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Stephan J. Guyenet engagement report

@sguyenet - 1.2M followers on X

Measured over 1 original post from a 30-day window, last computed on October 28, 2026.

Engagement

Per follower
0.004%
of 1.2M followers
Per impression
0.392%
12K views on a typical post
Reach
1.05%
of its followers see a post
Typical post
49
interactions (median)
Saved
0.08%
10 bookmarks on a typical post
Posting rate
0.07/day
active 3% of days
Peak time
04:00 UTC
Saturday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 49 interactions against 1.2M followers, an engagement rate of 0.004%. Posts are seen about 12K times each, and 0.392% of those impressions turn into an interaction. That is about 1.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 04:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 90K interactions, about 1846x its own typical post. Recurring topics include #hiv, #pepfar. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 28, 2026. Recurring tags: #hiv, #pepfar.

Where this sits in the catalog

At 0.004%, Stephan J. Guyenet sits above the 10th percentile of the 212,270 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%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 04:00 UTC, and Saturday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 294 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 13, 20261846x their median

    EAT REAL FOOD. https://t.co/88uVjfOaPC

    74K11K4.0K1.4K5.0M viewsView on X
  • Dec 12, 2025329x their median

    Bombshell: Oliver Sacks (a humane man & a fine essayist) made up many of the details in his famous case studies, deluding neuroscientists, psychologists, & general readers for decades. The man who mistook his wife for a hat? The autistic twins who generated multi-digit prime numbers? The institutionalized, paralyzed man who tapped out allusions to Rilke? Made up to embellish the stories. Probably also: the aphasic patients who detected lies better than neurologically intact people, including Ronald Reagan's insincerity. https://t.co/77nQRF8kp6

    12K2.6K31.4K6.7M viewsView on X
  • Dec 11, 202588x their median

    The most heartening longevity trend lately is that we are actually beating dementia. At each age, the prevalence of dementia is down compared to what it was like decades ago. Today's 90-year-olds have less than half the risk of dementia that ones in 1984 did! https://t.co/fWdiigpaTN

    3.8K3359751244K viewsView on X
  • Nov 23, 202537x their median

    Exclusive: DOGE 'doesn't exist' with eight months left on its charter https://t.co/Ku9U9Lf94E https://t.co/Ku9U9Lf94E

    7741976362024.3M viewsView on X
  • Mar 1, 202620x their median

    I switched my personal AI subscription from ChatGPT to Claude today. Anthropic (Claude parent company) has repeatedly shown that it cares more about responsible, ethical, and safe use of AI than the other leading AI companies.

    8994137021K viewsView on X
  • Oct 29, 20254.2x their median

    GLP-1 drugs may be turning the tide on the US obesity epidemic -Gallup survey reports the obesity rate is down by ~3% over 3 yr -GLP-1 use doubled to 12% of respondents -Demographics with the highest GLP-1 use saw the largest declines in obesity Very impressive. Expand access! https://t.co/CEWsPqEzOV

    1511929762K viewsView on X
  • Jan 7, 20264.1x their median

    Saw an early Dietary Guidelines. They're not that bad but got a good chuckle at : "When cooking with or adding fats to meals, prioritize oils with essential fatty acids, such as olive oil" ...Olive Oil is very low in essential fatty acids, with almost no omega 3's and minority omega 6s. Its mostly non-essential MUFA.

    1622015239K viewsView on X
  • May 8, 20263.9x their median

    Added fat is fattening. It may not be a popular point of view these days, but it remains true.

    137838664K viewsView on X
  • Oct 31, 20253.7x their median

    "We don't need drugs for obesity, we need healthier diet and lifestyle" Healthy diet and lifestyle are good and should be encouraged, but this strategy has been failing to curb the obesity epidemic for decades. Show me the evidence that what failed yesterday will work tomorrow.

    1371128410K viewsView on X
  • Jun 11, 20263.5x their median

    "Energy overload" isn't a viable explanation for the origins of insulin resistance. The "Athlete's Paradox" proves this. A muscle biopsy from an overweight person with type 2 diabetes will reveal a high level of muscle fat. However, a similar biopsy from an insulin-sensitive endurance athlete reveals just as much muscle fat.

    144817262K 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.

Recurring topics

#hiv#pepfar

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 49 interactions against 1.2M followers, an engagement rate of 0.004%. Posts are seen about 12K times each, and 0.392% of those impressions turn into an interaction. That is about 1.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 04:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 90K interactions, about 1846x its own typical post. Recurring topics include #hiv, #pepfar. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Stephan J. Guyenet's engagement rate on X?
Stephan J. Guyenet (@sguyenet) has an engagement rate of 0.004%, based on the median interactions across 1 original posts from the last 30 days against 1,193,293 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Stephan J. Guyenet sits above the 10th percentile of the 212,270 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 @sguyenet have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @sguyenet post?
Most posts go out around 04:00 UTC, and Saturday is its busiest day, at roughly 0.07 posts per day across the measured window.

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