Facts are facts and data are data—both reveal objective truths. But, subjectivity is introduced the moment those facts and data are interpreted. In other words, they are susceptible to spin, or the biased interpretation of facts and data to persuade opinion in favor or against those facts and data. Therefore, individuals who are not entrenched in the science community are at a severe disadvantage when interpretations of data and fact are spun. Such individuals will take interpretations at face value without the training to analyze the hidden meanings or view topics from different angles. This disadvantage is further underscored when such individuals have little to no background in science and don’t speak the language of jargon. Instead, the public relies on scientists to relay truth instead of being skeptical interpreters. And this has led to a large anti-intellectual movement among Americans who do not trust scientists or their interpretations of data. For example, see how the same climate change data lead the vast majority of climate scientists to implicate humans as a direct cause of climate change, whereas political pundits on the Right are skeptical and use the same data to spin their interpretation that humans are not responsible. How can American citizens trust scientists in their community, and how will they be able to tell who is a trusted source of information? This is a critical question in the current political environment, and one recently examined by Kellia Chiu and colleagues in a 2017 paper in PLOS Biology.