Layne Norton, PhD engagement report
@BioLayne - 233K followers on X
Measured over 9 original posts from a 30-day window, last computed on September 11, 2026.
Engagement
A typical post picks up 635 interactions against 233K followers, an engagement rate of 0.273%. Posts are seen about 79K times each, and 0.804% of those impressions turn into an interaction. That is about 33.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 6.7K interactions, about 11x its own typical post.
Measured over 9 original posts from a 30-day window, last computed on September 11, 2026.
Where this sits in the catalog
At 0.273%, Layne Norton, PhD sits above the 50th percentile of the 72,347 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.501%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.017% |
| 50th percentile | 0.1% |
| 75th percentile | 0.501% |
| 90th percentile | 2.08% |
| 99th percentile | 109.8% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 14:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 33% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 447 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Jul 8, 202611x their median
My plan to cure autoimmune gastritis To our knowledge, no one has ever done this to try and cure an autoimmune disease. Context: In May, I got diagnosed with autoimmune gastritis (AIG). We found it by taking a tissue biopsy of my stomach. My immune cells are confused, causing my stomach to eat itself. AIG stops your body from absorbing nutrients like iron and B12, and can eventually lead to cancer. It likely started decades ago when I was diagnosed with hypothyroidism when 21 years old. The thyroid and stomach are closely linked in your immune system. I feel fortunate that I've been taking such good care of my body for the past five years as my condition would otherwise be much more severe. Millions of people are affected by this disease and are undiagnosed. Standard of care tells you that you can’t do anything about it. That’s old fashioned. Here is how we are going to try and cure it: Step 0: find and diagnose the disease ✅ AIG is rarely caught early because symptoms are subtle. Early warnings are low iron and B12, but when hemoglobin and hematocrit look normal, doctors routinely miss it because there are no obvious signs of anemia. A standard colonoscopy won't find it either, because it only checks the lower digestive tract, not the stomach. It was only through a highly targeted stomach biopsy that we found it. Even biopsies can miss it if they don't sample the exact right spots. Most people with AIG go undiagnosed. Step 1: Map my immune system ✅ Last Thursday, I had a blood draw to isolate and decode 1 million of my immune cells. Think of your immune cells as trillions of soldiers. Each carries a unique key designed to unlock and destroy a specific threat, like a virus or bacteria. A standard blood test allows you to see how many soldiers you have, but not their keys. Sequencing one million individual immune cells allows us to read the exact pattern of the teeth on every single key. This is important for my autoimmune gastritis (AIG) because a specific platoon of rogue soldiers has developed keys that unlock an attack on my stomach lining. Right now, we don’t know who they are. This test will inform us of which soldiers have gone rogue and are attacking me from within. Once we know the soldier and key, we know what therapy path to pursue to shut them down. Step 2: Catch the rogue soldiers I will be getting a second biopsy from my stomach because we need to collect live tissue. We are currently planning out the logistics of getting the sample from my stomach to the lab. We need these live cells because the initial blood tests showed the antibodies, which prove that an attack is happening, but doesn’t show us the actual rogue soldier doing the damage which is a T-cell. The live sample will allow us to match the immune system mapping we did to the live T-cells. Step 3: Build an early warning system To keep an eye on the disease as we work towards a therapy, we’re building an early warning system. I'll have my blood drawn every two weeks and we’ll pair that information with wearable data to look for flare ups. This is important because the attack happens without producing symptoms that I can easily feel. Step 4: Create a “Bryan in a dish” testing model, a miniature of my immune system At the same time, we are taking a massive sample of my immune cells and deep freezing them (cryopreservation) for two reasons: a) we’ll create a living lab: using these cells to replicate my immune environment in a lab dish. This allows us to test experimental drugs and therapies on my actual live cells before putting them into my body. b) it creates a back up plan for me by preserving the raw cellular material needed for targeted rejuvenation therapies in the future. Step 5: Build precision guided therapies to end the attack Once we know who the rogue soldiers are, we will engineer a therapy designed uniquely for them. The trick is only turning off the rogue soldiers while leaving all the other healthy ones functioning as they are. For safety checks, we’ll do two test runs: 1) we’ll run the therapy through a computer model that has my biology to evaluate how my molecules interact. 2) We will take my actual cells that we froze in Step 4 and watch them interact for real. If both are successful, we’ll pursue one of four therapies: a) fix the mistake my cells are making, restoring my immune system's natural off switches b) teach the rogue cells to tolerate my stomach instead of attacking it c) design smart molecules that physically plug into the rogue cells and turn them off d) build soldiers who will track down and eliminate the rogue soldiers causing the damage
- Aug 14, 20267.1x their median
Dana White was told he would need blood-pressure meds for the rest of his life. 21 weeks later he was off every single one. Gary Brecka found elevated homocysteine irritating the lining of his blood vessels and causing them to constrict. A simple amino acid called TMG (trimethylglycine) cleared the excess, the vessels relaxed, and the pressure returned to normal. Homocysteine is a well-documented cardiovascular risk factor and TMG reliably lowers it in studies. Direct proof that this single step reverses hypertension for most people is still limited to case reports and smaller trials. Most primary hypertension is labeled idiopathic. Family history then gets used to call it genetic even though no single gene causes it. The label often ends the investigation. I keep noticing how many people accept “we don’t know why” as the final answer. Sometimes the cause is measurable and worth checking before accepting a lifelong prescription.
- Jul 11, 20266.7x their median
Just telling people they slept poorly led to impaired cognitive function. Telling them they slept fine preserved it. https://t.co/g0jnNm8UT3
- Jul 27, 20264.0x their median
Dr. Jack Kruse says bodybuilders die decades earlier than the average person. His friend Charles Poliquin is proof. • World-class physique • Looked like a Greek statue • One of the most famous strength coaches alive Kruse told him repeatedly he was going to die before 60. He died of a heart attack at 58. Kruse says the pattern is everywhere: • NFL players die early. • Professional wrestlers die early • Gorillas die 20-30 years earlier than hhumans They all look jacked. They all die young. Kruse says the reason is physics. Energy cannot be created or destroyed. When you pack mitochondria into muscle, you are stealing that energy from your brain and heart—the two organs that actually determine how long you live. He points to Kleiber's law. Every mammal on Earth gets the same number of heartbeats in a lifetime. Gorillas have far more muscle than humans. They also die 20-30 years sooner. Nature chose brain over muscle for longevity. "Go find me anybody who's 85 years old that looks like that. You're going to find like not a lot of people." The longest-lived humans on Earth are small people with belly fat. Not bodybuilders. "Where you bury your mitochondrial density is the key." — Dr. Jack Kruse (@DrJackKruse) on the Danny Jones (@JonesDanny) podcast PS: If interested in content like this, follow me as I continue sharing unconventional health insights you won't find anywhere else on X.
- Aug 1, 20263.2x their median
The yolk color of an egg tells you almost everything you need to know about its nutritional value. A pale yellow yolk comes from a hen eating corn and soy in confinement with no access to sunlight or natural foraging. A deep orange yolk comes from a hen eating grass, insects, and spending real time outdoors. That color difference represents: - 4x more Vitamin D - 2x the omega-3 fatty acids - More Vitamin E, beta-carotene, and choline - A significantly better fatty acid profile overall Find pasture-raised eggs with a Certified Humane seal. The yolk will confirm immediately whether you found the real thing.
- Aug 3, 20262.5x their median
Sage and I traveled to Switzerland to undergo blood filtration and I wanted to share it with you guys. The procedure itself was completely painless, and every step was monitored with an EEG, heart monitor, and continuous blood pressure tracking. What fascinated me most was seeing my blood before and after the treatment. Before, many of my red blood cells were stacked together in what's called rouleaux formation, which is commonly seen in venous blood. After the filtration, they appeared much more separated, giving each cell more surface area to exchange oxygen, remove waste, and interact with its environment. It's important to remember that looking at blood under a microscope isn't a standalone diagnostic tool, and you can't judge your overall health from a single image alone. But seeing the changes firsthand was an incredible experience and sparked some fascinating conversations about blood health, circulation, and recovery. Would you ever try something like this?
- Sep 8, 20261.9x their median
Nobody got healthier by cutting down on FATS. Nobody got healthier by cutting down on PROTEIN. Nobody got healthier by cutting down on salt. Everybody gets healthier by cutting down on CARBOHYDRATES.
- Sep 9, 2026
Your tendons adapt to training stress ten times more slowly than your muscles do. This is the primary reason injury rates spike in people who progress their training load too quickly. The muscle is ready. The tendon is not. How to protect your tendons: - Increase training load by no more than 10% per week - Slow the eccentric phase to 3 seconds on every rep - Include isometric holds once per week which specifically load tendon tissue - Sleep 7 to 9 hours, which is when connective tissue repairs itself
- Sep 7, 2026
Belly fat that won't budge = Cortisol 3AM urge to pee = Cortisol Puffy face = Cortisol No libido = Cortisol Here are 8 hacks to rebalance your cortisol🧵 1. Sauna 5 nights/week (here's what Rhonda Patrick says): https://t.co/4oEc5UXA2n
- Jun 17, 2026
My morning routine before I work out is non-negotiable. Before I touch a weight or step on the mat, I do the same thing every single morning: at least 16oz of water with a hydrogen tablet (a powerful antioxidant that helps neutralize free radicals first thing in the morning) a handful of macadamia nuts, and my supplements. When you wake up, you’re already dehydrated. You’ve just gone 7-8 hours without water, and your cells are depleted of the minerals they need to actually function. Drinking plain water sometimes isn’t enough. With sodium, magnesium, and potassium, water can fully cross the cell membrane and get inside where it’s needed. That’s intracellular hydration — and it’s the difference between feeling sharp and feeling foggy, between a strong workout and a sluggish one. The macadamia nuts give me the protein and healthy fats I need to stabilize blood sugar before I move. And my supplements (tailored specifically to my body and what it needs) work significantly better when I’m properly hydrated. By the time I’m ready to train, my body is actually primed to perform! Your morning routine is either working for you or against you. Make hydration the first thing you do, and make sure it counts. 🙂
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 635 interactions against 233K followers, an engagement rate of 0.273%. Posts are seen about 79K times each, and 0.804% of those impressions turn into an interaction. That is about 33.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 6.7K interactions, about 11x its own typical post.
- What is Layne Norton, PhD's engagement rate on X?
- Layne Norton, PhD (@BioLayne) has an engagement rate of 0.273%, based on the median interactions across 9 original posts from the last 30 days against 232,655 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.273%, Layne Norton, PhD sits above the 50th percentile of the 72,347 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @BioLayne have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @BioLayne post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.7 posts per day across the measured window.