Back to @hormonedietdoc's profile

Dr. Jay Wrigley engagement report

@hormonedietdoc - 108K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.024%
of 108K followers
Per impression
0.746%
3.5K views on a typical post
Reach
3.22%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.143%
5 bookmarks on a typical post
Posting rate
1.5/day
active 23% of days
Peak time
17:00 UTC
Sunday

A typical post picks up 26 interactions against 108K followers, an engagement rate of 0.024%. Measured over 37 original posts, its engagement rate beats 30% of 21,185 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 3.5K times each, and 0.746% of those impressions turn into an interaction. That is about 3.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 37 posts sampled, 11% link out. The account's strongest tracked post pulled 733 interactions, about 28x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

Dr. Jay Wrigley's engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 34% 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 0.024%, Dr. Jay Wrigley sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 Sunday 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video3% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 3% 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.
  • 11% 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 669 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

  • Oct 7, 202628x their median

    Type 2 diabetes starts in your fat cells, but your blood glucose doesn't get meaningfully worse until the problem reaches your muscle. As fat cells grow too large, they become insulin resistant and pro-inflammatory, both of which promote insulin resistance throughout the body. For a while, the pancreas keeps up by making more insulin, and glucose looks normal. The trouble becomes more pronounced when the insulin resistance reaches your muscle. Muscle is where most of your blood glucose goes when insulin rises, so once muscle stops responding, glucose starts climbing. Protect your muscle as if your blood glucose depends on it! Ideally, lift two or three times a week (the signal) and prioritize protein and fat (the fuel).

    6098827925K viewsView on X
  • Oct 5, 20269.3x their median

    It's funny when certain accounts always reply with negativity to your posts, and you see them elsewhere, and everything they say is negative. So I guess, don't take it personally.

    2201010228K viewsView on X
  • Oct 9, 20268.7x their median

    One of the greatest nutritional mistakes of the last 60 years? Convincing people to fear the cholesterol in eggs and the saturated fat in red meat while steering them toward carbohydrate-heavy, highly processed foods. We demonized some of the most nutrient-dense foods on the planet while filling grocery stores with refined starches, sugars, and products marketed as “heart healthy.” Six decades later, we’re still paying the price. It wasn’t the eggs and steak we should have been so afraid of.

    169381913.9K viewsView on X
  • Oct 7, 20263.8x their median

    A woman in her early 40s does not automatically need estrogen because she’s entering perimenopause. Without clear evidence that estrogen is deficient or ovarian function is failing, simply adding estrogen may miss what’s actually changing first. For many women, progesterone is declining while estrogen production is still quite adequate—and sometimes highly erratic. That changes the conversation completely. Hormone therapy should address the hormonal pattern that actually exists, not simply the woman’s age. In early perimenopause, natural micronized progesterone may deserve much more attention than it gets.

    885507.2K viewsView on X
  • Oct 8, 20262.7x their median

    Every time I mention the FACT that my insulin and glucose get higher with a high fat diet it causes a storm... Here's how this works for those who can't wrap their head around this. First I have tell you that it doesn't matter whether the glucose comes from carbs, or gluconeogenesis. And genetics can and do make a difference to how much glucose is produced by the liver. Okay, let's go: Can a very high-fat diet increase insulin and glucose—even when carbs are low? Yes, it can. And there is a well-established physiological mechanism behind it. When fatty-acid availability is high, the body increases fat oxidation. Fat and glucose compete as fuels, and increased fatty-acid oxidation can reduce insulin-stimulated glucose uptake and glucose oxidation. This is part of what's known as the glucose–fatty acid cycle (Randle cycle). The result can be reduced insulin sensitivity. When insulin sensitivity falls, the pancreas may need to produce more insulin to keep blood glucose under control. If compensation isn't enough, glucose can rise as well. So: Low carb ≠ automatically low insulin. And: High fat ≠ metabolically neutral simply because it doesn't directly raise glucose like carbohydrate does. This doesn't mean dietary fat always causes insulin resistance. The response depends on the type and amount of fat, energy balance, metabolic state, tissue involved and individual physiology. But the idea that "carbs are the only thing that can cause high insulin" is simply not supported by the physiology. There's research going back decades showing that elevated fatty acids can interfere with insulin-stimulated glucose disposal and insulin signalling. The science: Randle et al. — The glucose fatty-acid cycle (1963) PubMed Free fatty acids and insulin resistance PubMed The Randle Cycle Revisited PubMed I'm particularly interested in this because my own glucose and insulin markers were better on a higher-carb, very-low-fat diet than when I pushed dietary fat much higher. That's why I think we need to stop treating "low carb" and "metabolically healthy" as automatically synonymous. Your individual response matters.

    47316410K viewsView on X
  • Oct 8, 20262.5x their median

    Menopausal brain fog is much more interesting physiologically than simply saying, “Your estrogen is low.” In many women, brain fog is the downstream effect of several overlapping metabolic, neurological, hormonal, and sleep-related changes. Here are six mechanisms worth looking at. 1. Impaired brain glucose metabolism Estrogen influences how the brain transports and utilizes glucose. During the menopause transition, changes in estrogen signaling can alter cerebral energy metabolism. The result can be reduced cognitive efficiency, particularly when a woman is already dealing with insulin resistance or metabolic dysfunction. What she notices: Difficulty concentrating, slower thinking, and trouble retrieving words. 2. Sleep fragmentation and loss of deep sleep A woman doesn't have to experience obvious insomnia to have poor-quality sleep. Nighttime hot flashes, increased sympathetic activity, and obstructive sleep apnea can disrupt restorative sleep. Even if she gets seven or eight hours, she may not be getting sufficient uninterrupted sleep to support memory consolidation and attention. What she notices: Waking up mentally exhausted despite spending enough time in bed. 3. Thyroid dysfunction Thyroid hormones influence cerebral energy metabolism, neurotransmitter function, and cognitive processing speed. Hypothyroidism can contribute to slowed thinking, poor concentration, and memory complaints. Thyroid disease also becomes more common with age. What she notices: Brain fog accompanied by fatigue, cold intolerance, constipation, or declining physical stamina. Importantly, these symptoms warrant thyroid evaluation rather than assuming a woman needs more thyroid hormone. 4. Chronic stress and HPA-axis dysregulation Persistent psychological or physiological stress can impair attention and working memory. Elevated or dysregulated cortisol signaling may affect hippocampal and prefrontal cortical function, particularly when accompanied by inadequate sleep. What she notices: She can remember things when relaxed but struggles to think clearly when overwhelmed. 5. Neuroinflammation and metabolic inflammation Obesity, insulin resistance, sleep disorders, and chronic inflammatory conditions can contribute to systemic inflammation. Inflammatory signaling may influence brain function, although directly attributing an individual woman's brain fog to neuroinflammation is difficult without stronger evidence. What she notices: Cognitive fatigue alongside other metabolic or inflammatory symptoms. 6. Nutrient deficiencies and impaired oxygen delivery Vitamin B12 deficiency, iron deficiency, and anemia can cause cognitive complaints that resemble menopausal brain fog. These issues are particularly important because they are potentially correctable and can coexist with menopause. What she notices: Poor focus, mental fatigue, forgetfulness, sometimes accompanied by weakness or reduced exercise tolerance.

    516815.2K viewsView on X
  • Oct 10, 20262.2x their median

    During perimenopause, progesterone often begins declining long before estrogen does. That changes the hormonal balance. Your body may become more prone to water retention, disrupted sleep, and changes in how it stores fat. Suddenly, the diet and exercise routine that worked for years doesn’t seem to work anymore. You’re not imagining it. Your hormonal landscape is changing. And your approach needs to change with it.

    491518.8K viewsView on X
  • Oct 8, 20262.1x their median

    One of the biggest mistakes I’ve watched people make in 30 years of clinical practice is trying to negotiate with a food their body has repeatedly told them is a problem. It might cause digestive distress, poor sleep, inflammation, cravings, or simply leave them feeling terrible. But they convince themselves: “I can have just a little.” “I’ll only eat it occasionally.” “I can manage this.” Here’s what I’ve learned. For some people, certain foods aren’t manageable through moderation. Once you start eating them, the cravings, symptoms, or cycle of overeating can become very difficult to stop. And every time you make an exception, you start the cycle all over again. Sometimes the answer isn’t better self-control. It’s complete elimination. Not because that food is bad for everyone. But because you’ve learned what it does to YOU. And there’s tremendous freedom in no longer negotiating with something that consistently makes you feel worse.

    491504.0K viewsView on X
  • Oct 5, 20262.0x their median

    Eating while lying in bed at night is a sure way to disrupt sleep, increase Insulin so you store those calories overnight and disrupt your Cortisol and circadian rhythm cycle. Stop doing that

    444213.5K viewsView on X
  • Oct 11, 20261.9x their median

    One of the cruelest ironies of getting older: At 25, you could eat pizza, drink wine, skip the gym, and stay thin. At 50, you’re eating salads, counting calories, walking every day, and somehow your waistline keeps expanding. And everyone seems convinced the answer is to follow their particular way of eating—even more strictly. But here’s what they’re missing: Your hormonal environment has changed. Your muscle mass may be declining. Your insulin sensitivity, sleep, and stress response may not be what they once were. You’re trying to solve a different metabolic problem with the same old advice. After 40, your body didn’t break. The rules changed.

    414328.0K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 26 interactions against 108K followers, an engagement rate of 0.024%. Measured over 37 original posts, its engagement rate beats 30% of 21,185 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 3.5K times each, and 0.746% of those impressions turn into an interaction. That is about 3.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 37 posts sampled, 11% link out. The account's strongest tracked post pulled 733 interactions, about 28x its own typical post.

What is Dr. Jay Wrigley's engagement rate on X?
Dr. Jay Wrigley (@hormonedietdoc) has an engagement rate of 0.024%, based on the median interactions across 37 original posts from the last 30 days against 108,266 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.024%, Dr. Jay Wrigley sits above the 10th percentile of the 212,567 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 @hormonedietdoc have real engagement?
Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 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 @hormonedietdoc post?
Most posts go out around 17:00 UTC, and Sunday is its busiest day, at roughly 1.5 posts per day across the measured window.

Keep going