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Crémieux engagement report

@cremieuxrecueil - 343K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Top quarter for its size
Per follower
0.145%
of 343K followers
Per impression
2.79%
18K views on a typical post
Reach
5.21%
of its followers see a post
Typical post
494
interactions (median)
Saved
0.175%
31 bookmarks on a typical post
Posting rate
4.43/day
active 27% of days
Peak time
16:00 UTC
Saturday

A typical post picks up 494 interactions against 343K followers, an engagement rate of 0.145%. Measured over 37 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 18K times each, and 2.79% of those impressions turn into an interaction. That is about 5.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 62% carry an image or video, 32% are part of a thread and 14% link out. The account's strongest tracked post pulled 35K interactions, about 45x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

Crémieux's engagement rate beats 77% 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 76% 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 0.145%, Crémieux sits above the 50th percentile of the 204,880 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 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 percentile0.678%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video62% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 62% 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.
  • 14% 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 288 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

  • Dec 12, 202445x their median

    The COVID era Paycheck Protection Program was defrauded at an incredible scale. People received PPP loans for total nonsense at stunning rates. Thread of funny claims. Dodge Hellcat LLC

    29K4.5K9991.0K29M viewsView on X
  • Sep 2, 202655x their median

    Reading about 9/11, and I’d never heard this part of the story. What the hell https://t.co/xp3OJHj5xV

    25K1.4K2402141.3M viewsView on X
  • Oct 7, 202633x their median

    https://t.co/G51Qkx65sI

    13K7864881.9K7.4M viewsView on X
  • Oct 10, 202616x their median

    Which avatar period of life do they have the strongest symbol? https://t.co/4JlR7x1bl6

    7.7K2395069156K viewsView on X
  • Aug 4, 20259.0x their median

    Remember when researchers claimed gas stoves were responsible for 1-in-8 asthma cases in the U.S.? That didn't hold up. The meta-analysis was done incorrectly, and correcting it rendered its result nonsignificant. Then, a very large, well-done study found no risk elevation. https://t.co/fltmNZhSgF

    5.8K997112110506K viewsView on X
  • Sep 3, 202613x their median

    Bernie Sanders and Greg Casar today announced the Ban Artificial Superintelligence Act. All AI development in the United States will be paused. Systems that have capabilities that match or exceed human cognitive performance will be banned. Violators will face 20 years in prison. https://t.co/B6AhM3GiZl

    3.6K4031.4K1.1K2.0M viewsView on X
  • Oct 7, 202613x their median

    The elites of Victorian Britain got up late, drank ceaselessly, worked short hours, partied through the night, and knew nothing about science, technology or engineering. And yet, by their own lights, they were hugely effective. https://t.co/TvbuWtaPRJ The Victorians are often held up as a model against the supposedly soft, feckless, humanities-educated elites of today. But I argue that the genius of their system may have been its drastic weighting towards soft skills, team-building and intra-elite networking: - A Victorian’s gentleman’s office hours typically began about 11am and finished about 5pm, including a multi-course lunch with wine. - Upper-class Victorians drank ceaselessly. Conduct guides recommended four or five glasses of wine at dinner *for married women*. Port was often served in pints. - Party culture was intense and nocturnal. Balls started at about 10pm, peaked after 1am, and continued till dawn. During the social season, bankers, judges and politicians might go to several balls per week. - Elite Victorians learnt almost no STEM at school or university. At least half of class time was given over to ancient languages, often as much as 80 percent. One leading educationalist remarked that it was not worth teaching science to gentlemen because it does not involve ‘continued reasoning’. - Sports and character formation were valued far above transmitting facts. A top headmaster described his school’s priorities as ‘First – character, second – physique, third – intelligence, fourth – manners, fifth – information’. This cannot have made elite Victorians more productive individually, but maybe the dense social and emotional network it created helped them to work as a sort of extended team. Perhaps we should think again about what makes groups of people effective.

    5.3K596251278982K viewsView on X
  • Mar 9, 202412x their median

    Are you a fan of Tokyo? Then let me introduce you to America's Tokyo. It's called Atlanta! It has the same temperature range as Tokyo: https://t.co/BTRR7XZ8II

    5.3K2542921851.0M viewsView on X
  • Oct 9, 202611x their median

    YOU LOVE TO SEE IT Life expectancy for people with cystic fibrosis going up and up and up and uo That's what REAL science does. 😍 https://t.co/SSpFuikSs7

    4.6K5048972443K viewsView on X
  • Sep 15, 20268.9x their median

    Pretty cool that American politics actually is becoming EA vs e/acc.

    4.0K19410457240K 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 494 interactions against 343K followers, an engagement rate of 0.145%. Measured over 37 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 18K times each, and 2.79% of those impressions turn into an interaction. That is about 5.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 62% carry an image or video, 32% are part of a thread and 14% link out. The account's strongest tracked post pulled 35K interactions, about 45x its own typical post.

What is Crémieux's engagement rate on X?
Crémieux (@cremieuxrecueil) has an engagement rate of 0.145%, based on the median interactions across 37 original posts from the last 30 days against 343,001 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.145%, Crémieux sits above the 50th percentile of the 204,880 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 @cremieuxrecueil 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 @cremieuxrecueil post?
Most posts go out around 16:00 UTC, and Saturday is its busiest day, at roughly 4.43 posts per day across the measured window.

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