【佛山报告】[ https://t.me/FSqun ] 【所在位置】:南海 【老师艺名】:#小夭 【联系方式】:@gf_yaoyao16888 【验证留名】:666 【验证时间】:9.2 【课程价位】:1500pp 【颜值身材】:高颜值,胸很大,很软 【服务内容】:同课表 【服务态度】:态度非常好,温柔型 【优点缺点】:无缺点 【推荐程度】:非常推荐 【体验细节】:进门迎面而来的是胸器,简单聊天后一起洗澡,后来进房间,开始服务,ls舌头非常滑嫩,从上到下,由浅入深,瞬间硬邦邦,赶紧先来一发,cd时间把玩胸,好大好软哦,聊着聊着来感觉之后,手指向下深入,好湿啊,直接开始,这次好有感觉,投入很高,好久没这么舒服了,叫床声也好听,即使电话声音也挡不住情绪,这次不知道做了多久,结束了。挺舒服的,下次必返。 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等)

Channel
佛山报告分享
@FSKKB
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
14,318subscribers
-54 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 |
| 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 | 3 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/FSKKB |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 07:55 | 14,318 | -6 |
| 1 Sept 2026, 22:18 | 14,324 | -3 |
| 31 Aug 2026, 23:26 | 14,327 | -5 |
| 30 Aug 2026, 22:14 | 14,332 | +9 |
| 29 Aug 2026, 02:15 | 14,323 | -8 |
| 28 Aug 2026, 03:42 | 14,331 | +6 |
| 27 Aug 2026, 03:12 | 14,325 | -3 |
| 26 Aug 2026, 05:04 | 14,328 | +2 |
| 25 Aug 2026, 04:58 | 14,326 | -9 |
| 24 Aug 2026, 00:44 | 14,335 | -1 |
| 20 Aug 2026, 20:34 | 14,336 | -3 |
| 19 Aug 2026, 17:08 | 14,339 | +3 |
| 18 Aug 2026, 14:13 | 14,336 | -5 |
| 17 Aug 2026, 14:39 | 14,341 | -9 |
| 16 Aug 2026, 08:07 | 14,350 | -2 |
| 14 Aug 2026, 18:18 | 14,352 | -8 |
| 13 Aug 2026, 11:47 | 14,360 | -4 |
| 12 Aug 2026, 09:03 | 14,364 | -3 |
| 11 Aug 2026, 06:23 | 14,367 | -2 |
| 10 Aug 2026, 03:54 | 14,369 | first reading |
Engagement
88 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 50 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.27%
- avg views ÷ 14,318 subscribers
- Avg views / post
- 1,040
- 72 posts measured
- Reaction rate
- 0.104%
- reactions ÷ views · ER floor
- Posts in window
- 72
- of 88 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 40 of 72 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 88 (28 July 2026 – 2 September 2026) |
| Views total | 74,970 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 18:49 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.
Reaction mix
60 reactions across 40 posts, in 4 distinct kinds. The most used accounts for 95.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 57 | 95.0% | |
| 👍 | 1 | 1.67% | |
| 👎 | 1 | 1.67% | |
| 🔥 | 1 | 1.67% |
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 49 of the 88 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 88 most recent posts we hold, published 28 July 2026 to 2 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
【佛山报告】[https://t.me/FSqun] 【所在位置】: 佛山94 会所 【老师艺名】:安安 【联系方式】: @xinxinbuzhang8 【验证留名】:老叔 【验证时间】:2026/8/27 【上课打赏】:539 【颜值身材】: 苗条性感 【服务内容】:课表 【服务态度】:主动热情 【优点缺点】: 很舒服的享受 【推荐程度】:9 分 【自由描述】: 想安安了老李帮我约好!就是喜欢和她抱在一起翻滚的感觉,她坐在我上面扭动着快感!舔舔她美味的鲍鱼!她用雪白的奶子,夹住我弟弟的那一刻,真实的很舒服!还有她熟练的舌工,舔得我全身发麻很放松!遇到好的真的会上瘾。很值得推荐! 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)
【佛山报告】[https://t.me/FSqun] 【所在位置】:番禺南村 【老师艺名】:芊芊 【联系方式】: @bobo111777 【验证留名】:一面之缘 【验证时间】:8.30 【上课打赏】:1200pp 【颜值身材】:8 【服务内容】:课表都🈶 【服务态度】:10 【优点缺点】:天赋异禀,活太好 【推荐程度】:10 【体验细节】:默默关注老师许久,今天终于月上了。老师比照片漂亮,皮肤很白,身材更是一绝,凹凸有型的身材勾选出胸器逼人😍真是天赋异禀,目前是我见到最大的巨乳,我的最爱😍长的就在我欣赏的点上,爱不释手。交了水费开始我们的战场,口活了得,说话温柔,服务更是,流畅有序...第一次直接没忍住,直接被秒。休息片刻冲洗,老师一边按摩一边闲聊🈶说有笑的不知不觉小老弟自然勃起,老师很妩媚动人,体验了一把包裹满满的乳交,在老师又白又大的奶子上不停摩擦起动,那软软揉揉的像🈚️套感的插入,这哪里受的了,立马叫老师停下,带上帽主动出…
❤1
【佛山报告】[https://t.me/FSqun] 【所在位置】:南海儒林实验中学 【老师艺名】:赖晓明 【联系方式】:@15917001550 【验证留名】:饮茶 【验证时间】:8.17 【上课打赏】:899 【颜值身材】:颜值耐打 很有气质 身材好 【服务内容】:xcz 课本内容 【服务态度】:很热情 态度好满分 【优点缺点】:性价比高 【推荐程度】:9.9 【体验细节】:老师口活很好,阴毛旺盛水多性欲强,会得姿势超级多,逼紧包裹感拉满。 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】: #林初瑶 【联系方式】: @ky7007 【验证留名】:M猪 【验证时间】:2026.8.29 【上课打赏】:600 【颜值身材】:身材高挑,大胸 【服务内容】:课表 【服务态度】:好 【优点缺点】:大胸,服务好,姿势配合,情绪价值高 【推荐程度】:9 【体验细节】:看到初瑶老师回归了,抱着满怀期待见到老师,老师穿着一袭黑色包臀短裙,身材前凸后翘的正正好好。丰满有致的身材搭配黑色短裙显得气质绝佳,黑色短裙一脱,一对奶子弹了出来,饱满挺拔,身材纤秾有致,皮肤光滑。洗澡后先来了一波贴身胸推,直接给我摩擦硬了,美滋滋。感觉还差点意思,就叫老师换上性感的黑丝,老师俯身下来亲吻我的奶头,然后毫不害羞的和我对视,情不自禁的我也亲吻着老师的奶头。鸡儿已经邦邦硬,老师一口含住上下吞吐,蛋蛋也被小舌头特殊关照一番。随着老师的埋头苦干,奶子在眼前上下弹甩,…
【佛山报告】[https://t.me/FSqun] 【所在位置】: #禅城 【老师艺名】: #惠子 【联系方式】: @huizi1123 【验证留名】:匿名 【验证时间】:2026.8月底 【上课打赏】:P半价 【颜值身材】:人照7.5分 【服务内容】:嫩妹三件套 课表不全 【服务态度】:一般 【优点缺点】: 优点:嫩 有话聊不至于冷场 缺点:课表不全 催钟 车灯假照 无🐍 【推荐程度】:7 【体验细节】:课室好找,无门禁。人照除了车灯,去了美颜基本相符。进门能接话,不至于冷场但也说不上热情。正常冲凉之后,口一会便要求带t,感觉并未到位,遂提出拒绝。再继续简单服务之后带帽进入,姿势还算配合,但是会催钟。距老师反映,课时从进门开始即算时间开始。有点兴致缺缺了,随意抽插两下,意念出水撤退。 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)
❤1
【佛山报告】[https://t.me/FSqun] 【所在位置】:桂城区 【老师艺名】:点点 【联系方式】: @dlaz168 【验证留名】:酷二狗 【验证时间】:8.29 【上课打赏】:500 【颜值身材】:人照一致,身材曼妙无比 【服务内容】:按课表 【服务态度】:有耐心很细致 【优点缺点】:粉嫩紧致水超多,配合度高 【推荐程度】:强烈推荐 【体验细节】:点点老师的优点就是颜值长相五官都非常耐看,服务除了满意还是满意,老师对于你想的和你想索要的,她都非常非常的懂也配合,比较爽的是🐍管够口技非常棒,后入也是非常满足。值得各位狼友 cj 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)
❤1
【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:惠子 【联系方式】:@huizi1123 【验证留名】:囧囧 【验证时间】:8.28 【上课打赏】:700 【颜值身材】:小巧 腿长 【服务内容】:课表 【服务态度】:性格活拨开朗 【优点缺点】:缺点,无🐍 其他的都好 【推荐程度】:8.5分 【体验细节】:开门见到惠子妹妹第一眼就喜欢的不得了,就像谁家富家千金一样,细枝硕果芙蓉绣面仙女下凡。闲聊几句表达赞美后准备共浴,美乳翘臀直接令我二弟冲涨,洗的时候闻着头发一股飘香。然后转到床上互相爱抚,前戏真的很陶醉,口的很享受,我也没忍住品尝了妹妹的上下两唇,确实味道甜甜的,像是在吃小蛋糕。进入正戏后互换了两波攻防位又试了试抱起来做,第一次试抱着的体位加上有点累就没动几下,最后还是按到床上,吻着大长腿冲击结束战斗。ls住的屋子很宽敞明亮,做起来也有跟女友般亲热的感受。抱住老师戴上小蝴蝶结合照后吻别sa…
❤2
【佛山报告】[https://t.me/FSqun] 【所在位置】:佛山桂城 【老师艺名】:点点 【联系方式】: @dlaz168 【验证留名】:绿箭 【验证时间】:8月28日 【上课打赏】:500 【颜值身材】:9分 【服务内容】:课表服务都有 【服务态度】:服务细致又耐心 【优点缺点】:下面紧致水多,乳头粉粉的,吊感超好 【推荐程度】:10分 【体验细节】:点点本人跟照片区别不大,看起来瘦瘦的,但实际是肉肉软软的,摸着很舒服,🐻应该有C了,细支硕果。 妹妹性格乖巧可爱、非常听话,也能接话,不冷场。嘴没味🐍要就给,大蟒蛇很配合,能伸舌头。紧!紧!紧!真的很紧!本人小🐮123都觉得紧!我很少遇到这么紧的。随后女上,妹妹也有自己的节奏,也会跟着我的节奏调整。让人感觉这不是在服务而是在一起完成一段过程,这种美妙无法言说。没有机械感,没有重复感,每一刻都有反馈,女上姿势都没换就123了,主要是妹妹太紧了,真的忍不住啊!事后洗完聊天聊了…
❤1
【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:小纯 【联系方式】: @fenh567 【验证留名】:保安大队长 【验证时间】:8.27 【上课打赏】:300(半价) 【颜值身材】:9 【服务内容】:8 【服务态度】:8 【优点缺点】:缺点:嫩妹通病服务不行 情绪需要主动引导 优点:真人颜值幼嫩好看 皮肤白 梨型身材适合后入 【推荐程度】:8 【体验细节】:刚进门,见着小纯老师,跟照片一致,交完水费就冲凉,冲完凉小纯老师已经在等着了,身材屁股大,熊也有b。捏起来软软的,就是口活有齿感,还需各位师兄去调教。换我主动来,鲍鱼还是挺粉的,涮会鲍鱼就直接戴t,小保安已经迫不及待了,又是123,321结束战斗。 总结下来:态度还不错,需要会开发引导的师兄去调教。 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)
❤1
【佛山报告】[ https://t.me/FSqun ] 【所在位置】:南海桂城 【老师艺名】:#小夭 【联系方式】:@gf_yaoyao16888 【验证留名】:man 【验证时间】:8.27 【课程价位】:1100pp 【颜值身材】:biu特否 【服务内容】:特别耐心 【服务态度】:人美声甜 【优点缺点】:上围尤其优秀,服务控。 【推荐程度】:10分,至少服务态度上确实很好。 【体验细节】:小黄文省略,在下才疏学浅,过程下来,让人放松,没有机车,不催。 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,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 南海 【老师艺名】:Baby大大 【联系方式】:@ddcftaa 【验证留名】:G的日子 【验证时间】:8月底 【上课打赏】:800p 【颜值身材】:颜值天花 身材好 没有肚子 赘肉 【服务内容】:课表有的 【服务态度】:热情 【优点缺点】:下面讲解 【推荐程度】:推荐 【体验细节】: 最近老是约不上 太佛系了大大 一会儿休息 一会儿开课 人美 人照一致 港风范儿 天生五官精致脸 Baby大大 已经是老朋友的老朋友了 不能在陌生了 来大大这里 超过了 十多次。不忙的时候我会写反馈报告。大大还是那样的大大方方,今天大大穿了很休闲 一身悠闲装扮。大大帮我脱完衣服 我去洗澡了🛁 大大比之前更有味道了一些越来越港星御姐范儿了。大有不同了 服务也越来越熟悉了 熟练很多。房间准备了有牛肉干 饮品 🧃 水果🍉 和小零食面包等等。到大大这里跟回女朋友家似的 很亲切 很舒…
Showing the 12 most recent of 88 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.
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“佛山报告分享” (@FSKKB), 14,318 subscribers as measured 3 September 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.