【时间】:2026-09-27 【老师】:小鱼 【留名】:匿名 【评价】:👍 好评 【人照】:7 【颜值】:9 【身材】:8 【服务】:9 【态度】:10 【环境】:9 【综合】:8.67 【过程】:中介代聊,见到妹子之后问了两句,说是闺蜜什么什么的,总之漏洞百出还不给看tg,不知道中介怎么洗脑的,只能尊重她人命运了。 回到服务本身,妹子和照片不是很像,但足够年轻漂亮,身材也很苗条,干干净净的没有纹身,烟灰缸是空的,应该也不抽烟。妹子态度很好,很温柔也很主动。肯定是刚下海的,一些老油条会防范的事她全都不懂,看的惹人怜惜,就跟她交代了很多要注意的事,免得哪天被欺负吃闷亏。妹子本身的颜值、身材、态度、体验都很好,很清纯的一个姑娘

Channel
【长沙精准扶贫】新报告榜
@csfupin5
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
26,319subscribers
+11,377 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001096119671 |
|---|---|
| Type | Channel |
| Username | @csfupin5 |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/csfupin5 |
Topic
Adult — 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 73% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 11:36 | 26,319 | +121 |
| 19 Sept 2026, 00:20 | 26,198 | +55 |
| 16 Sept 2026, 17:37 | 26,143 | +59 |
| 14 Sept 2026, 23:41 | 26,084 | +54 |
| 13 Sept 2026, 11:54 | 26,030 | +60 |
| 11 Sept 2026, 17:38 | 25,970 | +83 |
| 9 Sept 2026, 05:17 | 25,887 | +104 |
| 5 Sept 2026, 19:57 | 25,783 | +72 |
| 3 Sept 2026, 15:19 | 25,711 | +54 |
| 2 Sept 2026, 09:34 | 25,657 | +44 |
| 1 Sept 2026, 09:05 | 25,613 | +44 |
| 31 Aug 2026, 08:55 | 25,569 | +48 |
| 30 Aug 2026, 06:54 | 25,521 | +34 |
| 29 Aug 2026, 04:13 | 25,487 | +27 |
| 28 Aug 2026, 04:28 | 25,460 | +26 |
| 27 Aug 2026, 01:28 | 25,434 | +29 |
| 25 Aug 2026, 21:54 | 25,405 | +37 |
| 24 Aug 2026, 18:48 | 25,368 | +55 |
| 23 Aug 2026, 00:14 | 25,313 | -15 |
| 21 Aug 2026, 16:38 | 25,328 | first reading |
Engagement
494 posts held, back to 8 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 59 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.34%
- avg views ÷ 26,319 subscribers
- Avg views / post
- 352
- 148 posts measured
- Reaction rate
- 0.239%
- reactions ÷ views · ER floor
- Posts in window
- 148
- of 494 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 31 of 148 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 494 (8 August 2026 – 30 September 2026) |
| Views total | 52,125 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 03:01 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
- ≈37
- Videos
- ≈1
- Links
- ≈4,170
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. 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.
Reaction mix
117 reactions across 100 posts, in 4 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 112 | 95.7% | |
| 👍 | 3 | 2.56% | |
| 🤡 | 1 | 0.855% | |
| 🥰 | 1 | 0.855% |
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 125 of the 494 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 117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 494 most recent posts we hold, published 8 August 2026 to 30 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.
Recent posts
【时间】:2026-09-29 【老师】:晴晴 【留名】:匿名 【评价】:👌 中评 【人照】:8 【颜值】:7 【身材】:8 【服务】:6 【态度】:7 【环境】:7 【综合】:7.17 【过程】:进去第一感觉,课室有点乱,浴巾到处丢,物品乱摆放。妹妹属于瘦小型的嫩妹,照片美颜还是有点大,本人长相中规中矩,胸不大,奶头粉嫩,除了口一分钟,其他任何服务都没有,课表上的舌吻也没有,亲一下都不行。女上摇了一下就再也没动过,全程我在动。嫩妹和服务不可兼得,单纯奔着嫩没去的话,五张搞也搞得。
【时间】:2026-09-30 【老师】:小丸子 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:4 【态度】:9 【环境】:9 【综合】:8.17 【过程】:看到榜单新妹妹挺御姐的立马约上,见面真人御姐风格,一点点美颜,丝毫没有风尘味,符合我审美,身材匀称,直接交钱开始洗澡,妹子慢慢脱下衣服之后,身材好,皮肤和胸手感都很好,有点点肉,恰到好处,屁股很软,不是干瘦的,皮肤也偏白,因刚来长沙略显拘束。聊了会儿天就去共浴,洗完帮着擦干,服务没得说,有种邻家小妹妹的感觉,身心很放松,然后躺床上开始做服务,口活一开始有一些齿感但是理应默不作声,因为确实还在学习,看得出来应该接触不久。硬了直接带套就干,妹妹十分乖巧各种姿势配合,换了很多姿势但是没有不耐烦,最后以后入的姿势交货,全程体验感很好,性格配合很好,挺有女友感喜欢嫩妹的兄弟们冲,有机会肯定来二刷,
【时间】:2026-09-29 【老师】:甜辣椒 【留名】:冰雨 秦 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:7 【服务】:10 【态度】:10 【环境】:8 【综合】:8.5 【过程】:好评,我约的一个半小时,老师很健谈,不会让你觉得无聊,课表上有的服务都有,腿部纹身在我看来是加分项,脸上应该是画过淡妆了,颜值看着还蛮不错的,就是口的略有齿感,整体来说是比较好的,没什么缺点,兄弟们可以放心冲。
❤1
【时间】:2026-09-29 【老师】:安琪琪 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.17 【过程】:约到了安琪琪老师,到地方推开了那扇门。映入眼帘的是一个充满温馨感的课室,在暖色调灯光的映衬下,显得格外有温度。 第一眼看到安琪琪老师,就被她的气质深深吸引。这S型身材真是太美了,特别是琪琪哪让人一眼入迷的大胸,她身上丝毫没有那种世俗的“风尘味”,取而代之的是一种由内而外散发的宁静与优雅。她的言行举止都透着温柔,尤其是那笑容,仿佛带着一种魔力,让人沉醉其中。即使只是面对面地聊天,也觉得是一种享受。在服务过程中,琪琪非常认真。她不仅仔细地为我擦拭身体,在口部服务时更是全神贯注。看着这样一位气质出众的老师,眼神迷离,嘴唇微启,跟着节奏发出动人的声音,整个过程都充满了独特的魅力。服务结束后,我们并没有立即分开,而是继续轻松地聊天,这份愉快…
❤1
【时间】:2026-09-29 【老师】:小妖精 【留名】:为你直着2 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【过程】:进门第一眼就满意,人照基本一致,冰火毒龙三通什么都有,关键是热情,颜值也超级满意。情绪价值很好,我很少写小作文的,蛇到饱了,水多,前后都搞了,满分好评
【时间】:2026-09-29 【老师】:妮小妮 【留名】:匿名 【评价】:👌 中评 【人照】:8 【颜值】:8 【身材】:8 【服务】:7 【态度】:8 【环境】:8 【综合】:7.83 【过程】:颜值:五官不错,好好化个妆应该是和小美女 身材:屁股翘翘的不错,胸的话粉,是个小馒头 服务:服务还得调教 态度:态度还蛮端正
【时间】:2026-09-29 【老师】:小白 【留名】:Zyla 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【过程】:小白老师刚好有空就约上了,一进门,小白就眼睛魅惑看着我,张开手抱着我,嘴巴微张就亲了上来,我比较纯情哪里见过这个,还没反应过来,感觉瞬间被拿捏。小白拉我坐在沙发上,聊了一会交了水费,水中萧,吸吮得很舒服,洗好后穿上我挑的性感制服就开始服务,b面,毒🐲,然后a面,小白魅惑的眼神看着我,蛇了一会,然后舌尖在我皮肤上划走,从含着二弟时开始,我的天,毫不夸张,太爽了,极致的舒服刺激着大脑。深喉,吸吮,一般人真扛不住。口了很久,小白给我带好套套就坐上来扶二弟在她下面找蜜洞,感一股温润便慢慢地滑进去,小白呻吟一声,感觉极致的满足。刚进去,又热又紧!小白边摇晃着边喊老公!好大啊!好舒服……太骚了,光听声音都想射,在小白的一声声老公中我沦陷了…
❤1
【时间】:2026-09-29 【老师】:晚星 【留名】:匿名 【评价】:👌 中评 【人照】:5 【颜值】:5 【身材】:8 【服务】:5 【态度】:5 【环境】:5 【综合】:5.5 【过程】:进门收钱玩手机,脸比照片圆不少,身材比较壮,不算bbw。皮肤光滑紧致,胸也够尺寸所以打五分 课表上的有些服务没有,毒龙、水中萧…但口活确实不错,配合度也比较高,提姿势要求虽然不是很乐意但也还是做,所以服务给五分
【时间】:2026-09-28 【老师】:小依晨 【留名】:鸿蒙 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【过程】:看到有新妹妹上榜就约了,时间也对的上,老师指挥上楼,态度挺好,洗完澡,躺床上,妹妹脱完衣服给我口,挺舒服的,没齿感,嗦的🐮子痒痒的,🐍吻也有,摸着妹妹的乳头,越来越硬,口的时候发出呻吟,真的忍不了,到我吃鲍鱼了,还挺敏感的,有反馈,然后带套传教士,边吃大奶边干,然后后入出货,洗完澡跑路
【时间】:2026-09-28 【老师】:南宫 【留名】:陈师机 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:服务过程没毛病,该有的都有,老师本人热情洋溢,情绪价值拉满,总的来说值得一去。其他方面,老师胸不大,长的漂亮,身材苗条,腿长,过程中会有眼神交流,媚眼如丝那种感觉,堪称狐狸精再世。总的来说,性价比高! 优点:清纯、听话 缺点:无
【时间】:2026-09-27 【老师】:小妍 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:总结一下,人美身材好,特别周到细致,方方面面都考虑得很到位。环境也很舒服、整洁。整个过程反馈到位体验都非常好,颜值、性格、服务和环境都在线。必须好评
Showing the 12 most recent of 494 posts we hold for @csfupin5. 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
@csfupin5 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
- 31 August 2026
- Most recent edit
- 31 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 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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“【长沙精准扶贫】新报告榜” (@csfupin5), 26,319 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/csfupin5.
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.