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陈小平 engagement report

@xchen156 - 262K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Per follower
0.004%
of 262K followers
Per impression
0.109%
9.2K views on a typical post
Reach
3.51%
of its followers see a post
Typical post
10
interactions (median)
Saved
0.011%
1 bookmarks on a typical post
Posting rate
0.63/day
active 20% of days
Peak time
02:00 UTC
Thursday

Early reading. We have captured 7 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 10 interactions against 262K followers, an engagement rate of 0.004%. Posts are seen about 9.2K times each, and 0.109% of those impressions turn into an interaction. That is about 3.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 14% carry an image or video, 29% are part of a thread and 43% link out. The account's strongest tracked post pulled 1.9K interactions, about 189x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 24, 2026.

Where this sits in the catalog

At 0.004%, 陈小平 sits above the 10th percentile of the 157,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,055 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 02:00 UTC, and Thursday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video14% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 14% 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.
  • 43% 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 98 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

  • Jul 25, 2026189x their median

    今天和一位长期居住在美国、但仍持中国国籍的投资人朋友吃饭,聊到最近中国税务部门对境外资产和收入的追缴。 他本人深受其扰:一年之内,已经补了三次税。 最近一次,税务人员直接打到他的手机。他起初还以为遇到了诈骗电话,随后试图解释:“该补的税,我不是都已经补完了吗?” 对方只反问了一句:“你真的有必要这样吗?” 紧接着,对方把他在香港和新加坡名下账户里的数字,一个个报了出来,甚至精确到了小数点后。 那一刻,他才真正意识到:在CRS和跨境金融账户信息交换之下,所谓的“境外账户”,对税务机关而言,就是如来神掌里的孙悟空,尽在掌握中。 而就在今天,中国财政部和税务总局又出台了针对离岸信托的个人所得税新规:中国税收居民将股票、房产等资产装入离岸信托时,资产增值部分可能需要按照财产转让所得纳税;信托及其控制的境外实体在存续期间产生的收益,即使没有实际分配给个人,也要按年申报纳税。 新规还要求补缴部分自2023年以来与离岸信托有关的历史税款,并提供90天的申报窗口。甚至已经取得外国国籍或海外永久居留权的人,如果主要经济利益仍然来源于中国境内,也可能继续被认定为中国税收居民。 这意味着,过去被许多高净值人士视为财富隔离、代际传承和税务安排“最后一道防线”的离岸信托,也开始被全面穿透。 真正让有产阶层心惊胆战的,或许已经不只是税率本身,而是规则可以追溯多远、身份如何被重新认定,以及政府对个人全球资产图谱究竟掌握到了什么程度。 过去人们问的是:如何把资产放到海外? 现在真正的问题变成了:资产到了海外,是否真的离开了中国的税务体系?

    1.1K20053936665K viewsView on X
  • Jul 19, 202660x their median

    这两天,他们抓香港书店店员的消息布满网络。 当初,香港出了个警察局长当特首,大家就该知道香港会是什么前景。 估计差不多10年前我在节目中对一香港老友说,你得赶紧走。他不信,应该是晚了几年才走,但最终还是走了。记得几年后,我跟他在曼哈顿见面,他开始跟我讨论这个问题。现在他出来了,至少是自由的。 当年,也是我老板跟我说,你得走! 现在看到不少海龟回去,希望他们去搜搜2件事: 1. 当年回去的海龟的结局如何? 2. 当年老蒋让不少人去台湾,他们不去,结果结局如何? 好在这些都是50年之内的历史,忘记也难。

    45242100197K viewsView on X
  • Aug 1, 202617x their median

    国务院关于出境入境管理的规定 我把它叫做《不准出境不准入境条例》 通篇是不准+不准,只准官家不准,不见给老百姓留下丝毫的可制约滥用不准的实体和程序权利。 从第一条到第十九条,没有任何一处明文规定"行政复议"或"行政诉讼"。 完全是不屑呀。 "有可能影响国家安全、刑事案件侦查等情形的,可以不告知当事人" 几乎不要怀疑,这一条将会被行政当局无限放大。等着吧,不少人会哭晕的。

    155016022K viewsView on X
  • Sep 10, 202616x their median

    https://t.co/N4paEVOLTh

    1053271161K viewsView on X
  • Jul 31, 202615x their median

    这个时间点传出前次被架走的胡书记的消息,甚至是他一家子的不详事儿,这是咋回事?

    731791104K viewsView on X
  • Jul 19, 202612x their median

    平时看世界杯足球全场不多。今天跟朋友专门去了一个美国餐馆看英格兰对法国。 开始以为来看球的人不少,还专门预定了2个位置,说要预留靠近大屏幕的。结果去了之后,服务员说靠近大屏幕的位置不少,你随便挑。我一看,好像全餐馆只有我们2人专门来看球。 跟朋友边喝边吃边聊边看进球。不虚此行。法国4:0落后结束上半场。 我嘀咕,当初还有人说你法国队有冠军相,你好歹今天也进个球吧。我说今天这球,英格兰下半场还得进。 结果后半程法国发威,一口气进了4个。英格兰也不示弱,连进带罚再进2球。 这场球看得过瘾。 明天朋友早早约烧烤,看决赛。期待。

    57057117K viewsView on X
  • Aug 1, 20267.7x their median

    目不暇接,昨天HJT的事儿在辟谣,今天接着又带出WJB了。 下面该WQS了?

    47030043K viewsView on X
  • Aug 4, 20267.4x their median

    记得上次温家宝出事说流出,然后他被安排了一次面对海外宣传的豪华亮相

    31043022K viewsView on X
  • Aug 1, 20266.6x their median

    https://t.co/cSnGaYjKWU

    50123155K viewsView on X
  • Sep 11, 20265.7x their median

    纽约时间9点半开始,欢迎收看 https://t.co/4PNZaNw0kl 1. 王维洛为什么在朱镕基去世后,写了《朱镕基与三峡工程的质量》这篇文章? 2. 全球最大水电工程——雅鲁藏布江墨脱水电站群的担忧 3. 尼泊尔-西藏洪水相关问题:在西藏地区加速推进的水电建设是否与该地区的地震和冰川不稳定性相符?…

    8543114K 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 10 interactions against 262K followers, an engagement rate of 0.004%. Posts are seen about 9.2K times each, and 0.109% of those impressions turn into an interaction. That is about 3.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 14% carry an image or video, 29% are part of a thread and 43% link out. The account's strongest tracked post pulled 1.9K interactions, about 189x its own typical post. Only 7 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 陈小平's engagement rate on X?
陈小平 (@xchen156) has an engagement rate of 0.004%, based on the median interactions across 7 original posts from the last 30 days against 262,086 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, 陈小平 sits above the 10th percentile of the 157,374 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 @xchen156 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @xchen156 post?
Most posts go out around 02:00 UTC, and Thursday is its busiest day, at roughly 0.63 posts per day across the measured window.

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