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Mark Hyman, M.D. engagement report

@drmarkhyman - 1.5M followers on X

Measured over 22 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.022%
of 1.5M followers
Per impression
1.27%
26K views on a typical post
Reach
1.76%
of its followers see a post
Typical post
334
interactions (median)
Saved
0.376%
99 bookmarks on a typical post
Posting rate
0.8/day
active 63% of days
Peak time
23:00 UTC
Wednesday

A typical post picks up 334 interactions against 1.5M followers, an engagement rate of 0.022%. Measured over 22 original posts, its engagement rate beats 46% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 26K times each, and 1.27% of those impressions turn into an interaction. That is about 1.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 23:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 82% carry an image or video and 23% link out. The account's strongest tracked post pulled 33K interactions, about 98x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Mark Hyman, M.D.'s engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 54% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.022%, Mark Hyman, M.D. sits above the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 23:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video82% of posts+111%+108% to +115%34K
Outbound link23% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 82% 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.
  • 23% 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 751 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

  • Sep 21, 202698x their median

    A 12 year old boy walks into my office having already seen a psychiatrist, an allergist, a lung doctor, maybe a GI doctor. Seven different drugs by age 12. Kicked out of kindergarten for being disruptive. Diagnosed with ADHD and put on stimulant medication for years. Nobody connected the dots. He also had asthma, headaches, stomachaches, insomnia. Each doctor treated their one piece and ignored the rest. I did a full workup instead of writing another prescription. His gut microbiome was a mess. Leaky gut. Elevated gluten antibodies. Reacting to dairy. Fungal overgrowth. Low zinc, low magnesium, low B6, low folate, low omega 3s. Lead toxicity. He ate only processed food. Never a vegetable in his life. So we removed the gluten, dairy, sugar and processed food. Rebuilt his microbiome with probiotics. Treated the fungal overgrowth. Chelated the lead. Corrected the nutrient deficiencies with magnesium, zinc, fish oil. Two months later his mother brought him back. No more symptoms. No more meds. No more behavioral issues. And his handwriting went from illegible to perfect penmanship. Same kid, same brain, two months apart. That handwriting change is what made me write The UltraMind Solution. A brain that chaotic and disorganized became coherent and synchronized once we fixed what was happening in his body. The writing on the page was just a reflection of what was happening in his gut. ADHD is not a brain problem. It's a systemic problem that shows up in the brain. If your kid's brain isn't working right, don't just look north of the neck. Look at what's happening south of the border first.

    26K6.4K5533741.1M viewsView on X
  • Jul 6, 202647x their median

    Do not eat these. Discard immediately if you recognize any of these in yours or a loved one’s kitchen, it’s the easiest act of love you can do for them today. A French study in PLOS Medicine examined the impact of emulsifiers (food additives used to improve texture and extend shelf life) on cancer risk. Researchers analyzed data from 92,000 adults over nearly 7 years and found that certain emulsifiers significantly increased cancer risk: Mono & diglycerides of fatty acids (E471)—found in processed baked goods, margarine, and ice cream—were linked to: 15% higher risk of overall cancer 24% higher risk of breast cancer 46% higher risk of prostate cancer Carrageenan (E407 & E407a)—a thickening agent in dairy alternatives, deli meats, and plant-based products—was linked to: 32% higher risk of breast cancer. Cancer is complex and multifactorial, but one thing is certain: the food we eat plays a massive role in shaping our long-term health. Cutting out ultra-processed foods and focusing on whole, nutrient-dense foods is one of the most powerful steps you can take to reduce disease risk. Thank you to my friend Vani Hari for this image + bringing awareness to this critical issue.

    11K2.8K5351631.5M viewsView on X
  • Jun 18, 202622x their median

    I'm a cardiologist. Something just happened today that I genuinely did not see coming — and it could change the future of preventive medicine more than anything I've written about on this platform. Midjourney — the AI company that became famous for generating images from text prompts — just announced a medical hardware division and unveiled a working prototype of a full-body scanner unlike anything that's ever existed. It's called the Midjourney Scanner. And it works like this. You step into a shallow pool of water. You stand on a platform that slowly descends — about two inches per second — through a ring containing roughly half a million tiny ultrasonic transducers, each the size of a grain of sand. Every one of them acts as both a speaker and a microphone, sending ultrasonic waves through your body from every angle and recording what comes back. 60 seconds later, you step out. The scan is done. No radiation. No magnets. No claustrophobia. No IV contrast. Just sound, water, and an almost incomprehensible amount of computing power — roughly 2 petaflops processing 17 gigabytes per second of raw acoustic data — reconstructing a 3D map of your entire internal anatomy down to half a millimeter resolution. Organs. Tissues. Blood vessels. Bones. Muscle. Fat distribution. All segmented by AI in real time. As a cardiologist who has spent months writing about how the standard screening playbook misses the majority of future heart attacks — this is the technology I've been waiting for without knowing it existed. Here's why this matters for the future of your heart. Right now, getting a detailed look inside your cardiovascular system requires either a CT scan (radiation), an MRI (magnets, claustrophobia, 45-60 minutes, $1,000+), or a coronary CT angiogram (radiation, IV contrast, limited availability). These are powerful tools. I order them regularly and they save lives. But they're reactive. You get them when something is already suspected. They're expensive. They're uncomfortable. And for most people, they happen once — maybe twice — in a lifetime. Imagine instead: a 60-second scan with no radiation that you could repeat monthly or quarterly. Tracking cardiac structure over time. Watching body composition shift. Detecting changes in organ size, fluid distribution, or vascular architecture before symptoms ever develop. Building a longitudinal dataset of YOUR body that AI can analyze for patterns no single snapshot would reveal. That's what Midjourney is building toward. The company plans 50,000 scanners worldwide over six years, with capacity for a billion scans per month. The first location — the "Midjourney Spa" in San Francisco — opens at the end of 2027 with 10 scanners alongside saunas, cold plunges, and a gym. The scan costs a few dollars. The experience is designed to feel like wellness, not medicine. The technology is built on Butterfly Network's ultrasound-on-chip platform — 40 modules per scanner — combined with Midjourney's own AI segmentation and reconstruction stack. David Holz, the founder, claims the system aims for image quality comparable to MRI in many aspects but at nearly 100x the speed with zero radiation. Now the caveats — because I'm a physician and the caveats matter enormously. This is a Gen 1 prototype. About a dozen people have been scanned so far. Current scan time is actually closer to 20 minutes, not 60 seconds — the system is bottlenecked by bandwidth and reconstruction algorithms. The 60-second target is aspirational for future hardware generations. It is not FDA-cleared for diagnostic use. Midjourney is starting with body composition maps — a category below diagnostic imaging in the regulatory hierarchy. The path from "beautiful 3D body scans" to "clinically validated diagnostic tool that your cardiologist can act on" runs through years of clinical trials, comparative studies against MRI and CT gold standards, and FDA review. No independent clinical validation has been published. The imaging claims come from Midjourney's own demonstrations. Comparative data against established modalities does not yet exist. And the privacy implications of full-body internal scans at planetary scale — a billion scans per month — is a conversation that hasn't even started yet. So I want to be precise. This is not ready for clinical medicine today. It may not be ready for years. Many ambitious medical hardware projects have failed in the gap between prototype and product. But. The fact that a working prototype exists — producing real segmented 3D anatomy from sound waves and compute alone — means the physics works. The engineering works. The question is no longer "is this possible" but "how fast can it be validated and scaled." And if it is validated — if the resolution holds up against MRI, if the AI segmentation proves reliable, if the regulatory path clears — then what we're looking at is the most significant new imaging modality in 50 years. For my entire career, preventive cardiology has been limited by the fact that seeing inside the body is expensive, slow, uncomfortable, and infrequent. We catch disease late because we image rarely. We image rarely because imaging is hard. A 60-second, no-radiation, spa-based full-body scan that costs a few dollars would demolish every one of those barriers. I've written about AI detecting inflamed arteries. About gene editing curing cholesterol. About GLP-1 drugs rewriting metabolic medicine. About cellular reprogramming reversing aging. This is the missing piece: the ability to see inside every human body, routinely, safely, and affordably — so all of those interventions can be deployed before the disease arrives instead of after. The company that taught AI to generate images from imagination just built a machine that generates images from the human body. The future of medicine showed up today from the last place anyone expected.

    9.6K1.5K3432491.8M viewsView on X
  • Sep 27, 202629x their median

    Cook at home more. Cook to know what's in your food. Cook to slow down. Cook for the people you love. Cook to save money. Cook to eat real ingredients. Cook to break up with the food industry. Your kitchen is the most powerful pharmacy you have.

    8.1K1.5K163127210K viewsView on X
  • Oct 4, 202618x their median

    The human body is remarkably forgiving. Give it real food, movement, rest, and time, and it will keep trying to find its way back toward health.

    5.4K535651692K viewsView on X
  • Jun 19, 202624x their median

    A recent study found that doing 10 bodyweight squats every 45 minutes during an 8.5-hour period of sitting, is more effective for blood sugar regulation than a single 30-minute walk.

    5.1K3796120366K viewsView on X
  • Jul 6, 202613x their median

    Most people say, “I ate that growing up, and I turned out fine.” But here’s the thing... The food you grew up eating often isn’t the same food on grocery store shelves today. Over the last several decades, many everyday foods have quietly changed. Simple ingredient lists have been replaced with cheaper sweeteners, emulsifiers, preservatives, artificial flavors, and other ultra-processed ingredients designed to maximize shelf life—not your health. Food isn’t just fuel. It’s information that influences your metabolism, your gut microbiome, your hormones, your immune system, and even your brain. Reading labels is one of the simplest—and most powerful—steps you can take to protect your health.

    3.0K7539246166K viewsView on X
  • Aug 12, 20264.7x their median

    Why are children offered ultra-processed food at school and then blamed for struggling to focus?

    1.3K125872047K viewsView on X
  • Aug 11, 20264.4x their median

    The goal is not to look healthy. The goal is to wake up with energy. Think clearly. Move without pain. Feel at home in your body. And have the strength to fully live your life.

    1.3K124671044K viewsView on X
  • Jun 19, 20265.5x their median

    https://t.co/SQPwgiCP9B

    1.1K1132742779K viewsView on X

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 334 interactions against 1.5M followers, an engagement rate of 0.022%. Measured over 22 original posts, its engagement rate beats 46% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 26K times each, and 1.27% of those impressions turn into an interaction. That is about 1.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 23:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 82% carry an image or video and 23% link out. The account's strongest tracked post pulled 33K interactions, about 98x its own typical post.

What is Mark Hyman, M.D.'s engagement rate on X?
Mark Hyman, M.D. (@drmarkhyman) has an engagement rate of 0.022%, based on the median interactions across 22 original posts from the last 30 days against 1,495,070 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.022%, Mark Hyman, M.D. sits above the 10th percentile of the 204,491 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 @drmarkhyman have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @drmarkhyman post?
Most posts go out around 23:00 UTC, and Wednesday is its busiest day, at roughly 0.8 posts per day across the measured window.

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