In this episode of Lipstick on Labcoats, the hosts break down why measurable outcomes are the backbone of credible science—and what happens when they’re ignored, distorted, or misunderstood. From skewed datasets and selective reporting to the spread of misinformation and propaganda, this conversation exposes how easily numbers can be manipulated to tell the wrong story.

The discussion also tackles a growing problem: data illiteracy. When people interpret statistics without understanding analytics—or fail to step back and view systems from a top-down perspective—decisions become driven by bias instead of evidence.

Witty, sharp, and unapologetically direct, this episode challenges listeners to question the numbers they see, think critically about “facts,” and recognize the difference between meaningful outcomes and manufactured narratives.