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❤3👍2

Channel
@CSLiuSan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry
26,097subscribers
+4,477 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001775378993 |
|---|---|
| Type | Channel |
| Username | @CSLiuSan |
| Description | 频道收录柳三秒的地下说唱 交流群: @Xunhua0731 报告&吃瓜: @CSLiu3 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/CSLiuSan |
Music — 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 95% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 02:59 | 26,097 | +97 |
| 4 Nov 2026, 03:19 | 26,000 | +32 |
| 2 Nov 2026, 23:58 | 25,968 | +88 |
| 2 Nov 2026, 01:08 | 25,880 | +52 |
| 1 Nov 2026, 01:50 | 25,828 | -39 |
| 30 Oct 2026, 22:36 | 25,867 | -10 |
| 30 Oct 2026, 00:45 | 25,877 | -41 |
| 29 Oct 2026, 00:00 | 25,918 | -28 |
| 27 Oct 2026, 22:50 | 25,946 | +36 |
| 27 Oct 2026, 00:14 | 25,910 | -50 |
| 26 Oct 2026, 03:00 | 25,960 | +6 |
| 25 Oct 2026, 00:58 | 25,954 | +21 |
| 24 Oct 2026, 02:39 | 25,933 | -48 |
| 23 Oct 2026, 02:28 | 25,981 | -102 |
| 22 Oct 2026, 05:08 | 26,083 | +23 |
| 21 Oct 2026, 01:46 | 26,060 | +49 |
| 20 Oct 2026, 01:47 | 26,011 | +35 |
| 18 Oct 2026, 23:49 | 25,976 | +77 |
| 18 Oct 2026, 00:39 | 25,899 | -35 |
| 16 Oct 2026, 21:27 | 25,934 | first reading |
67 posts held, back to 27 July 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 128 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 67 (27 July 2026 – 4 November 2026) |
| Views total | 68,001 |
| Reactions total | 154 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 08:03 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.
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 18 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.
731 reactions across 63 posts, in 14 distinct kinds. The most used accounts for 66.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 489 | 66.9% | |
| 👍 | 56 | 7.66% | |
| 🤡 | 38 | 5.20% | |
| 🌚 | 29 | 3.97% | |
| 🤮 | 29 | 3.97% | |
| 😁 | 23 | 3.15% | |
| 🤣 | 20 | 2.74% | |
| 💩 | 13 | 1.78% | |
| 👏 | 12 | 1.64% | |
| 😱 | 8 | 1.09% | |
| 🐳 | 6 | 0.821% | |
| 🤨 | 5 | 0.684% | |
| 👌 | 2 | 0.274% | |
| 🔥 | 1 | 0.137% |
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 63 of the 67 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 731 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 27 July 2026 to 4 November 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.
Telegram’s own ‘edited’ marker: 1 of 20 posts held from the last 30 days (5.00%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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❤3👍2
老师收入及固定支出调研 本次采访邀请到了两位6p及两位7p的老师 首先是一位不愿透露姓名的6p老师: 月均开课天数:14天 大概接待狼友人数:40位左右 月均收入:4w左右 自身房租:1800每月 开教室费用:酒店公寓日均160左右,综合开课天数开教室费用为2240 上课固定耗材:浴巾➕套套➕丝袜➕漱口水一个月大概会花800左右 自身吃喝消费:只谈吃喝大概一个月2000左右 相关医美护理:两三个月做一次皮肤护理,费用在2000-4000不等 上牌、轮播等宣传费用:3000每月 第二位为代聊手下一名6p老师: 月均开课天数:20天 大概接待狼友人数:80-90人 月均收入:6W左右 自身房租:民宿公寓6000每月 开教室费用:只上门无此类消耗 上课固定耗材:套套79一盒8个,浴巾45一盒15条,上门自带 自身吃喝消费:对自己比较好,吃喝一个月大概1w支出 相关医美护理:暂无 上牌、轮播等宣传费用:因在代聊手下,没有上牌费用,…
❤4
老师 @Json3311 经典“抑郁症”借了3万,现在人消失了。 先翻旧账: 可欣常州降价帖 不服气还要呛洞洞一嘴 回到主题:据投稿人说 4月底可欣称“抑郁症”发作,没钱治疗,借了2万。(4月还去重庆拍落地签,不像抑郁的样子呀😅) 5月11日好了,回苏州开课,没启动资金,又借了1万。合计3万。 另外可欣主动提出每月利息3K(什么高利贷啊?😳) 7月13日-10月18日陆续还款1万3千元,还有1万7千没还,现在人消失,微信TG不回消息。 投稿人现在只想要回自己剩余本金1万7千,目前悬赏600E卡,希望广大狼友提供可欣线索,比如现在开课地址。 有可欣现在开课地址的可以私信洞洞双向机器人 @dongdongshuangxiangbot 核实过后领取悬赏。
👍4❤1
什么时候能像哈基俏一样好笑😂😂😂
🤣6🤡2
人才😂😂😂
👍7❤1
一个拍恋爱日记的男博主,一直拍都没火,直到他遇到了一个让他真正心动的HR小姐姐。 小姐姐确实漂亮,还有小虎牙,俩人对话那种拉丝的感觉绝对不是演出来的。 然后视频爆火了,就……被HR小姐姐的未婚夫刷到了😂😂😂
👏5❤3
这有啥好选的🥸
❤2
据说是王也哥哥的住址
😁8💩2
简单整理了一下本次工兵被按过程,此妹儿10.17开始接工,本狼约课20:30,代聊20:00反馈妹儿跑路,10.21代聊主动发信息妹儿回来了,10.22 17:00失联,具妹儿老板透露,被摁的是当天第三个工兵,前两个无人转身,第三名工兵约16:00上楼遂与老师一同失联,有狼友核实失联工兵账号最后在线时间17:55,可能是帽子在查手机,第四名工兵17:34上楼敲门无反应,但反馈感觉房间有人,第五名工兵18:00左右上楼敲门反馈无人,代聊打电话均未听见铃声,当晚22:00老板基本确认被按。风大时节,各位狼友小心行事,愿各位狼友出入平安。
❤4
#闲言碎语 关于大白菜折戟这个事情,目前基本可以判定为老师先出了事儿,然后阿sir让老师再钓点工兵出来多交点任务,只是很不幸大白菜听到工兵就高高兴兴的去了,然后就没有然后了 关于这类事情各位洞友也是多多注意吧,不只是工兵,老师出了事儿后并不一定立刻带回橘子里面,有时候也会等下一个下两个狼友进门来多蹲两个,也不是啥子新鲜事情了,这几年其实一直都有发生,也不止成都,武汉、长沙、西安吃瓜也都吃到过,所以各位洞友CJ尽量还是多留心眼,尤其是主动约的……
❤8
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❤4👏1
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❤13🤡8🤣7😁1
Showing the 12 most recent of 67 posts we hold for @CSLiuSan. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
如果你知道某个老师找了接盘侠,你会告诉对方吗?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 67 most recent posts we hold, published 27 July 2026 to 4 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@CSLiuSan named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“长沙地下说唱柳三秒” (@CSLiuSan), 26,097 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/CSLiuSan.
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.