An advanced statistical approach that enables precise evaluation of charitable program impacts by creating artificial control groups for comparison. This methodology helps donors and advisors make more accurate assessments of program effectiveness by simulating what would have happened without the intervention, leading to more confident and data-informed giving decisions.
