Real or Fake Good? How to Tell What's True When Everything Sounds True
Everyone sounds like an expert now — so how do you tell real from fake? In the age of AI, fluent confidence is cheap and fabricated sources are everywhere. This episode gives you a practical, doctor-tested framework for judging health claims, spotting misinformation, and knowing when to trust your gut.
We break down Malcolm Gladwell's "thin-slicing" (when snap judgments work and when they fail), what AI actually changed about spotting fakes, and the influencer playbook of real mechanism → unsupported leap → product. Then we ask a surprisingly useful question — are the Detroit Tigers real or fake good? — to explain small sample sizes, regression to the mean, and why the same logic applies to small medical studies.
You'll also get the anatomy of a con (urgency, authority, plausibility), Gladwell's "default to truth," healthcare-specific scams to watch for, and a 5-question checklist you can use on anything:
- Who benefits if I believe this?
- Does the source exist and say what's claimed?
- Mechanism or outcome?
- What would change this person's mind?
- Am I judging inside my own expertise?
Plus a Michigan Minute on the latest AI scam alerts. Whether you're a patient, a skeptic, or just tired of being fooled online, you'll leave able to think more clearly about what's true.