Before optimizing a positive pattern, test causation…
Before optimizing around a perceived positive pattern, verify through deliberate removal tests whether the pattern persists when suspected causal factors are absent.
When This Fires
- Before restructuring your schedule around a perceived productivity pattern
- When investing significant resources (time, money, effort) into maintaining a pattern
- When someone says "I always do X and it always leads to Y" as justification for X
- Before recommending a personal pattern to others as a best practice
Common Failure Mode
Refusing to test because "it's obviously working." The refusal is itself a signal: if you're unwilling to remove the factor for even one cycle, you might be attached to the ritual rather than to the outcome. Genuine causal factors survive removal tests. Superstitions don't — but they also resist testing.
The Protocol
Before investing in optimizing a positive pattern: (1) Identify the suspected causal factor: "I think [X] causes [positive outcome]." (2) Remove X for one full cycle (one week, one sprint — whatever the natural period is). (3) Measure the outcome: does [positive outcome] persist without X? (4) If outcome persists → X was not the cause. Investigate what actually drives the outcome. (5) If outcome drops → X is likely causal. Now you can optimize with confidence.