Here are some potential fallacies you could commit in your sampling:
- Hasty generalization - Drawing a conclusion about a population based on a small, non-representative sample.
- Sampling bias - Only sampling data that agrees with your hypothesis and ignoring data that contradicts it.
- Leading/loaded question - Asking questions in a way that biases or leads respondents toward answering in a particular way.
- Confirmation bias - Seeking out or assigning more weight to information that confirms your preconceptions, and ignoring or undervaluing information that contradicts them.
- False dichotomy - Presenting sampling options as if they are mutually exclusive when there are actually other alternatives.
Being aware