In a recent LinkedIn post, Sahil Bloom explores a fascinating Stanford experiment that highlights the power of unconventional thinking and identifying high-leverage assets. Bloom uses the exercise, originally conducted by Stanford professor Tina Seelig, to illustrate how moving beyond initial constraints can lead to dramatically different outcomes.
The Stanford Experiment: A Case Study in Rethinking Value
The experiment tasked students with generating the highest possible return on investment within two hours, starting with just $5. Bloom recounts how most groups engaged in traditional trading, making modest profits. A slightly more innovative set found ways to monetize services, earning more substantial amounts. However, the winning group, as detailed by Bloom, identified a completely different, overlooked asset: their presentation slot.
“The winning group saw what everyone else missed. They realized the real asset wasn’t the $5. It wasn’t even the 2 hours. It was their presentation slot in front of Stanford’s best and brightest. So they sold it as ad space to a company recruiting Stanford talent. For $650. That’s a 130x return.”
This stark contrast, Sahil Bloom argues, underscores a critical difference between average and extraordinary performance: the ability to question assumptions and reframe the problem.
Deconstructing the ‘Socratic Method’ for Business Challenges
Bloom breaks down the winning strategy into key components, drawing parallels to what he terms the “Socratic Method” for problem-solving. He emphasizes the importance of avoiding initial distractions and anchor points.
Avoiding the Distraction
The $5, Bloom points out, served as a cognitive trap. “Everyone anchored on it because it was positioned as ‘the asset.’ But it was just noise,” he writes. This illustrates a common pitfall where individuals become fixated on the most apparent, often limiting, parameters of a challenge. Bloom advises pausing to ask, “What’s the real game here?” when faced with high stakes and potential for massive rewards.
Asking Foundational Questions
Further elaborating on this approach, Sahil Bloom stresses the need to delve into foundational questions. These include understanding the core problem being solved, challenging underlying assumptions, and exploring alternative paths when the obvious one is blocked. The Stanford winners, according to Bloom, effectively asked, “What assets do we really have?” recognizing that the $5 was negligible and the 2 hours insufficient, but access to talented students was invaluable.
Identifying the Highest Leverage Point
Once a clearer understanding of the true assets and problems is achieved, Bloom explains, the highest leverage point becomes apparent. The winning group didn’t necessarily work harder; they identified the most impactful element within the system. “Time in front of future Silicon Valley leaders? Worth way more than $5,” Bloom notes, highlighting how this insight transformed their approach and outcome.
“When everyone’s competing on the same axis, change the game entirely.”
The Power of Asymmetric Thinking
Bloom extends these lessons to the broader business landscape, particularly for founders. He advocates for “asymmetric thinking,” a strategy that deliberately diverges from conventional approaches to achieve disproportionately large results. This contrasts with “linear thinking,” which, as Bloom states, “gets linear results.” He shares how some founders have built billion-dollar companies by fundamentally questioning the premise of competition itself, asking, “What if we didn’t compete at all?”
“Linear thinking gets linear results. But asymmetric thinking creates asymmetric outcomes.”
To encourage this type of thinking, Sahil Bloom concludes his post with a practical exercise: writing down an “obvious” solution to a challenge and then forcing the identification of three alternative approaches by imagining the initial solution is unavailable. He posits that one of these alternatives is likely to be significantly superior to the first instinct.
📝 About This Content
This article is based on insights shared by Sahil Bloom on LinkedIn.
📅 Originally posted on November 17, 2025 | View original post on LinkedIn →