What are the advantages and disadvantages of using the chebyshev theorem in statistics?

Chebyshev's theorem is advantageous because it applies to any dataset, regardless of its distribution, providing a way to estimate the proportion of data within a certain number of standard deviations from the mean. This makes it useful for non-normally distributed data. However, its main disadvantage is that it can be quite conservative, often yielding broader intervals than more specific methods like the empirical rule for normally distributed data, potentially leading to less precise insights. Additionally, it may not provide much information for small sample sizes.