When a parameter's sampling distribution is skewed, the bootstrap percentile confidence has coverage error (i.e. a 95% percent confidence interval is not really 95%).
See, for example, Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians by Carpenter and Bithell.
Is there any intuitive explanation why this is the case?