Qurated: Superlinear Returns
Superlinear Returns: Why "Good Enough" Is a Trap
Most of life trains you to expect linear returns: work twice as hard, get twice the reward. This is a lie—and believing it will cap your ambition at exactly the wrong level.
In reality, many domains reward performance superlinearly. Being slightly better doesn't get you slightly more—it gets you disproportionately, sometimes exponentially, more. Understanding where and why this happens is one of the highest-leverage insights you can act on.
Why School Lies to You
Grades are deliberately linear. A 95 gets you slightly more credit than a 90. This calibrates your intuition for a world that doesn't actually exist outside the classroom.
Real markets, real networks, and real skill hierarchies don't work this way. The best restaurant in town doesn't get 10% more customers than the second-best—it gets fully booked while the second-best struggles. The #1 search result gets exponentially more clicks than #10, even though the quality gap might be tiny.
The Four Engines of Superlinearity
1. Exponential growth. Compounding processes—money, audiences, skills that build on themselves—turn small early advantages into massive later ones. A 1% daily edge becomes a 37x edge in a year.
2. Thresholds. Many rewards are step functions, not slopes. You don't get "partially funded" by most VCs. You don't get "slightly hired." Crossing an invisible line matters more than how far past it you land.
3. Winner-take-most markets. When customers can choose freely and switching costs are low, they gravitate to the best option, not a representative sample of options. This is why one search engine dominates, not ten roughly-equal ones.
4. Compounding reputation. Being recognized as excellent generates opportunities that make you more excellent. This flywheel doesn't spin for the merely competent.
The Strategic Implication
If returns in your field are linear, incremental improvement is rational—optimize steadily. But if returns are superlinear, incremental improvement is a trap. You need to ask a harder question:
Am I trying to be good, or am I trying to be the best?
These require different strategies. "Good" is achieved through diligence. "Best" often requires a different game entirely—finding an underexploited niche, making an asymmetric bet, or accepting higher variance for a shot at the top of the curve.
A Framework: Audit Your Field
Before investing years into any domain, ask:
- Is this winner-take-most? (If yes, mediocrity is invisible—only the top matters.)
- Are there compounding effects? (Does today's effort make tomorrow's easier?)
- Is there a threshold I need to cross? (Or am I already past diminishing returns on marginal effort?)
If you answer yes to any of these, stop optimizing for "better than before" and start optimizing for "as close to best as possible."
The Uncomfortable Corollary
Superlinear domains punish risk-aversion. If the payoff curve is exponential, playing it safe—aiming for reliable, moderate success—guarantees you underperform relative to what was possible. The rational strategy in a superlinear world is often more ambition, not less, even though it feels reckless.
This doesn't mean everyone should swing for the fences. It means you should first identify whether you're in a linear or superlinear game—because the optimal strategy is completely different depending on the answer.