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Channel

长沙电报【老师作业】🅥

@changsha10023

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

28,356subscribers

+2,286 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002673587537
TypeChannel
Username@changsha10023
Description自述每个背后的故事,需要联系请进频道 https://t.me/changsha35
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live26 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/changsha10023

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

26,07028,68427,37711 August 2026 — 26,070 subscribers12 August 2026 — 26,503 subscribers13 August 2026 — 26,378 subscribers14 August 2026 — 26,669 subscribers16 August 2026 — 26,300 subscribers17 August 2026 — 26,552 subscribers18 August 2026 — 26,794 subscribers19 August 2026 — 26,672 subscribers20 August 2026 — 27,080 subscribers21 August 2026 — 26,976 subscribers23 August 2026 — 27,079 subscribers24 August 2026 — 26,707 subscribers25 August 2026 — 27,039 subscribers26 August 2026 — 27,215 subscribers27 August 2026 — 27,644 subscribers28 August 2026 — 27,426 subscribers29 August 2026 — 27,196 subscribers30 August 2026 — 27,533 subscribers31 August 2026 — 27,390 subscribers1 September 2026 — 27,225 subscribers2 September 2026 — 27,012 subscribers3 September 2026 — 26,787 subscribers5 September 2026 — 27,023 subscribers9 September 2026 — 27,105 subscribers11 September 2026 — 27,629 subscribers13 September 2026 — 27,943 subscribers15 September 2026 — 28,677 subscribers17 September 2026 — 28,684 subscribers19 September 2026 — 27,378 subscribers26 September 2026 — 28,356 subscribers28,35611 August 202626 September 2026
30 measurements spanning 46 days, net +2,286. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 25,678–29,076 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
26 Sept 2026, 19:2128,356+978
19 Sept 2026, 17:3927,378-1,306
17 Sept 2026, 05:0028,684+7
15 Sept 2026, 02:0128,677+734
13 Sept 2026, 13:4127,943+314
11 Sept 2026, 17:3527,629+524
9 Sept 2026, 02:3627,105+82
5 Sept 2026, 20:5727,023+236
3 Sept 2026, 18:3826,787-225
2 Sept 2026, 07:5227,012-213
1 Sept 2026, 10:0527,225-165
31 Aug 2026, 13:1327,390-143
30 Aug 2026, 16:1427,533+337
29 Aug 2026, 16:4627,196-230
28 Aug 2026, 19:1227,426-218
27 Aug 2026, 15:3427,644+429
26 Aug 2026, 16:3427,215+176
25 Aug 2026, 17:0527,039+332
24 Aug 2026, 15:0826,707-372
23 Aug 2026, 00:3727,079first reading

Engagement

285 posts held, back to 9 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.63%
avg views ÷ 28,356 subscribers
Avg views / post
1,600
92 posts measured
Reaction rate
0.79%
reactions ÷ views · ER floor
Posts in window
92
of 285 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 89 of 92 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held285 (9 August 2026 – 2 October 2026)
Views total146,880
Reactions total1,124
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 12:09 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈1,470
Videos
≈157
Links
≈802

Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
4m 27s
Average length
6s

Measured directly from 46 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

5,657 reactions across 256 posts, in 9 distinct kinds. The most used accounts for 11.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉67211.9%
👍65511.6%
😍64111.3%
💯63111.2%
❤‍🔥62411.0%
🤩62011.0%
❤60610.7%
🔥60510.7%
🥰60310.7%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 257 of the 285 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5,657 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 285 most recent posts we hold, published 9 August 2026 to 2 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

2 Oct 2026, 06:55 UTC78 views11 reactionsread 2 October 2026
Photo

#长沙外围商家 #长沙上门 #长沙模特老师 ⏱ 日期:10.1 🎀 昵称: #泡泡 ✈️ 外围客服: @huli427100 📍 地区:#全长沙 评价:假期快乐,宜出击 一直听说长沙的娱乐行业名不虚传,今天刷到狐狸家外围老师,放假就是人挤人…拿卡上楼进屋,收拾好东西,联系好客服安排过来,接到老师,一身短裙,妹子质量真的非常ok,沙发上先抱着亲了会儿,手钻进衣服里来回摸。聊了一会儿后,脱👗一起进浴室洗漱,先是漱口水清了口,然后她帮我抹沐浴露,从胸口洗到下面,然后突然给你来一口,水中萧动作很熟😍,几乎不用多说。擦干后进卧室开始正戏。老样子,几个姿势换着来,,声音也不夸张。老师搂着你脖子,边🐍吻,小逼逼也夹的越来越近,一下就出货了,出货完两人抱着躺在床上休息一搭没一搭地聊着天。歇够了起来再冲了冲,回到客厅沙发继续聊着。看了眼时间不早,拥吻后便恋恋不舍的让老师打道回府了

❤3🎉2😍2❤‍🔥1💯1🤩1🥰1

2 Oct 2026, 06:13 UTC71 views10 reactionsread 2 October 2026
Video

⏱️日期:10.2 🎀昵称:#诗瑶 ✈️联系: @shiyao427 📍地区:#真人认证 #长沙 #雨花区 📣过程: 诗性格好,抽奖抽到了p半价。属实不易,祝所有铁子运气➕10086。夜里十一点得知中奖。立马约老师,属于加班了。北方的妹子,遥控上门,进门看见一个性感少妇,穿着黑丝睡衣,短发,人和视频一模一样。先很客气邀请到沙发上闲聊一会,不催,非常给情绪价值。聊了一会天随后脱衣洗澡,擦干坐床上等着老师,(全程帮洗帮擦)在我旁边坐下褪去她的一身衣物,让我躺下给我服务,口技不错,舔蛋也有,随后我开始进攻,紧紧紧紧的一逼,该有的服务都有,口活很认真,口了半天,直接开干,去的属实太晚了凌晨状态不佳,但是老师一点不催,哄着干。无敌。 总体来说非常可以,非常好评态度好。

❤‍🔥3👍3❤1🎉1🤩1😍1

1 Oct 2026, 10:02 UTC≈1,320 views11 reactionsread 2 October 2026
Video

⏱️日期:10.1 🎀昵称:#诗瑶 ✈️联系: @shiyao427 📍地区:#真人认证 #长沙 #雨花区 📣过程: 诗瑶老师先用胸部帮着按摩,软软的触感挺舒服。过了一会儿开始在我身上又舔又亲,弄得人有点发麻,感觉很奇妙。接着直接含住认真吞吐,舌功确实不错,很快就吹硬了。过程中还主动舌吻,吻技很缠绵,让人更容易投入。戴上套后她主动女上,慢慢坐下来,里面水很多,滑进去很顺畅。她先自己摇了一会儿,我找到感觉后把她压到身下,换了几个姿势轮流来。后面改成后入,冲得比较猛,她想叫又不敢太大声,只能捂着嘴,偶尔回头看我一眼,一直配合到最后交货。

🤩4👍2🔥2❤1❤‍🔥1😍1

1 Oct 2026, 10:01 UTC≈1,240 views11 reactionsread 2 October 2026
Photo

⏱️ 日期:10.1 🎀 昵称:#猜猜 ✈️ 联系:📍 @caicai0731 📍 地区:#长沙 #望城 📣 过程: 国庆出击猜猜,黄白皮嫩滑细腻无纹身,胸A,小只萝莉风,练过拉丁,大腿屁股紧实有肉,本人长相和视频8分相似,没照片柔和和圆润。基础服务,服务水平一般,可以舌吻,做爱反馈佳,会叫床,兴奋时候叫床明显。事后聊天舒适,邻家妹妹。听话型女大嫩妹。

😍4👍2❤1❤‍🔥1🎉1💯1🥰1

1 Oct 2026, 09:59 UTC≈1,220 views11 reactionsread 2 October 2026
Photo

⏱ 日期:10.1 🎀 昵称: #芯妍 ✈️ 联系:📍 @xinyan8881 📍 地区:#长沙 #天心区 📣 过程: 老师国庆都没有休息,偶尔来逛逛电报对上眼缘正好在附近立马约上。人照一致,态度非常好,真是兼职大学生,去了绝对不亏的。在整体轻松融洽的氛围中被秒了。回去还得练腿啊。总之推荐来支持下。

👍3🤩3😍2❤‍🔥1🎉1💯1

1 Oct 2026, 09:57 UTC≈1,220 views11 reactionsread 2 October 2026
Photo

⏱️ 日期:9.30 🎀 昵称:#白若溪👉 ✈️ 联系: @arb3366 📍 地区:#长沙 #雨花区 📣过程: 出击上榜老师白若溪,硬件:颜值看着还行,但是妹子不喜欢开灯,视力不好,看的不是很清楚,只知道奶子特别大,揉起来很爽很有弹性,形状也很挺拔。 软件:进门后感觉妹妹比较害羞,就没有要求陪浴,我自己洗澡,自己擦干来到床上,先躺在怀里聊几句,也顺便摸摸奶子,不得不说,这奶子是很不错的,温存了会就口,口活比较轻盈,稍微弄了几下,就给我个套,我自己带上,先传教士开凿,嘬着奶子凿也很爽,凿了会切换姿势女上,后入,趴着后入均尝试了下,顺利出货。美滋滋的洗澡走人。 课室:浦东高层公寓有电梯。 硬件还可以的嫩妹,泄泄火还是挺不错的。

🎉3🔥2🥰2❤1❤‍🔥1👍1😍1

1 Oct 2026, 05:55 UTC≈1,290 views10 reactionsread 2 October 2026
Photo

⏱日期:9.30 🎀 昵称:#诗诺 ✈️ 联系:@shinuo89899 📍地区: #岳麓区 📣过程: 趁着活动约的下午去的刚进门看到老师的颜值就被呆住 了,真的是我的理想型(个人观点)进门之后老师会详细讲解项目内容与服务洗完澡后就正式开始服务了先是正常spa按摩手法很娴熟人也很温柔老师性格外向很有职业操守一边陪你聊着天一边按摩老师的手法可以称上妙手有力气后面前高的时候实在是刺激最后也是暴力喷发老师聊天很幽默不会感到尴尬

😍3❤2❤‍🔥1🎉1🔥1🤩1🥰1

30 Sept 2026, 08:52 UTC≈1,520 views11 reactionsread 2 October 2026
Photo

⏱日期:9.30 🎀 昵称:#球球 ✈️ 联系:@shkk59 📍地区:#长沙 #上门 📣过程: 皮肤质地偏滑,可能夏天刚过有点晒色痕迹,观感无碍。熊C以上,屁股也有肉,还不错。自洗自擦 口 做 (应该是主打加钱特服的,我没要) 水多逼热 一口一个老公 对课表特服有需求的兄弟可以去,对特服某些项目反感的就比较普通了。

🔥3❤2❤‍🔥2🥰2👍1😍1

30 Sept 2026, 08:47 UTC≈1,610 views10 reactionsread 2 October 2026
Video

⏱日期:9.30 🎀 昵称: #上官云珠👉 ✈️ 联系: @cskeke001 📍地区:#真人认证 #长沙 #雨花区 📣过程: 颜值属于耐看类型. 屁股有肉. 妹子YYY很认真,洗干净上床,先大蟒蛇,舌头缠绕一下下激情澎湃,接着嫩妹三点口,口的小弟弟酥酥麻麻,又深了几下没到底但是蛮舒服. 不忘观察一下小穴很嫩,没什么毛. 搞硬了戴套女上起,观音座莲,然后女上摇摇,感觉妹子会夹,都要快被夹出来了马上叫停,传教士,后入两个姿势,下水噗噗的声音,妹子不肯喊出声,就是哼哼,最终换到女上,老师体力真不错,继续女上摇摇,差不多3-4分钟,一下子我先叫了声出货了. 妹子体贴脱掉套子去冲掉. 床上休息了一下去洗澡然后沙发上聊了聊,感觉妹子比刚才更放得开了,怎奈时间差不多了只能不舍离去,听说妹子过几天还要换工作室,所以要去的大家抓紧!总结:慢热型嫩妹,来自湖南,天然胸型很漂亮,性格很温柔,做爱有自己一套,女上很厉害!

🥰3❤2🤩2😍2👍1

30 Sept 2026, 08:44 UTC≈1,550 views10 reactionsread 2 October 2026
Photo

⏱日期:9.29 🎀 昵称:#梦梦 ✈️ 联系: @MM5208889 📍地区:#长沙 #岳麓区 📣过程: 约了老师pp,照片去掉美颜就行,身高应该有165,苗条,一对大灯出乎意料亮眼、软、挺、滑。嫰妹服务相对生疏,没有69相对可惜,不过苗条的身材再配上顶配大灯,真的绝了,可以冲!

❤‍🔥3🥰2😍2❤1👍1🔥1

30 Sept 2026, 07:27 UTC≈1,500 views10 reactionsread 2 October 2026
Photo

⏱日期:9.29 🎀 昵称: #索菲亚👉 ✈️ 联系: @suofeiyacsy 📍地区:#真人认证 #长沙 #雨花区 📣过程: 早就听说长沙有洋酒,今天出击了一次,味道确实不一样,外国人够烧够主动,拿着我的鸡巴爱不释手,要整根吞进去,唯一的美中不足就是身体有味道

👍2💯2🤩2❤1🎉1🔥1🥰1

30 Sept 2026, 07:24 UTC≈1,460 views10 reactionsread 2 October 2026
Video

⏱️ 日期:9.30 🎀 昵称:#小依晨 ✈️ 联系: @xyc1655 📍 地区:#真人认证 #雨花区 📣过程: 身材硬件这一块真的是一级棒一对大白兔挺,嫩,绝美又大又挺,相处做的时候每一个动作都配合的到位给人特别的爽歪,服务细节都很到位,不偷时间不墨迹吧,反差感足,属于是一线天,完美好看。逼逼毛少量,其次性格方面也很不错,综合满分,还是很不错的吧,值得推荐去出击,主打年龄小

🎉2😍2❤1❤‍🔥1👍1💯1🔥1🥰1

Showing the 12 most recent of 285 posts we hold for @changsha10023. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 September 2026 — this entry's latest reading, not the date you are reading this.

“长沙电报【老师作业】🅥” (@changsha10023), 28,356 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/changsha10023.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.