Probability and Statistical Biases
Sampling bias
The sample differs systematically from the population.
What Is Sampling bias?
Sampling bias is a thinking trap where the sample differs systematically from the population.
How It Tricks You
It can make noisy, incomplete, or poorly framed data feel more meaningful than it is.
Real-World Example
A poll of morning commuters misses people who work nights.
Seen Online As
- Everyone I asked agrees with me.
- My feed makes this opinion look universal.
- The sample is convenient, not representative.
What To Ask Instead
Does this sample match the group being discussed?
Related Thinking Traps
Common Situations
Quick FAQ
What is Sampling bias?
The sample differs systematically from the population.
What is an example of Sampling bias?
A poll of morning commuters misses people who work nights.
How do I spot Sampling bias?
Does this sample match the group being discussed?