I was 22 when my grandmother forgot me.

It took twelve long years for Alzheimer’s to claim her. It began with small lapses—where her glasses lay, what day it was—before she stopped recognizing me. For a time she spoke to me as if I were her son, but as the disease gnawed away more of her memory, even that faded. Soon I became the young, dashing image of her late husband, until he vanished too. Eventually I was simply a pleasant young man who visited her.

Most days she lived in fear: waking to an alien world, surrounded by strangers, confused that she wasn’t back in Minnesota where she grew up. It struck my mother most profoundly. She poured herself into caring for her own mother, watching the wonderful woman she knew dissolve into a mere shadow of her former self.

My grandmother died on Christmas Eve. It was heartbreaking, yet a blessing for my mother, who was finally released from the duty of watching the person she loved waste away.

The Alzheimer’s Researcher Who Became a Poster Child for Academic Fraud

Sylvain Lesné, a neuroscientist at the University of Minnesota, published a 2006 paper in Nature claiming that a particular assembly of the amyloid beta protein directly caused memory decline in Alzheimer’s. The claim reinvigorated the amyloid hypothesis at a moment when skepticism was growing. The NIH funneled about $1.6 billion into amyloid-related projects in 2022 alone, nearly half of all federal funding for Alzheimer’s that year. Lesné rose to prominence.

Yet murmurs persisted. Dozens of amyloid-targeting drugs reached trials, backed by vast industry funds, and repeatedly failed. A question circulated among drug developers: if the theory is right, why do the trials keep collapsing?

In 2022, Vanderbilt neuroscientist Matthew Schrag uncovered evidence that images in Lesné’s paper had been altered. Science later reported more than 20 papers by Lesné with questionable images, totaling over 70 potential instances of tampering. Nature retracted the key article in June 2024. All authors except Lesné agreed to the retraction. Lesné himself resigned from his tenured role at Minnesota on March 1, 2025, three years after the fraud came to light.

Further details trickled out over time. Charles Piller’s 2025 book Doctored chronicles the so-called Amyloid Mafia—a network that prioritized novelty over replication and sidelined dissent for decades. Anyone who questioned the amyloid gospel was pushed aside and saw funding dry up.

When I first read that Science article, the idea of widespread academic fraud hadn’t crossed my mind. The more I thought about it, the more I felt a bitter anger: because of his vanity, greed, and need for acclaim, this man had doomed millions of people like my grandmother to drawn-out, horrifying illnesses and burdened millions more like my mother with years of painful caregiving.

Lesné stepped down, but his wealth stayed intact. None of the grant money was clawed back. The mechanisms meant to catch such misconduct—peer review, university oversight, journal boards—failed repeatedly for years.

How Much Academic Literature Is Made Up?

Lesné was not an isolated offender. The corruption within scientific research runs deep and system-wide. Daniele Fanelli’s 2009 meta-analysis of surveys in PLOS One showed that about 2 percent of scientists admitted to fabricating or falsifying data, while 14 percent reported witnessing it in colleagues. These self-reports are a floor, not a ceiling.

J.B. Carlisle’s 2021 paper, “False individual patient data and zombie randomized trials submitted to Anaesthesia,” found that of 153 trials with patient-level data, 44 percent contained untrustworthy data and 26 percent were “zombie” trials driven entirely by bogus data. A 2025 study in PNAS suggested that the number of fraudulent publications is doubling roughly every 1.5 years, while legitimate papers grow only every 15 years.

At least 400,000 papers published between 2000 and 2022 bore signs of originating from paper mills. Former BMJ editor Richard Smith asked, “Is it time to assume health research is fraudulent until proven otherwise?” A sharp 2015 Lancet comment by Richard Horton put it plainly: “Much of the scientific literature, perhaps half, may simply be untrue.”

The Peer Review System Is Susceptible to Scientific Fraud

Mancur Olson’s The Logic of Collective Action explains why systems that everyone knows are broken persist. When the benefits of cheating concentrate in a small circle while the costs are dispersed across a broad population, the dishonest flourish and the affected go unheard.

Lesné snared millions in grants, tenure, prestige, and invitations to conferences. Yet the countless Alzheimer’s patients and their families, the squandered taxpayer money, and the honest researchers who could have won those dollars instead—everyone paid a price for those gains. No single person was publicly held to account, but the harm was real.

Academia also grapples with second-order Olson problems. Peer reviewers are unpaid volunteers with little incentive to expose fraud, and risk major social backlash for making accusations. University leaders have strong motives to shield faculty who secure funding. The Minnesota investigation dragged on for about two and a half years and yielded only one resignation: Lesné’s. There were no legal penalties, no return of funds.

The peer review process itself helps enable this misconduct. Economist Bruce Yandle described it as a “Bootleggers and Baptists” dynamic: a faction with firm moral standards ends up collaborating with others who want to exploit it financially. Self-righteous gatekeepers claim peer review safeguards integrity, while, in practice, the publishing empire profits massively by charging access to government-funded research. Paper mills have grown into a shadow market valued—by one conservative estimate cited by Nature—in the hundreds of millions annually, taking advantage of researchers desperate to publish and of sociopaths willing to buy authorship with a credit card.

In short, an entire extractive industry profits from universities’ access to their own faculty’s work, while failing at the one job that matters: upholding scientific integrity.

The system actively rewards corruption. The aims of individual scientists—publication and grant acquisition—are structurally misaligned with the overarching goal of science itself: the pursuit of truth. The FDA Amendments Act of 2007 compelled public posting of clinical trial results on ClinicalTrials.gov, yet a 2015 New England Journal of Medicine analysis showed only 13.4 percent compliance with the 12-month reporting window. The government had the authority to fine violators up to $10,000 per day; estimates suggested it could have collected $25 billion, according to a 2015 STAT investigation. But authorities gathered basically nothing, because regulators are reluctant to challenge powerful interests they regulate.

When established gatekeepers fail, the answer is not more gatekeeping by compromised watchdogs. It is radical transparency and unfettered exchange of information.

Science should be a free market of ideas, yet today it operates like a cartel. NIH funding represents centralized, top-down steering of science. A small group allocates billions, yet it lacks the capacity to know which directions hold the most promise.

The good news is that information tends to be inherently democratizing.

AI Can Empower Independent Scientists To Fight Academic Corruption

The dominance of professionalization and credentialism limited independent inquiry in the previous century. But the early scientists—Charles Darwin as an amateur naturalist, Benjamin Franklin a printer by trade, Michael Faraday a bookbinder—demonstrated that curiosity and hands-on investigation can thrive outside formal hierarchies. I believe the world is ready and eager for a new wave of citizen scientists, autonomous researchers, and inquisitive minds who sift through mountains of data, challenge deceitful journals, and replicate bold claims in the name of truth.

The bottleneck for independent work isn’t intellect or drive; it’s the labor required to access, read, cross-check, and synthesize massive bodies of literature. The advent of incredibly capable AI has slashed that cost by orders of magnitude. A motivated researcher with a ChatGPT Pro subscription can accomplish in an hour what once demanded months, a research team, and campus library access.

The remaining hurdles are rigor, data access, and the ability to run experiments. This is where open infrastructure comes into play, and that is what I’m helping to build today.

An acquaintance on X once claimed that no one translates Chinese research preprints into English. I dismissed the thought as improbable, then checked—and found it to be true. Thousands of Chinese preprints sat untranslated, awaiting a bridge. Seizing the opportunity, I began pursuing the low-hanging fruit.

ChinaRxiv.org now hosts 26,000 high-quality translated preprints, with a goal of ensuring that researchers committed to integrity have access to everything they need to do their best work. If artificial superintelligence arrives soon, it probably won’t care which language the information is in—and as we train larger, stronger models, ensuring datasets are easily accessible becomes a significant win.

This work led to another opportunity: pre-1980s Soviet-era Russian scientific literature, a vast corpus of papers never translated into English. Through social media discussions, I connected with like-minded researchers and with the Research Revival Fund, supported by the Analogue Group. Together, we are preparing to translate broad swaths of previously untranslated Soviet scholarly works.

There are entire traditions in materials science, theoretical physics, mathematics, and biology that were conducted in Russian but never entered the English-speaking scientific conversation. They still sit there, untranslated, waiting to be discovered and shared with the world.

The Real Victims of Corrupt Science, Slow Research, and Constrained Information

The people harmed by corrupt science and closed information rarely realize the damage. A child dies because a cure was delayed by a few years and never knows the pain she caused. A researcher misses out on funding for an original idea because the cartel favors its own allies over new perspectives and fraudulent charts. Faced with that disappointment, we have a choice: keep trusting failed institutions mired in perverse incentives, or build a parallel realm where information flows freely. Let open information and free markets outpace centrally planned science and let the best work endure.

Real lives are altered and sometimes lost when science moves slowly, when it becomes corrupt, or when information is restricted. Remove the barriers to knowledge and enable individuals to act on dispersed insights, and you’ll witness outcomes that no central planner could ever imagine.