Sampling methods can introduce bias if the sample is not representative of the population, leading to inaccurate conclusions. Additionally, small sample sizes may result in high variability and limit the reliability of the results. Certain sampling techniques can also be time-consuming and costly, especially if they require extensive data collection and analysis. Lastly, reliance on sampling may overlook important subgroups within the population, potentially missing critical insights.
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