However, if one asserts that the data are biased, one must know the attribute of the underlying population. As a matter of fact, usually the population is infinite in size and unknown in distribution. Hence, it is difficult to judge whether the data are bad. Further, if the data were biased, classical procedures face the same problem as resampling. While replications in resampling could partially alleviate the problem, classical procedures do not provide any remedy.
Some critics question the accuracy of resampling estimates.
If the researcher doesn't make enough experimental trials, resampling may be less accurate than conventional parametric methods. This is not a convincing argument because today's high-power computers are capable of running billions of simulations. For example, in StatExact, a software for exact tests, the user could configure the resampling process to run with maximum RAM for 1000000000 samples with no time limit. The only difficult part of using the package is to integrate it into Microsoft Excel. Resampling Stats in Excel conducts analysis through the Excel interface, which is already familiar to many users.