Dynamic Adjustment
Updated 2026-08-22
INTRODUCTION
English translation pending.
CORE DEFINITION
The phrase derives from the hexagrams of decrease and increase in the Book of Changes, where the sage is described as adjusting institutions to the times. The core claim is that a system's fit to its environment decays unless it is deliberately retuned, so adjustment is a permanent function rather than a periodic reform. The qualification is that adjustment requires a stable criterion: without an explicit measure of what the change is meant to serve, continuous revision degenerates into oscillation between whatever was suggested last.
SCAFFOLDING EFFECT
Reduce cognitive load
- Drift check: ask which part of your current setup no longer fits the conditions it was built for. - Adjustment rule: decide in advance which signals will trigger an increase and which a reduction. - Criterion anchor: fix the objective that all adjustments must serve, so revision does not become fickleness.
Anchor fast decisions
Conditions change while rules stay fixed, so the gap between the two widens until the rule actively obstructs the goal. Deliberate adjustment closes that gap in small increments, which is far cheaper than a single large correction after the misfit becomes visible. Because each adjustment is small, it can also be evaluated against results, which keeps the process disciplined rather than arbitrary.
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%98%93%E4%BC%A0verified
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