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Channel

长沙寻花问柳三秒

@CSLiu3

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

106,208subscribers

+50,881 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002442214952
TypeChannel
Username@CSLiu3
Description本频道:出击报告&长沙电报吃瓜 交流群: @Xunhua0731 地下说唱: @CSLiuSan 联系柳三: @LiuSMBot
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/CSLiu3

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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.

Growth

55,327106,20880,767.57 August 2026 — 55,327 subscribers7 August 2026 — 55,327 subscribers8 August 2026 — 55,430 subscribers9 August 2026 — 55,706 subscribers10 August 2026 — 56,024 subscribers11 August 2026 — 56,252 subscribers12 August 2026 — 56,654 subscribers13 August 2026 — 57,033 subscribers14 August 2026 — 57,643 subscribers16 August 2026 — 58,140 subscribers17 August 2026 — 58,723 subscribers18 August 2026 — 59,158 subscribers19 August 2026 — 59,768 subscribers20 August 2026 — 60,469 subscribers21 August 2026 — 61,351 subscribers23 August 2026 — 61,912 subscribers24 August 2026 — 62,379 subscribers25 August 2026 — 62,668 subscribers27 August 2026 — 63,151 subscribers28 August 2026 — 63,590 subscribers29 August 2026 — 64,136 subscribers30 August 2026 — 64,470 subscribers31 August 2026 — 65,034 subscribers1 September 2026 — 65,477 subscribers2 September 2026 — 65,896 subscribers3 September 2026 — 66,498 subscribers5 September 2026 — 67,398 subscribers8 September 2026 — 69,265 subscribers11 September 2026 — 71,373 subscribers13 September 2026 — 72,061 subscribers14 September 2026 — 72,792 subscribers16 September 2026 — 73,951 subscribers18 September 2026 — 75,206 subscribers25 September 2026 — 78,390 subscribers3 October 2026 — 84,311 subscribers8 October 2026 — 87,008 subscribers12 October 2026 — 90,723 subscribers14 October 2026 — 91,959 subscribers15 October 2026 — 92,441 subscribers16 October 2026 — 93,362 subscribers17 October 2026 — 94,275 subscribers18 October 2026 — 94,920 subscribers19 October 2026 — 95,877 subscribers20 October 2026 — 96,686 subscribers21 October 2026 — 97,314 subscribers22 October 2026 — 98,001 subscribers23 October 2026 — 98,527 subscribers24 October 2026 — 99,126 subscribers25 October 2026 — 99,823 subscribers26 October 2026 — 100,304 subscribers27 October 2026 — 101,019 subscribers28 October 2026 — 101,711 subscribers29 October 2026 — 102,325 subscribers30 October 2026 — 102,937 subscribers31 October 2026 — 103,485 subscribers1 November 2026 — 104,238 subscribers2 November 2026 — 104,909 subscribers3 November 2026 — 105,501 subscribers4 November 2026 — 106,208 subscribers7 August 20264 November 2026
59 measurements spanning 89 days, net +50,881. 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 47,695–113,840 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
4 Nov 2026, 21:26106,208+707
3 Nov 2026, 17:41105,501+592
2 Nov 2026, 19:46104,909+671
1 Nov 2026, 22:58104,238+753
31 Oct 2026, 20:08103,485+548
30 Oct 2026, 21:56102,937+612
29 Oct 2026, 20:51102,325+614
28 Oct 2026, 18:59101,711+692
27 Oct 2026, 20:57101,019+715
26 Oct 2026, 19:45100,304+481
25 Oct 2026, 19:5999,823+697
24 Oct 2026, 19:5899,126+599
23 Oct 2026, 21:3098,527+526
22 Oct 2026, 22:2798,001+687
21 Oct 2026, 17:5697,314+628
20 Oct 2026, 16:4196,686+809
19 Oct 2026, 14:4795,877+957
18 Oct 2026, 13:0594,920+645
17 Oct 2026, 16:3794,275+913
16 Oct 2026, 15:2893,362first reading

Engagement

134 posts held, back to 2 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 181 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.55%
avg views ÷ 106,208 subscribers
Avg views / post
9,080
37 posts measured
Reaction rate
0.235%
reactions ÷ views · ER floor
Posts in window
37
of 134 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held134 (2 August 2026 – 4 November 2026)
Views total335,880
Reactions total790
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 07:09 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
≈1,350
Videos
≈367
Links
≈487

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. 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
34m 27s
Average length
59s

Measured directly from 35 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

43,866 reactions across 133 posts, in 19 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡21,94050.0%
💩4,95811.3%
👍4,74410.8%
💯3,2807.48%
👏3,1347.14%
❤‍🔥2,0834.75%
❤1,9154.37%
🤮1,0702.44%
🎉2410.549%
😍1650.376%
🥰1380.315%
😱890.203%
🔥240.055%
👎230.052%
😁210.048%
😨200.046%
🤣150.034%
🌚40.009%
🤓20.005%

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 134 of the 134 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 43,866 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 134 most recent posts we hold, published 2 August 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.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 37 posts held from the last 30 days (16.2%) 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).

4 Nov 2026, 14:44 UTC≈2,740 views27 reactionsread 5 November 2026

葡萄:采蘑菇的小熊 有一天,柳三在森林里裸睡,这时候来了一个采蘑菇的小姑娘:“一朵,两朵,三朵,四朵,五朵,五朵,五朵……咦,第五朵怎么不见啦?” 柳三爽了,第二天又来森林里裸睡,结果遇到一只采蘑菇的小熊:“一朵,两朵,三朵,四朵,五朵、五朵、五朵,六朵,七朵,八朵,九朵……” ——这个段子就差不多是柳三今天的遭遇。 又是一次临时被鸽,然后晚上又约了朋友,所以留给我找替补的时间非常紧张了,这时候就在梅溪湖附近有个叫葡萄的老师发了个拉客信息。 不到十分钟的路,这不是巧了?草草看了一眼上榜照片,应该问题不大吧。 然而见到真人以后,柳三真的有点纠结了。前几天还在嘲笑小黑去日了老娭毑,这葡萄一眼看着多半是过40了…… 即使打了很厚的粉底,以至于脸和身上都不是一个色号了,然而在昏暗的灯光下,还是一眼看得出年纪很大了。 真的想跑路的,但又确实时间不够了,于是柳三又看了看妹子的身材,算了,来都来了。 毕竟,身材还可以,是那种年纪大了以…

🤡8😁8❤7🌚4

4 Nov 2026, 14:44 UTC≈2,610 views13 reactionsread 5 November 2026
Photo

【昵称】:葡萄 【标签】:采蘑菇的小熊 【年龄】:40左右 【身高】:165 【身材】:C+ 【课表】:口 做 陪浴 69 【人照对版】:对镜子自拍那个视频是本人,但是是磨皮美颜拉满了的,真人40左右了 车牌: https://t.me/fk0731/24385

🤡13

4 Nov 2026, 01:59 UTC≈3,930 views5 reactionsread 5 November 2026

扶贫工兵群炸了,新工兵群: https://t.me/csfupin08

❤5

3 Nov 2026, 01:49 UTC≈5,730 views16 reactionsread 5 November 2026
Photo

这家店也是前段时间探的,因为就在知遇(玉足轩)附近,楼下还有夜宵夜市,柳三最近晚上遛弯的时候有时候就过来顺便做个92了。 第一次来的时候,选了一下人。第一个进来的123号,看起来30左右了,气质倒也还行,脸上一看就整了,只不过还没崩,但也谈不上多好看,胸口还有事业线。 这妹子人挺热情的,进门就要给我换鞋,属于是那种想要上钟,但是也懂一点策略的。照例还是退了。 第二个来的是111号,这妹子也是一眼30多了,但是保养得还不错,苗条型,腿型也修长好看。也退了。 再来的222号我一眼就相中了,因为那眼神一看就是新手,而且一眼看上去,就比刚刚那两个30上下的老帮菜嫩多了,长得也还可以,年龄应该是个23岁的样子。 事实证明,柳三也确实宝刀未老,这妹子是第二天上班!而且以前都没干过92的! 妹子性格属于那种落落大方的类型,但是纯是藏不住的,毕竟没怎么在这行业里打滚。 当然技术就不用指望了,基本上属于是照猫画虎,过家家的水准。 但是这妹子…

❤13👍3

1 Nov 2026, 15:39 UTC≈7,290 views21 reactionsread 5 November 2026

小夕:窒息的爱 真是懒得专门跑一趟雨花区——可是已经真的好久没见小夕了,为了她值得跑这一趟。 “你怎么老是约这么晚啊……” 进门以后就是一阵密不透风的拥吻,夜晚的寒意一瞬间散尽,整个身体都燥热起来,可她见面的第一句话竟然是半带撒娇半带嗔意的诘问。 “拜托!你这课室离我那么远,白天我要过来路上都堵车都得堵一个小时了!” 于是我们笑,这次在床上滚成一团了。 回想我们第一次见面的时候,我猜她应该是刚刚从麻将桌上下来,穿的是一身素朴的便装,直到脱了衣服以后我才发现她细枝硕果的身材。 而现在,她会穿上一身诱人的情趣服,早没有了第一次见面时候的生涩感。 我的手没闲着,偷摸给她衣服扒了下来。 可接下来,小夕一个转身反倒把我压在身下,然后软绵绵的大奶子就劈头盖脸地淹没了我…… 不得不说,一开始是兴奋的,可紧接着我发现有点不对劲,我去,她这奶子是真的大,又软,整个把我一张大脸捂得严严实实的! 虽然打小时候看的小黄文里就经常看到有类似夸张的手…

❤20👍1

29 Oct 2026, 11:57 UTC≈11,600 views17 reactionsread 5 November 2026

好久没见夏夏了,我知道她最近有些难,想去澳门挣点钱结果还不小心被万恶的资本主义赌场割了一波韭菜。 我回忆起她那个懊恼的语气,就忍不住想抱着她哄哄。 可夏夏并不像我想的那么怨天尤人的,只是在见我的瞬间,她一脸惊讶:“你怎么?……” 看这次是我真胖了,哈哈哈哈哈~ 于是我拥抱着她,掩饰我尴尬的脸红。 不得不说,我是真的喜欢她的这种身材,有胸有屁股,身材苗条但该有肉的地方一点不少,抱在怀里的感觉就很有满足感。 熟了以后她有点爱絮叨,可是听着耳畔她在说着话,竟然有一种莫名的安心感。 有时候觉得,她的身体里可能住着的还是一个小女孩,只要抱抱她,那个小女孩就会忍不住探出头来,开始叽叽喳喳地分享自己的小世界。 她给我看去澳门的时候拍的一些照片,然后又说起自己的闺蜜——闺蜜在长沙有点水土不服,开惯了快餐,完全不愿意给客人做服务。 “但我之前做过桑拿的嘛,”她说,难怪夏夏的服务总是那么认真。 其实柳三已经有些馋了,所以把一条美腿抱在怀里把玩…

❤17

28 Oct 2026, 04:26 UTC≈12,700 views86 reactionsread 5 November 2026

下头鸡的十大话术 一 “我洗过了” 陪浴本是课表中最基础的服务,但见面以后妹妹抱歉地说:“哥哥,我已经洗过了。” 涉世不深的小狼还以为妹妹提前做了准备,殊不知下头鸡只是不想陪你洗澡,帮你搓背,懒到死罢了。 正常的老师,即使是超级爱干净,真的提前洗好了等你,也会脱光了进浴室帮你搓背的!!! 陪浴都没有的鸡99%下头,建议直接转身走人。 二 “我有口腔溃疡” 当小狼想要舌吻的时候,妹妹一脸委屈说:“我有口腔溃疡不能舌吻。” 实际上,有个屁的口腔溃疡,就是不想跟你舌吻罢了!有的下头鸡甚至开一两个月课了口腔溃疡都没好! 三 “手上有细菌” 调情的时候手摸来摸去很正常,可下头鸡是绝对不会准客人摸她下面的,一问就是:“手上有细菌。” 要是客人暴力抠逼倒也罢了,澡都洗了,摸一摸阴蒂也是“手上有细菌”,那包是下头,不想让你碰。 真要较真的话,柳三得说,你逼里也有细菌啊! 四 “我嫌弃我下面的味道” 看到妹妹有蛇有69,本想着能好好互动,…

❤55👍29🔥2

26 Oct 2026, 19:05 UTC≈14,700 views21 reactionsread 5 November 2026
Photo

武道红榜老师 #小水 改名大骂“sb长沙 少恶心人了”,这个瓜没头没尾的,柳三收到了一个不愿透露姓名的老哥(多半是舔狗反水哈哈哈哈)的爆料。 大意就是小水改名涨价(原来叫 #小洁 ),又在高人指点下营销会喷的人设,但实际服务一般,还多次出现罚站等下头行为,因此得罪了若干狼友。 但小水被舔狗舔得飘飘然,每次骂架都带一帮舔狗出场,自己也渐渐不清楚自己斤两了。 又因为武道的管理没有偏袒她,她就背地里去其他群挂榜弄花魁啥的,别的群未必给了,但得罪武道是肯定的了。 总的来说就是小妹子被舔狗舔得太膨胀了,在长沙估计也难混得下去了,但这么骂街走人还是有点不太体面。

❤10👍8❤‍🔥3

26 Oct 2026, 16:41 UTC≈10,400 views10 reactionsread 4 November 2026
Forwarded from @CSLiuSan

Posted without readable text

❤10

25 Oct 2026, 05:38 UTC≈11,600 views23 reactionsread 4 November 2026

#长沙总榜 https://t.me/fk0731 上线半年了,这个榜就是收录长沙各正规群上榜的老师,目前收录已经超过1000人,榜单的订阅也将近八万了。 在长沙各群越来越封闭,而且老是搞什么强制关注,或者强制独家,或者塞一大堆广告的前提下,长沙总榜的愿景就是给广大狼友们提供纯粹的嫖娼信息。 之前一直有一个痛点,因为榜单收录超过千人,所以总索引已经有快20页了,要从这个中间去挑妹子现在有点费劲了。 所以这次发布的新功能,就是每天都会统计一遍“一天内活跃的妹子”——按这个单子来私聊的话,相对而言碰到妹子不在线红休的几率就会很小了。 总而言之还是为了给狼友节约查找的时间,提供信息密度最大的嫖娼信息。 接下来的需要交给大家投票来决断:

👍19❤4

Showing the 12 most recent of 134 posts we hold for @CSLiu3. 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.

Posts edited after publishing

@CSLiu3 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
17 August 2026
Most recent edit
17 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

Named by 4 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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“长沙寻花问柳三秒” (@CSLiu3), 106,208 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/CSLiu3.

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.