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Common and Special Cause Variation

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Common cause variation is the natural, built-in variation of a process: many small causes acting all the time, giving a stable and predictable pattern. Special cause variation (also called assignable cause) comes from a specific, identifiable event that is not part of the normal process, such as a broken tool, a bad batch of material, or a new operator. Control charts are designed to tell the two apart, because they need opposite responses: special causes are found and removed locally, while common-cause variation only goes down when the system itself is changed, which usually needs management action.

Common cause noise with one special cause spike A control chart where most points wander randomly inside the control limits, which is common cause variation. One point jumps above the upper control limit, labeled special cause, for example a bad material lot. UCL LCL special cause (e.g. bad material lot) everything else: common cause variation — the system’s normal noise Original diagram, illustrative data.

Common versus special cause

Common causeSpecial cause
Other namesChance, random, natural, generalAssignable
SourceMany small factors that are always presentA specific event or change
On a control chartRandom points inside the control limitsPoints outside the limits or non-random patterns
Who fixes itManagement, by changing the system (for example, upgrading a machine)Usually the people closest to the process (for example, fixing a machine fault or rejecting a bad lot)
ExamplesNormal wear, small temperature swings, normal differences between trained operatorsA broken tool, a wrong setting, a new untrained operator, a bad raw-material lot

The cost of mixing them up

Treating common-cause noise as if it were special — adjusting the process after every result — is called tampering, and it makes variation worse, not better. W. Edwards Deming demonstrated this with his funnel experiment. The opposite mistake is ignoring a real special cause. The control chart, first developed by Walter Shewhart, gives a rule for when to act and when to leave the process alone.

Common cause and special cause variation

Frequently asked questions

Is common cause variation always acceptable?

No. It is predictable, but it can still be too large for the customer’s specification. Reducing it is a typical Six Sigma project, and it needs changes to the process itself.

Who named common and special causes?

Walter Shewhart used the terms chance causes and assignable causes. W. Edwards Deming later popularized the names common causes and special causes.

See also: in-control process, voice of the process, and control charts.

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See also: Process capability · Multi-vari chart: three families of variation

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Last updated: November 14, 2026 · Published by Lean Six Sigma Training Guide (sixsigmatrainingfree.com) · How this guide is written