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Hudson Institute engagement report

@HudsonInstitute - 128K followers on X

Measured over 39 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 128K followers
Per impression
0.798%
2.9K views on a typical post
Reach
2.26%
of its followers see a post
Typical post
23
interactions (median)
Saved
0.069%
2 bookmarks on a typical post
Posting rate
1.9/day
active 27% of days
Peak time
17:00 UTC
Friday

A typical post picks up 23 interactions against 128K followers, an engagement rate of 0.018%. Measured over 39 original posts, its engagement rate beats 27% of 20,444 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 2.9K times each, and 0.798% of those impressions turn into an interaction. That is about 2.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 38% carry an image or video, 5% are part of a thread and 74% link out. The account's strongest tracked post pulled 1.0K interactions, about 44x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Hudson Institute's engagement rate beats 27% of the tracked X accounts closest to it in follower count (20,444 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 36% 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 0.018%, Hudson Institute sits above the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video38% of posts+111%+108% to +115%34K
Outbound link74% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 38% 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.
  • 74% 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 326 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

  • Sep 28, 202644x their median

    Since WWII, Japan has been constitutionally bound to pacifism. But Tokyo has recently doubled its defense budget, signed agreements that allow it to deploy its military overseas, and lifted its prohibition on exporting weapons. Japan's strategy benefits the US, increasing the durability of American power in the Indo-Pacific. The United States should help Tokyo accelerate these reforms because a stronger Japan that is closely linked with other US allies and partners in the region is essential to deterring China, @njcsnyder and @DavidSacks write. Read in @ForeignAffairs: https://t.co/d9eOsZi8i6

    714218473257K viewsView on X
  • Sep 25, 20264.7x their median

    "The biggest threat to humanity isn't rogue AI; it is AI controlled by China." In @WSJopinion, @ChairmanG warns that if the United States does not "pace the AI frontier," the CCP will use the technology to take Taiwan and displace America as the world's dominant superpower. https://t.co/nipI7gLCDJ

    7325646.2K viewsView on X
  • Sep 28, 20264.3x their median

    Greenland has been strategically important to the US and the defense of the North Atlantic since World War II. The new security deal doesn't fundamentally change the framework of the US-Greenland-Denmark agreement but instead builds on it in three key ways. 1. It accounts for Greenland's growing autonomy from Denmark and its possible independence, giving America and NATO continuity no matter how Greenland's relationship with Denmark evolves. 2. It bars non-NATO countries—like Russia and China—from establishing military facilities on the island or investing in its sensitive sectors 3. It reaffirms the sovereignty and territorial integrity of the Kingdom of Denmark while recognizing the Greenlandic people's right to self-determination. But in the next phase of the US-Greenland-Denmark relationship, America should focus on expanding rare earths and natural resource production, @LukeDCoffey writes in @USATODAY. https://t.co/POejBm546Z

    7320335.8K viewsView on X
  • Sep 25, 20263.3x their median

    China does not have the financing to compete with the US at the frontier levels of AI. Instead, Beijing uses distillation to appropriate American breakthroughs. If Trump gives Beijing access to the US market, it could undermine the economics of US AI and data centers, Tom Duesterberg warns. @ABC

    47187413K viewsView on X
  • Sep 25, 20262.9x their median

    To fully exploit China's weaknesses, the US should work with allies to cut off Beijing's access to Western financing. Without American financial markets, China cannot keep up in the AI race, Tom Duesterberg explains. @ABC https://t.co/cH8DDXSt3X

    36161055.4K viewsView on X
  • Sep 28, 20262.7x their median

    Iran wants America out of the region and an end to the pressure campaign so it can regroup. But the administration's economic pressure and blockade are working, leaving the regime with few options, @RLHeinrichs tells @johnrobertsFox. https://t.co/Kh9hVxZ5RH

    4610523.8K viewsView on X
  • Sep 30, 20262.2x their median

    The post-Cold War period of general peace and stability is giving way to a new era of strategic competition. American foreign policy needs to reorient its underlying assumptions to comport with reality: the United States faces not merely competitors, challengers, or even adversaries, but enemies. @todlindberg and @CorbanTeague's latest in @WSJopinion: https://t.co/rKkc9e2YkP

    3114422.8K viewsView on X
  • Sep 28, 20262.2x their median

    .@johnrobertsFox: When Iran says they're not interested in building a bomb, you say... @RLHeinrichs: They can go ahead and let IAEA inspectors come in and prove they're not trying to build a bomb. @AmericaRpts https://t.co/SqqZ3ydzZc

    356724.0K viewsView on X
  • Sep 30, 20262.0x their median

    The "restrainers" emerging in the American political debate argue for a lighter foreign policy and reject the post–Cold War claim that Americans' security and prosperity depend on global stability. Restraint has its appeal, but it ignores what follows when America does less: emboldened rivals, rattled allies, and rules written by states that do not share core American interests. Pulling forces back from Europe or the Pacific will not insulate Washington from great-power conflict; rather, it all but ensures a more costly reckoning down the road, @Ludo_Hood writes. Read in @NRO: https://t.co/g4Vm4Fjx3a

    3110313.4K viewsView on X
  • Sep 25, 20261.8x their median

    China has two choices as it builds AI models: 1. Give AI access to information beyond the Great Firewall 2. Build misinformed, weak models Either way, artificial intelligence poses an existential threat to the CCP, @wrmead argues on @FoxBusiness. https://t.co/5LFC4cbQmG

    2910114.0K 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 23 interactions against 128K followers, an engagement rate of 0.018%. Measured over 39 original posts, its engagement rate beats 27% of 20,444 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 2.9K times each, and 0.798% of those impressions turn into an interaction. That is about 2.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 38% carry an image or video, 5% are part of a thread and 74% link out. The account's strongest tracked post pulled 1.0K interactions, about 44x its own typical post.

What is Hudson Institute's engagement rate on X?
Hudson Institute (@HudsonInstitute) has an engagement rate of 0.018%, based on the median interactions across 39 original posts from the last 30 days against 127,597 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Hudson Institute sits above the 10th percentile of the 204,880 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 @HudsonInstitute have real engagement?
Its engagement rate beats 27% of the tracked X accounts closest to it in follower count (20,444 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 @HudsonInstitute post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 1.9 posts per day across the measured window.

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