The Case Against Morning Yoga, Daily Routines, and Endless Meetings

Andrew Chen splits work into a power law: a small number of “10x” tasks that define a whole year of professional output, against a long tail of “1x” or “0.5x” routine tasks that add no new information and carry no risk. Grinding harder inside the routine only buys a 3x gap between a hard worker and a lazy one, but real output gaps between people and companies run 10x, 100x, even 1000x. That gap comes from what kind of work gets done, not how many hours go into it.

He argues 10x work can be engineered for even though it can’t be scheduled: it clusters at the frontier of a field before status hierarchies and best practices exist, it comes from acting on your own plan instead of reacting to other people’s requests, and it compounds through leverage: content, products, or communities that keep working while you sleep. He borrows Scott Adams’s idea that the reliable path to something extraordinary isn’t being the best at one thing (near-impossible) but being top 25% at two or three things, an argument Naval Ravikant extends by pointing out how fast a “3,728th best” combination of skills becomes globally rare once stacked together.

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• Daily routines (meetings, inbox, checklists) are mostly 1x or sub-1x work: comfortable, low-risk, and incapable of adding up to a career-defining outcome no matter the volume.
• The difference between a grinder and someone lazy is roughly 3x in hours worked, but real-world output differences between people run far higher. The gap is explained by what work gets chosen, not effort alone.
• 10x work happens at the frontier of a field, where no status hierarchy or playbook exists yet; today that’s web3, VR, AI apps, deep tech, tomorrow it will be something else.
• Acting on your own plan beats reacting to others’ requests. Chen frames “send an email to X” as inherently stronger than “reply to Y.”
• Leverage matters: assets that keep compounding without further input (essays, products, communities) create more surface area for serendipity than private memos or decks.
• Scott Adams’s version of comparative advantage: being literally the best at one thing is near-impossible, but being top 25% at two or more things is achievable and, combined, rare.
• Naval Ravikant’s extension: stacking several “pretty good” (not best-in-class) skills moves someone from one-in-10,000 in each individually to one-in-millions in combination.
• Chen’s closing prescription: automate or delegate the long tail of sub-1x tasks, keep doing solid 2-5x work, and deliberately create more chances at the head of the curve (new projects, new people, more swings) rather than optimizing routines.