The legacy of lies in Alzheimer's science
223 comments
·February 2, 2025randsp
It is hard to describe how painful was to read about the overwhelming evidence of study manipulation by Masliah and others a few months ago. My father-in-law was diagnosed with this terrible disease in his late fifties, but before that he went through several misdiagnoses, including depression. He lost his job and i am now convinced that it was because he was on early stage of the disease, which affected his memory and ability to communicate. I later learned about this being something under study because apparently is a pattern: https://www.nytimes.com/2024/05/31/business/economy/alzheime... This triggered all kind of troubles as you might imagine.
After that, he went through a violent period and within a few months he could no longer speak or eat on his own. He now wears diapers and we had to hire a professional caregiver to help with his daily routines. Our family impact has been dramatic, we are not a large family so we had to spend a significant amount of resources to help his wife who is his main care giver. We have since received some assistance from the public healthcare system, but it took time, and the support did not keep pace with the rapid progression of his symptoms.
I have seen relatives pass away from other causes but this is by far one of the cruelest ways to die. After a few years of dealing with this disease, i cannot fathom any justification - good or bad - for the massive deception orchestrated, apparently for the sake of Masliag and others' careers. I hope they are held accountable and brought to trial soon for the damage they have caused to society and science.
implmntatio
if you can think of things that you or your family might have done to start managing the consequences earlier, please write them down and share.
early onset Alzheimers is a slow burn beast but you can't blame anyone for not seeing what you see or even denying the evidence.
my pops always thought his mom is just fucking with him when she showed symptoms and then (grandma) laughed about it a few minutes later ...
when I witness others or hear them talk about their parents, I'm quite often reminded of my grandma and wonder how to manage these early symptoms and set up frameworks and strategies to reduce the subliminal and subtextual reinforcement of negative reactions to triggers, both in the care-taker and the Alzheimers "patient"/ loved one ...
randsp
Professional advice and care are the best options but i think i can share some of our personal experience for what they are worth. I would say having a certain level of pragmatism is important without being insensitive with the person with this disease, for example one thing i wish we would have done earlier was to declare my father in law as "legally incapacitated", i am not sure what is the proper term in english but here in spain it means that they cannot legally bind themselves to anything without the consent of a tutor/guardian. This is a painful process because it takes time (judges, doctors, etc... must asses the case) and this acts as a constant reminder to the person with the disease of what is coming, making him/her feels useless. Another key aspect is being focused from the begining on what the healthcare system can provide for your relative as the disease progress, these bureucratic processes tend to be slow on my country, and since dementia progresses at different rates for each individual, it’s best to start looking into options early. Symptoms might advance rapidly in younger individuals.
Equally important is being sensitive and getting ready for what is to come, i don't think you can be optimistic so instead we focused on appreciating the time together, i started having more personal conversations with my father in law, we got closer and somehow that bond remains. We learned to be very patient because he went through a long period of aphasia, if he got stuck on certain phrases, we just gave him a bit of push completing the words he was missing. We also took long walks on nature. Being surrounded by a peaceful environment is important. As the disease advanced, he started to feel very confused, he couldn't recognize us sometimes and that made him angry, there was usually small hints before the outburst triggered, again being patient and trying to calm him down was important. Because he was relative young he was physically strong what was challenging but it is manageable, i think he needed to feel safe so focusing on that was a good strategy. Now he is not longer able to communicate, occasionally he says a few words and sometimes it can be even funny, it is fascinating how the brain still responds to humor even with dementia. When I sense he is nervous, I gently touch his back, and I can feel how much it reassures him. Support groups to share these experiences are important, take all the help you can get. When the disease reaches its final stages, seek the help of professionals. Their support can help the family maintain a sense of normalcy and be functional.
By the way, I just realized that I said it’s hard to be optimistic, but one thing I can truly say is that I value life so much more now. Every day that I wake up and feel present is a gift.
virginwidow
THANK YOU Pops died of Parkinson & Mum of Dementia.
My sole (selfish) aim on this matter being 500% certain my son be not burdened by my own demise. Brought a GOOD Lad into world I struggle to make sense of...
Consult:
https://www.youtube.com/watch?v=8QxIIz1yEsA
Thanks also for re-enforcing my silly notion that with few exception humanity are by nature GOOD, aside "Under Duress" ...
This is the sort of data (shove it under the rug) which profit-seeking 'studies' overlook. Inclusion could affect the bottom line, ya see.
Fossils (old folk) retired, what tax revenue do we generate?
It is terrifyin' being my age. A "dementia" diagnosis is very profitable to INSURANCE as in Medicare (EN-US) see?
Invitation for curious minds
Please AUDIT "treatment guidelines". Center for Medicare Services. FOLLOW THE MONEY
I close with HAY'LL NAW, n0t on our Watch. Should only myself stand alone, no problem at all... WE ARE NEVER ALONE
stef25
Make sure you always have some energy left when taking care of him. Don't burn yourself out. Like they say to new parents - regularly get a babysitter no matter what.
My pops died from Lewy body dementia about 2 months ago. It gets much rougher toward the end. The more carers you have the better, it's almost impossible by yourself. You'll never forget the period you're going through now. Make sure you have no regrets when it's all over.
Balgair
I'm so sorry to hear about what you are going through.
one small piece of advice from someone who had to do something similar with close family: Look into death doulas. Though your FiL is not dying, these people have a lot of resources and experience and may be able to assist you as life is so chaotic.
Again, so sorry to hear about your situation and what you're going through.
cluckindan
Counteradvice. Avoid seeking help from any kind of denominational spirit guides. Illusions do not relieve grief.
Balgair
Oh no.
No, death doulas aren't woo woo, at least the ones I've used.
They're more : Here's a the best brand of diapers, here' how to move a 200lbs man about in a bed to clean him, here's good local grief support groups, etc. In my experience, the paid home aids aren't really good at those things.
pedalpete
I work in neurotech and sleep, and our focus on slow-wave enhancement has recently had 3 papers looking at the impact in Alzheimer's.
I'm not a scientist or expert, but we do speak with experts in the field.
What I've gathered from these discussions is that Alzheimer's is likely not a single disease but likely multiple diseases which are currently being lumped into the one label.
The way Alzheimer's is diagnosed is by ruling out other forms of dementia, or other diseases. There is not a direct test for Alzheimer's, which makes sense, because we don't really know what it is, which is why we have the Amyloid Hypothesis, the Diabetes Type 3 hypothesis, etc etc.
I fear the baby is being thrown out with the bathwater here, and we need to be very careful not to vilify the Amyloid Hypotheses, but at the same time, take action against those who falsify research.
Here's some of the recent research in sleep and Alzheimer's
1) Feasibility study with a surprisingly positive result - take with a grain of salt - https://pubmed.ncbi.nlm.nih.gov/37593850/
2) Stimulation in older adults (non-AD) shows positive amyloid response with corresponding improvement in memory - https://pmc.ncbi.nlm.nih.gov/articles/PMC10758173/
DavidSJ
The way Alzheimer's is diagnosed is by ruling out other forms of dementia, or other diseases. There is not a direct test for Alzheimer's, which makes sense, because we don't really know what it is,
Correction here: while other tests are sometimes given to rule out additional factors, there is an authoritative, direct test for Alzheimer's: clinically detectable cognitive impairment in combination with amyloid and tau pathology (as seen in cerebrospinal fluid or PET scan). This amyloid-tau copathology is basically definitional to the disease, even if there are other hypotheses as to its cause.
ethbr1
> likely multiple diseases which are currently being lumped into the one label
You also described "cancer" what, 30 years ago?
We knew the symptoms, and we knew some rough classification based on where it first appeared. It took readily accessible diagnostic scans and genetic typing to really make progress.
And the brain is a lot harder imaging target.
Earw0rm
This - it's more like an end-stage failure mode of a self-regulating, dynamic system which has drifted into dysfunction.
A case of "lots of things have to work perfectly, or near enough, or a brain drifts into this state". This seems to be very much the case with cancers, essentially unless everything regulates properly, the system would on its own devolve into cancer.
Like a gyroscope which will only spin if balanced, only this gyroscope has 10^LARGE moving parts.
And when you consider the ageing process, you're talking about multiple systems operating at 50%, 75%, 85% effectiveness, all of which interact with one another, so it's inevitable that self-regulating mechanisms start to enter failure cascade.
In terms of interventions, a lot of the time it seems like the best fix is to look at which of the critical systems is most deteriorated, and try and bring that one up. So, for example, diet and exercise can restore a degraded circulatory system by a meaningful amount, but you can be an Ironman triathlete and still develop Alzheimers in your 60s. If we can find reliable ways to do the same for sleep, that will be worthwhile, and likely there are other systems where we might do the same - immune, liver, kidneys and so on.
HPsquared
It sounds like corrosion in metals. There are many different damage mechanisms and protective effects, but at the end of the day you see weakened, oxidised metal.
dsign
This is spot-on. A corollary is that the best way to fight these diseases is by doing "maintenance" early on. But we currently don't have good enough models of all those multiple systems, and a functional, "good" state may vary significantly from individual to individual. Yet, those computational models could, in due time, save lives.
Be as it may, I don't believe we can create those models manually, one by one. It's just too complicated and costly, and as this article shows, prone to turf politics. The good news is that we are having great advances in molecular simulation, and there are gargantuan investments coming to develop the world's computational capabilities. Furthermore, even the current crop of AI tools is good enough to locate and make information accessible to non-experts. So, if you are looking for a hobby in front of a computer, consider given these computational problems some attention.
pedalpete
The sleep bit is what we are working on. We increase slow-wave delta power, increasing the effectiveness of the glymphatic system to flush metabolic waste from the brain.
There is more than a decade of research into this process, the studies I pointed at earlier are focused on older adults, which see a larger improvement than a younger population, but lots of studies in university aged subjects due to the nature of research.
We have links to more of the research papers on our website https://affectablesleep.com/research
caycep
So in the clinic - what we usually do is a detailed neuropsychology battery. Also a patient history, but the neuropsych does provide some quantitative measures.
If there's clear amnestic memory loss, verbal fluency decline and visualspatial processing decline, it's more probably Alzheimer's. vs. if there's other features in terms of frontaldysexecutive functioning, behavioral changes, etc, then you think FTD or possibly LBD if there's reports of early visual hallucinations.
Amyloid PETs are getting a bit better so there's that. Amyloid-negative PETs w/ amnestic memory loss are being lumped under this new LATE (Limbic-Predominant Age-Related TDP-43 Encephalopathy) but that definition always felt a bit...handwavey to me.
11-32 adults is a good pilot paper but you have to raise funding for Phase II and III trials.
pedalpete
Awesome clarification! Thank you.
We're not the researchers, we are developing the technology to support research. They are somewhat hamstrung with the currently available technology. There are other benefits to slow-wave enhancement, non-clinical and beyond dementia. It has been suspected this could play a role in prevention of AD, we were very suspicious (and still are a bit) that we could have a direct impact in treating AD.
Having said that, the paper that looked at people with AD saw improvement in sleep, so even if we can help them subjectively feel less exhausted, that could be a quality of life benefit, even if non-clinical.
I completely agree, that proving effectiveness in treatment is a long road, but we're going through a non-clinical use first. If the research works out, we can look into clinical use at a later date.
throwaway852468
[dead]
Nemi
I want to throw something by you: what if dementia-like diseases can be linked to sleep disorders? Several papers recently have linked CSF flow through the brain during sleep (the glymphatic system), which appears to be “cleaning” the brain of waste, like the plaques seen in Alzheimers. Specifically, what if a disruption of CSF production is being impacted by, say, an imbalance of CSF precursors (like electrolytes) caused by something like a hormonal imbalance or low-grade kidney issues that don’t get picked up by normal tests? This would short-circuit the glymphatic process not allowing the body to create as much CSF as it needs. Then the brain won’t get as much cleaning as it should.
EDIT: sorry, I did not see your later reply saying that you WERE focusing on sleep disruptions! my bad. And, interesting…
pedalpete
It is actually and very unfortunately both.
One of the researchers we are connected to has posited that increased amyloid build up decreases the effectiveness of the glymphatic system, which is why we see lower delta power in older adults which then further reduces the ability to remove build-up. It's a vicious cycle.
We also see this with cortisol levels in under slept individuals and exacerbated in people with AD.
In response to a lack of sleep, the body increases cortisol, that increase in cortisol introduces challenges in getting good sleep, which increases cortisol.
For most of us, this isn't an issue as we get on top of our sleep within a fairly short period and sort this out, but in people with AD, there is a cortisol dysregulation, and potential a circadian issue as well.
One hypothesis why the AD paper I linked to earlier had such a huge impact on AD sufferers was because PTAS has been shown to have a 15% decrease in early night cortisol levels.
The cortisol levels were not checked in the AD subjects because it was a feasibility study, but I'll be speaking with the researchers next week, and hopefully that is the plan for the next stage research.
ProjectArcturis
It's also hard to distinguish whether sleep disruptions cause AD or the other way around.
pedalpete
I think it's fair to say that early sleep disruptions are related to the onset of AD, and then AD itself exacerbates these issues, I commented further above.
aredox
>I fear the baby is being thrown out with the bathwater here, and we need to be very careful not to vilify the Amyloid Hypotheses, but at the same time, take action against those who falsify research.
The problem is that as many of these studies build upon each other, many other studies are tainted. A great review would be necessary to sort this mess out - but with the US research insttutions in complete disarray, we are years away from such progress.
Earw0rm
So as a lay person with an active interest in the topic, my reading of 2) is that in the treatment group, some people showed improved sleep physiology AND improved memory, and this was attributed to the treatment, but the group as a whole did not.
If some improve, and the group average score remains unchanged, does that mean some got worse, or is it a case of the group average not being statistically significant?
What this suggests to me is that there is _surely_ a link between sleep quality and memory performance, but that whether or not the proposed treatment makes any difference - that is, whether the treatment caused the sleep improvement - is doubtful. At best it seems to be "it works moderately well for some people, and not at all for others". Am I reading it correctly?
pedalpete
You are reading that correctly, however, it is likely a limitation of the technology they used in the study.
Strangely, the didn't mention how they decided on stimulation volume, however, most studies will either set a fixed volume for the study, or measure the users hearing while they are awake, and then set a fixed volume for that person.
Our technology (and we're not the first to do this) adapts the volume based on brain response during sleep in real-time.
When you don't do this you risk either having the volume so low that it doesn't evoke a response, or so high that you decrease sleep depth, and don't get the correct response.
Therefore, anyone who did not get the appropriate volume would end up as a non-responder.
It is also more challenging for previously used algorithms to detect a slow-wave in older adults because the delta power is lower, so some of these participants may have had limited stimulation opportunities.
We've developed methods which improve on the state of the art, but we have not validated those in a study yet.
ulnarkressty
I feel that sleep will ultimately be the answer and the cure. Personal anecdote - one of my uncles is affected by this disease. One day, my aunt could not wake him up in the morning as hard as she tried. He would mumble and try to go back to sleep. When he finally awoke after 10 minutes of my aunt basically yelling at and slapping him, he was, in her words - "back to the man I used to know". Completely lucid and able to keep up with conversation, remembering everything etc. Two days later he was back to his old confused baseline.
Earw0rm
Certainly pop-sci but great on this topic:
https://www.waterstones.com/book/why-we-sleep/matthew-walker...
I'm not as optimistic as you that sleep will be a cure, but I'd be very surprised indeed if sleep quality weren't preventive. (Proving this might be more difficult, though - correlation/causation).
It's almost an argument by process of elimination - why else would literally every living thing with a brain need to spend so much of its time asleep? How is it that we still don't fully know what sleep (as distinct from either rest or unconsciousness) is actually for?
Multiple studies show that night shift work is bad for the brain - and for those with a habit of working nights (probably quite a few of us on HN, from time to time), if a recreational drug made your brain feel as bad as an all-nighter can, that would surely be one you'd put in the "treat with great caution" category, no?
No doubt the glymphatic system (a central part of higher animal physiology which was only discovered in the last 25 years) has a role to play. It may be that, as with cancer, once the degenerative process gets beyond a certain point, it's hard to stop - but I'm hopeful that science will unlock a good deal of understanding around prevention over the next decade or so - even if that's not much more than an approach to sleep hygiene analogous to "eat your 5 fruit and veg a day, don't have too much alcohol or HFCS, and make sure to do a couple of sessions of cardio and a few weights every week".
stef25
> Alzheimer's is likely not a single disease but likely multiple diseases which are currently being lumped into the one label
Back at uni 25 years ago they told me the same about schizophrenia and I'm sure it's still valid.
po
Science needs an intervention similar to what the CRM process (https://en.wikipedia.org/wiki/Crew_resource_management) did to tamp down cowboy pilots flying their planes into the sides of mountains because they wouldn't listen to their copilots who were too timid to speak up.
...on the evening of Dec 28, 1978, they experienced a landing gear abnormality. The captain decided to enter a holding pattern so they could troubleshoot the problem. The captain focused on the landing gear problem for an hour, ignoring repeated hints from the first officer and the flight engineer about their dwindling fuel supply, and only realized the situation when the engines began flaming out. The aircraft crash-landed in a suburb of Portland, Oregon, over six miles (10 km) short of the runway
It has been applied to other fields:
Elements of CRM have been applied in US healthcare since the late 1990s, specifically in infection prevention. For example, the "central line bundle" of best practices recommends using a checklist when inserting a central venous catheter. The observer checking off the checklist is usually lower-ranking than the person inserting the catheter. The observer is encouraged to communicate when elements of the bundle are not executed; for example if a breach in sterility has occurred
Maybe not this system exactly, but a new way of doing science needs to be found.
Journals, scientists, funding sources, universities and research institutions are locked in a game that encourages data hiding, publish or perish incentives, and non-reproducible results.
DrScientist
The current system lies on the market of ideas - ie if you publish rubbish a competitor lab will call you out. ie it's not the same as the two people in an aircraft cabin - in the research world that plane crashing is all part of the market adjustment - weeding out bad pilots/academics.
However it doesn't work all the time for the same reasons that markets don't work all the time - the tendency for people to choose to create cosy cartels to avoid that harsh competition.
In academia this is created around grants either directly ( are you inside the circle? ) or indirectly - the idea obviously won't work as the 'true' cause is X.
Not sure you can fully avoid this - but I'm sure their might be ways to improve it around the edges.
bjourne
> The current system lies on the market of ideas - ie if you publish rubbish a competitor lab will call you out.
Does not happen in practice. Unless you're driven by spite, fanaticism towards rigorousness, or just hate their guts there is zero incentive to call out someone's work. Note that very little of what is published is obvious nonsense. But a lot has issues like "these energy measurements are ten times lower than what I can get, how on earth did they get that?" Maybe they couldn't or maybe you misunderstood and need to be more careful when replicating? Are you going to spend months verifying that some measurements in a five-year-old paper are implausible or do you have better things to do?
DrScientist
Sure - such direct contradiction is rare - call out was the wrong phrase - that mostly only happens which people try and replicate extraordinary claims.
Much more common is another paper is published which has a different conclusion in the particular area of science which may or may not reference the original paper - ie the wrong stuff get's buried over time by the weight of other's findings.
You could say that part of the problem is correction is often incremental.
In the end the manipulation by Masliah et al came out - science tends to be incremental, rather than all big break-throughs and I'd say any system will struggle to deal with bad faith actors.
In terms of bad faith actors - you have two approaches - look at better ways to detect, and looking at the properties of the system that perhaps creates perverse incentives - but I always think it's a bad idea to focus too much on the bad actors - you risk creating more work for those who operate in good faith.
jakewins
How is that correction mechanism supposed to work though? Do you mean the peer review process?
Friends in big labs tell me they often find issues with competitor lab papers, not necessarily nefarious but like “ah no they missed thing x here so their conclusion is incorrect”.. but the effect of that is just they discard the paper in question.
In other words: the labs I’m aware of filter papers themselves on the “inbound” path in journal clubs, creating a vetted stream of papers they trust or find interesting for themselves.. but that doesn’t provide any immediate signal to anyone else about the quality of the papers
DrScientist
> How is that correction mechanism supposed to work though? Do you mean the peer review process?
No. I meant somebody else publishes the opposite.
One of the things you learn if you are a world expert in a tiny area ( PhD student ) is that half the papers published in your area are wrong/misleading in someway ( not necessarily knowingly - just they might not know some niche problem with the experimental technique they used ).
I agree peer review is far from perfect, and there is problem in that a paper being wrong is still a paper in your publication stats, but in the end you'd hope the truth will out.
People got all excited about cold fusion - then cold reality set in - I don't think the initial excitement about it was a bad thing - sometimes it takes other people to help you understand how you've fooled yourself.
CJefferson
I'm in academia, and I think it has many good points.
The number one issue in my mind is competitors labs don't call you out. It's extremely unusual for people to say, publicly, "that research was bad". Only in the event of the most extreme misconduct to people get called out, rather than just shody work.
null
po
Yeah I don't think CRM is the correct thing in this case... I just think that there needs to be some new set of incentives put in place such that the culture reinforces the outcomes you want.
rcthompson
There actually are checklists you have to fill out when publishing a paper. You have to certify that you provided all relevant statistics, have not doctored any of your images, have provided all relevant code and data presented in the paper, etc. For every paper I have ever published, every last item on these checklists was enforced rigorously by the journal. Despite this, I routinely see papers from "high-profile" researchers that obviously violate these checklists (e.g.: no data released, a not even a statement explaining why data was withheld), so it seems that they are not universally enforced. (And this includes papers published in the same journals around the same time, so they definitely had to fill out the same checklist as I did.)
boxed
Not to mention that scientists spend a crazy amount of time writing grant proposals instead of doing science. Imagine if programmers spent 40% of their time writing documents asking for money to write code. Madness.
Arwill
Project managers and consultants do actually write those documents/specifications justifying the work before the programmers get to do it.
DrScientist
Indeed. You do need some idea of what you are going to do before being funded.
The tricky bit is that in research, and this a bit like the act of programming, you often discover import stuff in the process of doing - and the more innovative the area - the more likely this is to happen.
Big labs deal with this by having enough money to self-fund prospective work, or support things for extra time - the real problem is that new researchers - who often have the new ideas, are the most constrained.
boxed
Kinda making my point :P
If your org does this, that's a problem.
dumbfounder
How else would it work? The onus needs to be on someone to make sure we are doing worthwhile things. Like anything else in life, you need to prove you deserve the money before you get it. Often that means you need to refine your ideas and pitches to match what the world thinks it needs. Then once you get a track record it lowers your risk profile and money comes more easily.
aqsalose
Sounds sensible, bu the major unasked question it avoids is, was the current funding and organization structure of science in place when the past scientific achievements were achieved.
the impression I get from anecdotes and remarks is that pre-1990s, university departments used to be the major scientific social institution, providing organization where the science was done, with feedback cycle measured in careers. Faculty members would socialize and collaborate or compete with other members. Most of the scientific norms were social, possible because the stakes were low (measured in citations, influence and prestige only).
It is quite unlike current system centered on research groups formed around PIs and their research groups, an machine optimized for gathering temporary funding for non-tenured staff so that they can produce publications and 'network', using all that to gather more funding before the previous runs out. No wonder the social norms like "don't falsify evidence; publish when you have true and correct results; write and publish your true opinions; don't participate in citation laundering circles" can't last. Possibility of failure is much frequent (every grant cycle), environment is highly competitive in a way that you get only few shots at scientific career or you are out.
dkarl
Imagine if everybody in every software company was an "engineer," including the executives, salespeople, and market researchers. Imagine if they only ever hired people trained as software engineers, and only hired them into software development roles, and staffed every other position in the company from engineering hires who had skill and interest at performing other roles. That's how medical practices, law firms, and some other professions work.
For example -- my wife is an architect, so I'm aware of specific examples here -- there are many architecture firms that have partners whose role consists of bringing in big clients and managing relationships with them. They are never called "sales executives" or "client relationship management specialists." If you meet one at a party, they'll tell you they're an architect.
Apparently it's the same thing with scientific research. When a lab gets big enough, people start to specialize, but they don't get different titles. If you work at an arts nonprofit writing grant applications, they will call you a grant writer, but a scientist is always a scientist or a "researcher" even if all they do is write grant applications.
boxed
And Boeing was like that. Before the merged with McDonald Douglas. Before the MAX disaster. Before the failed Starliner.
marcosdumay
> Imagine if programmers spent 40% of their time writing documents asking for money to write code.
The daily I'm not taking part anymore at work started today at 9:30 as always, and has currently (11:50) people excusing themselves because they have other meetings...
We need a revolution on exposing bad managers and making sure they lose their jobs. For every kind of manager. But that situation isn't very far from normal.
raverbashing
If this was applied in science we'd be still be flying blind with regards to stomach ulcers because a lot of 'researchers' thought bacteria couldn't live in the stomach (it's obviously a BS reason)
Yes, CRM procedures are very good in some cases and I would definitely apply it in healthcare in stuff like procedures, or the issues mentioned, etc.
kens
The higher-level problem is that there are tons of scientific papers with falsified data and very few people who care about this. When falsified data is discovered, journals are very reluctant to retract the papers. A small number of poorly-supported people examine papers and have found a shocking number of problems. (For instance, Elisabeth Bik, who you should follow: @elisabethbik.bsky.social) My opinion is that the rate of falsified data is a big deal; there should be an order of magnitude more people checking papers for accuracy and much more action taken. This is kind of like the replication crisis in psychology but with more active fraud.
nextos
This is why funding replication studies and letting people publish null results and reproductions of important results is fundamental.
It will introduce a strong incentive to be honest. Liars will get caught rather quickly. Right now, it often takes decades to uncover fraud.
mike_hearn
Unfortunately as you spend more time investigating this problem it becomes clear that replication studies aren't the answer. They're a bandage over the bleeding but don't address the root causes, and would have nearly no impact even if funded at a much larger scale. Because this suggestion comes up in every single HN thread about scientific fraud I eventually wrote an essay on why this is the case:
https://blog.plan99.net/replication-studies-cant-fix-science...
(press escape to dismiss the banner). If you're really interested in the topic please read it but here's a brief summary:
• Replication studies don't solve many of the most common types of scientific fraud. Instead, you just end up replicating the fraud itself. This is usually because the methodology is bad, but if you try to fix the methodology to be scientific the original authors just claim you didn't do a genuine replication.
• Many papers can't be replicated by design because the methodology either isn't actually described at all, or doesn't follow logically from the hypothesis. Any attempt would immediately fail after the first five minutes of reading the paper because you wouldn't know what to do. It's not clear what happens to the money if someone gets funded to replicate such a paper. Today it's not a problem because replicators choose which papers to replicate themselves, it's not a systematic requirement.
• The idea implicitly assumes that very few researchers are corrupt thus the replicators are unlikely to also be. This isn't the case because replication failures are often due to field-wide problems, meaning replications will be done by the same insiders who benefit from the status quo and who signed off on the bad papers in the first place. This isn't an issue today because the only people who do replication studies are genuinely interested in whether the claims are true, it's not just a procedural way to get grant monies.
• Many papers aren't worth replicating because they make trivial claims. If you punish non-replication without fixing the other incentive problems, you'll just pour accelerant on the problem of academics making obvious claims (e.g. the average man would like to be more muscular), and that just replaces one trust destroying problem with another.
Replication failure is a symptom not a cause. The cause is systematically bad incentives.
boxed
Incentives are themselves dangerous. We should treat incentives like guns. Instead we apply incentives to all manner of problems and are surprised they backfire and destroy everything.
You have to give people less incentives and more just time to do their basic job.
gadders
>>>• Replication studies don't solve many of the most common types of scientific fraud. Instead, you just end up replicating the fraud itself. This is usually because the methodology is bad, but if you try to fix the methodology to be scientific the original authors just claim you didn't do a genuine replication.
>>>• Many papers can't be replicated by design because the methodology either isn't actually described at all, or doesn't follow logically from the hypothesis. Any attempt would immediately fail after the first five minutes of reading the paper because you wouldn't know what to do. It's not clear what happens to the money if someone gets funded to replicate such a paper. Today it's not a problem because replicators choose which papers to replicate themselves, it's not a systematic requirement.
Isn't this what peer review is for?
insane_dreamer
> • Many papers can't be replicated by design because the methodology either isn't actually described at all, or doesn't follow logically from the hypothesis. Any attempt would immediately fail after the first five minutes of reading the paper because you wouldn't know what to do.
This is indeed a problem. But it can be solved by journals not accepting any paper that is not 1) described in such a way that it can be fully replicated, and 2) include the code and the data used to generate the published results
Just that would go a long way.
And then fund replication studies for consequential papers. Not just because of fraud but because of unintended flaws in studies, which can happen of course.
hwillis
That's a tremendously expensive way to detect fraud. There's funding, but also the people replicating need to have at least near the expertise of the original authors, and the rate of false positives is clearly going to be high. Mistakes on the part of the replicator will look the same as scientific fraud. Maybe most worryingly, the negative impact of human studies would be doubled. More than doubled, probably- look at how many people claimed to successfully replicate LK-99. A paper may need to be replicated many time to identify unknown.
Maybe first we could just try specifically looking for fraud? Like recording data with 3rd parties (ensuring that falsified data will at least be recorded suspiciously), or a body that looks for fabricated data or photoshopped figures?
ZYbCRq22HbJ2y7
> Right now, it often takes decades to uncover fraud.
Where? Many in this thread are talking as if there is monoculture in academia.
ZYbCRq22HbJ2y7
> My opinion is that the rate of falsified data is a big deal
Have anything that backs that up? Other than what you shared here?
I would be very interested in the rate on a per author level, if you have some evidence. Fraud "impact" vs "impact" of article would be interesting as well.
kens
See, for example, a paper mill that churned out 400 papers with potentially fabricated images: https://www.science.org/content/article/single-paper-mill-ap...
Influential microbiologist Didier Raoult had 7 papers retracted in 2024 due to faking the ethics approvals on the research. https://www.science.org/content/article/failure-every-level-...
Fazlul Sarkar, a cancer researcher at Wayne State University, had 40 articles retracted after evidence of falsified data and manipulated and duplicated images. https://www.liebertpub.com/doi/10.1089/genbio.2024.29132.ebi
Overall, Elisabeth Bik has found thousands of studies that appear to have doctored images. https://www.newyorker.com/science/elements/how-a-sharp-eyed-...
someothherguyy
All of those examples have no relative meaning. If there are millions of papers published per year, then 1000 cases over a decade isn't very prevalent (still bad).
ProjectArcturis
There is no reward for finding falsified data. If there were, we'd find a lot more.
jessekv
Are you saying publications need a bug bounty?
ProjectArcturis
Yes! Labs should escrow $10k for a year for each paper they publish. If anyone finds fraud, they get to keep it.
DavidSJ
The article says:
Yet despite decades of research, no treatment has been created that arrests Alzheimer’s cognitive deterioration, let alone reverses it.
Nowhere in the article does it mention that anti-amyloid therapies such as donanemab and lecanemab have so far successfully slowed decline by about 30%. They may not yet be "arresting" (fully stopping) the disease, but it's pretty misleading for the article to completely omit reference to this huge success.
We are currently in the midst of a misguided popular uprising against the amyloid hypothesis. There were several fraudulent studies on amyloid, and those responsible should be handled severely by the scientific community. But these fraudulent studies do not constitute the foundational evidence for the amyloid hypothesis, which remains very solid.
oaktrout
From what I've read, those drugs are very good at removing amyloid, but despite that, they don't seem to make much of a noticeable (clinically meaningful) difference in the people treated with them. I personally would not call that a "huge success".
If they are so good at cleaning up the amyloid, why don't people have more of an improvement? I think everyone agrees amyloid is associated with Alzheimer's, the question is how much of a causative role does it play.
DavidSJ
From what I've read, those drugs are very good at removing amyloid, but despite that, they don't seem to make much of a noticeable (clinically meaningful) difference in the people treated with them. I personally would not call that a "huge success".
After many decades of research, we've gone in the last few years from no ability whatsoever to affect the underlying disease, to 30% slowdown. To be clear, that's a 30% slowdown in clinical, cognitive endpoints. Whether you call that "meaningful" is a bit subjective (I think most patients would consider another couple years of coherent thinking to be meaningful), and it has to be weighed against the costs and risks, and there's certainly much work to be done. But it's a huge start.
If they are so good at cleaning up the amyloid, why don't people have more of an improvement?
No one is expected to improve after neurodegeneration has occurred. The best we hope for is to prevent further damage. Amyloid is an initiating causal agent in the disease process, but the disease process includes other pathologies besides amyloid. So far, the amyloid therapies which very successfully engage their target have not yet been tested in the preclinical phase before the amyloid pathology initiates further, downstream disease processes. This is the most likely reason we've seen only ~30% clinical efficacy so far. I expect much more efficacy in the years to come as amyloid therapies are refined and tested at earlier phases. (I also think other targets are promising therapeutic targets; this isn't an argument against testing them.)
I think everyone agrees amyloid is associated with Alzheimer's, the question is how much of a causative role does it play.
To be clear, the evidence for the amyloid hypothesis is causal. The association between amyloid and Alzheimer's has been known since Alois Alzheimer discovered the disease in 1906. The causal evidence came in the 1990's, which is why the scientific community waited so long to adopt that hypothesis.
YZF
Reading between the lines if we gave people those drugs before they show any symptoms we should be able to do even better. Has this been tested? How safe are those drugs? What should the average person be doing to avoid accumulating amyloids in the first place?
Earw0rm
Would it be fair to say that it's causal in terms of process, but perhaps not in terms of initiation?
That is, there's a feedback loop involved (or, likely, a complex web of feedback processes), and if a drug can effectively suppress one of the steps, it will slow the whole juggernaut down to some extent?
Am reminded a little of the processes that happen during/after TBI - initial injury leads to brain swelling leads to more damage in a vicious cycle. In some patients, suppressing the swelling results in a much better outcome, but in others, the initial injury, visible or not, has done too much damage and initiated a failure cascade in which treating the swelling alone won't make any difference to the end result.
akoboldfrying
>If they are so good at cleaning up the amyloid, why don't people have more of an improvement?
I have zero knowledge in this field, but there's a very plausible explanation that I think is best demonstrated by analogy:
If you shoot a bunch of bullets into a computer, and then remove the bullets, will the computer be good as new?
nradov
Have you seen the price of ammunition lately? I think we'll need a huge NIH grant to run that experiment.
michaelcampbell
Does your computer exhibit any plasticity? After how long are we taking the post-sample?
kraussvonespy
Those quoting the 30% figure may want to research where that figure comes from and what it actually means:
“Derek Lowe has worked on drug discovery for over three decades, including on candidate treatments for Alzheimer’s. He writes Science’s In The Pipeline blog covering the pharmaceutical industry.
“Amyloid is going to be — has to be — a part of the Alzheimer’s story, but it is not, cannot be a simple ‘Amyloid causes Alzheimer’s, stop the amyloid and stop the disease,'” he told Big Think.
“Although the effect of the drug will be described as being about a third, it consists, on average, of a difference of about 3 points on a 144-point combined scale of thinking and daily activities,” Professor Paresh Malhotra, Head of the Division of Neurology at Imperial College London, said of donanemab.
What’s more, lecanemab only improved scores by 0.45 points on an 18-point scale assessing patients’ abilities to think, remember, and perform daily tasks.
“That’s a minimal difference, and people are unlikely to perceive any real alteration in cognitive functioning,” Alberto Espay, a professor of neurology at the University of Cincinnati College of Medicine, told KFF Health News.
At the same time, these potentially invisible benefits come with the risk of visible side effects. Both drugs caused users’ brains to shrink slightly. Moreover, as many as a quarter of participants suffered inflammation and brain bleeds, some severe. Three people in the donanemab trial actually died due to treatment-related side effects.”
https://bigthink.com/health/alzheimers-treatments-lecanemab-...
And here’s a Lowe follow-up on hard data released later:
https://www.science.org/content/blog-post/lilly-s-alzheimer-...
DavidSJ
“Amyloid is going to be — has to be — a part of the Alzheimer’s story, but it is not, cannot be a simple ‘Amyloid causes Alzheimer’s, stop the amyloid and stop the disease,'”
It's not quite that simple, and the amyloid hypothesis doesn't claim it to be. It does, however, claim that it's the upstream cause of the disease, and if you stop it early enough, you stop the disease. But once you're already experiencing symptoms, there are other problem which clearing out the amyloid alone won't stop.
What’s more, lecanemab only improved scores by 0.45 points on an 18-point scale assessing patients’ abilities to think, remember, and perform daily tasks.
As I point out in another comment, the decline (from a baseline of ~3 points worse than a perfect score) during those 18 months is only 1.66 points in the placebo group, It's therefore very misleading to say this is an 18-point scale, so a 0.45 point benefit isn't clinically meaningful. A miracle drug with 100% efficacy would only achieve a 1.66 point slowdown.
kraussvonespy
“But once you're already experiencing symptoms, there are other problem which clearing out the amyloid alone won't stop.”
Ok, maybe we’re just arguing different points here. I’ll grant that amyloids have something to do with all of this. I’m having a more difficult time understanding why one would suggest these drugs to a diagnosed Alzheimer’s patient at a point where it can no longer help.
Or is the long term thought that drugs like these will eventually be used a lot earlier as a prophylactic to those at high risk?
jmward01
And that is the core problem with what happened. There may actually be a grain of truth but now there is a backlash. I'd argue though that the mounds of alternative explanations that weren't followed up on should likely get some priority right now since we know so little about them there is a lot to learn and and we are likely to have a lot of surprises there.
I see this as the same problem with UCT (upper confidence for trees) based algorithms. If you get a few initial random rolls that look positive you end up dumping a lot of wasted resources into that path because the act of looking optimizes the tree of possibilities you are exploring (it was definitely easier to study amyloid lines of research than other ideas because of the efforts put into it). Meanwhile the other possibilities you have been barely exploring slowly become more interesting as you add a few resources to them. Eventually you realize that one of them is actually a lot more promising and ditch the bad rut you were stuck on, but only after a lot of wasted resources. To switch fields, I think something similar happened to alpha-go when it had a game that ended in a draw because it was very confident in a bad move.
Basically, UCT type algorithms prioritize the idea that every roll should optimize the infinite return so it only balances exploration with exploitation. When it comes to research though the value signal is wrong, you need to search the solution space because your goal is not to make every trial find the most effective treatment, it is to eventually find the actual answer and then use that going forward. The trial values did not matter. This means you should balance exploration, exploitation AND surprise. If you do a trial that gives you very different results than you expected then you have shown that you don't know much there and maybe it is worth digging into so even the fact that it may have returned less optimal value than some other path its potential value could be much higher. (Yes I did build this algorithm. Yes it does crush UCT based algorithms. Just use variance as your surprise metric then beat alpha-go.)
People intrinsically understand these two algorithms. In our day to day lives we pretty exclusively optimize exploration and exploitation because we have to put food on the table while still improving, but when we get to school we often take classes that 'surprise' us because we know that the goal at the end is to have gained -some- skill that will help us. Research priorities need to take into account surprise to avoid the UCT rut pitfalls. If they had for the amyloid hypothesis maybe we would have hopped over to other avenues of research faster. 'The last 8 studies showed roughly the same effect, but this other path has varied wildly. Let's look over there a bit more.'
caycep
yeeeess...but when you look at the slope of the decline on the NEJM papers describing the clinical trials of lecanumab and donemumab...are you really slowing the decline?
DavidSJ
To be clear, I think you're asking whether maybe the drugs just provide a temporary "lift" but then the disease continues on the same basic trajectory, just offset a bit?
The studies aren't statistically powered to know for sure, but on lecanemab figure 2, the between-group difference on CDS-SB, ADAS-Cog14, ADCOMS, and ADCS-MCI-ADL (the four cognitive endpoints) widens on each successive visit. Furthermore, while not a true RCT, the lecanemab-control gap also widens up to 3 years in an observational study: https://www.alzforum.org/news/conference-coverage/leqembi-ca...
On donanemab figure 2, there is generally the same pattern although also some tightening towards the end on some endpoints. This could be due to the development of antidrug antibodies, which occurs in 90% of those treated with donanemab; or it could be statistical noise; or it could be due to your hypothesis.
caycep
What kind of soured me on whether to recommend lecanumab in the clinic or not - the effect size and the slope, vs. the risk of hemorrhages/"ARIAS".
I mean, if you're looking at an steady 0.8 pt difference in CRS-SB, but the entire scale is 18 points, yes, it's "statistically significant" w/ good p-values and all, but how much improvement is there really in real life given that effect size?
Plus, if one is really going to hawk something as disease modifying, I'd want to see a clearer plateauing of the downward slow of progression, but it's pretty much parallel to the control group after a while.
There is some chatter in the Parkinson's world - the issue and maybe the main effort isn't so much clearing out the bad stuff (abnormal amyloid clumps/synuclein clumps) in the cells, it's trying to figure out what biological process converts the normal, functioning form of the protein into the abnormal/insoluble/nonfunctional protein.....at least assuming amyloid or synuclein is the root problem to begin with...
getnormality
Downvoters, are you sure you have a rational basis for downvoting this informative post? Do us HNers really know enough to discredit the amyloid hypothesis when 99.9% of us know nothing other than it's gotten some bad press in recent years?
I googled lecanemab and it does have the clinical support claimed. I don't see anyone questioning the data. I'm as surprised as anyone else, even a little suspicious, but I have to accept this as true, at least provisionally.
For anyone who wants to start grappling with the true complexity of this issue, I found a scholarly review [1] from October 2024.
[1] The controversy around anti-amyloid antibodies for treating Alzheimer’s disease. https://pmc.ncbi.nlm.nih.gov/articles/PMC11624191
BobaFloutist
https://www.reddit.com/r/medicine/comments/1057sjo fda_oks_lecanemab_for_alzheimers_disease/
"Lecanemab resulted in infusion-related reactions in 26.4% of the participants and amyloid-related imaging abnormalities *with edema or effusions in 12.6%*."
https://en.wikipedia.org/wiki/Cerebral_edema
"After 18 months of treatment, lecanemab slowed cognitive decline by 27% compared with placebo, as measured by the Clinical Dementia Rating–Sum of Boxes (CDR-SB). This was an absolute difference of 0.45 points (change from baseline, 1.21 for lecanemab vs 1.66 with placebo; P < .001)"
https://www.understandingalzheimersdisease.com/-/media/Files...
Sum of boxes is a 19 point scale. So, for those keeping track at home, this is an incredibly expensive treatment that requires premedication with other drugs to control side affects as well as continuous MRIs for an ~%2.3 absolute reduction in the progression of dementia symptoms compared to placebo, with a 12% risk of cerebral edema.
Now, I'm no neurologist, but I'd call that pretty uninspiring for an FDA-approved treatment.
DavidSJ
"This was an absolute difference of 0.45 points (change from baseline, 1.21 for lecanemab vs 1.66 with placebo; P < .001)"
…
Sum of boxes is a 19 point scale.
It's an 18 point scale, but more to the point: the decline in the placebo group was only 1.66 points over those 18 months, and the mean score at baseline was just over 3 points. So even 100% efficacy could only possibly have slowed decline by 1.66 out of 18 points (what you would call a 9.2% absolute reduction) in the 18 months of that experiment. And full reversal (probably unattainable) would have only slowed decline by about 3 points.
I agree that the side effects of anti-amyloid therapies are a serious concern. The reasons for this are being understood and corrected in the next generation of such therapies. For example, I expect trontinemab to achieve better efficacy with much greater safety, and there is already preliminary evidence of that. Furthermore, there are improved dosing regimens of donanemab which improve side effects significantly.
Note that my claim is not that the existing drugs are stellar, and certainly not that they're panaceas. Simply that the amyloid hypothesis is true and there has been tremendous progress based on that hypothesis as of late.
ProjectArcturis
You have to understand that CDR-SB is a very sensitive measurement. Yes, it's an 18-point scale, but from 4.5 to 18 it's just measuring how bad the dementia has gotten. The vast, vast majority of healthy people will score 0. Going from 0 to 0.5 is a massive difference in cognitive ability.
oaktrout
To emphasize your point, I don't think anyone will notice if someone's alzheimers is 2.3% better.
These rating scales like CDR-SB (invented by drug companies or researchers who are funded by drug companies) are very good at making the tiniest improvement sound significant.
null
Calavar
> Downvoters, are you sure you have a rational basis for downvoting this informative post?
Citing relative improvement (30%) instead of absolute improvement (2%) and not explicitly designating it as such.
DavidSJ
“Slowed decline by 30%” is explicitly designating it as such.
isolli
I did not downvote, but OP failed to provide a link to back up his claim, or to make explicit what "slowing decline by about 30%" even means.
In light of the fraudulent and scandalous approval of aducanumab [0] (which also targeted amyloid), such claims must be thoroughly referenced.
kraussvonespy
If it helps, here’s info from Dr. Derek Lowe, a 30+ year pharma chemist and author of In The Pipeline. For further research on the topic, he has many other posts on the topic, some of which are linked in the links below.
https://www.science.org/content/blog-post/aduhelm-again
https://www.science.org/content/blog-post/goodbye-aduhelm
https://www.science.org/content/blog-post/alzheimer-s-and-in...
mhb
How do you know what the downvote status is?
msandford
There is anecdotal evidence and perhaps even some small studies showing that a keto diet can halt and even reverse Alzheimer's symptoms.
Compared to that, reducing the speed of decline isn't terribly impressive. It's better than nothing to be sure! But what people want is BIG progress, and understandably so. Billions have been spent.
DavidSJ
Billions have been spent because it's a challenging disease to understand and treat. I want big progress too. But we shouldn't let our desire for big progress cause us to lose our ability to objectively evaluate evidence.
I have no opposition to a properly controlled randomized controlled trial of the keto diet, or other proposed therapies (many of which have been conducted, and are for targets other than amyloid which are completely compatible with the amyloid hypothesis). Until a proper RCT of keto is conducted, anecdotal claims are worth very little compared to the evidence I referred to.
msandford
I'm far, far more interested in anecdotes about completely halting or reversing decline than I am in rock solid data about a 30% reduction in decline speed.
Antibiotics started out as an anecdote about something whose effect was so stark it couldn't be missed. Chasing promising anecdotes is far more valuable (in my opinion) than attempting to take a 30% effect to a 100% effect.
Others are free to feel differently of course. I'm open to hearing about 100 different times that finding a tiny effect that got grown and magnified into a huge effect that totally changed medicine. I'm just not aware of many at this point.
stefantalpalaru
[dead]
chillpenguin
There are also studies showing a plant-based diet can reverse Alzheimer's symptoms as well. It has to do with atherosclerosis.
DavidSJ
Can you provide a source for this?
I'm not aware of any RCT showing long-term improvement of Alzheimer's symptoms from any treatment. I am aware of 1) long-term slowing of worsening (not improvement) from anti-amyloid therapy, 2) short-term benefits but no change in long-term trajectory from other therapies, and 3) sensational claims without an RCT behind them.
nextos
Sadly this stems from a structural problem in biology and medicine, and is far from exclusive to the field of Alzheimer's. Some reforms are urgent, otherwise progress is going to be incredibly slow. The same pattern is repeated again and again. Someone publishes something that looks novel, but is either an exaggeration or a downright lie.
This person begins to attract funding, grant reviews and article reviews. Funding is used to expand beyond reasonable size and co-author as many articles as possible. Reviews mean this person now has the power to block funding and/or publication of competing hypotheses. The wheel spins faster and faster. And then, we know what the outcome is.
The solution is to make sure reviews are truly independent plus limitations on funding, group size and competing interests. I think that tenured researchers that receive public funding should have no stock options nor receive "consulting" fees from private companies. If they want to collaborate with industry, that's absolutely fine, but it should be done pro bono.
Furthermore, if you are a professor who publishes 2 articles per week and is simultaneously "supervising" 15 postdocs and 20 PhD students at 2 different institutions then, except in very few cases, you are no longer a professor but a rent seeker that has no clue what is going on. You just have a very well oiled machine to stamp your name into as many articles as possible.
SubiculumCode
I'm not a fan of many of the practices you complain about here, but I will say this: We get paid too little for what we do for way too long....6 years of grad school (24k/yr) 6 year post-doc (42k/yr) in California, when I was in those positions anyway. Today, at UC Davis, assistant professors in the UC system start at $90,700 [1, for salary scale], which is often around 12 years after their undergraduate degree. That's in California, where a mortgage costs you $3,000 a month, minimum.
[1] https://aadocs.ucdavis.edu/policies/step-plus/salary-scales/...
nradov
Why do employees keep voluntarily accepting that type of abuse? Low wages aren't a secret and the employees doing that work aren't idiots so they must know what they're getting into. Are they doing it out of some sort of moral duty, or as immigrants seeking permanent resident status, or is there some other reason? Presumably if people stopped accepting those wages then the wages would have to rise.
UniverseHacker
Those numbers aren’t accurate anymore they’re out of date and now much higher. Also, I voluntarily pay my students and postdocs 2-3x those numbers currently.
But ultimately (1) those are seen as training positions that lead to a tenured faculty position, which pays fairly well, and has a lot of job security and freedom; (2) certain granting agencies limit what you can spend on students and postdocs, to levels that are too low for HCOL areas.
caycep
A lot of this is defined by the NIH, K23/R01 grant amounts specify what kind of salary they support and are kind of defined by the powers that be...
UC system def has more overhead than usual, and there may be some cost-of-living adjustments but...
Hence why a lot of us went into private practice...
dgfitz
You keep bringing up one state in the union as if the whole system is flawed because of this one state.
jdeibele
Picking a state that's not California nor New York, Massachusetts, etc.: https://www.indeed.com/career/assistant-professor/salaries/A...
Says $60,000 for University of Arkansas or 2/3rd of what was listed for California.
I'm not an academic nor do I live in California (or Arkansas) but $90,000/year after 6 years working below minimum wage and 6 years barely above doesn't sound that great in <economic terms>. Hopefully people are getting benefits from teaching or research.
lmm
That one state is where the apex of the system is. It's where a lot of, maybe most, research happens, it's where perhaps most tech development happens, it's even where a lot of our popular culture is determined. It's where ~everyone is aiming for, even if only a fraction of them will make it there, so it affects the whole system.
SubiculumCode
I was contextualizing my response because cost of living is higher in California, and some of those numbers may seem more reasonable if it were in Arkansas, for example.
echelon
Instead of amyloid and tau, we now have a bunch of promising new leads:
- insulin and liver dysregulation impacting the brain downstream via metabolic dysfunction
- herpesviruses crossing the blood brain barrier, eg after light head injury or traveling the nervous system
- gut microbiota imbalance causing immune, metabolic, or other dysregulation
- etc.
These same ideas are also plausible for MS, ADHD, etc.
apsec112
curious if you could link to relevant papers? Thanks!
GioM
There’s a good discussion in the previous article discussed on HN, including links to various papers.
UniverseHacker
The NIH already has total funding limits for grant eligibility, and the issue of competitors blocking your publications is pretty much eliminated by asking them to be excluded as reviewers, because we almost always already know who is going to do that. A competent editor will also see right through that.
I did my postdoc in a very well funded lab that was larger than even your examples- and they legitimately could do big projects nobody else could do, plus postdocs and grad students had a lot more autonomy, which helped them become better scientists. The PI worked at a distant/high level, but he was a good scientist and a skilled leader doing honest and valuable research, and had economies of scale that let him do more with the same research dollars. It was the least toxic and most creative and productive lab I’ve ever seen. Banning that type of lab would be to the massive detriment of scientific progress in my opinion.
I also disagree about banning consulting and startups for PIs- that is arguably where research ends up having the highest impact, because it gets translated to real world use. It also allows scientists to survive in HCOL areas with much less government funding. Frankly, I could make 4x the salary in industry, and if I were banned from even consulting on the side it would be much harder to justify staying an academic while raising a family in a HCOL area.
I am also very upset about academic fraud and have seen it first hand- but I think your proposed solutions would be harmful and ineffective. I’m not sure what the solution is, but usually students, postdocs, and technicians know if their PI is a fraud and would report if it were safe for them to do so, but they don’t have enough power to do so. Fixing that would likely solve this. Even for a junior PI, reporting on a more senior colleague would usually be career ending for them, but not who they are reporting on.
ramraj07
I agree with you that OPs ideas don't work. But I don't agree with you either. Let me point to a far more fundamental problem which is that even your well meaning lab is still a ponzi scheme that survives only because it gets cheap labor in the name of more trainees when there's no evidence that the academic system can handle MORE people. Even if we have the funding, the peer review systems we are dependent on are clearly becoming less effective just because of pure volume and breadth.
I have other issues with the system but in the end this is the most important problem I see to be solved first.
UniverseHacker
We're talking here specifically about how to solve the problem of academic fraud- not how to solve the problem of treating trainees more fairly. That's an important problem also, but not what my comments were addressing. Still, I'll share my thoughts on that also.
In my lab I voluntarily pay competitive industry level salaries- I pay solid 6 figures to postdocs, usually about 2x what other labs pay. I often pay my trainees more than I make myself, and I often only hire one person on a grant that most people would fund a whole lab on.
It's a gamble, but it seems I get more skilled people that stay longer, and can actually afford to live, which works better than having a few more people that are all super stressed and looking for a better job. So far, it's payed off for me, and I would recommend it to other academics.
Second, very few of my postdocs and grad students actually want low paying academic jobs. Most want to join the biotech startup scene, where they'll make a lot more than what they'd make as an academic, and the demand for people with their skills far exceeds the supply. I am giving them the training they need to actually get those jobs, and succeed at them while paying very well in the process. I talk with them about what they actually want- and I make sure it happens for them to the best of my abilities.
When I was a grad student/postdoc, I really wanted to become a PI, and was worried it was a ponzi scheme because so few people ended up doing so. But when I was actually a postdoc, I realized most of my fellow postdocs were highly competitive for faculty positions, but still choosing not to do them by choice. Many were even receiving academic offers and turning them down for industry offers with much higher salaries. I was even co-recruited to a tenure track position, along with a respected colleague I was really hoping to work together with for decades- his co-acceptance of the offers was a big reason I chose this institution. About a week into his academic job, he got an 'offer you cannot refuse' from a startup and left on the spot.
But overall, my situation is someone unusual- mostly because my field is currently in extremely high industry demand. There are indeed a lot of grad students and postdocs making pennies, and with no real job prospects beyond a tiny shot at a faculty job.
caycep
at this moment, what NIH? No study sections for grants since the inauguration...
caycep
devil's advocate - is that not the very definition of scaling?
stefantalpalaru
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fsckboy
[flagged]
okintheory
It's nice to live in a world where actions have consequences. When the media coverage got too much, Marc Tessier-Lavigne finally had to resign as president of Stanford, so he could focus on his job as a Stanford professor.
jbullock35
I can't tell whether your post is a joke. Yes, Tessier-Lavigne was forced to resign. But Stanford let him stay on as a professor. That was terrible: they should have kicked him out of the university.
tyre
They are joking.
okintheory
I also can't tell whether Stanford is joking, but the notion that he's a good fit for the job of biology professor is definitely funny!
rossdavidh
I'm no expert, but I suspect it is a longer process to remove someone from a tenured professor position, than to remove them as President. We don't know that they won't eventually happen.
shermantanktop
There are betrayals so severe that a grindingly slow due process is actually itself an addition betrayal. Not arguing for a kangaroo court, but tenure should not be a defense for blatant cheating.
pjdesno
Like most HN readers I'm in computer science, but I do academic research so I review papers - not a lot, but probably 20-25 a year, sometimes more.
I get paid nothing to do this - it's considered "service", i.e. it's rude to submit a lot of papers and not review any in turn. (it turns out there are a lot of rude people out there) In general no one in academic publishing gets paid anything, although an "area editor" who tries to convince people like me to review papers might get paid a bit if they work at a lower-quality for-profit journal. (other fields have high-quality for-profit journals, but not CS)
Some of the papers I review may be fraudulent. I have no way of figuring this out, it's not my job, and I don't have access to the information I'd need to determine whether they are.
The use of images in certain life sciences papers has made it much easier to detect a certain class of fraud, although even these checks would be difficult for an individual reviewer to perform. (the checks could be integrated with the plagiarism checker typically run on submissions before they are reviewed, and I think some journals are starting to do this)
In CS it would be much more difficult to detect fraud, because there's no equivalent to the standard and easily-compared western blot and photomicrograph images in life sciences papers. However I'll note that a lot of CS venues are starting to have an "artifact evaluation" phase, where authors of accepted papers submit their software and a team of students try to get it to work themselves. It's not mandatory, but most authors try for it - the main purpose is to encourage reproducible science, but it also creates an environment where fraud is more difficult.
(I'm only aware of conferences which have artifact evaluation - none of the journals I know have tried this)
implmntatio
thank you for your service.
> no one in academic publishing gets paid anything
How come none of those crypto and or VC bros are closing in on this issue? Better and more peer-reviewed research means more areas to raise economically viable ideas in and so the gravitational pull would get stronger in coming generations.
And those chain-guys talk a lot about trust, verification, decentralization, (proof of work) and so on ...
It's a "boring niche" that needs some ruckus, if you ask me.
FollowingTheDao
The amyloid hypothesis, as described to me by someone working in the field, is not only wrong, but it is harmful to the patients. His research is studying that it is more probable that the plaques are actually protective and do not cause the memory loss and other disease symptoms directly. This idea was pushed aside and ridiculed for years all because of the greed and lies by people like Eliezer Masliah.
https://pmc.ncbi.nlm.nih.gov/articles/PMC2907530/
https://journals.sagepub.com/doi/abs/10.3233/JAD-2009-1151
https://www.utmb.edu/mdnews/podcast/episode/alzheimer's---co...
aardvark92
Yes! This plays into my favorite pet theory - that herpesviruses (and/or other microbes) are the cause of Alzheimers:
https://pmc.ncbi.nlm.nih.gov/articles/PMC5457904/pdf/nihms85...
ZYbCRq22HbJ2y7
Now journalists dunk with science publication fraud, claiming its wider than it could possibly be! It will certainly get engagement!
More burn the bridges science journalism; "the worst that can happen is somehow the common place"; erode trust in institutions more, so and on so on so forth.
We are currently plummeting into nihilism, see you at the bottom, hope the clicks were worth it.
throwawaymaths
What is the incentive to call out a competitor on their lies?
If you want to be truly cynical, it's to your benefit to NOT call them out; then other-competitors might spin their wheels following the negative results of your competitor when you're not wasting your time chasing the fiction.
airstrike
That applies if one were maximizing for patient outcomes, but not if maximizing for grants
https://archive.is/URjfk