Pulse Speed
Updated 2026-08-22
INTRODUCTION
English translation pending.
CORE DEFINITION
Charles Fine proposes that industries evolve at very different rates: software moves like the fruit fly, generation after generation within weeks, while aviation resembles the elephant, barely changing across decades. The core claim is that strategy must match the pulse of its industry, its metabolic rate; fast-clock industries win through rapid iteration and quick trial and error, while slow-clock industries win through long-arc reliability, deep qualification, and regulatory endurance. The key qualification is that a method from one clock is a liability in another.
SCAFFOLDING EFFECT
Reduce cognitive load
- Read the industry clock: classify the pulse as fast or slow before choosing a strategy. - Match method to tempo: iterate in small fast steps where the pulse is quick, and invest in long-arc reliability where it is slow. - Refuse template transfer: never impose one industry's rhythm on another's clock.
Anchor fast decisions
An industry's evolution rate sets how quickly capabilities become obsolete and how quickly experiments return information; a fast pulse returns feedback within weeks, so rapid trials compound, while a slow pulse returns feedback over years, where a single failed shortcut costs a whole cycle. Strategy that matches the clock harvests information at the rate it actually arrives.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%97%B6%E9%92%9F%E9%80%9F%E5%BA%A6verified
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