😛 名称:#小梦 📍 地区:#佛山 #禅城 💰 价格:#6P #12PP 😒 认证:#个人老师 ✈️ 联系:@diucew1 💟 频道:@dnjd18 🤖 双向:@daaduiv_bot 🏷 标签:#毒龙 #口爆 #无套口
❤2🔥1

Channel
@foshanrzzy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,851subscribers
+681 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002314904378 |
|---|---|
| Type | Channel |
| Username | @foshanrzzy |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/foshanrzzy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 08:41 | 20,851 | +47 |
| 4 Sept 2026, 00:15 | 20,804 | +35 |
| 2 Sept 2026, 11:53 | 20,769 | +44 |
| 1 Sept 2026, 10:06 | 20,725 | +108 |
| 31 Aug 2026, 07:04 | 20,617 | +32 |
| 30 Aug 2026, 09:13 | 20,585 | +57 |
| 29 Aug 2026, 08:07 | 20,528 | +50 |
| 28 Aug 2026, 05:13 | 20,478 | +108 |
| 27 Aug 2026, 04:12 | 20,370 | +61 |
| 26 Aug 2026, 02:34 | 20,309 | +68 |
| 25 Aug 2026, 03:33 | 20,241 | +12 |
| 23 Aug 2026, 22:24 | 20,229 | -3 |
| 22 Aug 2026, 03:36 | 20,232 | +30 |
| 20 Aug 2026, 19:13 | 20,202 | +32 |
| 20 Aug 2026, 03:00 | 20,170 | no change |
| 20 Aug 2026, 02:45 | 20,170 | first reading |
8 posts held, back to 16 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 29 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 1 September 2026 |
|---|---|
| Posts held | 8 (16 August 2026 – 1 September 2026) |
| Views total | 11,802 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 18:09 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.
Measured directly from 4 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.
29 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 41.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 41.4% | |
| 🔥 | 9 | 31.0% | |
| 👍 | 6 | 20.7% | |
| 🥰 | 2 | 6.90% |
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 8 of the 8 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 16 August 2026 to 1 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.
😛 名称:#小梦 📍 地区:#佛山 #禅城 💰 价格:#6P #12PP 😒 认证:#个人老师 ✈️ 联系:@diucew1 💟 频道:@dnjd18 🤖 双向:@daaduiv_bot 🏷 标签:#毒龙 #口爆 #无套口
❤2🔥1
【所在位置】:#禅城 【老师艺名】:柚子 【联系账号】:@xyouzi06 【验证留名】:李白 【验证时间】:9月1 【上课价位】:600p 【颜值身材】:9 【服务态度】:10 【推荐程度】:10 【体验细节】:进门第一眼看老师身材好,穿着丝袜,直接爱上了,聊了一下就去洗澡了,帮忙洗,然后重新换上吊带,躺在床上看着老师,直接看硬了,先浅吻,接着亲咪咪,然后口弟弟,舔蛋蛋,然后抱了抱老师,老师头发很香,一边摸着老师的黑丝美腿,一边亲,老师脱掉衣服,帮我带好TT,就开始观音坐莲,一顿对我输出,一边做一边摸鼻血都快流出来了,越做越紧,夹的扛不住了,立马换一个换姿势,扛起老师的腿,一边亲一边摸,最后在一顿猛攻下缴枪。爽!
👍1🔥1🥰1
😛 名称:#柚子 📍 地区:#佛山 #禅城 💰 价格:#6P #13PP 😒 认证:#个人老师 ✈️ 联系:@xyouzi06 💟 频道:@youziyuan8 🤖 双向:@youzizhusbot 🏷 标签:#深喉 #口爆 #丝袜 报告一
❤1👍1🔥1
【位置艺名】:#禅城 【联系方式】:@cmbb06 【喝茶留名】:赤辣椒 【喝茶时间】:8.20 【喝茶价格】:600p 【芳龄身高】:172cm 【罩杯手感】:D 【服务内容】:课表上有 【优点缺点】:女友感拉满,很投入,主动性强。颜值就是初恋女友 【体验细节】: 试过抱很高期待而踩雷的情况,但是真的表现高于期待。她很性感,我一直幻想和甜美性感系女孩做爱,如今终于得偿所愿。她不在服务上取胜,而是胜在那种韵味,就是和一个初出茅庐的女生做爱的感觉。我看她头发半遮面,性感的嘴巴上下滑动,居然生出一种此生无憾的感慨。 唯一有些不悦地是,到地方等待了一会,说刚来在弄东西,也能够理解,开车把我接进小区。做爱的时候,女上位是一种境界,传教士又是另一种境界,女上的时候,我感受到一种羞涩,让我忍不住坐起来,舔她的巨乳,抱着她的臀部缓缓摇动;传教士的时候,我们有两种战斗方式,一个是她双腿夹着我的腰,双臂抱着我的颈,我剧烈抽插,她来了至少一次,一…
🔥2❤1👍1
😛 名称:#草莓 📍 地区:#佛山 #禅城 💰 价格:#6P #12PP 😒 认证:#个人老师 ✈️ 联系:@cmbb06 💟 频道:@dinjicm 🤖 双向:@caomeizhusbot 🏷 标签:#舌吻 #69式 #制服 报告一
❤4👍1🔥1
心动💗世界 主题莞式会所 #佛山 📱📱八大主题房间 尽享心动💓 📱📱📱 各类情景再现,麻豆剧情演绎 如果普通玩法不满足那🤓🤓🤓🤓 📱 上百套情趣制服,丝袜高跟鞋盛宴 📱 搭配各类皮鞭眼罩道具类玩转4T 📱 00后美女无套口爆,深入体验插入 😀更有莞式十八式之红绳空中飞人 😀又有倒立旋转飞人吹箫 😀再现水磨干磨莞式spa 😀😀😀😀😀😀😀😀😀😀😀 🤣全场海选,组选,每天出勤👍👍 ➕ 🤣主打嫩模,各类兼职,KTV小妹下海捞金 🤣🤣🤣 停车方便😀送红牛中华香烟😀 😀😀😀😀😀😀😀😀😀😀😀 📱📱🤣🤣 🤣🤣🤣🤣 客服号 : @hhhuoddd 双向限制: @hhuodbot 频道: @xingdunai
❤1👍1🔥1
😛 名称:#奈奈 📍 地区:#佛山 #郸城 💰 价格:#8P #15PP 😒 认证:#视频认证 ✈️ 联系:@nianaiccc 💟 频道:@nainaixx123 🤖 双向:@nainai765Bot 🏷 标签:#共浴 #口爆 #调情
❤2🔥1🥰1
😛 名称:#Lulu 📍 地区:#佛山 #禅城 💰 价格:#5P #10PP 😒 认证:#视频认证 ✈️ 联系:@Lulu200678 💟 频道:@lulu87431 🤖 双向: 🏷 标签:#丝袜 #胸推 #调情
❤1👍1🔥1
Showing the 8 most recent of 8 posts we hold for @foshanrzzy. 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.
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 1 registered channel — 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.
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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“佛山【认证资源榜】” (@foshanrzzy), 20,851 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/foshanrzzy.
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.