Answer:
Rule of small numbers.
Explanation:
The rule of small numbers corresponds to the false assumption held by people that small samples will resemble the population from which they are extracted. In other words, it is a judgment biasedness, which occurs when the features of a sample population are assumed to be derived from a small number of observations or data points.
