想日这个精神小妹,不为了别的,主要是为了给自来也报仇🥸🥸🥸
❤5💩3👍1

Channel
@CSLiuSan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,844subscribers
+3,224 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 | 28 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 28 September 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Sept 2026, 12:37 | 24,844 | +645 |
| 17 Sept 2026, 21:58 | 24,199 | +81 |
| 15 Sept 2026, 20:16 | 24,118 | +88 |
| 14 Sept 2026, 04:17 | 24,030 | +45 |
| 12 Sept 2026, 08:56 | 23,985 | +48 |
| 10 Sept 2026, 06:21 | 23,937 | +58 |
| 6 Sept 2026, 21:17 | 23,879 | -18 |
| 4 Sept 2026, 10:02 | 23,897 | +56 |
| 2 Sept 2026, 21:45 | 23,841 | -7 |
| 1 Sept 2026, 20:16 | 23,848 | +74 |
| 31 Aug 2026, 19:44 | 23,774 | +54 |
| 30 Aug 2026, 22:04 | 23,720 | +55 |
| 29 Aug 2026, 21:07 | 23,665 | +48 |
| 28 Aug 2026, 23:23 | 23,617 | +69 |
| 28 Aug 2026, 02:48 | 23,548 | +91 |
| 27 Aug 2026, 03:54 | 23,457 | +132 |
| 26 Aug 2026, 06:13 | 23,325 | +79 |
| 25 Aug 2026, 05:34 | 23,246 | +8 |
| 24 Aug 2026, 00:56 | 23,238 | +81 |
| 22 Aug 2026, 08:14 | 23,157 | first reading |
41 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 64 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 29 September 2026 |
|---|---|
| Posts held | 41 (27 July 2026 – 29 September 2026) |
| Views total | 61,260 |
| Reactions total | 186 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 17:33 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 30 September 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 10 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.
535 reactions across 38 posts, in 13 distinct kinds. The most used accounts for 66.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 356 | 66.5% | |
| 👍 | 43 | 8.04% | |
| 🌚 | 29 | 5.42% | |
| 🤮 | 29 | 5.42% | |
| 🤡 | 26 | 4.86% | |
| 😁 | 14 | 2.62% | |
| 💩 | 9 | 1.68% | |
| 😱 | 8 | 1.50% | |
| 🤣 | 7 | 1.31% | |
| 👏 | 6 | 1.12% | |
| 🤨 | 5 | 0.935% | |
| 👌 | 2 | 0.374% | |
| 🔥 | 1 | 0.187% |
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 38 of the 41 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 535 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 27 July 2026 to 29 September 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.
想日这个精神小妹,不为了别的,主要是为了给自来也报仇🥸🥸🥸
❤5💩3👍1
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❤7👍2
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❤19🤣1
说个暴论:连嫖娼都找不到门路的人大概率也谈不上恋爱。性压抑是表象,低能才是本色:)
👍12🤡6
#洞友投稿 前言:文中写到被蹲门了还在写工兵报告、和妹妹打游戏、水群、都是真实发生的,不是乱写搞节目效果(已贴图验证)。 《什么!居然让米线这个咋种跑掉了!》 By:洪家米线拳 “哥哥,期待下一次见面哟。” “你麻痹!门口有人,别出来!” 第一句话,是妹妹准备送我出门时说的。 第二句话,是戴拿那个咋种在外面望风发来的消息。 前后不过几秒,我的心情就从射精后的喜悦,瞬间转变成了被人蹲门的恐慌。 看到戴拿的消息后,我嘴里莫名泛起一股寡淡的苦味,仿佛已经提前尝到了接下来十天方便面饼泡白粥的滋味。 “那他妈的现在怎么办啊!” 我双手有点发抖,赶紧发过去一条消息。 “别慌,就一个人,侧身站在门旁边,大概率是二排。” 作为经验丰富、自己也进去过的老前辈,戴拿显得格外稳如泰山。 听他这么一说,我心里稍微松了口气,甚至还有闲心打开记事本,把欠猫少的工兵报告写完给他发了过去。 “你他妈的心是真大,被蹲门了还有心情写报…
❤18
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❤13👌1
老狼发现最近车友会的黑料曝光层出不穷,有点小小的思考。大群到底是什么?是给老师展示的平台,还是老师服务的监督者? 现在很多大群已经变成只收钱不管事的“躺平物业”——只护着老师,根本不管狼友的基本体验和权益,甚至于攻击差评说实话的狼友,这种情况下,狼友该怎么破局,或者怎么维护自己核心的嫖娼权利? 这个问题概括来说,就是当一个撮合性交易信息的线上社群,逐渐从“双边信息平台”异化为“只维护供给方利益、忽视需求方体验与风险”的单向收费结构时,需求方(狼友)可以采取哪些现实策略来降低依赖、自我保护或寻找替代路径? 通俗来说,其实就是出击界的“平台 vs 用户”利益失衡。 首先大群是是什么。 • 大群本质上大多是流量和信息撮合平台,不是维权机构,更不是“狼友权利保护协会”。 • 当群主/管理把主要精力放在“维护老师、避免炸群、稳定抽成/广告收入”上时,它就会越来越像“躺平物业”——只收钱,保供给方,不维护需求方。 • 所谓“核心…
❤13
跳的蛮好的啊,明人不说暗话,这种妹子腰胯灵活,日起来老得劲儿了😍😍😍
❤7
你的一句想看,我去苦练了两年半,难道我还不够爱你吗哈哈哈,滴大哥滴大哥
❤9👍1
《爹味恩客跨城索情痴,惊魂娇娃弃课弃定逃》 瓜台杭州9月15日电 9月15日,某上岸老师向瓜台爆料,称遭遇长期包天的恩客窒息式纠缠,因不堪骚扰已被迫推掉全月预约提前关停。 双方结识于去年国庆,该男客多次出重资包天并带其外出,但期间控制欲极强——不仅临时强制老师退单其他客户、提出特殊玩法,更常态化进行“爹味说教”与精神打压,甚至要求女方充当饭局陪笑花瓶。女方不堪重负决意断联,曾多月避开杭州。未料刚刚回归杭州,男方就换小号伪装生客再度约课,暴露后疯狂发信施压。出于人身安全考虑,老师连夜退还后续全部定金,决定上岸远离江湖。 小编说: 花钱买春却妄想救风尘,把银货两讫意淫成救赎大戏。嘴上全是道德经,手上全是换号堵门的下作手段,撕掉深情伪装,不过是极端自私的控制狂在发癫! 这波是真情错付难割舍,还是偏执巨婴吓死人?诸君断案随意~ 投稿联系: @Zxj_123 @FLOAT_xyz 🔣杭州瓜田认证商家🔣
❤8
那个3号花臂小妹开500p我觉得可以,其他几个就算了🥸 如果3号小妹日不到的话,我会选择日2号男嘉宾😁
👍7❤1
原来mmk还能这么玩,我chovy,简直亏了一个亿啊😂
😁10❤2🤮1
Showing the 12 most recent of 41 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.
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 2 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.
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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“长沙地下说唱柳三秒” (@CSLiuSan), 24,844 subscribers as measured 28 September 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.