The Healthspan Brief · Issue 04 · 1 August 2026
I read the wrong cholesterol number for 20 years
The largest position on your register — and the memo I ignored for two decades. Plus a ten-minute check you can run tonight.
Last issue you priced the register — the four things most likely to end the game. This issue is the largest position on it: cardiovascular disease, the single leading cause of death on earth. And I’m going to make it personal, because I misread this exact position for twenty years — while doing, by every reasonable standard, everything right.
Here’s the confession. For two decades, my cardiovascular health was a conversation I never actually understood. Every year or two, the same exchange: cholesterol’s high, watch the diet, let’s keep an eye on it. I’d nod, file it under “probably fine,” and move on. It never resolved into anything I could act on.
What bothered me most: reading complex risk was literally my job. Fifteen years of stress-testing other people’s bets — and I couldn’t tell you my own cardiovascular risk with any confidence. The numbers I was handed — total cholesterol, LDL-C, HDL, some ratios — read like a weather report in a language I didn’t speak. And the public conversation only made it worse: eggs are poison, eggs are fine; statins are a miracle, statins are a scandal. Everyone certain, nobody clear. Meanwhile I looked on top of it — the ring, the tracking, various diet fads, a shelf of longevity podcasts. I wasn’t lazy about my health. I was diligent about the wrong numbers.
So I finally did what I’d have done with any bet I didn’t understand: pulled it apart until it made sense. I read widely — Peter Attia’s Outlive was one of the genuinely useful sources — but the real shift came from sitting with physicians who practice Medicine 3.0 (Issue 03’s upgrade) in the wild: proactive, personalized, playing the long game. They didn’t tell me I was “fine for now.” They ordered the panel that showed the real picture, and walked me through what each number actually meant:
→ ApoB. LDL-C, the number I’d been handed for years, turned out to be a fuzzy proxy for ApoB — the one that actually drives the damage.
→ Lp(a). Largely genetic, one of the most common serious risk factors there is — and it wasn’t even on the standard panel. I’d never once been told to check it. A measure-once-in-a-lifetime number.
→ CCTA. Instead of inferring risk from a blood draw, imaging that looks at the arteries directly — the downstream tool from Issue 02. The difference between reading tea leaves and opening the hood.
The picture that came back was almost nothing like the one I’d been nodding along to for a decade. Neither reassuring nor overly alarming. Just, finally, legible and actionable.
I’d been reading the wrong numbers for years — not because anyone lied to me, but because the mainstream version of this conversation is vague by default and leaves out what matters most. And I’m not an unusual case. Just recently, a close friend — an operator, disciplined — survived a heart attack. Here’s what makes that hard to sit with: of all the ways the game ends, this is the one that gives the most warning. It builds silently for decades. An event like his is almost never a bolt from the sky — it’s the end of a long, legible process. Which means it was, in all likelihood, preventable. Nobody had ever put the right numbers in front of him either. Same shape: someone who assumed this position was handled, discovering it wasn’t.
I’ve started calling that cholesterol conversation a memo — one of four my body sent me over the years, each from a different department, each one I read as noise at the time. This issue was the heart’s. The other three departments get their turn in future issues.
This week’s assignment — ten minutes, tonight. Pull your most recent lab report. The actual document. Scan it for two words: ApoB and Lp(a). That’s it. If they’re there, you’re ahead of where I was for twenty years. If they’re not, you now know a specific, nameable gap — and closing it is one sentence at your next appointment: “I’d like to understand my ApoB and Lp(a) — can we test them?” What to do with the results is your physician’s terrain — and that’s exactly where we go next week: the role your physician actually plays, and how finding the right one changed my outcome. But whether the numbers exist at all? That you can check before you go to bed.
You’re the CEO of a decades-long project. Your physician is your highest-value consultant. Halor is the co-pilot that keeps the right numbers in front of you.
If you know someone who’s been told “a bit high” for years and nodded along like I did, forward them this one.
— Ben
P.S. Did they show up on your report — yes or no? Reply with one word. I’m building a picture of how common this gap actually is, and it shapes what gets written next.
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