Weighting creates two distinct problems: it roughly doubles the real variability compared to a simple random sample, and it leaves residual skews (unobserved or uncorrected biases) that do NOT shrink as sample size grows, so conventional sampling-error estimates tell you how the procedure varies sample-to-sample but not how systematically wrong the procedure is.