What's this about?
Treatment-effects estimators extract experimental-style causal effects from
observational data. We use weights to make our data representative of the
population of interest. Using appropriate weights allows us to accurately
estimate causal effects. Ignoring the weights is equivalent to estimating
effects for a population that is not the one of interest.