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李老师不是你老师 engagement report

@whyyoutouzhele - 2.3M followers on X

Measured over 635 original posts from a 30-day window, last computed on October 31, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 2.3M followers
Per impression
0.573%
72K views on a typical post
Reach
3.16%
of its followers see a post
Typical post
412
interactions (median)
Saved
0.071%
51 bookmarks on a typical post
Posting rate
41.03/day
active 103% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 412 interactions against 2.3M followers, an engagement rate of 0.018%. Measured over 635 original posts, its engagement rate beats 42% of 21,624 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 72K times each, and 0.573% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 41 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 635 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 24K interactions, about 61x its own typical post. Recurring topics include #赛博信访局, #上访词典.

Measured over 635 original posts from a 30-day window, last computed on October 31, 2026. Recurring tags: #赛博信访局, #上访词典.

Compared with accounts its own size

李老师不是你老师's engagement rate beats 42% of the tracked X accounts closest to it in follower count (21,624 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 33% 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 0.018%, 李老师不是你老师 sits above the 10th percentile of the 217,857 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.6%
Engagement rate as a share of followers, across the 217,857 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,725 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.6%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video100% of posts+111%+108% to +115%34K
Outbound link1% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 1% 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 234 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

  • Oct 13, 202261x their median

    今日北京海淀四通桥,在二十大前夕最为严控的北京,有人挂起了两条横幅 一条是 不要核酸要吃饭,不要文革要改革 不要封城要自由,不要领袖要选票 不要谎言要尊严,不做奴才做公民 一条是 “罢课罢工罢免国贼习近平” 目前尚不知道照片里的黄烟是什么情况 https://t.co/Xrm7Fgx5bc

    19K3.6K899688View on X
  • Oct 26, 202658x their median

    法国球星姆巴佩称,自己最喜欢的表情包是中国独裁者毛泽东。 10月26日,法国球星姆巴佩在一段采访中被问到"用他头像、最让他发笑的meme"时,他表示:“最让我发笑的那个,就是那个把我的脸放到中国独裁者(毛泽东)脸上的表情包,我在线上和朋友玩 PlayStation时经常使用这个meme。” 随后懂球帝发布声明,表示由于相关发言“涉及对中国和中国人民的伤害”,因此不予翻译;同时呼吁球迷理性观赛、不作越界发言。

    19K1.2K3.1K33215M viewsView on X
  • Jun 26, 202640x their median

    突发,6月26日傍晚,北京中信大厦(中国尊)被一架小型飞机撞击,原因不明。 https://t.co/Y2DyUHNxnl

    13K1.1K1.1K17023M viewsView on X
  • Sep 20, 202625x their median

    “疑似青海前文旅厅长开网约车” 近日,有网友到青海西宁旅游时打车,途中司机师傅熟练介绍当地风土人情。 视频画面显示,这位司机对青海省的行政划分、民族构成、地理特征都能清晰道来,专业程度远超普通司机。 随后有网友认出,这位司机疑似是前两年因违规饮酒被撤职的青海省文旅厅原厅长王学文。 https://t.co/ZMZqXHznXZ

    9.4K540390153.2M viewsView on X
  • Aug 18, 202621x their median

    8月18日,重庆时代峰峻抗议现场 当晚8点,现场冲突升级。几名女粉丝遭遇现场抗议者围堵挑衅。 随后女粉丝将手中冰块泼出,旋即遭遇现场抗议者泼水,飞踹。 警察抓捕带走数人。 https://t.co/MCKkKXtKVk

    7.1K2871.0K1022.6M viewsView on X
  • Dec 14, 202520x their median

    12月14日,一名吉林的摩托车主,在抖音刷到了自己被交警扣留的摩托车,出现在了非洲刚果的街头。 https://t.co/e1jtZDHEwO

    7.5K624287422.1M viewsView on X
  • Oct 28, 202620x their median

    Kylian Mbappé a eu entièrement raison de qualifier Mao Zedong de dictateur. Les dizaines de millions de morts dont Mao est responsable et la nature totalitaire de son régime sont confirmés par tous les historiens. Kylian Mbappé n'a donc pas exprimé une opinion mais des faits établis. Dans une époque où les sciences sont remises en question chaque jour par les partisans de l'autoritarisme, ce n'est jamais inutile de le rappeler. Et céder systématiquement aux pressions économiques de la Chine est un signe de faiblesse. C'est avouer que ce en quoi nous croyons a moins de valeur que ce que nous avons à vendre.

    6.4K5741.1K318590K viewsView on X
  • Aug 25, 202618x their median

    网友投稿 近日,一张华为上海旗舰店与公共厕所路牌的合照在网上爆火,引发众多游客前往现场打卡。 25日,有网友发现,华为已迅速“派驻”警察在路牌周围驻守,禁止游客拍照打卡。 https://t.co/OftYt2Ht8I

    6.4K401687261.9M viewsView on X
  • Jun 1, 202418x their median

    6月1日,著名打假网红“铁头”发布了自己前往靖国神社,在石柱上撒尿用红漆涂写英文“厕所”的视频。 据悉,此举是为了兑现他此前“2024年12月31日前,去小日本干他们,干两个地方”的承诺。 铁头曾因拍摄打假题材视频引发网友关注,但在今年二月,因在直播中自曝嫖娼经历而被国内全平台封禁。 https://t.co/4EszchaDdQ

    5.0K7201.4K2634.3M viewsView on X
  • Nov 29, 202516x their median

    11月28日,央视联合美团发布了一段短片,片中一名做平面设计的白领辞职,就想转行送外卖。 她说,外卖带给我的不只是一份工作,还有能随时欣赏沿途风景的自由,以及一个能随时切换的身份,让我感觉离梦想更近一点。 目前该短片已被央视下架。 https://t.co/GOwD6YuJDE

    5.8K5935201225.6M 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.

Recurring topics

#赛博信访局#上访词典

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 412 interactions against 2.3M followers, an engagement rate of 0.018%. Measured over 635 original posts, its engagement rate beats 42% of 21,624 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 72K times each, and 0.573% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 41 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 635 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 24K interactions, about 61x its own typical post. Recurring topics include #赛博信访局, #上访词典.

What is 李老师不是你老师's engagement rate on X?
李老师不是你老师 (@whyyoutouzhele) has an engagement rate of 0.018%, based on the median interactions across 635 original posts from the last 30 days against 2,277,817 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, 李老师不是你老师 sits above the 10th percentile of the 217,857 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 @whyyoutouzhele have real engagement?
Its engagement rate beats 42% of the tracked X accounts closest to it in follower count (21,624 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 @whyyoutouzhele post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 41.03 posts per day across the measured window.

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