A lurking variable in statistics is a hidden third factor that affects the relationship between two variables being studied.

Quick Scoop

It is not one of the main variables in the analysis, but it can make the relationship look stronger, weaker, or even misleading. In simple terms, it can make you think one thing causes another when something else is really driving the pattern.

Example

If a study finds that ice cream sales and drowning incidents rise together, a lurking variable like hot weather may explain both. The weather is not the main focus, but it influences both variables and creates a confusing connection.

Why it matters

  • Lurking variables can hide a real relationship.
  • They can create a false one.
  • They can lead to incorrect conclusions about causation.

Simple rule

Correlation does not automatically mean causation, and lurking variables are one big reason why.