Much like with medicine, scientists can run "experiments" on people to find solutions to social problems. This comes with the daunting question of how we can properly evaluate these experiments to get scientifically valid results. We'll tackle this problem by exploring an experiment, ran by a UCLA professor, that aimed to reduce prejudice between religious groups by putting people on mixed soccer teams. This class would be great for future social science majors hoping to get a taste of what data methods are used in experimental work, as well as for those interested in pursuing statistics or data science with real-world applications. We'll cover very basic R scripting (no programming experience necessary) and various estimation methods to determine the true effect of intervention on social outcomes. If we have time, we'll explore some cool statistical tricks like controls to make our results more robust.