Using multiple control groups in experiments helps to increase the accuracy of the results and eliminate potential biases or confounding variables. By comparing the outcomes of different control groups, researchers can ensure that any changes observed in the experimental group are truly due to the intervention being tested and not due to other factors. This helps to improve the validity and reliability of the study findings and allows for more robust conclusions to be drawn. Additionally, using multiple control groups can help to control for individual differences and increase the generalizability of the findings to a broader population.