH grant has been the smoothest GoodThing to happen in NIH supported extramural research.

I find it barely draws mention in review and deduce that my fellow scientists agree with me that it is a very good idea, long past due.


While I’m getting all irate about the pathetic non-response to the Ginther report, I have been neglecting to think about the intramural research at NIH.

From Biochemme Belle: