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CSIS engagement report

@CSIS - 437K followers on X

Measured over 51 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 437K followers
Per impression
0.32%
4.7K views on a typical post
Reach
1.07%
of its followers see a post
Typical post
15
interactions (median)
Saved
0.064%
3 bookmarks on a typical post
Posting rate
1.77/day
active 17% of days
Peak time
15:00 UTC
Friday

A typical post picks up 15 interactions against 437K followers, an engagement rate of 0.003%. Measured over 51 original posts, its engagement rate beats 18% of 3,862 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.32% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 51 posts sampled, 27% carry an image or video and 96% link out. The account's strongest tracked post pulled 102 interactions, about 6.8x its own typical post.

Measured over 51 original posts from a 30-day window, last computed on August 30, 2026.

Compared with accounts its own size

CSIS's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,862 accounts, accounts of similar size (decile 7 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 24% 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 0.003%, CSIS sits above the 10th percentile of the 37,350 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.437%
p902.10%
p99159.9%
Engagement rate as a share of followers, across the 37,350 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,576 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.437%
90th percentile2.10%
99th percentile159.9%

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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%97K
14:00 UTC-4%100K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-3%93K
18:00 UTC-2%87K
19:00 UTC-2%82K
20:00 UTC-1%76K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%235K
Monday0%296K
Tuesday-3%292K
Wednesday-1%254K
Thursday-2%248K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 27, 20266.8x their median

    "The Army has requested 857 THAAD interceptors in FY 2027. Their deliveries, projected to start in mid-2029, will complete the replacement of Iran War usage by the end of calendar year 2029," write Mark Cancian and Chris Park. Read: https://t.co/88YJf8jLRr https://t.co/xDJOpWDZ2w

    70271411K viewsView on X
  • Aug 26, 20264.7x their median

    How can a U.S. defense strategy of flexible engagement counter an axis led by China and Russia? The U.S. and its allies face a serious and growing threat from an authoritarian axis that can erode U.S. power and security if it is not effectively countered. Read: https://t.co/H3L0tHNEap

    4718427.8K viewsView on X
  • Aug 26, 20264.3x their median

    Russian forces suffered approximately 1.4 million battlefield casualties—including killed, wounded, and missing soldiers—between February 2022 and June 2026. These casualty numbers have increasingly become a problem for Russian recruitment, write @SethGJones and @rileydmccabe. Read: https://t.co/S8G6jn1bIy

    4716105.2K viewsView on X
  • Aug 25, 20264.0x their median

    Drones, AI, and long-range strike capabilities are changing warfare, but land power remains indispensable to controlling territory, enabling the joint force, and deterring adversaries, argue @McGinnJerry and A.J. Dilts. How must land forces in the U.S. Army and Marine Corps evolve? Read: https://t.co/8cWyE1F2R8

    4612026.4K viewsView on X
  • Aug 26, 20263.6x their median

    The U.S. munitions industrial base should be rebuilt and recast for modern wars of precision and attrition, write @McGinnJerry and A.J. Dilts. What is a realistic timeline for this goal? Read more: https://t.co/9du4w4NGTA

    3614316.7K viewsView on X
  • Aug 27, 20262.8x their median

    Unleashing the prowess and unique capabilities of the U.S. private sector could yield longer-term benefits for U.S. offensive cyber supply chains—a transformation that would strengthen the U.S.'s longer-term strategic advantage in cyberspace. Read: https://t.co/EWjr72whrK

    2514305.2K viewsView on X
  • Aug 26, 20262.7x their median

    Artificial intelligence is unlikely to transform terrorism overnight; however, it may help smaller actors perform tasks that once required larger organizations and greater expertise, argue @dbyman and @vssubrah. How will AI transform terrorism? https://t.co/oQWJaKUfcG

    328015.3K viewsView on X
  • Aug 25, 20262.7x their median

    “In the AI industrial age, the American advantage in models, platforms, and capital markets depends on secure access to chips, memory, energy, data centers, and critical minerals. South Korea supplies several of those layers and has reason to co-design the others," writes @NGirishankar. Read: https://t.co/uJCN0pCdtc

    287426.9K viewsView on X
  • Aug 29, 20261.6x their median

    Pakistan has utilized diplomacy with Iran to procure needed LNG supplies from Qatar; however, this has not been enough to prevent rolling blackouts or impacts on the country’s fertilizer production. Read more from @CSISEnergy: https://t.co/8XlJ5BC1OP

    192216.4K viewsView on X
  • Aug 27, 20261.6x their median

    How did models from OpenAI, Anthropic, & Meta autonomously start hacking? It took several days for OpenAI to discover its role in the recent Hugging Face breach. How should the U.S. government respond to the Hugging Face incident & other agent hacking? Read more from @csis_ai: https://t.co/zrTVYhhZOM

    146225.3K 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 15 interactions against 437K followers, an engagement rate of 0.003%. Measured over 51 original posts, its engagement rate beats 18% of 3,862 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.32% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 51 posts sampled, 27% carry an image or video and 96% link out. The account's strongest tracked post pulled 102 interactions, about 6.8x its own typical post.

What is CSIS's engagement rate on X?
CSIS (@CSIS) has an engagement rate of 0.003%, based on the median interactions across 51 original posts from the last 30 days against 437,138 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, CSIS sits above the 10th percentile of the 37,350 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 @CSIS have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,862 accounts), which puts it in the bottom 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 @CSIS post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 1.77 posts per day across the measured window.

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