Learn
Your devices generate a lot of numbers. Here's what they actually mean, and what to do about them. Clear, answer-first explanations for people who want to understand their data, not just collect it.
How Testosterone Actually Declines and What Slows It Down
The mechanisms behind age-related testosterone decline, what accelerates it, and what the evidence says about reversing it
Testosterone declines at roughly 1-2% per year after 30, but individual trajectories vary enormously. Sleep deprivation, excess body fat, insulin resistance, and chronic stress all accelerate decline independently of age. This article explains the mechanisms and what actually works to slow them.
What High Eosinophils Mean and When to Pay Attention
How to read your eosinophil count, what levels require action, and the one situation that is genuinely dangerous
Mildly elevated eosinophils are usually explained by allergies or asthma. Levels above 1500 warrant investigation. This article explains the reference ranges, common causes, and the Strongyloides risk that makes context critical before starting steroids.
How to Interpret Your Lipid Panel: LDL Particles, ApoB, and What Actually Matters
Why the standard cholesterol number is only part of the story, and what ApoB and Lp(a) tell you that LDL-C cannot
Standard lipid panels report LDL cholesterol, HDL, and triglycerides. These are useful but incomplete. ApoB counts every atherogenic particle and is more predictive of cardiovascular events. Lp(a) is an inherited risk factor most panels skip. Here is how to read the full picture.
What Your Thyroid Numbers Mean for Energy, Recovery, and Body Composition
Why TSH alone is not enough, what Free T3 and Free T4 actually tell you, and how Hashimoto's hides in a normal panel
TSH is a pituitary signal, not a direct thyroid output measure. Free T3 and Free T4 tell you what the gland is producing and what the body can use. Optimal TSH is 1-2 mIU/L, not anywhere in the clinical normal range. Here is how to read the full picture.
What Your Liver Enzymes Tell You: ALT, AST, and GGT Explained
How to read the three most common liver markers, what each pattern actually means, and when to investigate further.
ALT, AST, and GGT each tell a different story. ALT is the most liver-specific, GGT is the most sensitive early marker for alcohol load and metabolic dysfunction, and AST in active people often reflects muscle, not liver stress. This guide explains what each pattern means and what to do with a result that is out of range.
How to Interpret Your Iron Panel: Ferritin, Saturation, and What Out-of-Range Actually Means
Ferritin below 30 ng/mL causes fatigue before anemia develops. Here is how to read the full panel.
An iron panel includes serum iron, ferritin, TIBC, and transferrin saturation. Ferritin is the most clinically useful single number, and standard reference ranges are set for anemia prevention, not optimal function. This guide explains what each marker measures, how to distinguish deficiency from overload from inflammation, and what to do about results outside the optimal range.
What SHBG Is and Why It Matters More Than Total Testosterone
The binding protein that determines how much testosterone your cells can actually use
Total testosterone tells you how much you have. SHBG determines how much is biologically available. This guide explains what SHBG is, what raises and lowers it, how to interpret your number, and why it is often the missing piece in hormone panel analysis.
How to Read Your Hormone Panel: Testosterone, SHBG, Estradiol, and DHEA
What each marker measures, what the ranges actually mean, and the lifestyle levers that move them
A hormone panel is not just a testosterone number. To understand your hormonal health fully, you need free testosterone, SHBG, estradiol, DHEA-S, and LH/FSH at minimum. Here is how to read each marker and what to do with what you find.
What Your Resting Heart Rate Tells You About Hydration
How to spot fluid stress early in your wearable data
Resting heart rate rises quickly when hydration drops. Learn the pattern to watch, what causes false spikes, and how to use overnight data to correct fluid status before recovery suffers.
How to Use Your Body Temperature Data to Track Recovery and Illness
The trend patterns that separate noise from risk
Overnight temperature deviation is one of the earliest stress signals in wearable data. This guide shows what normal variation looks like, how to separate recovery load from illness onset, and what to do next.
More coming soon: WHOOP strain scores, sleep stage breakdown, HRV baseline methodology, and Apple Watch workout metrics.
