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小径残雪 engagement report

@xiaojingcanxue - 238K followers on X

Measured over 33 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Middle of its size range
Per follower
0.076%
of 238K followers
Per impression
0.622%
29K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
182
interactions (median)
Saved
0.116%
34 bookmarks on a typical post
Posting rate
1.97/day
active 30% of days
Peak time
19:00 UTC
Tuesday

A typical post picks up 182 interactions against 238K followers, an engagement rate of 0.076%. Measured over 33 original posts, its engagement rate beats 45% of 6,874 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 29K times each, and 0.622% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 97% carry an image or video and 12% are part of a thread. The account's strongest tracked post pulled 12K interactions, about 65x its own typical post.

Measured over 33 original posts from a 30-day window, last computed on September 10, 2026.

Compared with accounts its own size

小径残雪's engagement rate beats 45% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 6 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 30% 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 0.076%, 小径残雪 sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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 19:00 UTC, and Tuesday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video97% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 97% 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 77 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • May 26, 202365x their median

    What if we set GPT-4 free in Minecraft? ⛏️ I’m excited to announce Voyager, the first lifelong learning agent that plays Minecraft purely in-context. Voyager continuously improves itself by writing, refining, committing, and retrieving *code* from a skill library. GPT-4 unlocks a new paradigm: “training” is code execution rather than gradient descent. “Trained model” is a codebase of skills that Voyager iteratively composes, rather than matrices of floats. We are pushing no-gradient architecture to its limit. Voyager rapidly becomes a seasoned explorer. In Minecraft, it obtains 3.3× more unique items, travels 2.3× longer distances, and unlocks key tech tree milestones up to 15.3× faster than prior methods. We open-source everything. Let generalist agents emerge in Minecraft! Welcome you all to try today: https://t.co/1d3YocozsI Paper: https://t.co/JcWEasgtyI Code: https://t.co/KsvVf7rcl0 Deep dive with me: 🧵

    8.9K1.9K3446153.9M viewsView on X
  • Sep 8, 20269.7x their median

    太子奶集团总裁李途纯去世。称自己含冤入狱后,160亿资产被勾结湖南政府的权贵瓜分。 https://t.co/FvGr0mtfDK

    1.3K1663173205K viewsView on X
  • Sep 8, 20268.0x their median

    梗图:在中国,所有问题最终都能简化为同一个问题,就是中国人到底算不算人。 https://t.co/QhCYSWfTzV

    1.3K6957059K viewsView on X
  • Sep 4, 20266.9x their median

    中国三大航,国航、南航、东航,上半年全部严重亏损。为什么?你怎么看? https://t.co/IJVdUzyolb

    1.0K841408160K viewsView on X
  • Sep 8, 20265.6x their median

    邓煜谈AI浪潮下数学家们的焦虑,以及表示自己如果被AI替代,就去写百合文。 https://t.co/YiHf8mJBFb

    7914316516137K viewsView on X
  • Sep 10, 20265.1x their median

    以前那种人品好、有学问、敢于为老百姓发声的知识分子,为什么现在看不到了? https://t.co/4jROQVA50d

    8115956129K viewsView on X
  • Sep 8, 20264.4x their median

    人家都是体制内的,你比得了吗 https://t.co/yGbg1NUqe4

    65980584119K viewsView on X
  • Sep 4, 20263.6x their median

    昨天的特朗普的新语录:加拿大是比中俄更大的威胁,欧洲需要归还美国援乌克兰的钱。 这些疯话不准备多评了。今天贴一下福山的评论:特朗普始终亲苏、亲俄,不能指望他对乌克兰有更多同情: “他基本上一直都亲俄。这件事我们这么多年来始终想不明白。 20世纪80年代,苏联还没有解体时,他就去过莫斯科。后来,他又花了几万美元在《纽约时报》刊登广告,把冷战时期的对峙归咎于北约,还说美国不应该继续给北约出钱,因为北约都快把美国的钱掏空了。 所以几十年来,他先是亲苏,后来又亲俄,这种立场其实一直没怎么变。确实很奇怪,也没人真正说得清他为什么会这样,但这一直是他非常明显的一贯倾向。 我一点也不相信他现在真的开始同情乌克兰了。他之所以感到恼火,是因为他原本以为俄罗斯能够打败乌克兰,逼乌克兰坐下来接受某种和解。可俄罗斯没有做到,这让他很不满。 但这并不意味着他改变了立场,更不意味着他已经站到了乌克兰一边。”

    47264111778K viewsView on X
  • Sep 8, 20263.1x their median

    高层小区缺乏维护后贫民窟化会是什么情况?以南阳某小区为例。/1 https://t.co/mxNVADzLsU

    398461084156K viewsView on X
  • Sep 6, 20262.7x their median

    罗女士在网上发了一条强拆现场视频被认为是假的,判了一年八个月。案件两次发回重审发现是真的。检察院撤诉。 这不是新闻,新闻是那条普法提醒:“网上剪辑拼接,发布不实信息风险巨大”。 但诬告没风险,反正赔偿是纳税人出。 https://t.co/nvA5fwaErt

    3605675436K 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 182 interactions against 238K followers, an engagement rate of 0.076%. Measured over 33 original posts, its engagement rate beats 45% of 6,874 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 29K times each, and 0.622% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 97% carry an image or video and 12% are part of a thread. The account's strongest tracked post pulled 12K interactions, about 65x its own typical post.

What is 小径残雪's engagement rate on X?
小径残雪 (@xiaojingcanxue) has an engagement rate of 0.076%, based on the median interactions across 33 original posts from the last 30 days against 238,358 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.076%, 小径残雪 sits above the 25th percentile of the 65,980 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 @xiaojingcanxue have real engagement?
Its engagement rate beats 45% of the tracked X accounts closest to it in follower count (6,874 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 @xiaojingcanxue post?
Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 1.97 posts per day across the measured window.

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