We throw around the word “data” like it’s objective, clean, absolute truth. But data’s messy. Biased. Shaped by who’s collecting it, who’s interpreting it, and what gets ignored in the process.
Think about it like a funhouse mirror. It shows you something, but it might be distorted. Sometimes on purpose. Sometimes by accident. Sometimes because the mirror was made for someone else entirely.
We live in a time where we’re swimming in data, but most people don’t know how to read it. Or question it. Or even notice when it’s manipulating them. And that’s dangerous. Because if we don’t interrogate what we’re looking at, we’ll accept the reflection at face value—even when it’s warped beyond recognition.