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🇨🇳 大牛🇨🇳 engagement report

@Appraiser008 - 191K followers on X

Measured over 75 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.026%
of 191K followers
Per impression
0.626%
8.0K views on a typical post
Reach
4.20%
of its followers see a post
Typical post
50
interactions (median)
Saved
0.063%
5 bookmarks on a typical post
Posting rate
2.9/day
active 33% of days
Peak time
03:00 UTC
Sunday

A typical post picks up 50 interactions against 191K followers, an engagement rate of 0.026%. Measured over 75 original posts, its engagement rate beats 36% 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 8.0K times each, and 0.626% of those impressions turn into an interaction. That is about 4.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 75 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 954 interactions, about 19x its own typical post.

Measured over 75 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

🇨🇳 大牛🇨🇳's engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 31% 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 0.026%, 🇨🇳 大牛🇨🇳 sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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 video33% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 0% 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 269 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

  • Sep 30, 202619x their median

    为什么中华民国最后败了? 有人把民国的失败归结于某个人、某场战役。 其实根子不在人,而在版本:制度太过先进,社会认知却跟不上。 民国一开局便是满级配置:议会、宪法、政党、内阁、新闻自由一应俱全。 可普通民众的思想还停留在旧时代,忠诚对象是家族、地主、军阀与皇权,对“国家”没有清晰概念。 在他们眼中,“选举”等同于地方分赃,“反对派”就是造反领袖。 致命问题就在这里:成熟的民主制度中,反对派是下一轮轮替的候选人;可民国一旦选举落败,就直接掀桌子。 议会输不起,政党不承认败选,军事失利,政权合法性便直接清零,每一次挫折都被视作“改朝换代”的信号。 军队战败政权就覆灭,这套逻辑适配古代王朝,放在宪政体系里却是死局。 民国始终没能解决一个核心问题:输了,能不能不掀桌? 制度是软件,社会认知是硬件。 软件再先进,硬件支撑不了,照样会蓝屏。

    6206525514163K viewsView on X
  • Sep 13, 202613x their median

    这招绝杀,怎么解? https://t.co/pKUmIisywB

    382222310214K viewsView on X
  • Oct 12, 20268.6x their median

    她肯定不是来参加公司团建的,她是来进货的!😂 https://t.co/MQlqG09c7t

    272161393285K viewsView on X
  • Sep 15, 20265.5x their median

    最近北京的一个赛事上了热搜! 不是因为澳大利亚的小姐姐比赛中窜稀后拿了第一,也不是因为75岁的王石参加这个赛事,取得了第四名,而是因为王石在大屏上找不到自己的名字——因为他的名字被标成了“石王”。 全场中国选手,名字全被套上西方格式,姓放后面:杜法峥变“法峥杜”,李世豪变“世豪李”。 一场在中国办、几乎全是中国人的比赛,名字、成绩单却集体写反。 不是技术不会,是压根没把中国观众当回事。 比赛名次可以照抄国际,姓名的写法,还得按中国自己的规矩来,连自己人的名字都不会好好写,还谈什么国际化!

    1772078242K viewsView on X
  • Sep 13, 20264.7x their median

    好大一个瓜啊!可惜没吃上!😂 https://t.co/RF5STczx6J

    2071790124K viewsView on X
  • Sep 13, 20264.7x their median

    我很好奇, 张元英在韩国娱乐圈安全吗? 这么美貌又好的身材, 不会被韩国财阀盯上吗? https://t.co/RUWzGHgphe

    699155042K viewsView on X
  • Sep 15, 20264.6x their median

    老胡这回是真栽了,肠子估计都悔青了。好好去招惹汤家凤老师干嘛? 人家摆事实、讲道理,戳得他哑口无言。 以前说啥都有人捧场,如今风向变了——越来越多人不惯着他,你阴阳怪气,我就拉清单;你装糊涂,我就摆数据。 惹谁不好,偏惹一个较真儿讲理的,这不是给自己找不痛快嘛。 网上就是这样,捧你是情分,不惯你是本分。 你看,这就是传说中的“踢到铁板”!😂

    138786183K viewsView on X
  • Sep 13, 20264.4x their median

    看了个视频把我震惊了:小姐姐枪拔出来,咔一下直接扔了,就是不肯放回去。 搁谁都看不懂——拔都拔了,装回去很难吗? 后来琢磨明白了,这哪是枪的事,是人的事:气上头的时候,动作比脑子快。 也许她在家里干啥完事了,都是拔了就扔? 扔出去是解气,捡回来是丢人。 很多冲动,都是这么扔出去的! https://t.co/emYIVPfJ4C

    16314432114K viewsView on X
  • Sep 16, 20263.8x their median

    扶梯上有人对着女孩意图不明! 旁边一男子看到了,默默拿衣服上前遮挡,结果女孩转头一看,以为是他有坏心思,当场就火了。 扶梯空间窄、人多、距离近,一个善意被误读,不是谁对谁错,是信息差。 真相晚到一步,误会就先到了——可被误会的那个,有多少人愿意等真相? https://t.co/hYkXm4A9GU

    92790180K viewsView on X
  • Oct 10, 20263.6x their median

    日本人的体面是全球闻名的。 马桶圈是热的,鞠躬是九十度的,垃圾分类能分出几十种,连扔个垃圾都要预约。 结果最近日网上接连冒出女性在户外随地大小便的视频,看得人眼镜碎一地。 网传第一个发帖的还是东京大学的高材生。 消息真假先放一边,日本人自己先炸了锅。 也难怪,平时把自己包装得越干净,露馅的时候越难看。 体面这东西,装得越用力,破得越响。 全世界的滤镜,都是拍摄角度挑出来的。

    1201739233K 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 50 interactions against 191K followers, an engagement rate of 0.026%. Measured over 75 original posts, its engagement rate beats 36% 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 8.0K times each, and 0.626% of those impressions turn into an interaction. That is about 4.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 75 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 954 interactions, about 19x its own typical post.

What is 🇨🇳 大牛🇨🇳's engagement rate on X?
🇨🇳 大牛🇨🇳 (@Appraiser008) has an engagement rate of 0.026%, based on the median interactions across 75 original posts from the last 30 days against 190,580 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.026%, 🇨🇳 大牛🇨🇳 sits above the 25th percentile of the 205,261 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 @Appraiser008 have real engagement?
Its engagement rate beats 36% 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 @Appraiser008 post?
Most posts go out around 03:00 UTC, and Sunday is its busiest day, at roughly 2.9 posts per day across the measured window.

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