The convenience sample often suffers from biases from a number of biases. This can be seen in both of our examples, whether the 10,000 students we were studying, or the employees at the large organisation. In both cases, a convenience sample can lead to the under-representation or over-representation of particular groups within the sample. If we take the large organisation: It may be that the organisation has multiple sites, with employee satisfaction varying considerably between these sites. By conducting the survey at the headquarters of the organisation, we may have missed the differences in employee satisfaction amongst non-office workers. We also do not know why some employees agreed to take part in the survey, whilst others did not. Was it because some employees were simply too busy? Did not trust the intentions of the survey? Did others take part out of kindness or because they had a particular grievance with the organisation? These types of bias are quite typical in convenience sampling.