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The Stoic Emperor engagement report

@TheStoicEmperor - 382K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.03%
of 382K followers
Per impression
0.901%
13K views on a typical post
Reach
3.38%
of its followers see a post
Typical post
116
interactions (median)
Saved
0.085%
11 bookmarks on a typical post
Posting rate
0.43/day
active 27% of days
Peak time
21:00 UTC
Saturday

A typical post picks up 116 interactions against 382K followers, an engagement rate of 0.03%. Measured over 10 original posts, its engagement rate beats 41% of 14,930 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 13K times each, and 0.901% of those impressions turn into an interaction. That is about 3.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 21:00 UTC, and Saturday is the busiest day of the week. Of the 10 posts sampled, 10% carry an image or video. The account's strongest tracked post pulled 21K interactions, about 185x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

The Stoic Emperor's engagement rate beats 41% of the tracked X accounts closest to it in follower count (14,930 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 43% 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 0.03%, The Stoic Emperor sits above the 25th percentile of the 151,052 accounts in this comparison. That places it in the below the median band, which runs 0.021% to 0.126%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.29%
p9984.4%
Engagement rate as a share of followers, across the 151,052 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,223 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 percentile0.003%
25th percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.29%
99th percentile84.4%

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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video10% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 10% 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 121 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Apr 15, 2026185x their median

    Clavicular Suffers Suspected Overdose, Hospitalized https://t.co/YyrWwmMtcE https://t.co/zFgtJS5xEL

    17K5551.7K1.7K15M viewsView on X
  • Mar 28, 202658x their median

    finding out your aging parents are getting involved in political activism is i assume kind of like learning that your teenager has picked up a weed habit

    6.3K20813625246K viewsView on X
  • Sep 27, 202613x their median

    This is going around because people miss seeing real songwriters with frontman skills doing their own music. Brandon Flowers represents millennial "real music" from before everything became producer pop. https://t.co/cEpRkpUWOK

    1.4K5433781K viewsView on X
  • Mar 13, 2026

    Fear of doing only recedes with doing. Start before you’re ready.

    2652115113K viewsView on X
  • May 2, 20261.8x their median

    The current logic of social media is to keep creating new divisions until each man is finally alone on an island by himself.

    1522337213K viewsView on X
  • Sep 24, 20261.7x their median

    Doom is for the dead. While you live, act alive.

    1701913013K viewsView on X
  • Mar 30, 20261.7x their median

    “I don’t understand.” Often said by the least intelligent person in the room and the most intelligent.

    1681710113K viewsView on X
  • Mar 16, 2026

    Many will try to sell you despair. Don’t buy.

    157197312K viewsView on X
  • Mar 13, 2026

    Having vicious thoughts about others is a sign something is wrong with the way you’re living.

    166135015K viewsView on X
  • Mar 28, 20261.5x their median

    Unhappy internet people have opinions about how you should live. This should not affect you in any way.

    1511412111K 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 116 interactions against 382K followers, an engagement rate of 0.03%. Measured over 10 original posts, its engagement rate beats 41% of 14,930 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 13K times each, and 0.901% of those impressions turn into an interaction. That is about 3.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 21:00 UTC, and Saturday is the busiest day of the week. Of the 10 posts sampled, 10% carry an image or video. The account's strongest tracked post pulled 21K interactions, about 185x its own typical post.

What is The Stoic Emperor's engagement rate on X?
The Stoic Emperor (@TheStoicEmperor) has an engagement rate of 0.03%, based on the median interactions across 10 original posts from the last 30 days against 382,028 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.03%, The Stoic Emperor sits above the 25th percentile of the 151,052 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 @TheStoicEmperor have real engagement?
Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (14,930 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 @TheStoicEmperor post?
Most posts go out around 21:00 UTC, and Saturday is its busiest day, at roughly 0.43 posts per day across the measured window.

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