Definition of Statistics: The science of producing unreliable facts from reliable figures. — Evan Esar

Definition of Statistics: The science of producing unreliable facts from reliable figures.

Author: Evan Esar

Insight: There's something darkly honest about this definition, especially when you notice how often it plays out in real life. We've all seen studies that "prove" contradictory things, news headlines that cherry-pick data to support a predetermined narrative, or corporate reports that technically tell the truth while managing to be completely misleading. The numbers themselves might be solid—carefully collected, accurately measured—but the moment someone decides what story those numbers should tell, the whole thing can bend. What makes this sting is that it captures something true about human nature more than anything inherently wrong with statistics itself. Numbers are neutral until we touch them. We choose which data to highlight, which comparisons to make, which time period matters most. A company's revenue might be up 15 percent year-over-year while missing projections by 20 percent. Both facts are real. Both lead to wildly different conclusions depending on who's talking. The real usefulness isn't in dismissing statistics entirely—that would be naive in a data-driven world. It's in staying skeptical. Ask what's being measured, what's left out, and who benefits from the conclusion. The most unreliable facts often masquerade as the most scientific ones.