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小径残雪 engagement report

@xiaojingcanxue - 239K followers on X

Measured over 54 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.08%
of 239K followers
Per impression
0.64%
30K views on a typical post
Reach
12.5%
of its followers see a post
Typical post
191
interactions (median)
Saved
0.122%
36 bookmarks on a typical post
Posting rate
4.07/day
active 53% of days
Peak time
19:00 UTC
Friday

A typical post picks up 191 interactions against 239K followers, an engagement rate of 0.08%. Measured over 54 original posts, its engagement rate beats 55% 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 30K times each, and 0.64% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 54 posts sampled, 94% carry an image or video and 11% are part of a thread. The account's strongest tracked post pulled 12K interactions, about 65x its own typical post.

Measured over 54 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

小径残雪's engagement rate beats 55% 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 32% 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 0.08%, 小径残雪 sits above the 25th percentile of the 204,880 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 204,880 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 percentile0.678%
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 19:00 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: 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: 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 video94% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 94% 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 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

  • 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 24, 202632x their median

    二流一流:在今天的中国,有两门学科是禁忌,除了大家都懂的逻辑学,还有一门是心理学。 https://t.co/tQWTgWQl4g

    5.0K96010733285K viewsView on X
  • Sep 23, 202616x their median

    原来我们都错怪川普总统了,他站在习近平旁边就这么一直憋着,直到B-1枪骑兵震耳欲聋的直接从习进平头顶突然轰鸣掠过,川普一脸坏笑实在憋不住了,转头对习近平就是一句:“声音真大!”川普总统真懂怎么震慑人心,不佩服不行。这边眼看着习近平脸就黑了下来,只见他眼角余光一扫,立刻转头对着川普总统换上人畜无害的招牌笑容,言不由衷的向川普总统一顿猛夸。只不过,铁青色脸色那是任谁都看得出啊。这也不能怪他,自他掌权以来,“拳打北美猛虎,脚踢南海苍龙”,人类命运共同体的缔造者什么时候受过这种鸟气!

    2.5K22427329916K viewsView on X
  • Sep 8, 20269.2x 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 25, 20267.7x their median

    这篇论文很有意思。讲的是“威权政府如何控制新闻”。 一般人都这么想,政府控制的新闻源,应该只讲好消息,不讲坏消息吧。这篇论文的研究挑战了这个想法:俄罗斯并没有大批量删除坏消息。 作者整理了1999-2016年俄罗斯主要几大新闻台的每日新闻文本,得出了这个结论。 为什么呢?因为删除坏消息很容易,但你无法删除个人体感——工资有没有涨、工作稳定不稳定、财富有没有损失、生活质量有没有提升等等。 如果在个人体感很差的背景下,新闻还一直宣传“好、稳、幸福”,则会蚕食自己的可信度。 那怎么办呢? 进而作者从大量数据中得出了更深层的结论: 当你无法改变事实是,那么就改变“归因”——从“发生了什么”,到“为什么发生”。 比如俄罗斯股市如果暴跌,你如果不报道,股民还是很清楚自己的钱包缩水,甚至还会在“背地”里骂。 与其这样,不如报道股市暴跌,但把原因归为外部金融市场波动、游资机构收割等“罪魁祸首”。 作者以此逻辑整理出——在17年的样本数据里,俄罗斯第一频道提及的好消息中,有25%会出现普京的名字(直接联系在一起)。 而提及的坏消息中,有(你猜)会出现普京的名字。 (答案)趋近于0%。 为什么是趋近于0%?作者提及,因为在一些坏消息中,要突出外部原因的同时,还得表现“没有普京会更差”的对比感。 举个例子。 你问你娃今天考试考了几分。你娃说60分。你听了刚想发飙。你娃说你还记得那个谁,上次考了全班第三,这次只考了65分。我这次要不是用心复习,肯定要不及格。 多聪明。参照物有了,选择性的找了一个那个谁。把“劣势”反过来说成“进步”。 这就是作者的核心发现。 事实决定你看见什么,叙事决定你相信什么。

    1.2K195561784K viewsView on X
  • Sep 8, 20267.6x 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 24, 20266.9x their median

    前北京科技报记者,著名食品领域科普博主洪广玉,被辽宁警方以“寻衅滋事”罪赴厦门跨省抓捕。刑事拘留在大连看守所。并且不让会见律师。 https://t.co/lOXicPdU5e

    9781551765151K viewsView on X
  • Sep 4, 20266.6x 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 24, 20265.7x their median

    历史:49年起义响应但在50年镇反运动中被处决的27名国民党将领。 https://t.co/1ex7D6cmWM

    8031531201383K viewsView on X
  • Sep 8, 20265.3x 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

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 191 interactions against 239K followers, an engagement rate of 0.08%. Measured over 54 original posts, its engagement rate beats 55% 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 30K times each, and 0.64% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 54 posts sampled, 94% carry an image or video and 11% 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 0.08%, based on the median interactions across 54 original posts from the last 30 days against 238,744 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.08%, 小径残雪 sits above the 25th percentile of the 204,880 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 55% 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 @xiaojingcanxue post?
Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 4.07 posts per day across the measured window.

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