Normal Range vs Optimal Range: Why Your Lab Results Are Graded on a Curve Set by Sick People

• The reference range on your lab report is not “what healthy looks like.” It is the central 95% of the values from whoever the lab tested to calibrate the assay – which includes plenty of men with obesity, diabetes, sleep apnea, alcohol overuse, and untreated thyroid problems. The bottom of the range is “still in the population” not “still healthy.”
• The testosterone reference range LabCorp used in 1995 had a lower bound around 250 ng/dL. The range it uses today reaches lower, in part because population testosterone levels have declined – roughly 1% per year for several decades according to multiple datasets. The “range” is moving with the sick population, not anchored to optimal physiology.
• I have lost count of clients who came in with a “totally normal” T number on their lab report and were objectively struggling – low energy, libido suppressed, brain fog, no progress in the gym for years. Their total T was 380 or 420. Their doctor was right that it was in range. Their doctor was wrong that it was fine.
• Optimal ranges I use with clients are derived from where men actually feel well, perform well, and recover well – not from population statistics. For most major hormonal markers, optimal sits in the upper third or upper half of the reference range, not the broad middle.
• The single most useful question to ask about any number on your lab report is not “is it in range.” It is “where in the range does it sit, and what is the trend.” A T number that has dropped from 720 to 560 over two years is a meaningful trend even though both numbers are “in range.”
• Some labs use ranges that have not been updated in 20 years. Others have updated them downward as the reference population has declined hormonally. Neither tells you what your body is built to operate at. That is what the hormone panel decoder framework is for – translating numbers into actionable physiology rather than population statistics.

The single most damaging sentence in male hormone optimization is “your numbers are normal.” It is said by GPs every day to men whose T is at 380, whose free T is at the bottom of the calculated range, whose vitamin D is at 22, whose ferritin is at 35, and whose TSH is at 3.7. Every one of those numbers is technically inside the reference range printed on the lab report. None of them describe a man who is functioning at the level his physiology was built to operate at. The gap between what your lab calls normal and what your body actually needs is where the entire conversation about hormone optimization lives.

I have been having this conversation with clients at PowerandBulk.com for years, and I have watched the gap grow rather than shrink. Reference ranges are statistical artifacts. They are pulled from the actual population that the lab tested to calibrate its assay – which means they reflect the average modern man, who is getting sicker, fatter, more insulin-resistant, more sleep-deprived, and more hormonally suppressed every decade. The range moves down with the population. The man who needs to feel well does not move down with the population. That mismatch is the core of this article.

How Reference Ranges Are Actually Built

The technical process is straightforward. When a lab develops or calibrates an assay for a hormone, they run the assay on a sample of the population – usually a few thousand people drawn from whoever happens to be getting bloodwork at the time. They calculate the central 95% of that distribution. The lower 2.5% and upper 2.5% get cut off. The middle 95% becomes the reference range printed on the lab report.

That process makes sense if you are trying to identify diseases of obvious dysfunction – someone whose value is way outside the central distribution clearly has a problem worth investigating. It makes much less sense if you are trying to identify whether someone is operating at optimal physiology. The central 95% of a hormonally compromised population is still a hormonally compromised population. The lower bound of that distribution is “the unhealthiest 2.5% are excluded” not “everyone above this line is healthy.”

For testosterone specifically, the problem compounds. Multiple large datasets have documented a roughly 1% per year decline in average testosterone levels in men over the last several decades. The 1988 reference population had a meaningfully different distribution than the 2024 reference population. Labs that recalibrate their ranges against current population data end up with progressively lower lower-bounds. Labs that do not recalibrate are using a range that is now arbitrarily tighter relative to where the population actually sits. Either way, the relationship between “in range” and “optimal physiology” is loose at best.

The LabCorp range I see most often on US client panels currently reads 264-916 ng/dL for total testosterone. The bottom of that range – 264 – is a number that almost no man I have ever worked with felt acceptable at. The men I have seen at 280 or 320 typically present with low energy, suppressed libido, slow recovery, mood issues, and an inability to make progress in the gym. They are technically in range. They are not technically well.

What “Optimal” Actually Means In Practice

The opposite of reference-range thinking is not “higher is always better.” Too-high hormonal markers create their own problems. Testosterone above 1000 ng/dL in an unmedicated man is unusual and worth investigating. Estradiol over 50 is too high. SHBG under 15 can indicate insulin resistance. Optimal is a window, not a ceiling.

The way I have built the optimal ranges I use with clients is not from a textbook. It is from years of cross-referencing client bloodwork with subjective reports and objective outcomes – how they felt, how they performed in the gym, how they recovered, what their body composition did, how their sleep tracked, what their relationships looked like. Across hundreds of clients, certain ranges of certain markers correlate consistently with men feeling and functioning well. Those are the ranges that go into the hormone panel decoder framework I apply.

For the major markers, optimal ranges I have arrived at:

• Total testosterone: 600-900 ng/dL. Below 500 is where subjective complaints become common. Above 1000 in an unmedicated man warrants a second look.
• Free testosterone: 15-25 pg/mL. The single best predictor of how a man actually feels, more than total T.
• SHBG: 20-40 nmol/L. Above 50 starts suppressing free T meaningfully. Below 15 hints at insulin issues.
• Estradiol (E2): 20-35 pg/mL. Higher is feminizing, lower hurts libido and bone density.
• TSH: Under 2.5 mIU/L. The reference range top of 4.5 is one of the most aggressively wrong upper bounds in conventional medicine.
• Free T3: Upper half of range, typically 3.2-4.2 pg/mL.
• Vitamin D 25-OH: 50-70 ng/mL. The reference low of 30 is “not severely deficient” not “actually sufficient.”
• Ferritin: 70-150 ng/mL. Many labs flag low as under 30. Most men feel suboptimal under 50.
• Fasting insulin: Under 5 mIU/L. Reference top of 25 includes people in profound metabolic dysfunction.
• DHEA-S: 200-400 mcg/dL for adult men, age-adjusted.

These numbers are not pulled from textbooks. They are calibrated against what I have actually seen in clients who feel and function well across hundreds of cases. They will not match what a typical GP considers actionable. That is the point.

The Case That Convinced Me Reference Ranges Are Misleading

Aaron Pell is one of the cases I have brought up before because it is the cleanest example of reference-range thinking failing a man who was clearly not well. Financial planner in Denver, 31, came to me lean and active, planning his first kid with his wife. Total T at 720 ng/dL – a number his GP had told him was excellent. His GP was not wrong that it was excellent in isolation. His GP was wrong that it was the right number to look at.

When I ran the expanded panel, his SHBG was at 78 nmol/L – reference range top is around 57 on most labs, so above range, but only marginally. His calculated free T was 8.4 pg/mL. That number was technically inside the reference range his lab used (typically 9-26 pg/mL, though some labs use 5-21). It was inside the range. It was also at the floor of where any man feels well. Aaron felt off. He could not explain why because every number on his GP’s panel had a green checkmark next to it.

This is reference-range thinking in its purest form. Every individual number sat within its range. The panel as a whole described a man with a free T problem driven by elevated SHBG with possible thyroid involvement. The optimal-range view would have caught it immediately. The reference-range view missed it entirely.

We added boron citrate 9mg daily, magnesium glycinate 400mg at night, addressed mild thyroid suboptimality with selenium and an iodine-cautious dietary approach, and pulled back what turned out to be slight chronic caloric restriction. SHBG dropped to 48 over four months. Free T moved to 21.2 pg/mL. Aaron felt completely different. The total T number that his GP had been so happy with barely moved – it shifted from 720 to 740, statistically a non-change. The actual physiological improvement was in the number his GP had not ordered.

The Vitamin D Number That Made The Point Permanent

Andre Whitlock is the case that taught me to challenge the vitamin D range specifically. University professor in Boston, 47 when he came to me, married with a teenager. He had been complaining of fatigue, mood drift, and slow recovery from anything physical for two years. His GP had run vitamin D once – 14 ng/mL – and noted it was low. The GP recommended 1,000 IU daily and did not retest.

The reference range on most US labs for vitamin D 25-OH starts at 30 ng/mL. Below 30 is flagged. Above 30 is unflagged. The optimal range that the actual functional medicine literature points toward is 50-70 ng/mL, with some practitioners targeting 60-80. The gap between “not deficient” and “actually sufficient” is enormous – 30 ng/mL is the threshold for not having clinical rickets, not the threshold for vitamin D doing the hormonal and immune work it is supposed to do.

I had Andre run a real protocol: 5,000 IU vitamin D3 with 100mcg K2-MK7 daily, taken with a fat-containing meal. Retested at 12 weeks. His vitamin D had moved from 14 to 47 ng/mL – now technically “in range” but still below optimal. Continued the protocol, retested at 24 weeks. 64 ng/mL. Energy markedly improved. T moved 80 points from vitamin D correction alone, before any other intervention. He was eventually at 660 total T from a starting point of 420 with the full protocol layered in.

The number Andre’s GP had been reading as “low – take a multivitamin” was actually severely insufficient. The 30 ng/mL threshold is one of the most damaging false-floor numbers in conventional bloodwork interpretation. A meaningful percentage of fatigue and mood symptoms in indoor-working adults at northern latitudes are vitamin D deficiency symptoms that are being missed because the threshold for “sufficient” was set against rickets prevention rather than against optimal hormonal function.

The Metabolic Panel That Looked Fine Until It Did Not

Wesley Cardwell is the case I use to demonstrate that the metabolic side of reference-range failure is just as bad as the hormonal side. He was a fast food district manager based in St. Louis when he came to me, 37 years old, managing eight locations and eating from his own restaurants 8-10 meals a week. 245 lbs at 5’10”. He had been to his GP six months prior and been told his bloodwork was “borderline.”

Borderline meant: HbA1c at 5.9%, fasting glucose at 102 mg/dL, fasting insulin at 16 mIU/L. The GP had said he should “watch his sugar” and come back in a year. By the reference range view, none of those numbers were yet outside range – HbA1c upper bound on most labs is 5.7-6.4 depending on how it is reported, fasting glucose upper bound is around 99-100 depending on lab. Wesley was technically not yet diabetic. He was also technically running directly toward diabetes.

The optimal range view tells a very different story. Optimal HbA1c is under 5.4%. Optimal fasting glucose is under 85 mg/dL. Optimal fasting insulin is under 5 mIU/L. By optimal-range standards, Wesley was already in early metabolic syndrome. His T at 240 ng/dL was downstream of this. The aromatase activity of adipose tissue, the inflammation of chronic insulin elevation, the hormonal cost of obesity – all of it was visible on the panel if you read it against optimal rather than reference numbers.

The actual protocol came down to body composition first, supplements never. Walking 12,000 steps a day, fast food cut to twice a week, protein bumped up substantially. He lost 28 lbs in five months. His HbA1c dropped to 5.3. Fasting insulin to 7. T climbed from 240 to 410 in the same window with zero supplementation. By month 12 his T was at 580 and his metabolic markers were in the optimal range across the board. The GP who had told him to “watch his sugar” walked back the prediabetes conversation entirely.

The point is not that the GP was incompetent. The point is that reference-range medicine is designed to catch active disease, not to optimize physiology. A man whose markers are heading the wrong direction inside the reference range will not be flagged until he crosses the line into “abnormal.” By then the underlying physiology has been compromised for years.

Why Trends Matter More Than Snapshots

One reframing that has consistently helped clients is this: stop reading any single number as a verdict. Read it as a snapshot in a longer trend.

A man whose T was 720 at age 35, 640 at age 38, and 560 at age 41 is on a trajectory. Every one of those numbers is “in range.” The trajectory is meaningful. The same trajectory ignored becomes a 41-year-old man with T at 560 wondering why he is not the man he was at 35 and getting told his bloodwork is fine. It is, in isolation. It is not, in trend.

The same is true of every other marker. SHBG climbing from 28 to 41 to 52 over six years is a trend even though it never crossed any clinical threshold. Vitamin D dropping from 58 to 41 to 32 over three winters is a trend. Fasting insulin climbing from 4 to 7 to 11 is a trend. None of these get flagged by a GP because no individual value triggers an alert. All of them matter.

This is the strongest case for self-ordered annual or semi-annual bloodwork. The trend data is the most useful information you will ever have about your own physiology. The first panel is a baseline. The third or fourth panel is a story. Stories beat snapshots for clinical decision-making every time.

What To Do With This Practically

If you are reading this with a recent panel in front of you and a doctor’s “everything looks fine” note, here is the practical sequence:

• Get the full panel I outlined in the complete male hormone panel article. The partial GP panel is not enough data to make a decision against.
• Compare each marker against the optimal range, not just the reference range. The gap between in-range and optimal is where the actionable physiology lives.
• Look at the pattern, not the individual numbers. SHBG of 65 plus TSH of 3.6 plus low free T is a thyroid-driven SHBG suppression pattern. SHBG of 18 plus insulin of 14 is a metabolic syndrome pattern. The patterns dictate protocol; the values alone do not.
• If your panel is more than 12 months old, run it again. Trend data is more useful than any single point.
• If you are about to begin any protocol intervention, get a clean baseline first. Two draws, two to three weeks apart, identical conditions. Treating noise as signal is the single most expensive mistake in self-directed hormone optimization.

The men who get the most out of natural hormone optimization are almost universally the ones who refused to accept “in range” as the same thing as “healthy.” Wesley would have been on Metformin within two years if he had accepted his GP’s assurance. Andre would have continued declining without correcting a vitamin D deficiency that his GP had explicitly flagged but not aggressively treated. Aaron would have continued feeling off for years, with his perfect-looking total T number sitting at the top of his lab report, while the actual problem was the SHBG and free T numbers his GP had not ordered.

The reference range is a population statistic. The optimal range is a physiological target. The hormone panel decoder framework is what bridges the two. The men I have worked with who internalize this distinction stop asking whether their numbers are normal. They start asking whether their numbers are where they need to be for the way they want to feel and perform. That is the question that opens the door to real optimization. The 12-week sequenced approach in Anabolic Alchemy is built around this distinction at every step – the targets are physiological, not statistical, and the protocol decisions are calibrated against the gap between where the panel sits now and where the panel would sit if the man were operating at the level his biology was built for.

If you are reading your bloodwork and your doctor has told you everything looks fine but you do not feel fine, the most useful thing you can do is stop trusting that the reference range knows your body. The reference range knows the average modern man. The average modern man is not well. You are not trying to be average. You are trying to be operating at your physiology’s actual potential, and the range that describes that is meaningfully different from the one printed on your lab report.