Single Variable Method
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
The practice of changing only one variable while keeping all other conditions fixed, so that the effect of that variable can be judged accurately. When several factors influence an outcome, changing several at once makes attribution impossible, which is why this is the basic principle of controlled experiments. Single-factor optimization is a closely related idea.
SCAFFOLDING EFFECT
Reduce cognitive load
- Hold constant: freeze every condition except the one variable you intend to test. - Isolate effect: change only that variable and watch how the outcome responds. - Swap control: rotate variables one at a time to compare their separate contributions.
Anchor fast decisions
In a controlled experiment, holding other conditions constant and varying only one independent variable lets the difference in outcome be attributed uniquely to that variable, which isolates causation and rules out confounders.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Control_variableverified
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