Calley Means engagement report
@calleymeans - 308K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 16, 2026.
Engagement
A typical post picks up 850 interactions against 308K followers, an engagement rate of 0.277%. Measured over 8 original posts, its engagement rate beats 77% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 28K times each, and 3.09% of those impressions turn into an interaction. That is about 8.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 31K interactions, about 36x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on October 16, 2026.
Compared with accounts its own size
Calley Means's engagement rate beats 77% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 75% 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 0.277%, Calley Means sits above the 50th percentile of the 204,583 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 17:00 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 50% 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 954 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
- Jan 9, 202436x their median
In a burst of energy before she died, my mom urged us to take her to where she'd be buried. Cupping my dad's face, she talked about how magical their life was together. It was the most profound moment of my life, and it wouldn't have happened if we listened to her doctors. Just 13 days before, in January 2021, my mom was apparently healthy. She felt a pain in her stomach during her morning hike and got a scan. Stage 4 pancreatic cancer. She called me and said she wouldn’t meet her future grandchildren. The family rushed to her side. My sister @DrCaseysKitchen and I learned three things over those next 13 days... Lessons that we think provide an explanation - and solutions - for the largest issue our country faces: the fact that we are getting sicker, fatter, more depressed, and more infertile at an increasing rate while bankrupting our country with healthcare costs. The first was that the predominant incentive in medicine is to intervene after you get sick. Right after my mom's unexpected cancer diagnosis, a medical team out of Stanford and Palo Alto Medical Foundation jumped to action, recommending a laundry list of surgeries and procedures—biopsies, blood transfusions, and a liver stent. In most cases, the patient would have agreed to these procedures, and the meeting would wrap up quickly. These recommendations were coming from some of the most prestigious institutions in the world, after all. But based on my sister's experience in medicine (Stanford MD and surgical residency), she started asking questions. We learned that these procedures had about a 33 percent chance of extending her life a few more months at most, a 33 percent chance of shortening her life span, and a 33 percent chance of not impacting her life span (yet keeping her away from the family). In all cases, the invasive route would mean that my mom would need to sit in a hospital room alone, because of Covid-19 protocols, and potentially longer if the surgery had complications, as they often do with immunocompromised cancer patients. My mom made it clear to the oncologist that she was not afraid of her rapidly impending death, but she wanted to minimize unnecessary pain or nausea in her final days. Despite being clear, the system pushed the exact procedures that would yield pain and nausea and aggressively shamed our family for questioning the full-court press approach. Thank God we had my sister - who had routinely seen doctors push unnecessary surgeries to terminally ill patients during her training - who had the wherewithal to push back. In 99.9% of cases, my mom would have died alone in a hospital room and we would have missed the life-changing final days with her. The second lesson was that my mom's cancer was not "random." Her oncologists said it was "bad luck." It wasn't. In the decades leading up to my mom’s cancer diagnosis, she was informed her rising cholesterol, waistline, fasting glucose, and blood pressure levels were conditions that she could “manage” for life with a pill. But instead of isolated conditions, all of the symptoms my mom experienced leading to her death were warning signs of the same thing: dysregulation in how her cells were producing and using energy. But through decades of symptoms, my mom—and most other adults in the modern world—are simply prescribed pills and not set on a path of curiosity about how these conditions are connected and how the root cause can be reversed. The third lesson was that there is a better way than our current system, and it starts with understanding that the biggest lie in health care is that the root cause of why we’re getting sicker, heavier, more depressed, and more infertile is complicated. Depression, anxiety, acne, infertility, insomnia, heart disease, erectile dysfunction, type 2 diabetes, Alzheimer’s dementia, cancer, and most other conditions that torture and shorten our lives are actually rooted in the same thing. And the ability to prevent and reverse these conditions—and feel incredible today—is under your control and simpler than you think. After leaving traditional medicine and working with patients to understand their biomarkers and take simple root causes actions - my sister routinely saw quick reversals of formerly intractable conditions. The siloing and medicalization of chronic disease in the past fifty years has been an abject failure. Today, we’ve siloed diseases and have a treatment for everything: ✅High cholesterol? See a cardiologist for a statin. ✅High fasting glucose? See an endocrinologist for metformin. ✅Depressed? See a psychiatrist for a selective serotonin reuptake inhibitor (SSRI). ✅Can’t sleep? See a sleep specialist for Ambien. ✅PCOS? See an ob-gyn for clomiphene. ✅Erectile dysfunction? See a urologist for Viagra. ✅Sinus infections? See an ENT for an antibiotic or surgery. But what nobody talks about—what I think many doctors don’t even realize—is that the rates of most of these conditions are going up at the exact time we are spending trillions of dollars to “treat them.” In the face of these unprecedented trends happening to our brains and bodies across our life span—which all have metabolic dysfunction as a root—we are told to “trust the science.” This obviously doesn’t make sense. We have been gaslighted to not ask questions over the past fifty years at the exact time chronic disease rates have exploded. The truth: we should consider listening to the medical system if we have an acute issue like a life-threatening infection or broken bone. But when it comes to the chronic conditions that plague our lives, we should distrust almost every institution giving the advice. The answers are much more simple and under our control. ___ In the days following my mom's death, my sister and I affirmed to devote our lives to changing these broken health incentives. And Casey expressed a passion to write a book with lessons she's learned working inside and outside the medical system. I have helped her write this book over the past several years and it will be coming out in May. A lot of issues will be discussed as we enter 2024, but the most important is that our human capital in America (particularly kids) is being decimated by preventable and reversible metabolic conditions. Thank you @bariweiss @TheFP for publishing an excerpt.
- Aug 20, 202634x their median
It only took 19 months for RFK Jr to turn the once safe US food supply into a game of gastrointestinal Russian Roulette.
- Sep 1, 202614x their median
RFK has won. There will never be a day where mothers ask less questions about the pharmaceutical products they put in their children’s bodies. And that’s a good thing.
- Aug 24, 202612x their median
Soda purchases have gone down 18% in states that have implemented SNAP restrictions. This is great news that will save lives. A government soda subsidy was antagonistic to the free market.
- Sep 17, 20265.9x their median
The largest makers of vaccines have settled over $10 billion in criminal penalties over the past decade for falsifying data and lying to patients. Every pharmaceutical product should be scrutinized.
- Sep 1, 20265.7x their median
American death rates reached a record low in 2025. After a decade of decline, 2025 saw the highest life expectancy increase ever. Obesity is declining for the first time in modern history. Pharmaceutical prices saw largest decline ever. This is the direct legacy of RFK.
- Aug 23, 20265.5x their median
The media hates you. Reminder that: ➡️0 Americans have died of measles this year. 300/year before the invention of vaccine. ➡️1,000,000 preventable deaths will occur this year from chronic disease, RFK’s focus. ➡️Real food purchases increased this year at a record rate. Americans are buying less ultraprocessed food. ➡️The FDA is on track for less food recalls than any point in last 10 years. ➡️Obesity is declining for the first time in modern history.
- Sep 17, 20265.4x their median
In the past two years, the media launched one of the most aggressive bullying campaigns in history to intimidate @SecKennedy to stop aknowleging concerns mothers have about vaccine injury. It didn’t work.
- Aug 31, 20264.4x their median
A limb is amputated every three minutes in America because of diabetes. RFK has woken up the country to this chronic disease crisis. But the Democratic public health platform going into the mid-terms is to abjectly lie about measles deaths to scare people.
- Aug 24, 20264.3x their median
Going into the mid-terms, the Dem attack lines on RFK are: Measles (Fact: 0 deaths this year, US is handling the Fauci outbreak better than any other country) Food Recalls (Fact: the U.S. is on track for less recalls this year than any time in past decade) RFK has won.
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 850 interactions against 308K followers, an engagement rate of 0.277%. Measured over 8 original posts, its engagement rate beats 77% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 28K times each, and 3.09% of those impressions turn into an interaction. That is about 8.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 31K interactions, about 36x its own typical post.
- What is Calley Means's engagement rate on X?
- Calley Means (@calleymeans) has an engagement rate of 0.277%, based on the median interactions across 8 original posts from the last 30 days against 308,190 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.277%, Calley Means sits above the 50th percentile of the 204,583 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 @calleymeans have real engagement?
- Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @calleymeans post?
- Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 0.47 posts per day across the measured window.