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The Brookings Institution engagement report

@BrookingsInst - 450K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 8, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 450K followers
Per impression
0.209%
5.7K views on a typical post
Reach
1.28%
of its followers see a post
Typical post
12
interactions (median)
Saved
0.026%
2 bookmarks on a typical post
Posting rate
0.6/day
active 47% of days
Peak time
14:00 UTC
Friday

A typical post picks up 12 interactions against 450K followers, an engagement rate of 0.003%. Measured over 14 original posts, its engagement rate beats 14% of 6,874 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 5.7K times each, and 0.209% of those impressions turn into an interaction. That is about 1.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 100% link out. The account's strongest tracked post pulled 26 interactions, about 2.2x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on September 8, 2026.

Compared with accounts its own size

The Brookings Institution's engagement rate beats 14% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 15% 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%, The Brookings Institution sits above the 10th percentile of the 66,536 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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.
  • 100% 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 265 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 21, 20262.2x their median

    New Beijing Brief: Recorded on the ground in Taipei, @ryanl_hass and @jonczin talk with @ProfTalmadge about Taiwan's defense strategy, its tech sector, and where Washington's read on the threat falls short. https://t.co/6yEtGlt5uK

    206008.9K viewsView on X
  • Aug 11, 20262.1x their median

    German industry is losing roughly 10,000 jobs a month as a new wave of Chinese exports reshapes European markets. Constanze Stelzenmüller and Kari Heerman join Ryan Hass and Jonathan Czin on The Beijing Brief to unpack what's driving "China Shock 2.0"—and what Europe can do about it. https://t.co/zeJhyebo3r

    1210036.7K viewsView on X
  • Aug 27, 20261.9x their median

    What does a stronger European role in NATO mean for the U.S.? Michael O’Hanlon explores how greater European defense capacity could strengthen alliance burden-sharing, reinforce deterrence, and continue delivering significant strategic value for the United States. https://t.co/hzpzhWw74J

    1210106.8K viewsView on X
  • Jul 23, 20261.9x their median

    Will China replace America on the world stage? On the latest episode of The Beijing Brief, Kagan joins Ryan Hass and Jon Czin to unpack what a receding U.S. role in the world could mean for China's ambitions. https://t.co/F7Mcnrlt62

    118226.8K viewsView on X
  • Aug 17, 20261.8x their median

    Is the U.S. becoming a "petrostate" and China an "electrostate"? Scott M. Moore argues the dichotomy is overstated, but warns China's dominance in EVs and clean tech could still give it a lasting edge as global demand shifts. https://t.co/051WaAm2gU

    127205.7K viewsView on X
  • Jun 19, 20261.8x their median

    Tensions at key maritime chokepoints—from the Strait of Hormuz to the Black and Red seas—are straining U.S. naval capacity and exposing deeper structural shifts in global trade and geopolitics. Peter Dombrowski and Bruce Jones on the limits of American sea power. https://t.co/3opTQM8J3N

    79324.0K viewsView on X
  • Jun 8, 20261.8x their median

    Where are AI-exposed workers concentrated, and how do they vote? New research from Mark Muro, Todd Jones, and Shriya Methkupally maps the political geography of AI exposure ahead of the midterms. https://t.co/sxP89BUEDu

    96602.9K viewsView on X
  • Jun 10, 20261.7x their median

    Pope Leo XIV's first encyclical makes a pointed claim: AI is not "inherently evil"—but it's also "never neutral." Nicol Turner Lee, Elham Tabassi, and Valerie Wirtschafter dig into what a 42,000-word Vatican document means for AI governance, digital equity, and the tech industry's moral accountability. https://t.co/qR0m4SfToN

    115403.4K viewsView on X
  • Aug 28, 20261.6x their median

    "The Iran war’s greatest risk for U.S.-Africa relations is the strategic distraction that hands competitors a window to deepen their foothold on the continent," writes @LandrySigne. https://t.co/WTzQQAhUzj

    136006.4K viewsView on X
  • Jul 31, 20261.6x their median

    Morocco's run to the 2026 World Cup quarterfinals reflects two decades of investment in youth football and infrastructure. For Foresight Africa, Landry Signé talks with Morocco's U.S. ambassador about what's next as the country co-hosts 2030. https://t.co/D06s5s9DQO

    162105.3K 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 12 interactions against 450K followers, an engagement rate of 0.003%. Measured over 14 original posts, its engagement rate beats 14% of 6,874 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 5.7K times each, and 0.209% of those impressions turn into an interaction. That is about 1.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 100% link out. The account's strongest tracked post pulled 26 interactions, about 2.2x its own typical post.

What is The Brookings Institution's engagement rate on X?
The Brookings Institution (@BrookingsInst) has an engagement rate of 0.003%, based on the median interactions across 14 original posts from the last 30 days against 449,689 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, The Brookings Institution sits above the 10th percentile of the 66,536 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 @BrookingsInst have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (6,874 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 @BrookingsInst post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.6 posts per day across the measured window.

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