Using data in in making decisions is becoming more and more crucial. But if we're not careful, we could easily be led astray and make decisions that range from hilarious to dangerous. We'll go over a few examples of biases in data that are both interesting and non-intuitive. For each, we'll see real life examples of where that bias shows up, how to know when it exists and how we can overcome it.