The Academic Culture of Fraud
In 2006, Sylvain Lesné's Alzheimer’s research faced retraction due to manipulated images, highlighting academic fraud issues. Similar cases reveal a troubling trend of inadequate accountability in research institutions.
Read original articleIn 2006, Sylvain Lesné and coauthors published a significant paper on Alzheimer’s disease in Nature, which supported the amyloid hypothesis. This research attracted over $1 billion in funding, but in 2022, neuroscientist Matthew Schrag discovered manipulated images in Lesné's work, leading to a retraction of the paper by his coauthors. Despite the serious implications of this fraud, Lesné remains a professor at the University of Minnesota, which has not found evidence of misconduct. This incident reflects a broader issue of academic fraud, as seen in the case of Marc Tessier-Lavigne, former Stanford University president, who resigned due to falsified data in his research but later became CEO of a drug discovery company. Both cases highlight a troubling trend where institutions fail to hold individuals accountable for misconduct, often attributing issues to lab culture rather than specific actions.
The article also discusses the replication crisis in psychology, where many studies fail to replicate, indicating widespread issues of data manipulation. Notably, Dan Ariely, a prominent psychologist, faced allegations of data fabrication in a 2012 paper, yet his institution, Duke University, did not confirm any wrongdoing. The systemic nature of these issues suggests a culture of complicity in academia, where fraud can persist undetected due to inadequate oversight and accountability. The article raises concerns about the integrity of research and the potential consequences for public health, particularly in fields like medicine where fraudulent findings can delay critical advancements.
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Minor point, but I don't think one can reasonably credit Yudkowsky with this. Yudkowsy was no booster of neural nets and was quite surprised by their recent success. He's certainly said a lot of important things about artificial intelligence (mostly regarding the potential dangers of such), but his ideas haven't really contributed to current methods of constructing them.
(And yes you could say that Yudkowsky's ideas about the dangers of AI were influential on Anthropic specifically, but this quote is obviously not referring to that.)
The article is excessively negative in tone, and very dramatic and aggressive. I have found many people adjacent to academia, drop outs, or even some inside, very disenchanted and angry at how it works. And it's true, the sets of incentives, structures and political organisation in academia don't relate at all to academic excellence, and are something we have to "suffer". I wish we could come up with a better set of incentives, but it's very hard to do in a mostly vocational and passion-based activity. So what people have come up is structure the incentives along the chores (eg teaching) and easily measurable results (eg publications). And whenever you come up with an incentive structure, some people will game it. And the current state of publication stress (publish or perish) is extreme and counterproductive. But please note that these measurement requirements and incentives are imposed from outside academia. Of course, I'm not saying leave us to our devices, academia is nepotistic and political enough. But the system sure could use some overhaul. Suggestions welcome.
On the other hand, this "fraud" is incentive fraud, but not "truth" fraud. The way science Truth works is by accumulation of imperfect, even erroneous results, leading to an ever more refined understanding of the world. Scientists don't just blindly trust others, even if they cite each other (nowadays, citations are a political and incentive-gaming tool more than actual references). So these massive scale frauds don't bother us so much because they don't make understanding necessarily go backwards. Of course the payer feels it's a waste of money, but in academia we see money as support for research, which is mostly failed anyways because you only make discoveries by failing and failing again.
And progress in knowledge is nowadays still going on, even in the medical fields. And academia still works, much as healthcare and compulsory education, becausemany people feel a calling to do these professions properly, even if it doesn't seem so from outside. So let's be optimistic, even while trying to come up with improvements to the current model.
PS: So sorry for the wall of text
Anyway, quite a wake-up call to be told we should model ourselves on finance. Ow.
I don't doubt there are many, many researchers and physicians who genuinely want to help people. It's possible to me that virtually everyone does.
But if that's the case, the incentive structure has apparently gotten away from everyone and become some sort of monster working at cross-purposes toward them at all times, keeping them from succeeding.
I don't know the specific numbers, but what fraction of the U.S. workforce and economy is involved in medical/pharmaceutical or related insurance research, treatment, or administration? It has to be well into the double digits.
If people started actually being cured of things, actually being well, whole segments of this structure would collapse--and if that percentage figure is high enough, so would the economy.
I don't think we even need to posit that there are actually malevolent people involved who are trying to keep people sick. It could all just be a consequence of a whole system that depends on it to keep operating, and consequentially nudges just enough of every benevolent, neutral, or merely self-interested person's work in a direction that keeps it from making people well.
The replication crisis is clearly a big issue, but the conclusions I would draw from the examples presented are more difference between fields than a condemnation of academia. To just say "move it to private instituions" is shortsighted.
I think the biggest institutional mistake of the academic system is the over-production of academic bound PhDs.
People are strung along for years thinking they have a shot at some professorship, so they work for low pay over their prime societal contribution years before realizing there are no spots left.
Academics afraid of their future security will be more prone to fraud, and more of them need enough FU money to try things that go against the grain.
If we pre-filtered academics half way through their training based on the number of faculty positions that are available it could help curtail the fraud ridden rat race.
Yes, there should be effort to address academic fraud. But no, we should not buy into conservative propaganda and torch our institutions of higher education.
I think the logical pathway between “two 20 year old papers that ‘sparked’ the Amyloid hypothesis are responsible for the entire research agenda and billions spent on ineffective drugs” is strained. “Sparked” may be true, but the idea that a few twenty-year old fraudulent images tricked Big Pharma into spending two decades chasing this hypothesis and developing drugs, and all along the way the whole thing was based on fake data that nobody every bothered to test in a subsequent experiment? That seems deeply unlikely to me. If true I would like to see that case made with evidence.
TL;DR What I am not saying: fraud is acceptable. What I am saying is that there are many replication and error correction systems in science, and people with an axe to grind really don’t want to understand that.
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