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Stephen Wolfram engagement report

@stephen_wolfram - 185K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Middle of its size range
Per follower
0.072%
of 185K followers
Per impression
0.926%
14K views on a typical post
Reach
7.77%
of its followers see a post
Typical post
133
interactions (median)
Saved
0.327%
47 bookmarks on a typical post
Posting rate
0.37/day
active 30% of days
Peak time
19:00 UTC
Wednesday

A typical post picks up 133 interactions against 185K followers, an engagement rate of 0.072%. Measured over 9 original posts, its engagement rate beats 53% 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 14K times each, and 0.926% of those impressions turn into an interaction. That is about 7.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video, 11% are part of a thread and 78% link out. The account's strongest tracked post pulled 7.2K interactions, about 54x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

Stephen Wolfram's engagement rate beats 53% of the tracked X accounts closest to it in follower count (21,185 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 40% 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 0.072%, Stephen Wolfram sits above the 25th percentile of the 213,186 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 19:00 UTC, and Wednesday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video33% of posts+111%+108% to +115%34K
Outbound link78% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 33% 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.
  • 78% 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 154 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

  • Aug 4, 202654x their median

    Sharing a great personal tragedy https://t.co/TAZOM5MGLj https://t.co/Rh3W1IDBVs

    6.0K301837108458K viewsView on X
  • Jun 1, 202616x their median

    42 years ago today I made a surprising discovery that every year has been showing us more and more about the answer to life, the universe and everything... https://t.co/z1uA3RyxYF https://t.co/GeGgrBBdck

    1.8K1817728274K viewsView on X
  • Jan 30, 202616x their median

    Attacking the P vs. NP problem with ruliology ... the beginnings of empirical theoretical computer science https://t.co/JSCKXGx1Fg https://t.co/IyI5oOssAF

    1.8K242622487K viewsView on X
  • Jun 4, 202612x their median

    What happens when agents with all possible strategies compete? That's a question for ruliology. With some surprising answers... https://t.co/5RdL27qQc3 https://t.co/h2jxQe6FRH

    1.3K1663524104K viewsView on X
  • Sep 28, 202610x their median

    Since all sorts of people have asked me, I decided to write down my current thoughts on "What's the Future for Pure Math Research in the Age of AI?" https://t.co/TQxHFIirSG https://t.co/s2LdNDzSd1

    1.1K234462784K viewsView on X
  • Sep 17, 20268.9x their median

    After a hiatus brought on by tragedy, I'm planning to return to livestreaming tomorrow (Friday) ... and will start with a personal update and AMA.  What would people like to ask about?

    1.0K37130256K viewsView on X
  • Aug 29, 20268.0x their median

    67 (or should it be 6 7?)

    910361081673K viewsView on X
  • Feb 23, 20267.0x their median

    Making Wolfram tech available as a Foundation Tool for LLM foundation models... https://t.co/TbJ4RIjADG https://t.co/nPe3i5GzXQ

    768114302248K viewsView on X
  • Jun 16, 20265.0x their median

    Launched today: Version 15 of Wolfram Language & Mathematica. Built-in (useful) AI, and a *lot* of new core functionality... https://t.co/JOoNp1jt3F https://t.co/Cq4lF2Meoa

    53692261035K viewsView on X
  • Jan 12, 2026

    What is ruliology? Posting an explanation of what one can think of as the ultimate basic science---the most foundational and most general form of theoretical science... https://t.co/CmCJYv0ng9 https://t.co/k8az4rOjRr

    4598126931K 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 133 interactions against 185K followers, an engagement rate of 0.072%. Measured over 9 original posts, its engagement rate beats 53% 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 14K times each, and 0.926% of those impressions turn into an interaction. That is about 7.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video, 11% are part of a thread and 78% link out. The account's strongest tracked post pulled 7.2K interactions, about 54x its own typical post.

What is Stephen Wolfram's engagement rate on X?
Stephen Wolfram (@stephen_wolfram) has an engagement rate of 0.072%, based on the median interactions across 9 original posts from the last 30 days against 185,444 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.072%, Stephen Wolfram sits above the 25th percentile of the 213,186 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 @stephen_wolfram have real engagement?
Its engagement rate beats 53% 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 @stephen_wolfram post?
Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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