How Machine Learning May Have Predicted How You've Voted Since 2008

From the digital assistants like Siri in our phones to the algorithms that recommend us things to buy on Amazon, artificial intelligence is truly ingrained in the function of our technological society. Some of the most innovative forms of media exist because machine learning has exponentially become more prominent, and it is no surprise researchers at Stanford University use it to learn more about humans and their political patterns. These researchers identified a unique association among U.S. voters and the type of cars they own. If a city has a higher percent of sedans than pickup trucks, then there is an 88% chance the city will vote Democrat in the 2020 presidential election. And vice versa, if a city has a higher percent of pickup trucks than sedans, then there is an 82% it will vote Republican.