Anthony Pearson, cardiologist and writer of The Skeptical Cardiologist, joins to unpack which health prediction tools matter. They discuss heart-risk calculators that guide proven interventions. They debate APOE genetics for dementia and when testing helps. They call out the hype around biological age clocks and why those consumer tests are premature.
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volunteer_activism ADVICE
Avoid Tests Pushed By Sellers
Watch for conflicts of interest when evaluating prediction tools and their promoters.
Ask whether the person promoting a test is also selling the test, supplements, or 'fixes' to exploit results.
insights INSIGHT
Popular Medical Videos Often Lack Evidence
High-visibility online medical claims often lack solid evidence and the wilder claims get more views.
A study of 309 YouTube doctor videos found 62% of claims lacked strong evidence and low-evidence videos had 35% more views.
insights INSIGHT
Why Cardiac Risk Calculators Matter
Risk equations work when linked to modifiable factors that clinical trials show change outcomes.
Framingham-style models identify age, BP, LDL, smoking, and diabetes as predictors where intervention reduces heart attack risk.
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Can you predict when “bad things” will happen to your health—and more importantly, can you do anything about it? In this episode, I break down which prediction tools actually help you live long and well (because you can act on them), and which ones are mostly expensive fortune-telling. Joined by cardiologist Dr. Anthony Pearson (author of The Skeptical Cardiologist), we dig into heart-risk calculators, dementia genetics, and why biological age clocks aren’t ready for prime time.
Guest: Dr. Anthony Pearson, cardiologist and writer of The Skeptical Cardiologist (Substack)
Key topics & takeaways
Why “prediction” only matters if it changes what you do—and improves real outcomes.
A red flag to watch for: is the person promoting the tool also selling the test, supplements, or “hacks” to fix it?
A sobering reality check: even doctors’ YouTube claims often lack strong evidence (and the least evidence-based content gets more views).
Heart disease risk equations: the gold standard in prediction because we can reduce risk factors (BP, LDL/ApoB, smoking, diabetes) and clinical trials show outcomes improve.
But even good tools miss people: a study of <65-year-olds who had heart attacks found many were labeled “low risk” beforehand.
Dementia genetics (ApoE): ApoE4 raises risk (especially E4/E4), but it’s not destiny. You can’t change genes—so the value of testing depends on whether it motivates healthy behaviors or creates anxiety.
Biological age clocks: fascinating research, messy consumer product. Different tests disagree, repeat testing can vary wildly, and most importantly—no proof that “lowering” a clock improves health outcomes or longevity. My advice: save your money (for now).
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