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閭丘露薇 engagement report

@roseluqiu - 260K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Per follower
0.004%
of 260K followers
Per impression
0.126%
8.7K views on a typical post
Reach
3.34%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.017%
2 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
05:00 UTC
Sunday

Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 11 interactions against 260K followers, an engagement rate of 0.004%. Posts are seen about 8.7K times each, and 0.126% of those impressions turn into an interaction. That is about 3.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 3.0K interactions, about 273x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 6 original posts from a 30-day window, last computed on September 24, 2026.

Where this sits in the catalog

At 0.004%, 閭丘露薇 sits above the 10th percentile of the 212,656 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 05:00 UTC, and Sunday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video100% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 50% 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 113 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

  • Apr 7, 2026273x their median

    很多年前,我在南华早报驻北京记者站工作的时候,见过一次陈丽华。印象极差。记得当时是陈丽华的香港富华集团一手接管了无量大人胡同的拆迁,并投资承建金宝街。现在这段历史成了陈丽华发家史上的最重要一笔,她因为打通了北京和更高级别的政府关系,拿到这个拆迁改造和金宝街的开发项目。而因为香港马会也因此进驻金宝街,所以香港媒体非常关注。说起北京无量大人胡同,在王府井后身(北边),是一条充满了无数历史文化名人故居的老胡同。北京的老胡同被强拆的血泪史这里可以用千万字记录,我记得我当时在北京做记者,也就是因为是外媒,跟着很多保护北京老城区和抗议拆除老城的NGO团体多少次去记录和记录市民用肉身阻止推土机的悲壮场面。无量大人胡同上,有梅兰芳故居,有沈从文故居和无数文化名人故居。华南奎的孙女华新民女士拼尽全力想保住这条胡同,也是徒劳。 我在金宝街上的某个酒店大堂见到了陈丽华。像一尊佛一样坐在那里,表情怡然自得,指挥着她的手下给去现场采访的记者发礼品袋。 她当时的表情就是,看,这些记者都来巴结我。她不知道我是外媒记者,看我一小姑娘,还拉我坐她沙发上。所以没想到我直接问了她很冲的问题,脸色一下子就变了。她身边的人就把我推开了。我回去就写了稿子,当然是讲这个强拆项目的被抗议。 现在她终于死了。嗯,说明吃了唐僧肉也没有长生不老。走好不送。 突然觉得我应该做期节目,说说这个事。

    2.6K23020321524K viewsView on X
  • Aug 12, 202630x their median

    朱鎔基去世了。 好多回憶,因為他是和香港記者互動最多的前國家領導人。記得最多的一次,在他外訪的期間,他一天進進出出酒店八次,結果每次都回答了我們的提問。 他還會在外訪期間找時間安排和香港記者們合影。 江澤民也是。 這種互動模式被他們的後一任繼承。算是一國兩制下,香港記者的特殊待遇。 再下一任,一開始有,後來,這種香港記者可以採訪領導人外訪的安排,結束了。

    2773612542K viewsView on X
  • Dec 3, 2025

    演唱会临时取消,歌手在空无一人的场馆把彩排唱成完整表演,1.4 万空座位,照片放到網上引发热议。官方澄清只是彩排,於是事件的焦点,不再是: 為何取消,取消對不對;契約精神是否重要? 討論變成到底是「彩排」還是「一個人的演出」。感嘆議程設置能力的強大,就這樣歪了重點,重新定義了一個話題。

    2192516220K viewsView on X
  • Aug 26, 2025

    有观众留言,问我说 “不做新闻时事评论受众面真的有限,xx人随便胡咧咧一下就有将近十万的流量,难道一点不动心?” 我回答:“你都说了是胡咧咧, 动什么心呢?” 其实我再严肃回答一句,现在真的是人人做“新闻时事评论”啊。 有多少人在产生知识和智慧吗? 提升了多少公共讨论的质量吗?还是纯粹冲着流量去了? 流量是啥?钱?注意力?影响力? 更勿论多少人是一拍脑门做个梦就敢YouTube上胡咧咧俩小时的? 要点儿脸? 烦透了这种冲着流量去的“胡咧咧”, 烦透了!!

    112514427K viewsView on X
  • Sep 8, 202611x their median

    學習新技能 https://t.co/ULxXybUh54

    1160408.8K viewsView on X
  • Jan 25, 2026

    看到一個問題,蠻有意思:為何內地輿論場對斬殺線那麼熱衷,對ICE和警察暴力執法這麼暴露美國黑暗的事情沒啥興趣?

    74822419K viewsView on X
  • Aug 21, 2025

    在中國,名人上名人的podcast也好,視頻訪談也好,那就是相互給面子,相互借助資源,在我看來,甚至有點壟斷/霸佔公共空間的味道。就算有之前沒有公開的信息,那也和新聞訪談,記者身分一點關係也沒有呀。

    6851217K viewsView on X
  • Feb 25, 20266.6x their median

    看到一段央視「東方時空」對吳儀的採訪,一個好的採訪對象,提問者也問的好,自然直接。曾經和她有一次私下的交談機會,聊的很放鬆,因為她負責公共衛生,我提起高耀潔,記得她說,高是一個好人,被利用了。另外一個印象深刻的場景是,她坐在沙發上,當時還是商務部長的薄熙來畢恭畢敬的站在她面前說話 https://t.co/H20wOJRiWG

    6228124K viewsView on X
  • Feb 17, 20266.2x their median

    最近發生莫名其妙的事情,但是盡量不委屈自己,還是應該的。 共勉 https://t.co/spfGVPUY81

    603508.8K viewsView on X
  • Sep 5, 20266.0x their median

    九月的香港 https://t.co/d7EVlMmNMS

    630309.4K 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 11 interactions against 260K followers, an engagement rate of 0.004%. Posts are seen about 8.7K times each, and 0.126% of those impressions turn into an interaction. That is about 3.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 3.0K interactions, about 273x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is 閭丘露薇's engagement rate on X?
閭丘露薇 (@roseluqiu) has an engagement rate of 0.004%, based on the median interactions across 6 original posts from the last 30 days against 260,248 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, 閭丘露薇 sits above the 10th percentile of the 212,656 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 @roseluqiu have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @roseluqiu post?
Most posts go out around 05:00 UTC, and Sunday is its busiest day, at roughly 0.2 posts per day across the measured window.

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