Small nitpick:
What you are talking about is not sampling bias, it is something else.
You are alluding to how confidence in the presented results may be significantly lowered due to a high variance - associated with small sample sizes (it is a statistically significant possibility that you obtained the outcome through chance and not because it is representative)
Sampling bias is another thing altogether, when the method of taking measurements will exclude some of the population. For example, estimating ratio by taking note of the presumed gender of people leaving a particular room - not realising that it is in fact the female toilet.
Nonetheless, it is always a good idea to query the sample size when results are presented in such a manner :-)
You are alluding to how confidence in the presented results may be significantly lowered due to a high variance - associated with small sample sizes (it is a statistically significant possibility that you obtained the outcome through chance and not because it is representative)
Sampling bias is another thing altogether, when the method of taking measurements will exclude some of the population. For example, estimating ratio by taking note of the presumed gender of people leaving a particular room - not realising that it is in fact the female toilet.
Nonetheless, it is always a good idea to query the sample size when results are presented in such a manner :-)