I fail miserably at traditional algorithms—but there’s one I’ve mastered: the Health Algorithm.

Irony? Most platforms don’t even acknowledge it exists. ☹

Case in point: This post will be “mysteriously buried” because most platform’s algorithm lacks the sophistication to process it.
Me: Reverse-engineering human metabolism.
Algorithm: Too busy amplifying hot takes, duck-face selfies, and the 10,000th repost of “Hard work beats talent.”
The joke writes itself. 😏

But not on platforms with AI – https://x.com/grok/status/1956218310271623421

We’ve all felt it:
– Eating more when you’re not hungry.
– Gaining weight despite eating less.
– Cholesterol creeping up without a clear reason.
– Hormones hijacking your efforts.


Turns out, these aren’t willpower failures—they’re system glitches. Your body runs on a unique code shaped by:
🔥 Basal Metabolic Rate (BMR) (your body’s idle energy burn)
⚡ Daily Energy Expenditure (movement, even fidgeting counts!)
🧠 Hormonal Balance (especially insulin, cortisol, and hunger signals)
🩸 Blood Glucose & Triglycerides (your energy storage and fuel lines)
💪 Body Fat % (not just weight—composition matters)
😌 Mental State (stress and sleep alter your metabolic “software”)
🧬 Genetic Factors (your preloaded “hardware”)

Think of yourself as an AI engine: These are the data points your system crunches to output ‘you’. But the deeper variables? Lean muscle mass, liver health, gut microbiome, even meal timing—they’re all part of the equation.

Classic example? Insulin resistance. It’s like a corrupted file that skews your entire algorithm—yet often goes undetected in routine blood work. 

This video breaks it down brilliantly : https://www.youtube.com/watch?v=abaK5KdJNiw

The takeaway? Standard health markers are just 30% of the story. To actually fix metabolic struggles, you need to debug your personal code.