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Kayla Barnes-Lentz engagement report

@femalelongevity - 494K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 494K followers
Per impression
0.313%
15K views on a typical post
Reach
3.22%
of its followers see a post
Typical post
48
interactions (median)
Saved
0.13%
20 bookmarks on a typical post
Posting rate
2.73/day
active 100% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 48 interactions against 494K followers, an engagement rate of 0.01%. Measured over 35 original posts, its engagement rate beats 34% of 20,182 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 15K times each, and 0.313% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 54% carry an image or video and 51% are part of a thread. The account's strongest tracked post pulled 310 interactions, about 6.5x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

Kayla Barnes-Lentz's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,182 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 22% 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 0.01%, Kayla Barnes-Lentz sits above the 10th percentile of the 202,259 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 Thursday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video54% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 54% 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.
  • 3% 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 637 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

  • May 20, 20266.5x their median

    Lots of new followers here, so I thought I would share what I have been working on for a decade+ and what I have learned about female health and longevity from publicly sharing the most data as a woman in the world.. (a Thread) https://t.co/KIMmxVKwVx

    27111271434K viewsView on X
  • Sep 3, 20263.6x their median

    Mast cells may be driving PMOS, endometriosis, lipedema and heavy periods. I sat down with one of the top MDs on mast cells, here’s what you should know. https://t.co/86qq31kCGW

    154145230K viewsView on X
  • Aug 28, 20263.6x their median

    Post podcast, early dinner, bioregulator and lab hangs with @AbudBakri. On the pod we discussed: - Sun / circadian rhythm - Metabolic health - EMFs / environmental toxins - Thymus and Thymus protocols - Thyroid health - Immune health - Red Light - Mitochondria - Peptides - New Endo peptide & more! Podcast coming soon!

    155910021K viewsView on X
  • Sep 17, 20263.2x their median

    The organ that starts aging first is the one nobody has ever mentioned to you. I sat down with Dr. Abud Bakri, MD @AbudBakri , to discuss immune health and the thymus, peptides and here are some of his top takeaways: https://t.co/bv0gQSY9P8

    1271211261K viewsView on X
  • Sep 2, 20263.0x their median

    I've been collecting the deepest dataset on a woman's biology for over a decade, and publishing it openly for over six years. Here's some of the testing that entails: - Aging: OrganAge (organ by organ), PhenoAge, DNA methylation clocks (GrimAge, DunedinPACE), skin biological age, telomere length - Cellular: mitochondrial function, oxidative stress (8-OHdG, glutathione, lipid peroxidation) - Immune: immune age, inflammatory markers (hs-CRP, IL-6), autoantibody panels - Hormones: full serum panels + urinary cycle hormones (LH, E3G, PdG, FSH) tracked every cycle, full thyroid panel with antibodies (TPO, TgAb) - Reproductive: ovarian age, ovarian reserve (AMH), full ovulation tracking, vaginal ultrasounds, MRI of endometrial thickness, luteal phase tracking, menstrual blood testing - Urogenital: vaginal pH, vaginal tissue health, pelvic floor function - Heart: coronary CTA + Cleerly for soft plaque, advanced lipids (ApoB, Lp(a), particle count), VO2 max, tracked across cycle phases - Vascular: central aortic blood pressure, arterial stiffness (augmentation index, augmentation pressure), pulse pressure amplification, SEVR - Lungs: spirometry (FEV1, FVC) - Brain: whole-body + advanced brain MRI, volumetric mapping, neurodegeneration blood markers - Sensory: retinal imaging (OCT) - Gut: colonoscopy, zonulin, short-chain fatty acids, inflammation - Microbiomes: gut, oral, vaginal - Metabolic: continuous glucose (I've worn a CGM for 8+ years), insulin, HOMA-IR, metabolomics - Body: segmental body composition, DEXA, grip strength, gait speed, sit-to-stand, balance, Vo2 max - Bone: bone mineral density - Skin: Yearly skin checks, skin biological age - Cancer screening: multi-cancer early detection, breast MRI + breast density, ultrasound, cervical/HPV, breast tear test, full body MRIs - Exposure: mold + mycotoxins, heavy metals, environmental toxins, my water, home professional testing, PFAS - Genetics: whole exome sequencing - Sleep: nightly architecture, HRV, body temperature for 8+ years - Nutrition: micronutrient testing, full iron studies (ferritin, transferrin saturation), metabolic rate Most longevity data is built on men. The female layer, cycle hormones, ovulation, ovarian aging, is what I've been tracking. I've collected over two billion data points. You can see the data and the Female Longevity Protocol I have developed in collaboration with leading female MDs and PhDs. It's the first and only public library of protocols for women. I am not doing this to live forever, or to sell you something. I am doing this to optimize my health, feel better for today and my future family, and in a small, but I hope, meaningful way, contribute to some of the gaps in female health. While also helping elevate the incredible scientists, medical doctors, and labs that are and have been doing important work to understand and optimize our female bodies. This is a group effort, no one can do it alone. If you're a woman please browse my free protocols!

    1191115137K viewsView on X
  • Sep 4, 20262.5x their median

    Women with low vitamin D have higher risk of autoimmune issues, depression, and early aging. Test your levels...don't guess.

    94812420K viewsView on X
  • Sep 23, 20261.6x their median

    Today is my husband and I’s third year anniversary. Since I’m relatively new to being active on X I haven’t shared our story. We are the original longevity couple. I sent him 8 advanced lab tests before our first date. Including genetic testing, micro biome testing, total toxic burden testing over 200 longevity lab markers, micronutrient testing and more. Our first date was in a multiperson Hyperbaric oxygen chamber at my longevity medicine clinic that I owned at the time. He then did an ozone sauna session and if you’ve ever been in an ozone sauna, you know it takes love to withstand that. We met and were married within four months. At our wedding reception, everything we served was grass fed and grass finished. We had organic bone broth, and a no sugar wedding cake. But our relationship is so much more than health. Yes of course my husband is healthy and he was excited about my antics. (also when he saw my refrigerator for the first time, it was filled with peptides, syringes and mineral water.) he also observed that while I had almost no furniture I had many “health robots” in my apartment. But my husband also loves me like Christ loves the Church. He is the most generous, kind yet strong, inspiring person I’ve ever met. He’s showed me what love is supposed to look like, he makes me feel safe, he protects me, he makes me a better version of myself (and he also eats dinner at 2 pm with me and goes to bed at 8 🙂‍↔️) In addition to achieving great health, my hope for all of you is that you find your person, the one that truly loves you, the one that is eases your nervous system, and the one that you can cherish forever. Photos: one of the many pieces of Press that have been put out on our relationship and committed to health together, a wedding photo, our first date in HBOT, us on our honeymoon 🤍

    63312112K viewsView on X
  • Sep 16, 20261.6x their median

    EIGHT SLEEP is pretty popular in the wellness world, but we avoided getting one for many years out of concern for “sleeping on an emf” When I lived in LA, we actually slept on a Faraday cage because of all the Wi-Fi signals so close to our house. But I finally got an @eightsleep, and of course, as the most publicly measured woman in the world, I tested it. Here's a video on my findings (I had this professionally tested, my own in-home testing, and it matches the EIGHT SLEEP testing.) Good work @m_franceschetti

    61411221K viewsView on X
  • Sep 21, 20261.5x their median

    How I avoid autoimmunity, even with a genetic predisposition + my protocol that reversed my thyroid antibodies.. 80% of people diagnosed with autoimmune diseases are women, with Hashimoto’s thyroiditis among the most common. I’m 35, female, and genetically predisposed to autoimmunity. I also have selective IgA deficiency, a primary immunodeficiency associated with increased autoimmune risk, so I basically have the highest risk overall. As the most measured woman in the world for the last 6 years, with over a decade of comprehensive labs, I’ve seen my TPO antibodies climb on 3 separate occasions. Every time, the same pattern: - My gut health worsened. - My thyroid antibodies rose. -As my gut health improved, those antibodies fell again. My highest reading was 24. My lab’s cutoff was 35. Still within range, but a change from my baseline. I’ve been catching these changes early, not reversing a diagnosed autoimmune condition. That’s the point of all the testing I do. My goal is to notice meaningful shifts early so I can investigate and act when appropriate. I advise adding TPO antibodies to every thyroid evaluation.

    6039113K viewsView on X
  • Aug 29, 20261.5x their median

    Why everyone feels like crap: - Addicted to your phone - Eats processed foods often - Goes to bed late to stay up watching TV - Rarely moves and going from the couch to the refrigerator doesn’t count - Is disconnected from nature and the sun - Can’t sit alone with their thoughts for 10 minutes - Can’t “find the time” to exercise - Orders takeout packaged in microplastics (eats microplastics all day) - Drinks microplastics all day (bottled water, tap water, soda) - Spends more time on social media than with people - Indulges in substances often (vape, weed, alcohol etc) And we really wonder why everyone feels awful? Start small, but just start doing something. Go on a walk right now, watch the sunset, go to bed early.

    6227120K 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 48 interactions against 494K followers, an engagement rate of 0.01%. Measured over 35 original posts, its engagement rate beats 34% of 20,182 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 15K times each, and 0.313% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 54% carry an image or video and 51% are part of a thread. The account's strongest tracked post pulled 310 interactions, about 6.5x its own typical post.

What is Kayla Barnes-Lentz's engagement rate on X?
Kayla Barnes-Lentz (@femalelongevity) has an engagement rate of 0.01%, based on the median interactions across 35 original posts from the last 30 days against 493,650 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Kayla Barnes-Lentz sits above the 10th percentile of the 202,259 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 @femalelongevity have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,182 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 @femalelongevity post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 2.73 posts per day across the measured window.

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