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T-House engagement report

@thouse_opinions - 114K followers on X

Measured over 32 original posts from a 30-day window, last computed on October 9, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 114K followers
Per impression
0.276%
362 views on a typical post
Reach
0.32%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.23/day
active 47% of days
Peak time
06:00 UTC
Friday

A typical post picks up 1 interaction against 114K followers, an engagement rate of 0.001%. Measured over 32 original posts, its engagement rate beats 5% of 19,933 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 362 times each, and 0.276% of those impressions turn into an interaction. That is about 0.319% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Friday is the busiest day of the week. Of the 32 posts sampled, 75% carry an image or video and 28% link out. The account's strongest tracked post pulled 227 interactions, about 227x its own typical post. Recurring topics include #firstvoice, #commentary, #china.

Measured over 32 original posts from a 30-day window, last computed on October 9, 2026. Recurring tags: #firstvoice, #commentary, #china.

Compared with accounts its own size

T-House's engagement rate beats 5% of the tracked X accounts closest to it in follower count (19,933 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 0.001%, T-House sits below the 10th percentile of the 200,661 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,661 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 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 percentile0.67%
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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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 video75% of posts+111%+108% to +115%34K
Outbound link28% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 75% 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.
  • 28% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 134 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

  • Mar 29, 2026227x their median

    Vijay Prashad: Politcally, the US may have already lost the war #US #iran #USIran #GlobalPeace #war https://t.co/qJ9rq8V24M

    153636529K viewsView on X
  • Oct 7, 20269.0x their median

    Have you ever wondered how a city of 20M+ population is run? @PKU1898 Prof. Liu Gang draws on his experience of dialing 12345 to resolve his child's ID issue, and explains why megacities require a different kind of administrative system. Take a look. #MyCityMySay #HotlineBeijing https://t.co/l7Ri8gluNl

    5400656 viewsView on X
  • Sep 26, 20267.0x their median

    Wang Guan on NPR: Why tariffs can't stop China-US trade #ChinaUS #TradeTruce #ChinaEconomy #FirstVoice https://t.co/4MbePvDLm5

    5200480 viewsView on X
  • Sep 30, 20266.0x their median

    Global polls show that more and more people across the world are "falling for China." Is it simply a contrast created by shifting policies in certain Western countries, or is China actually delivering what the world needs? https://t.co/XcDKE6JzUK

    2301595 viewsView on X
  • Sep 29, 20266.0x their median

    How can the Global South gain an equal voice? #FirstVoice #TheHub #GlobalSouth #GGI #Multilateralism #commentary https://t.co/NWpiNaG7fw

    4200413 viewsView on X
  • Oct 5, 20265.0x their median

    Holiday experiences highlight the practical power of #China's AI innovation https://t.co/hhum2exZgZ

    3200362 viewsView on X
  • Sep 30, 20265.0x their median

    China’s expanding market is providing global opportunities #opinion #FirstVoice #China #economy #commentary https://t.co/TAXgW637EM

    3200393 viewsView on X
  • Sep 25, 20265.0x their median

    American College Students: How I See China https://t.co/YecCvw6xR1

    3200310 viewsView on X
  • Oct 7, 20264.0x their median

    China's visa-free opening turns travel into economic momentum https://t.co/mfWPzL3Tdu

    2200347 viewsView on X
  • Oct 9, 20263.0x their median

    An American's 42 days retracing the Long March: What’s his take-away?#longmarch90 #LongMarchSnap https://t.co/ytHur9yBjk

    2100120 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.

Recurring topics

#firstvoice#commentary#china#chinaus#opinion

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 1 interaction against 114K followers, an engagement rate of 0.001%. Measured over 32 original posts, its engagement rate beats 5% of 19,933 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 362 times each, and 0.276% of those impressions turn into an interaction. That is about 0.319% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Friday is the busiest day of the week. Of the 32 posts sampled, 75% carry an image or video and 28% link out. The account's strongest tracked post pulled 227 interactions, about 227x its own typical post. Recurring topics include #firstvoice, #commentary, #china.

What is T-House's engagement rate on X?
T-House (@thouse_opinions) has an engagement rate of 0.001%, based on the median interactions across 32 original posts from the last 30 days against 113,547 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, T-House sits below the 10th percentile of the 200,661 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 @thouse_opinions have real engagement?
Its engagement rate beats 5% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the bottom 10% 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 @thouse_opinions post?
Most posts go out around 06:00 UTC, and Friday is its busiest day, at roughly 1.23 posts per day across the measured window.

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