This document discusses how to spot bad statistics. It provides three questions to ask: 1) Can you see uncertainty in the data? Many visualizations overstate certainty. 2) Can I see myself in the data? Data needs context about how it relates to people's lives. 3) How was the data collected? It's important to understand how surveys and studies were conducted. Bad statistics can mislead decision making, so it's crucial to evaluate data collection methods and understand limitations to get full context. Statistics are still important for policymaking, but they must be questioned and interpreted carefully.