Inverse Probability Weighting (IPW) is a statistical technique used to create a pseudo-population in which the treatment assignment is independent of the observed covariates, allowing for unbiased estimation of causal effects in observational studies. It achieves this by weighting each observation by the inverse of the probability of receiving the treatment that was actually received, thus balancing the distribution of covariates across treatment groups.