 The number of bootstrap samples recommended in literature has increased as available computing power has increased.If the results may have substantial real-world consequences, then one should use as many samples as is reasonable, given available computing power and time.Increasing the number of samples cannot increase the amount of information in the original data; it can only reduce the effects of random sampling errors which can arise from a bootstrap procedure itself.