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Michael Kofman engagement report

@KofmanMichael - 436K followers on X

Measured over 11 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.064%
of 436K followers
Per impression
0.308%
91K views on a typical post
Reach
20.9%
of its followers see a post
Typical post
281
interactions (median)
Saved
0.073%
67 bookmarks on a typical post
Posting rate
3.5/day
active 90% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 281 interactions against 436K followers, an engagement rate of 0.064%. Measured over 11 original posts, its engagement rate beats 64% of 19,932 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 91K times each, and 0.308% of those impressions turn into an interaction. That is about 20.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 9% are part of a thread and 55% link out. The account's strongest tracked post pulled 4.2K interactions, about 15x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Michael Kofman's engagement rate beats 64% of the tracked X accounts closest to it in follower count (19,932 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 22% 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 0.064%, Michael Kofman sits above the 25th percentile of the 201,005 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,005 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 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: 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: 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 video64% of posts+111%+108% to +115%34K
Outbound link55% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 64% 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.
  • 55% 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 307 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

  • Aug 26, 202615x their median

    Vibecoding explained https://t.co/1J2tu7qgrA

    3.9K1813512148K viewsView on X
  • Sep 12, 20265.6x their median

    “Deep in Arctic waters near the remote Svalbard archipelago this spring, NATO allies caught Russian subs training to unleash a secret weapon designed to disable critical undersea cables without leaving any fingerprints. The clandestine Russian operation, described to Reuters by two Western officials, was carried out by Moscow's GUGI undersea warfare directorate, which used deep-sea submersibles to simulate the deployment of the sophisticated and destructive technology. A joint operation involving Britain, Norway and the United States tracked and confronted the Russian vessels at sea, said the two officials, speaking on condition of anonymity. The vessels were prevented from completing their exercise and eventually left the area.” https://t.co/OtvsqEvlfq

    1.2K342141491K viewsView on X
  • Aug 25, 20261.8x their median

    Russia’s armed forces have moved decisively away from their previous reliance on overwhelming volumes of artillery fire and towards a more precision-led approach to strike warfare in Ukraine. Our latest paper by Dr Sidharth Kaushal and @Sam_Cranny presents a detailed account of how Russia’s precision strike capabilities have evolved, from a chaotic and under-resourced opening campaign to a more potent precision strike capability. Read the paper: https://t.co/MyZaDbbybL

    352146615114K viewsView on X
  • Aug 25, 2026

    I had a great time recording this podcast on The Hunt for Red October. We talk about what the film gets right, what it might have wrong, how it portrays this time period, and the work of analysts. If you’re a fan have a listen. @WarOnTheRocks https://t.co/SIdW2EfbeG

    3135014564K viewsView on X
  • Sep 4, 2026

    Alabuga 2024/2025/2026 Systemic approach, something that Ukraine can't afford on such scale. https://t.co/SkiHTseqNf

    27642146110K viewsView on X
  • Sep 9, 2026

    IEMZ "Kupol" has patented its modified jet-powered "Geran-4" – officially designated as an "Unmanned aerial vehicle with a turbojet power plant." The upgrades primarily involve the air intake and engine mounting, while the airframe modifications are already known. Another patented "development" by Kupol is a clone of the Iranian Shahed-101, which had already been announced back in 2025. It features minor differences from the Shahed-101 in wing attachment and other details.

    242320775K viewsView on X
  • Sep 7, 2026

    The latest episode of Russia Contingency is out. I check in with @Justin_Br0nk to compare views on the air war, Ukraine’s use of Western tactical aviation, air defense, the missile defense problem and more. @WarOnTheRocks This episode is live: https://t.co/yy68L72ML1

    209488134K viewsView on X
  • Sep 18, 2026

    Palantir’s CEO Karp: When I got to Ukraine on day 5, almost everyone thought it would lose. Look at what happened. Ukraine, Israel and the US systematically outperform on the battlefield where AI and advanced technologies are deployed. It's a major concern for China and Russia. https://t.co/nP1p6pRPTv

    2012336125K viewsView on X
  • Sep 1, 2026

    Ukraine is reshaping command on the Donetsk front as Russian forces move within 7–10 km of Sloviansk and Ukrainian intelligence warns Moscow could mobilize another 300,000 people this year. Two new force groupings led by Andrii Biletskyi and Denys Prokopenko will oversee much of the region's defense. https://t.co/ljDFlmqB7y

    179461385K viewsView on X
  • Sep 2, 2026

    Good piece here on Code 9.2 and 1st Assault Regiment. Both units I have met with in the past. They are trying to innovate in technology, tactics, and force structure adaptions, seeking to return mobility to the battlefield. https://t.co/j0KLPGrkfu

    178293225K 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 281 interactions against 436K followers, an engagement rate of 0.064%. Measured over 11 original posts, its engagement rate beats 64% of 19,932 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 91K times each, and 0.308% of those impressions turn into an interaction. That is about 20.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 9% are part of a thread and 55% link out. The account's strongest tracked post pulled 4.2K interactions, about 15x its own typical post.

What is Michael Kofman's engagement rate on X?
Michael Kofman (@KofmanMichael) has an engagement rate of 0.064%, based on the median interactions across 11 original posts from the last 30 days against 436,459 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.064%, Michael Kofman sits above the 25th percentile of the 201,005 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 @KofmanMichael have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (19,932 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 @KofmanMichael post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 3.5 posts per day across the measured window.

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