New research suggests that values can play a significant role in science, but not in the way many people think. Scientists often worry that personal opinions or biases will influence their work and lead to false conclusions. However, experts have found a solution using decision-theory tools. They propose distinguishing between two types of value influence: one that lowers the standards for accepting a claim (which is usually a bad idea) and another that raises those standards without risking the accuracy of scientific findings. This approach seems particularly important in fields with practical applications, where values can have a significant impact on decision-making.