Marc Hauser, Virginia Heffernan, & Stephen Fry — Neuron Culture’s August Best

September 2nd, 2010

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Moving your blog generally creams one’s reader numbers. So I was happy to see that though I left Scienceblogs in mid-July, August was easily Neuron Culture’s highest traffic month ever.

What generates so much interest? Scandal and dustups. What’s new in the world?

My Marc Hauser coverage easily generated the biggest share of traffic, with my initial post on the revelations taking August’s #3 spot and a sort of climax post, , drawing the most pageviews of the month.

Squeezed among Hauser scandal at the #2 spot was … Stephen Fry, or rather a photo of a poster quoting the good and funny man. That’s above. The poster, about the size of a really big living room TV these days, is just outside the British Library in London, where I’ve been working some since coming here. A quite nice place. And Fry’s reminder is apt: Not that many truly original ideas, and every idea builds on others. I was amazed when this took off so — until I saw that it had been Kottke’d.

The four and five slots accepted two holdovers from what I now like to call PepsiFizz: My exit post, A food blog I can’t digest, written when the can first popped, and my rejoinder to Virginia Heffernan’s Times Magazine column on the sticky mess, which was the last thing I wrote on it.

Will be interesting to see what September brings.

 

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Inclusive takes on inclusive fitness flap. Fight notes.

September 1st, 2010

A week ago, evo biologist heavyweight E.O. Wilson and others published a paper in which they challenged the standard explanation for why animals do nice things for one another. Nice behavior is a big deal, so the paper raised a big flap.

Let’s say you want to read just two things about this paper. Though my own survey has been less the exhaustive, I feel safe in recommending Zimmer and Hawks.

Zimmer lays it out nicely for the uninitiated, starting with a typically lucid intro

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Guardian announces new blog network and scidom over the blogosphere

September 1st, 2010

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The Guardian launched a new blog network yesterday, with a strong lineup: GrrlScientist covering matters evo and orni (bird lovers, take note), Evan Harris covering policy and politics and such, Martin Robbins bringing the Lay Scientist to a new banner, and Jon Butterworth of UCL talking life and physics. I understand they’re planning to expand. You can follow them separately or all at once.

This makes a welcome and prominent addition to the growing clusterfield of blog networks emerging post-PepsiFizz. A couple more excellent new networks, including my own new blogging home, will emerge over the next week or so. Perhaps more yet after that. I think this new emerging model, with a sky full of different, interesting, and slightly overlapping constellations, stands to produce a rich and actually more accessible exchange about science.

Meanwhile, if you feel all this science blogging is a bit overwhelming, the Guardian launch announcement offers a reason for that. I’ll let John Hawks, who is well worth a regular read, bring that one on:

 

The Guardian now has a small network of science blogs. Their launch announcement includes this surprising factoid:

You would not know it from general media coverage but, on the web, science is alive with remarkable debate. According to the Pew Research Centre, science accounts for 10% of all stories on blogs but only 1% of the stories in mainstream media coveage. (The Pew Research Center’s Project for Excellence in Journalism looked at a year’s news coverage starting from January 2009.)

I’m not sure that science accounts for 10% of stories on science blogs, but the idea is irresistible. Just think if all the effort we spend on grant applications could be directed toward productive work!

Possibly related posts at NC:

 

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Journal editor’s conclusion: Hauser fabricated data

August 27th, 2010

From Carolyn Johnson at the Globe. This is quite a blow.

Gerry Altmann, the editor of the journal Cognition, which is retracting a 2002 article in which Hauser is the lead author, said that he had been given access to information from an internal Harvard investigation related to that paper. That investigation found that the paper reported data that was not present in the videotape record that researchers make of the experiment.

“The paper reports data … but there was no such data existing on the videotape. These data are depicted in the paper in a graph,” Altmann said. “The graph is effectively a fiction and the statistic that is supplied in the main text is effectively a fiction.”

Jeff Neal, a spokesman for Harvard, said in an e-mail, “We are pleased that we have worked directly and effectively with the editors of the effected journals, including Cognition, to ensure that the scientific record is fully corrected. We will continue to be available to work with journal editors to accomplish this important goal.”

Hauser did not immediately respond to an e-mail.

Last week, the university’s dean of arts and sciences confirmed that Hauser was found solely responsible for eight instances of scientific misconduct, involving three published papers and five additional experiments. The letter did not specify the issues for each experiment.

“There were problems involving data acquisition, data analysis, data retention, and the reporting of research methodologies and results,” dean Michael D. Smith wrote in a letter.

“If it’s the case the data have in fact been fabricated, which is what I as the editor infer, that is as serious as it gets,” Altmann said.

Altmann’s right. It doesn’t really get any worse than data fabrication. And short of court or the university, it can hardly get worse than to have that conclusion reached by the editor of a major journal — someone with cred to protect, a lot of experience, and a privileged look at the data in question. This is an electrifying indictment.

See also (in order they appeared here):

Marc Hauser, monkey business, and the sine waves of science

Hauser update: Report done since JANUARY

Updated: This Hauser thing is getting hard to watch

Hauser & Harvard speak; labmates & collaborators cleared

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Science’s proper place

August 27th, 2010

is in the basement of Waterstone’s in London. Can’t win ‘em all.

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Archeology grad student pulls the cover off Gitmo growth

August 26th, 2010

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A Stanford archeology PhD student named Adrian Myers has harnessed Google Earth to reveal something the US government has tried to keep under wraps: the growth of the Guantanamo Bay prison camp. He did so drawing on readily available data, and in a way that violated no laws. Some very clever sleuthing — and a nice bit of quick-cycle archeology. Science has the (paywalled) story from ace archeology writer  Heather Pringle.

For human-rights advocates, Gitmo is terra incognita, a place of many unknowns, and its clandestine nature and location on foreign soil have helped fuel suspicions about the treatment of detainees there. In a new study published in World Archaeology this week, archaeology Ph.D. student Adrian Myers of Stanford University in Palo Alto, California, strips away part of the secrecy. By analyzing a series of satellite images easily accessible on Google Earth, Myers has drawn the first independent map of Gitmo and charted its explosive growth over the past 7 years. “He has taken the archaeological eye and turned it on Google Earth images of a heavily clouded political prison,” says cultural anthropologist David Price of St. Martin’s University in Lacey, Washington. “And this is telling us something about what’s going on at Gitmo.”

Beautiful stuff — and this techno-triumph by an archeology student speaks nicely of the eclectic nature of that discipline.

 

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Royal incest: the arguments for

August 26th, 2010


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Over at National Geographic I’ve a short piece on why royals often enjoy an exemption from the incest taboo. The piece is a sidebar to a splendid article by National Geographic science editor Jamie Shreeve on King Tut’s DNA, which revealed, among other things, that boy-king’s parents were siblings. The magazine wanted to put this rather shocking news in context, so they asked me to write about why incestuous marriages and matings have not been terribly uncommon among royalty through the ages.

Or as the article’s subtitle puts it, “Why King Tut’s family was not the only royalty to have close relations among its close relations. ” 650 words or less. Part of the result:

Overlapping genes can backfire. Siblings share half their genes on average, as do parents and offspring. First cousins’ genomes overlap 12.5 percent. Matings between close relatives can raise the danger that harmful recessive genes, especially if combined repeatedly through generations, will match up in the offspring, leading to elevated chances of health or developmental problems—perhaps Tut’s partially cleft palate and congenitally deformed foot or Charles’s small stature and impotence.

If the royals knew of these potential downsides, they chose to ignore them. According to Stanford University classics professor Walter Scheidel, one reason is that “incest sets them apart.” Royal incest occurs mainly in societies where rulers have tremendous power and no peers, except the gods. Since gods marry each other, so should royals.

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Hauser & Harvard speak; labmates & collaborators cleared

August 21st, 2010

Quite a bit of news broke on the Hauser case yesterday. I lack time to treat them at any length, but the biggies were:

• Harvard released a statement that provided a few specifics, most important being that Marc Hauser “was found solely responsible, after a thorough investigation by a faculty investigating committee, for eight instances of scientific misconduct under FAS standards.” This should effectively clear other lab members and/or collaborators and co-authors from suspicion. Obviously it seems rather damning for Hauser himself. There were problems, the statement said, “involving data acquisition, data analysis, data retention, and the reporting of research methodologies and results.” USA Today’s Science Fair ongoing story carries that statement in full.

• Hauser himself provided a brief statement, also to Science Fair:

I am deeply sorry for the problems this case has caused to my students, my colleagues, and my university..

I acknowledge that I made some significant mistakes and I am deeply disappointed that this has led to a retraction and two corrections. I also feel terrible about the concerns regarding the other five cases, which involved either unpublished work or studies in which the record was corrected before submission for publication.

I hope that the scientific community will now wait for the federal investigative agencies to make their final conclusions based on the material that they have available.

I have learned a great deal from this process and have made many changes in my own approach to research and in my lab’s research practices.

Research and teaching are my passion. After taking some time off, I look forward to getting back to my work, mindful of what I have learned in this case. This has been painful for me and those who have been associated with the work.

The same story carries some good strong quotes from Frans de Waal and David Premack on the impact this scandal has had (and is having). It’s good to see that Harvard has answered at least the most vital and immediate of these problems, which is the doubt cast on other lab members and collaborators.

• I also received some more information on the coding protocol issues I wrote about yesterday. I updated yesterday’s post accordingly.

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Updated: This Hauser thing is getting hard to watch

August 20th, 2010

The Chronicle of Higher Education’s report on a leaked memo in Harvard’s misconduct investigation of Marc Hauser paints an ugly picture. If the allegations in the memo are accurate, it appears Hauser may have fabricated data or, at best, repeatedly defended a nasty and unnecessary case of coding bias. And unless I’m missing something, it appears he was working with a sketchy experimental design may have strayed from the study design in a way that put him, wearing slick-soled shoes, on a very steep and slippery slope.

[Note: important update at bottom. It will make more sense after you've read the rest; but you should make sure you read it too.]

I excerpt from the Chronicle story at length because of this point I want to make about technique.

An internal document … sheds light on what was going on in Mr. Hauser’s lab.… A copy of the document was provided to The Chronicle by a former research assistant in the lab who has since left psychology. The document is the statement he gave to Harvard investigators in 2007.

The former research assistant, who provided the document on condition of anonymity, said his motivation in coming forward was to make it clear that it was solely Mr. Hauser who was responsible for the problems he observed. The former research assistant also hoped that more information might help other researchers make sense of the allegations.

That’s the context, and good for CHE for providing it. It’s important to note this is just one source so far. This is quite a damning account but needs corroboration. Yet it should certainly be published, if for no other reason than to push Harvard to release more specifics.

The specifics offered here, meanwhile, portray a corruption of what can be a marvelously rigorous experimental approach. Again, at length, because it’s all important:

It was one experiment in particular that led members of Mr. Hauser’s lab to become suspicious of his research and, in the end, to report their concerns about the professor to Harvard administrators.

The experiment tested the ability of rhesus monkeys to recognize sound patterns. Researchers played a series of three tones (in a pattern like A-B-A) over a sound system. After establishing the pattern, they would vary it (for instance, A-B-B) and see whether the monkeys were aware of the change. If a monkey looked at the speaker, this was taken as an indication that a difference was noticed.

The method has been used in experiments on primates and human infants. Mr. Hauser has long worked on studies that seemed to show that primates, like rhesus monkeys or cotton-top tamarins, can recognize patterns as well as human infants do. Such pattern recognition is thought to be a component of language acquisition.

Researchers watched videotapes of the experiments and “coded” the results, meaning that they wrote down how the monkeys reacted. As was common practice, two researchers independently coded the results so that their findings could later be compared to eliminate errors or bias.

According to the document that was provided to The Chronicle, the experiment in question was coded by Mr. Hauser and a research assistant in his laboratory. A second research assistant was asked by Mr. Hauser to analyze the results. When the second research assistant analyzed the first research assistant’s codes, he found that the monkeys didn’t seem to notice the change in pattern. In fact, they looked at the speaker more often when the pattern was the same. In other words, the experiment was a bust.

But Mr. Hauser’s coding showed something else entirely: He found that the monkeys did notice the change in pattern—and, according to his numbers, the results were statistically significant. If his coding was right, the experiment was a big success.

It gets worse. Reportedly the second research assistant suggested, rather sensibly, that a third researcher score the results — and Hauser reportedly resisted, repeatedly, in an email exchange that is said to be part of the record in the Harvard investigation. From the Chronicle story:

i am getting a bit pissed here,” Mr. Hauser wrote in an e-mail to one research assistant. “there were no inconsistencies! let me repeat what happened. i coded everything. then [a research assistant] coded all the trials highlighted in yellow. we only had one trial that didn’t agree. i then mistakenly told [another research assistant] to look at column B when he should have looked at column D. … we need to resolve this because i am not sure why we are going in circles.”

Eventually the research assistant and an equally troubled lab member, a grad student, reviewed and coded the trial themselves. Each coded the monkey’s responses separately — and each got scores matching those of the first assistant, contradicting Hauser’s.

Now comes the part that’s hard to watch:

They then reviewed Mr. Hauser’s coding and, according to the research assistant’s statement, discovered that what he had written down bore little relation to what they had actually observed on the videotapes. He would, for instance, mark that a monkey had turned its head when the monkey didn’t so much as flinch. It wasn’t simply a case of differing interpretations, they believed: His data were just completely wrong.

As word of the problem with the experiment spread, several other lab members revealed they had had similar run-ins with Mr. Hauser, the former research assistant says. This wasn’t the first time something like this had happened. There was, several researchers in the lab believed, a pattern in which Mr. Hauser reported false data and then insisted that it be used.

I think it’s clear to everyone that this looks really bad. If this account is accurate, Hauser either saw things that weren’t there — a spectacular case of expectancy bias — or reported things he did not see. Which latter action is known as data fabrication and a huge sin.

Very troubling. But I wanted to make a point about technique here. If the Chronicle got this right, and if my understanding of these procedures is as correct as I think it is, this memo describes not just bias, but —ouch — a protocol that provides invitations to bias (or fraud) that shouldn’t even exist.

Let me explain. I gained some familiarity with this basic experimental model a few years ago when I profiled Liz Spelke for Scientific American Mind, a wonderful Harvard researcher of infant cognition. Spelke has done beautiful work plumbing the limits of child cognition by using experiments roughly like those Hauser is using here. (She is a co-author with Hauser on some papers, though, as far as I know, not on any under suspicion.) For the profile, talking with her at length and reading many of her papers, I toured her lab and saw some trials done and watched students and assistants code some of the trial videos. And I remember admiring how rigorously she boxed out the possibility of coder bias among those scoring the videos.

As the Chronicle story notes, the core of this experimental model is to expose a monkey or infant to some stimulus, then change the stimulus and see if the subject notices — that is, looks up suddenly, or looks at something longer. As I described it in my piece:

At the heart of Spelke’s method is the observation of “attentional persistence,” the tendency of infants and children to gaze longer at something that is new, surprising, or different. Show a baby a toy bunny over and over again, and the baby will give it a shorter gaze each time. Give the bunny four ears on its tenth appearance, and if the baby looks longer, you know the baby can discern two from four. The method neatly bypasses infants’ deficiencies in speech or directed movement and instead makes the most of the one thing they control well: how long they look at an object.

Elizabeth Spelke did not invent the method of studying attentional persistence; that credit falls to Robert Fantz, a psychologist at Case Western Reserve who in the 1950s and early 1960s discovered that chimps and infants look longer at things they perceive as new, changed, or unexpected. A researcher could thus gauge an infant’s discriminatory and perceptual powers by showing him different, highly controlled scenarios, usually within a stagelike box directly in front of the infant, and observing what changes in the scenarios the infant would perceive as novel.

To do this rigorously, the coder should not know what the subject is being exposed to at any given moment. In Spelke’s lab, for instance, the babies sat on their mom’s laps in a quiet room facing a small table. The stimuli a (patterns of dots, for instance) would be presented on a little curtained stage on the table before them. The webcam filming them, which was over the little stage facing the babies, showed just the babies. It did not show what the babies were watching. (Spelke even had the moms wear blacked-out glasses so they couldn’t see the stimulus and somehow influence the baby’s reaction.)

This meant the coders watching the film saw just the babies and did not know what the babies were watching. They merely noted, within each little trial of a few minutes’ duration, when and for how long the baby’s gaze shifted from left to right, or wandered offstage, or returned to the stimuli.

In the Hauser experiment described in the Chronicle, the equivalent would seem to be to simply watch the monkeys, with no soundtrack playing and no idea what the monkey’s were hearing, and note the points in time when they looked toward the loudspeaker and how long they did so. Only later would you compare those time points against those at which the sound pattern changed. In short the coders should be blind — or deaf, as it were — to the monkey’s stimulus, just as diagnostic coders in drug trials should be blind to which patients get the drug and which placebo. [Note: Later in the day after I posted this, I was informed that the original design protocol did indeed call for such blinding. To what extent or just how that broke down is unclear. See note at bottom for more.]

Yet by the Chronicle’s description, Hauser — and perhaps his other coders as well — knew quite well what the stimuli were, either because he was listening to the soundtrack or knew the patterns so well, having designed them, that he had it in his head when he coded the monkeys’ reactions. 

Perhaps I’m missing some constraint here. But there seems to be no good reason that the coder should hear the soundtrack or know when the patterns change — and plenty of reason for the coders not to know these things.

If I’m missing something and someone In the know can lend perspective, please chime. (You can comment below or write me at davidadobbs [at] gmail.com.) I think it’s important to mention this, clarify it as much as possible — partly so we know what went amiss, and partly to protect the more rigorously won gains, and an ingenious, effective, and rigorous experimental model, of a field that is difficult but highly important.

These attentional studies can yield great results when used rigorously. But failing to blind the coders opens a world of temptation that clearly should stay closed.

I’d love to know more. We should know more. Harvard should out the report. Hauser could hardly look worse at this point. And an entire field is taking a horrific beating right now. I’m a little stunned that Harvard doesn’t have a more fluid, open mechanism to deal with cases like this.

NB: The experiment described in the memo mentioned above was never published, but these allegations are obviously relevant

PS: Mind Hacks had a post a couple years ago on Spelke’s work. And Tinker Ready has a post at Nature Networks on what it was like to take an infant to one of Spelke’s trials.

IMPORTANT UPDATE 21 AUG 2010:

Late yesterday, some 12 hours after I published the post above, I was given further information about the protocol in question by someone with knowledge of the it. The person provided credible i.d. but wishes to remain anonymous. The gist of the information is that, as appropriate to good practice, the protocol was originally designed to blind (or deafen) coders to the monkeys’ stimulus, so that the coder would merely observe a monkey in each trial, with the sound off and no knowledge of which pattern was being played, and score the monkey’s changes in behavior.

Obviously this doesn’t jibe with the coding approach that the memo described Hauser himself taking. And the Chronicle’s description leaves it unclear whether other lab members were following a fully blinded protocol during the stretch of time the memo describes. Hard at this point, if not impossible, to account for the discrepancy. Either of the anonymously sourced memos could be erroneous; the Chronicle description might have got some things wrong (easy to do); the protocol may have drifted a bit in the lab, loosening up (a serious problem); and/or the protocol might have been intentionally violated (even more serious problem).

So while the Chronicle memo certainly leaves the impression that Hauser knew the stimuli while he was coding, it never states specifically  that was the case (or excerpts the memo with enough detail to know). There’s enough mud in the water to leave some doubt about that.

Does Hauser get the benefit of that doubt in light of the statement Harvard just released? Tough call. I’m not sure we have to or should make that call at this point. It’s not exactly a moot point, because we may be talking the difference between intentional fabrication or not. That’s why it’s important to get the whole record out at some not-too-distant point. I don’t think the information at hand at this point — at least, as far as I’ve seen — gives us enough to judge those most serious questions completely.

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Related posts at NC:

Hauser update: Report done since JANUARY

Marc Hauser, monkey business, and the sine waves of science

Science bloggers diversify the news – w Hauser affair as case study

Watchdogs, sniff this: What investigative science journalism can investigate

More fraud — or more light?

Errors, publishing, and power

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Goldacre: Drug companies who hide research are unfit to experiment on people

August 14th, 2010

Ben Goldacre, with plenty of reason, takes it to the drug companies for hiding data:

The pharmaceutical industry’s behaviour has collapsed into farce. Doctors and academics – who should feel optimism at working with the drug companies to develop new treatments – feel nausea instead, knowing that there are only informal systems to deal with buried data, and these have clearly failed.

In 2005 the International Committee of Medical Journal Editors put its foot down and said its journals would only publish trials that were fully registered before they started, which should make any that went missing much easier to spot. Several years later, as recorded in this column, fewer than half of all the trials that the editors published had been adequately registered, and more than a quarter were not registered at all.

[From Drug firms hiding negative research are unfit to experiment on people]

This has been going on quite some time now. The problem is clear, but neither the companies or the regulators are responding adequately. I’m by nature an optimist. But it’s hard not to share Goldacre’s despair:

I can’t see why any company withholding data should be allowed to conduct further experiments on people. I can’t see why the state doesn’t impose crippling fines. I hope it’s because politicians don’t understand the scale of the harm.

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Related posts at Neuron Culture:

Wheels come off psychiatric manual; APA blames road conditions

The PharmacoScientific Creation of Well-Being

Pharma objects to empiricism, part xxx

Seroquel, preemption, prosecution, sex – Is the tide turning?

Pfizer pays $2.3 billion off-label marketing fine

Zyprexa, Infinite Mind, and mainstream vs. pajama press

and others in Pharma

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