Negative Control
Definition
A negative control helps uncover possible biases in a study.
A control measurement or condition where no causal effect is expected and which can reveal biases.
Simply explained
You additionally check something that should actually not be influenced and watch for unexpected changes.
Why it matters in practice
Helps realistically assess model quality, limits, and technical decisions.
Example from business
An alleged campaign effect is tested against a result that the campaign should not influence.
Limits and pitfalls
- Choose an implausible control or interpret a passed result as proof of complete absence of bias.
Origin & history
Negative controls originate from experimental research and have been formalized for observational studies.
Use in mid-sized companies
- Possible application: A supposed campaign effect is tested against a result that the campaign should not influence.
Frequently asked questions
What does negative control mean?
A control measurement or condition where no causal effect is expected and which can reveal biases.
Which mistakes should be avoided?
Choose an implausible control or interpret a passed result as proof of complete absence of bias.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: