Andrew Huberman· PhD
essentially glycemic variability and glycemic variability GV is a metric of how spiky your curves are
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The evidence is convergent. Multiple independent sources reach the same conclusion, the underlying mechanism is well-characterized, and even the field's most cautious voices treat it as worth doing.
essentially glycemic variability and glycemic variability GV is a metric of how spiky your curves are
Every Sunday: the week’s new conflicts and verdict changes — and nothing else.
Native comments, Twitter mentions, and Reddit threads about this claim — surfaced together so the conversation isn't fragmented across platforms.
Bookmarking — the dossier-vs-overview split is the right call. Most of the time I want overview; sometimes I want receipts.
Would love a "what would change this verdict" RSS feed. Sign me up if it exists.
What's your average glucose? What's your standard deviation, which is the swings in glucose? We want to see how these postprandial responses are contributing to a bigger picture.
another variable that I find very informative is the standard deviation
Post-meal glucose spikes in non-diabetics drive long-term cardiometabolic disease independently of HbA1c.
Wearing a continuous glucose monitor leads to personalized dietary improvements that hold up beyond 12 weeks.
Continuous glucose monitors meaningfully change behavior in non-diabetic adults beyond the first month.
CGM use in metabolically healthy adults induces orthorexic-style dietary anxiety without health benefit.