The Hidden World of Stanford: A Class That Teaches You to "Rule the World"

Stanford University has long projected an image of palm trees, flip-flops, and genius engineers — a utopia where "rebellious outsiders create for the sake of creation." But in this episode of Vox's podcast The Gray Area, Theo Baker — a Stanford student journalist who became the youngest-ever George Polk Award winner at 18 — peels back the carefully marketed myth to reveal another face entirely. His new book, How to Rule the World, is not speaking in metaphors. Stanford actually runs a secret course by that name, admitting only 12 students per year, unlisted in any course catalog, teaching students "how to extract value from the people around you."

Genius as Raw Material: Stanford's "Talent Mining" Machine

Baker recalls arriving on campus full of idealism, only to find himself two months later at a mansion party in the hills — funded by a slush fund that channeled corporate money directly into teenagers' pockets. He gradually came to understand that this university is "obsessed with youth." Incoming freshmen at 17 or 18 are seen as "fresh, uncontaminated products" to be "mined and exploited as early as possible." What's being mined is talent — the earlier you hitch a ride on the next Google or Instagram, the more successful the opportunist's career becomes.

This logic gave rise to so-called "pre-idea funding." Venture capitalists hand an 18-year-old freshman a single-page SAFE agreement and hundreds of thousands — sometimes millions — of dollars, saying: "If you build a company with this money, come back to us and we'll invest more." To the VC, it's pocket change. To the freshman, it's an astronomical sum. More critically, these students are encouraged to make "very, very big promises," while repeatedly being signaled that no one will seriously hold them accountable — that even deception won't be punished.

A SAFE (Simple Agreement for Future Equity) is an early-stage financing instrument designed and popularized by Y Combinator around 2013, originally intended to streamline angel-round fundraising. Unlike traditional convertible notes, SAFEs carry no interest or maturity date — investors exchange a one-page document for the right to convert into equity at a future funding round. For VCs, issuing SAFEs to 18-year-old freshmen is extremely low-cost: if the company fails, only a negligible exploratory sum is lost; if it succeeds, they've locked in early equity at a minimal valuation. The hidden risk for signatories — the students — is that they incur legal obligations for a company that doesn't yet exist, while most incoming undergraduates have virtually no understanding of dilution mechanics, trigger clauses, or disclosure requirements. The culture Baker describes — encouraging exaggerated promises while tolerating deception — forms a systemic collusion with SAFE's inherently permissive structure.

"Stanford Within Stanford"

Getting into Stanford at 18 already means passing through America's narrowest gate. But Baker argues that the true inner sanctum is a "Stanford within Stanford" — a closed circle maintaining what he calls an "unbounded relationship" with Silicon Valley. Companies with offices on campus alone have a combined market cap exceeding $6 trillion. The university even runs its own venture fund, backing student startups, which then hire more Stanford students and return profits to the school — a perfectly self-contained feedback loop.

There are two paths into this circle. The first is to be tapped on the shoulder by a "talent scout" — VCs hire upperclassmen to identify the most promising freshmen the moment they arrive on campus. The second is to find a "high-signal" entry point, such as the campus hackathon TreeHacks. On the surface it's just students building tech toys over a weekend; in reality it's backed by hundreds of thousands of dollars in corporate sponsorship, with VCs repeatedly taking entire teams out to dinner and dangling funding promises. Baker puts it bluntly: getting into this inner circle "has almost nothing to do with your technical ability." The real threshold is "who you know, and how you convert that into a ticket into this closed world."

"How to Rule the World": A Philosophy Where Ends Justify Means

The course is taught by a Silicon Valley CEO who gives himself the title of "professor." Its core tenets: "extract value from others" and "push your ambitions beyond anything you can imagine." Baker interviewed a woman who had been genuinely idealistic when she arrived at Stanford. She told him she "learned how to play the game" — including how to lie to VCs to raise money. She ultimately raised millions, dropped out of Stanford (despite having already been caught cheating in a computer science course), then released a polished product launch video for technology that didn't exist. She told Baker: "My parents say they don't recognize me anymore. My values completely changed at Stanford."

Baker insists this isn't a few bad apples — it's the inevitable product of incentive structures. He cites a colleague's reaction to the chaos surrounding teenagers wielding hundreds of thousands of dollars with zero oversight during TreeHacks. Her verdict: "It's just a little bit of fraud." This casual acceptance of "minor fraud" has been institutionally internalized. Baker pointedly notes that Elizabeth Holmes and Hewlett and Packard are all products of Stanford — and on the very day he announced the book, fellow Stanford alumnus Do Kwon was sentenced to 15 years for a $40 billion crypto fraud. "These are not coincidences."

Elizabeth Holmes is one of Stanford's most notorious dropout-entrepreneurs. She founded blood-testing company Theranos in 2003, claiming a few drops of fingertip blood could run hundreds of medical tests, reaching a peak valuation of $9 billion. A 2015 investigation by Wall Street Journal reporter John Carreyrou revealed the core technology was completely nonviable, and the company had long been using conventional equipment while pretending otherwise. Holmes was convicted of fraud in 2022 and sentenced to 11 years. Do Kwon graduated from Stanford's computer science program in 2015; his Terra/Luna crypto ecosystem collapsed in 2022, wiping out approximately $40 billion and devastating hundreds of thousands of retail investors. He was sentenced to 15 years in 2024. Baker juxtaposes both figures with Stanford's incentive culture to argue that the system that produces unicorns also produces systemic fraud — by encouraging students to expand their ambitions at any cost while teaching them that accountability for promises is optional.

The President's Scandal: Protecting the Perfect Image Over Scientific Truth

The book's central thread is Baker's investigation into then-President Marc Tessier-Lavigne. His résumé seemed flawless: first in his family to attend university, Rhodes Scholar, pioneer of a new field in neuroscience, biotech millionaire. But Baker discovered that multiple labs under his supervision had engaged in data falsification — most notably a 2009 paper that claimed to identify the cause of Alzheimer's disease, hailed by Genentech as "the greatest discovery in 20 years." According to seven sources Baker interviewed, an internal company review found that the paper's core data had been fabricated; Tessier-Lavigne was advised to retract it but refused, and the retraction only came a decade later after Baker's reporting forced the issue.

Significantly, Baker says he found no evidence that the president personally manipulated data. What ultimately led to his unanimous dismissal by the board was his posture of "deny, deny, deny," along with the aggressively worded threatening letters sent by his lawyers — behavior that "damaged the school's image." A board member's words: "We can't claim to be the nation's top research institution while tolerating this." In other words, protecting the "perfect image" mattered more than scientific truth.

The ending carries its own irony: four days after resigning, Tessier-Lavigne purchased a home worth over $10 million in one of the most expensive zip codes in America. Eight months later, he announced he was raising $1 billion for a new AI biotech company — led by VCs Baker knew well. Silicon Valley's self-replication mechanism runs on.

The academic misconduct investigation into Marc Tessier-Lavigne focused on multiple neuroscience papers from his time at Columbia University and Genentech (1990s–2000s), with central disputes over the splicing and manipulation of Western blot gel images and the authenticity of key experimental data supporting his Alzheimer's disease mechanism claims. The growing use of image integrity analysis tools — such as methods employed by researchers like Elisabeth Bik — has made it increasingly difficult to conceal historical data manipulation. The broader context: retractions in the natural sciences have surged in the 2020s, with biomedical research accounting for the highest share, exposing systemic blind spots in peer review when it comes to detecting data fabrication. What makes the Tessier-Lavigne case distinctive is that the earliest warning signals came from an internal corporate review rather than external academic scrutiny — and the institution chose suppression over correction until an outside journalist intervened. That chain of events is itself a microcosm of Baker's central argument: maintaining a perfect image takes priority over any meaningful accountability.

Duck Syndrome and the Students Who Are Sacrificed

Another devastating segment of the interview concerns "duck syndrome": students gliding gracefully across the water's surface, projecting effortless achievement, while furiously paddling beneath just to stay afloat. Baker recounts the tragedy of Katie Meyer, captain of the women's soccer team — a near-perfect student who didn't drink or smoke and was headed to law school. A few months before graduation, on a Friday night, she received notice that her degree was being withheld over a dispute from six months earlier. All student support resources were closed for the weekend. She took her own life that night. Twelve schools held memorials. Stanford was not among them. The women's soccer team she once captained hosted a mental health awareness night without mentioning her name.

This connects directly to what a computer science professor observed: "We oversell the good and never talk about the bad." This obsession with perfection inflicts deep and lasting damage — on students' mental health, on research integrity, on the institution as a whole.

The term "duck syndrome" first appeared in internal discussions at Stanford's mental health services and has since been widely cited to describe a psychological phenomenon particular to elite campuses: students project an image of composure and effortless success in social settings while privately enduring extreme anxiety, sleep deprivation, and self-doubt. The phenomenon is especially pronounced at Stanford, where the cultural pressure to "be building something, be succeeding at something" at all times means that admitting struggle is seen as weakness, and seeking help risks damaging one's "investability" in the eyes of investors or peers. Successive surveys by the American College Health Association have found that Stanford students' rates of reported anxiety and depression are significantly higher than their willingness to disclose them — a gap that is itself a manifestation of duck syndrome. Following Katie Meyer's death, California passed the Katie Meyer Game Changer Law (Katie's Law) in 2023, requiring universities to provide mental health support before initiating disciplinary proceedings against students — a direct legislative response to a phenomenon that had long existed only as campus narrative.

Stanford's Dilemma in the AI Bubble

Baker argues that Stanford has "chained itself to computer science" — building 70 new structures between 2000 and 2015 almost entirely on the back of its unbounded relationship with Silicon Valley. Now AI threatens the entry-level positions that Stanford graduates have traditionally occupied. Meanwhile, the resources required to train frontier models have grown beyond what universities can sustain, and talent is being absorbed directly into private industry at scale.

A phrase popular in Stanford's inner circle: "Raising money is easier than finding an internship." Baker calls this an "AI game of musical chairs" — everyone waiting to see who's left holding the bomb when the music stops. He says plainly: "This is a massive bubble." Many affiliated companies with no proprietary technology and no revenue are destined to collapse. He reminds us that Silicon Valley's power is actually very young and deeply immature — it has not yet developed the transparency and accountability guardrails that mature institutions typically possess.

When it comes to the next generation of tech leaders, Baker's outlook is cautious and pessimistic. He hopes this book will illuminate how these future leaders are being shaped — "because when we teach kids to climb at any cost, tell them there's free money everywhere, and that they can extract value for themselves however they want, things only get worse, not better."