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政经鲁社长 engagement report

@xzzzjpl - 742K followers on X

Measured over 63 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.118%
of 742K followers
Per impression
0.235%
369K views on a typical post
Reach
50.2%
of its followers see a post
Typical post
868
interactions (median)
Saved
0.019%
71 bookmarks on a typical post
Posting rate
3.53/day
active 83% of days
Peak time
08:00 UTC
Friday

A typical post picks up 868 interactions against 742K followers, an engagement rate of 0.118%. Measured over 63 original posts, its engagement rate beats 74% of 20,182 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 369K times each, and 0.235% of those impressions turn into an interaction. That is about 49.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 63 posts sampled, 43% carry an image or video, 8% are part of a thread and 16% link out. The account's strongest tracked post pulled 9.7K interactions, about 11x its own typical post.

Measured over 63 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

政经鲁社长's engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,182 accounts, accounts of similar size (decile 10 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 17% 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 0.118%, 政经鲁社长 sits above the 25th percentile of the 204,491 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 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 percentile0.677%
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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video43% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 43% 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.
  • 16% 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 141 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

  • Aug 26, 202611x their median

    一个口岸的人,说没就没了。在大自然面前,人类还是太脆弱了。 https://t.co/9PpD3UMbF5

    8.1K600974532.8M viewsView on X
  • Sep 9, 20269.5x their median

    讲个扎心的事实: 程序员失业后,一般不会直接去送外卖。 而是先走完: 独立开发 → 跨境电商 → 炒股炒币 → 做自媒体 全部折腾一遍以后, 才正式解锁: 外卖、快递、网约车——铁人三项。

    6.8K479868961.2M viewsView on X
  • Aug 12, 20268.5x their median

    是非成败,留给后人评说吧。再见,朱先生! https://t.co/MgPrsy7kl3

    5.9K2461.1K1022.3M viewsView on X
  • Aug 27, 20266.0x their median

    爱和不爱,差别如此之大:景女士跟张先生在一起的时候,在后背纹了他的名字,给他花了很多钱;到了孙哥这里,就是各种要钱,3000万不够,还得5000万美金。孙哥在前女友那里,可谓一毛不拔,生病了估计都不舍得送医院,却在白月光面前,答应了各种包场的要求,前后花了近五千万人民币。年轻人,一定要找个爱你的人啊!

    4.5K23939629870K viewsView on X
  • Sep 7, 20265.2x their median

    这位副局长,今天被割断颈动脉而亡。当官有风险,入行请谨慎。 https://t.co/a22s0fMyEv

    3.1K2201.1K241.3M viewsView on X
  • Sep 4, 20265.0x their median

    某副国级领导人的女婿,也是一个80后小帅哥,正厅级干部,给比自己大二十岁的大姐介绍对象,后来干脆自己上了。大姐为了给他送政绩,在他挂职的城市盖了个酒店。这位大姐黑白通吃,在全国也是无人不知,我不敢透露她的任何信息。懂的都懂。这就是糜烂的上层社会。

    3.2K127992113.1M viewsView on X
  • Aug 12, 20264.9x their median

    习近平为什么要顶格纪念江泽民?因为是老江选择了老习,老江是老习合法性的重要来源。老江越伟大,他选择的人也越正确。死人,难免沦为活人的工具。

    3.3K80821131.1M viewsView on X
  • Sep 20, 20264.8x their median

    小知识:世界上共有197个国家,其中包括195个主权国家和2个准主权国家(库克群岛和纽埃)。截止目前为止,共有138个国家做到了对外公布官员财产。 老鲁的疑问:中国付出了这么大的精力反腐败,为什么不落实这个制度?中国的国情,跟这138个国家都不一样吗?

    3.4K18061721668K viewsView on X
  • May 24, 20264.5x their median

    我发现一个规律:此前盛传王忠林要接班公安部长,结果湖北爆发了烟花爆竹事件,王忠林的老巢济南接连发生几件贪腐案件;此后流传沈晓明有望晋升,结果又发生浏阳烟花爆炸事件;覃伟中流传接任深圳市委书记,结果被人家举报;任振鹤流传接任云南省委书记,结果弟弟接受调查;这回流传卢东亮接任云南书记,很快山西发生了大矿难。这一切,为什么这么巧合。你这么看?

    1.6K842.3K61.3M viewsView on X
  • Aug 30, 20264.3x their median

    孙哥这次玩大了,估计香港也去不了了。网已张开,等你进来………

    2.8K60793291.5M 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 868 interactions against 742K followers, an engagement rate of 0.118%. Measured over 63 original posts, its engagement rate beats 74% of 20,182 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 369K times each, and 0.235% of those impressions turn into an interaction. That is about 49.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 63 posts sampled, 43% carry an image or video, 8% are part of a thread and 16% link out. The account's strongest tracked post pulled 9.7K interactions, about 11x its own typical post.

What is 政经鲁社长's engagement rate on X?
政经鲁社长 (@xzzzjpl) has an engagement rate of 0.118%, based on the median interactions across 63 original posts from the last 30 days against 741,885 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.118%, 政经鲁社长 sits above the 25th percentile of the 204,491 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 @xzzzjpl have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,182 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 @xzzzjpl post?
Most posts go out around 08:00 UTC, and Friday is its busiest day, at roughly 3.53 posts per day across the measured window.

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