【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 清 【验证时间】:11.13 【上课打赏】:1000pp 【颜值身材】:大长腿,身材很棒 【服务内容】:都有做 【服务态度】:好 【优点缺点】:服务十分到位,颜值身材好 【推荐程度】:10 【体验细节】一进门就看见老师甜美的笑容接待我,然后还贴心的问我要不要喝水,给了课费就一起去洗鸳鸯浴,拿了好几套情趣衣让我挑选,然后就慢慢的调情,口活太棒了,弟弟都受不了了,服务做完之后然后就开战,老师的下面好紧,而且还流了好多水,特别喜欢老师的大屁股,后入一下就受不了发射子弹了!老师全程服务特别好。有机会还找你! 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)

Channel
佛山报告分享
@FSKKB
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,180subscribers
-192 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002028517320 |
|---|---|
| Type | Channel |
| Username | @FSKKB |
| Description | 报告投稿: @Umbrella9_bot 公开榜 https://t.me/+ItpEHTQzctAzYjk0 佛山群 @FSqun |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/FSKKB |
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 90% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 08:58 | 14,180 | +5 |
| 9 Nov 2026, 16:49 | 14,175 | -1 |
| 8 Nov 2026, 10:06 | 14,176 | -5 |
| 6 Nov 2026, 07:48 | 14,181 | -4 |
| 5 Nov 2026, 08:41 | 14,185 | +2 |
| 4 Nov 2026, 08:46 | 14,183 | -4 |
| 3 Nov 2026, 09:30 | 14,187 | +3 |
| 2 Nov 2026, 09:58 | 14,184 | +8 |
| 1 Nov 2026, 12:26 | 14,176 | +1 |
| 31 Oct 2026, 14:01 | 14,175 | -4 |
| 30 Oct 2026, 13:46 | 14,179 | -2 |
| 29 Oct 2026, 10:48 | 14,181 | +2 |
| 28 Oct 2026, 06:39 | 14,179 | -6 |
| 27 Oct 2026, 04:49 | 14,185 | -2 |
| 26 Oct 2026, 06:59 | 14,187 | +2 |
| 24 Oct 2026, 09:09 | 14,185 | +1 |
| 23 Oct 2026, 12:36 | 14,184 | -11 |
| 22 Oct 2026, 09:15 | 14,195 | -6 |
| 20 Oct 2026, 23:30 | 14,201 | -6 |
| 20 Oct 2026, 00:01 | 14,207 | first reading |
Engagement
142 posts held, back to 28 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 72 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.13%
- avg views ÷ 14,180 subscribers
- Avg views / post
- 586
- 54 posts measured
- Reaction rate
- 0.145%
- reactions ÷ views · ER floor
- Posts in window
- 54
- of 142 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 21 of 54 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 142 (28 July 2026 – 13 November 2026) |
| Views total | 31,644 |
| Reactions total | 19 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 20:08 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
- ≈8
- Links
- ≈1,680
Lifetime counters from Telegram’s own channel header, read 13 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.
Reaction mix
79 reactions across 57 posts, in 5 distinct kinds. The most used accounts for 93.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 74 | 93.7% | |
| 👎 | 2 | 2.53% | |
| 👍 | 1 | 1.27% | |
| 🔥 | 1 | 1.27% | |
| 🥰 | 1 | 1.27% |
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 70 of the 142 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 79 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 142 most recent posts we hold, published 28 July 2026 to 13 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: 0 of 54 posts held from the last 30 days (0%) 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).
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】: 依依 小雨 【联系方式】: @xinxinbuzhang8 【验证留名】:世纪舞台 【验证时间】:2026/11/12 【上课打赏】:539+1 【颜值身材】: 苗条性感 【服务内容】:课表 【服务态度】: 热情 主动 【优点缺点】: 爱蛇吻 骚 身材棒水多 【推荐程度】:9 分 【自由描述】:一没事无聊就想去李经理哪里爽一下!朋友最骚了!这次安排了两个导师级别的,真的服务太到位了,蛇吻全舔,什么都做,体验了真正的莞式了!朋友选的依依也非常满意!吹得很那叫一个神!确实我的小雨也是把我征服了,舌头都给我整麻了,小鲍鱼水太多了,过瘾!!只有这里才能释放我无尽的欲望!有李总这朋友一切都妥了! 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
👎1
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】: 依依 【联系方式】: @xinxinbuzhang8 【验证留名】:大碗茶 【验证时间】:2026/11/11 【上课打赏】:539 【颜值身材】: 性感 匀称 【服务内容】:课表 【服务态度】: 热情 主动 【优点缺点】: 白嫩 骚货水多 【推荐程度】:9 分 【自由描述】:好久没有去了有点想依依了!李经理帮我约好!见面还是那么热情,很性感很骚,雪白大奶子贴着很舒服,大屁股翘刚好包裹住我老二,很暖和很多水!就喜欢这种软软糯糯的感觉!还是很有味道的很喜欢!物有所值! 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
❤2
【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:林初瑶 【联系方式】: @ky7007 【验证留名】: 刁民 【验证时间】:11.12 【上课打赏】:600 【颜值身材】:高挑身材 【服务内容】:课表都有 【服务态度】:好 【优点缺点】:大长腿,服务到位,口活好,情绪价值高 【推荐程度】:9 【体验细节】初瑶老师身材很好,五官精致,御姐类型,性格方面也是落落大方。老师的黑丝大长腿真诱人,我先坐下,老师便主动调情起来,先是慢慢摸我大腿,然后到弟弟,一面摸一面在我耳边吹气,我手也不闲着摸向老师的奶子,手感一级棒,又大又有弹性,时机合适后,进入正式模式,老师主动的坐上来在洞口磨,不一会下面已经泛滥了,滑溜溜的,老师顺势慢慢坐了下来,不得不说老师真的是天生的尤物,下面又紧又水,还很温热,这给我二弟来了个顶级按摩,看着老师投入的状态,奶子半裸着在我身上摇,我也是用力的配合着撞击,战斗时间大概10分钟…
❤1
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】: 菲菲 【联系方式】: @xinxinbuzhang8 【验证留名】:眼镜光标 【验证时间】:2026/11/11 【上课打赏】:539 【颜值身材】: 性感 匀称 【服务内容】:课表 【服务态度】: 热情 主动 【优点缺点】: 奶子大 很骚 懂调情 水多 【推荐程度】:9 分 【自由描述】:又有新人了菲菲!李哥帮我约好了!真人很性感很有韵味的女人,弟弟贴上她屁股那一刻,她的骚味就有了,呻吟声加风骚扭动,谁顶得住!没一会就被她整出水了!很细致的帮我清理,又躺在我们怀里,继续缠绵吧!黑丝袜就是催化剂,我们一起都很开心,69交流非常愉快,粉嫩嫩的鲍鱼汁水很多,翘臀刚好能包裹住我的大老二,有鲍鱼汁液的润滑,太有感觉了!非常到位,小姐姐很懂事很会伺候人的!很喜欢她!生活有万般百态,只有小姐姐能让我开心愉快! 注:(提交报告需要提供相…
【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 诺 【验证时间】:11.11 【上课打赏】:500P 【颜值身材】:高挑跟频道照片大差不差 【服务内容】:都有 【服务态度】:好 【优点缺点】:服务十分到位,颜值身材好 【推荐程度】:10 【体验细节】朋友推荐来刷一下,过来挺近的。课室比较干净温馨,有小女儿家的感觉,老师本人可以,皮肤白舒服的长相。个子高说话声音挺温柔,胸很大,和介绍一样D,腿很长服务比较周到,拿浴巾,拖鞋,放洗澡水,床上服务多,口活可以,体感比较好,很紧,姿势都配合,我时间有点久,也没有不耐烦, 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:小迪 【联系方式】: @xxdils 【验证留名】:咖喱鸡 【验证时间】:11.8 【上课打赏】:半价 【颜值身材】:9 【服务内容】:有的都有 【服务态度】:服务没得说 【优点缺点】:热情没发现什么缺点 【推荐程度】:9 【体验细节】:好久没有中过了,还是心心念念的,好久没有去看望了。预约好时间到达课室,遥控上楼,还是熟悉的地方,一进门就看到那对大白兔,闲聊一会抽根烟,交完水费,进房间帮脱衣牵手洗了个残疾澡,双手摸着大🐻一边享受着,来了个水中潇一浅一深,小弟绷不住了,还是熟悉的流程,熟悉的配方,进房间传教士一进去很紧致一会女上实在顶不住了赶紧叫停换后入式肉感十足,水汪汪的,然后就123了,就出水了,完事洗澡回家,总体验宝藏老师,有空还会再去的。
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】: 乔安慧慧 暖暖 【联系方式】: @xinxinbuzhang8 【验证留名】:游戏阿文 【验证时间】:2026/11/10 【上课打赏】:539+3 【颜值身材】: 性感 【服务内容】:课表 【服务态度】: 热情 主动 【优点缺点】: 奶子大 白嫩 年轻水多 【推荐程度】:9 分 【自由描述】:几兄弟累了几天了,看了李部长这里评价可以,过去试试!到了接待很热情的,给我们推荐了很多,我选了大奶子乔安,朋友选的慧慧暖暖!都玩得很开心的!质量很好,服务很到位很认真,课表真实照做的!靓女确实很多!只是环境值得提升!还是很有性价比的,比广州好!靠谱真实不坑! 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
【佛山报告】[https://t.me/FSqun] 【所在位置】:南海 【老师艺名】:伊仙姐妹花 【联系方式】: @foshankeer20 【验证留名】:小黑 【验证时间】:11.7 【上课打赏】: 1500双人PP 【颜值身材】:大🐻S身材 【服务内容】:课表有的都有 【服务态度】:100分 【优点缺点】:剧情玩得不错,一人吃鸡一人毒🐲这服务绝 【推荐程度】:10 【体验细节】:今天让姐妹花穿了黑丝OL+白丝护士。还原创了个小剧情:一推门,我的爱穿穿黑丝OL的骚秘书就在等我,按惯例就是有事秘书干,没事干秘书。两人前后夹击洗澡水中萧,到床上展开正题却没想到这次被秘书给弄秒射123了。作为老板很丢人!于是诊所到护士说是不是有点问题,不能这么纵欲,开始帮我检查身体。两人四手先按摩再诊断,最后说是纵欲过度于是四个咪咪帮我xt放松。护士用嘴给我试下硬件有无问题的同时,骚秘书直接抬起我的腿给我毒龙,也是享受到了双重爽感,最后护士亲自下…
【佛山报告】[https://t.me/FSqun] 【所在位置】:南海 【老师艺名】:温馨怡 【联系方式】:@Wenxinyi0 【验证留名】:抖 【验证时间】:11.9 【上课打赏】:1000 【颜值身材】:人照一致 【服务内容】:课表的都做 【服务态度】:热情是水 【优点缺点】:很嫩 水多 【推荐程度】:10 【体验细节】:课室安全性挺好,很干净,见到老师真的太好看了!人照9分,大大的眼睛,皮肤很嫩,身材比例很好,说话声音很甜,惹人怜爱,上到课室,自然而然地聊了会天,帮我脱鞋脱衣服,然后抱着我去洗澡。一边洗澡一边和我开黄色玩笑,帮我舔下面,用眼睛,嘴唇勾引我,她身体每个部分都在诱惑着我,老师的口活实在太好了,无齿感,服务好身材好,尤其对着镜子后入,老师穿着透视包臀裙,视觉感拉满,很不错,超级紧,体验感很好,建议果断出击。 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等) 💰 匿名人 撰…
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】: 慧慧 【联系方式】: @xinxinbuzhang8 【验证留名】:牛栏山 【验证时间】:2026/11/9 【上课打赏】:539+1 【颜值身材】: 性感 苗条 【服务内容】:课表 【服务态度】: 热情 【优点缺点】: 前凸后翘 骚爱蛇吻 水多 【推荐程度】:9 分 【自由描述】:确实哥们推荐的慧慧牛逼!真心好骚!各种服务都做得很舒服!水也很多69蛇吻 非常到位!进门第一眼就感觉她很有女人味!一碰就有高潮的感觉,身体扭动每一个姿势都是非常的迷人性感,好久没有碰到这么极品的骚货了,果断先加了一个钟!直接玩到爽嗨!!!靠谱值得推荐… 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
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【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:曼儿 【联系方式】: @jme899 【验证留名】: 阿瓦达啃大瓜 【验证时间】:11.9 【上课打赏】:500P 【颜值身材】:高挑,人照9分,跟频道照片大差不差 【服务内容】:课表上的都有 【服务态度】:健谈热情 【优点缺点】:服务十分到位,颜值身材都非常能打 我个人觉得没缺点 【推荐程度】:10 【体验细节】距离坐高铁还有几个小时,闲着没事就问了一下曼儿老师有没有位置,没想到还真有,距离又近,果断出击。 小区没门禁,上楼后一进门,简直惊艳到我了,没想到这个价位能约到颜值身材都那么好的老师,马上交水费。老师很热情健谈,情绪价值拉满,从进门到开始服务前都没冷场。 一起洗完澡后,躺床上等老师做服务。一开始以为也就走个过场,毕竟这个价位,这个颜值身材,还要什么自行车。没想到老师非常温柔而且认真,技术没得说,不管口还是吸又或者舔,都是我出击过…
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Showing the 12 most recent of 142 posts we hold for @FSKKB. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@gzwha1238 · 186 posts小迪 禅城个人自聊
@xdidia · 76 posts诺诺报告
@fssd33386 · 2083 posts佛山禅城萍萍同学的小屋
@Fsxxxhh · 1,7292 posts大乔的报告
@wwxq9988 · 1452 posts禅城张槎🎉清清🎄报告日常专属
@gfkw006 · 221 post可儿❤️报告
@kkkkk02255 · 361 post丽莎~🍎禅城
@lisha2583691 · 2,0641 post米乐🤳抓龙筋👄小窝
@mmy88869 · 921 post朵朵的小空间👩🏫
@yunduo330 · 8091 post北北
@yunwn1227 · 7841 post
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 5 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“佛山报告分享” (@FSKKB), 14,180 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/FSKKB.
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.