🫣广州顶级娱乐推荐 😮💨艺名: 爱丽莎 😧地区: 广州天河 😮💨水费: 700/p 1300/pp 😮💨联系: @ailisha9 😵相册: @hisu52 😧😧😧😧😧😧😧😧😧 服务特色: 舌吻💦⑥⑨🐍舌吻🌜制服💕 😧😧😧😧😧😧😧😧😧

Channel
广州顶级娱乐资源榜
@yulevip168
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,429subscribers
+20 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002665247063 |
|---|---|
| Type | Channel |
| Username | @yulevip168 |
| Description | 繁花落尽春风里 绣被郎官不负春 💖上榜专员: @F777777B 💙聊天总群: t.me/gzyulevip 💚报告展示: t.me/yuljimv |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/yulevip168 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 04:04 | 16,429 | -27 |
| 29 Aug 2026, 03:01 | 16,456 | +407 |
| 28 Aug 2026, 01:43 | 16,049 | +260 |
| 27 Aug 2026, 02:57 | 15,789 | +40 |
| 26 Aug 2026, 05:24 | 15,749 | -49 |
| 25 Aug 2026, 07:42 | 15,798 | -299 |
| 24 Aug 2026, 10:08 | 16,097 | +334 |
| 22 Aug 2026, 16:28 | 15,763 | -135 |
| 21 Aug 2026, 05:36 | 15,898 | -418 |
| 20 Aug 2026, 06:13 | 16,316 | -93 |
| 19 Aug 2026, 11:15 | 16,409 | no change |
| 19 Aug 2026, 11:00 | 16,409 | first reading |
Engagement
13 posts held, back to 7 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.76%
- avg views ÷ 16,429 subscribers
- Avg views / post
- 947
- 13 posts measured
- Reaction rate
- 0.07%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 13 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 5 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 13 (7 August 2026 – 28 August 2026) |
| Views total | 12,307 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 15:29 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
- 276
- Videos
- 38
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1m 26s
- Average length
- 9s
Measured directly from 10 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
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 5 of the 13 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 7 August 2026 to 28 August 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
🫣广州顶级娱乐推荐 😮💨艺名: 小魔女 😧地区: 广州天河 😮💨水费: 800/p 1500/pp 😮💨联系:@xmn0505 😵相册: @dcnil19 😧😧😧😧😧😧😧😧😧 服务特色: 舌吻💦⑥⑨😄嫩妹🌜大胸💕 😧😧😧😧😧😧😧😧😧
🫣广州顶级娱乐推荐 😮💨艺名: 花店老板娘 😧地区: 广州天河 😮💨水费: 800/p 1500/pp 😮💨联系:@huals88 😵相册: @huad80 😧😧😧😧😧😧😧😧😧 服务特色: 舌吻💦⑥⑨😄毒龙🌜制服💕 😧😧😧😧😧😧😧😧😧
❤1
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🫣广州顶级娱乐推荐 😮💨艺名: 柳如烟 😧地区: 广州 #天河区 😮💨水费: 800/p 1600/pp 😮💨联系: @mlxjj77 😵相册: @mlxyhy1 😧😧😧😧😧😧😧😧😧 服务特色: 毒龙🌜胸推😄可69💕 混血🪄 😧😧😧😧😧😧😧😧😧
#98场 #天河 #白云 #海珠 #越秀 #黄埔 #南沙 #增城 #番禺 #花都 #荔湾 #中高端外围 #洋酒 😍微信安排:频道里面⏬⏬⏬ 选人:https://t.me/guangzhou98365 ÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷ 🛁沐浴👙调情 🐻胸推 ♋️69 👄舌吻 👅口活 👗制服 🙌🏻按摩👏🏻做爱 ÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷ 中⭕️中高端【🈶工作室/🉑外】 一条🐉两次国产:19至25张 一条🐉两次洋酒:25至30张 大⭕️顶级3K:一条🐉一次 ÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷ 小⭕️楼凤98场【🈶工作室/不外】 全套一次消费:5张至8张 全套两次消费:11张至15张 包夜8小时消费:20至25张 ÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷÷ 😍进频道看清有需要加微信安排 频道选人顶置微信安排⏬ 👉👉频道:https://t.me/guangzhou98365 电报:@Beat8
❤1
#广州 #白云区 #东平 #龙归 #嘉禾望岗 #永泰 #太和 #江夏 广州白云东平顶级SPA❗️ 🇰🇷🌼式92-94⛽️ ,挑战您欲望😍 🔥主打嫩模 00后👩~主题服饰👙~ 黑丝诱惑,全新技师团队🔥 项目1️⃣原价369、预约价339元 ♨️92高端精品课程表 服务时间:60分钟 服务特色:全身梦幻推油、指尖漫游、🐻贴调情👙、吸👅诱惑、全身过水👅、夺魂呻吟🔥双手戏🐉珠、飘飘欲仙💨、一飞冲天(服务时间内出2💦) 项目2️⃣原价469、预约价439元 🫦94高端精品课程表 服 务 时 间 :7 0 分 钟 。 特 色 :半🍎真空 + 黑丝 ,半裸 互动(情趣内裤调情),魅舞表演,主打贴身,好玩,刺激。 📖内容:真🈳半🍎 投怀送抱 激情互动 神油🐻推 🐻全身漫游采蜜🐝 👅奶头 高⛰️流水 👃吸 仙女偷🍑 果冻毒🐲 果冻 👅🥚 果冻调情棍棍 哪里敏感👅哪里 黑丝诱惑💗👅式调情 跪式抓🐲筋 S足M腿😍花式🖐️…
🫣广州顶级娱乐推荐 😮💨艺名: 狂野 😧地区: 广州 #天河区 😮💨水费: 1200/p 2000/pp 😮💨联系: @fcmhj88y 😵相册: @hjm52088y 😧😧😧😧😧😧😧😧😧 服务特色: 毒龙🌜胸推😄可69💕 SM🪄 😧😧😧😧😧😧😧😧😧
🫣广州顶级娱乐推荐 😮💨艺名: BBW蜜桃 😧地区: #天河区 😮💨水费: 800/p 1400/pp 😮💨联系: @mitao822 😵相册: @mitao220 😧😧😧😧😧😧😧😧😧 服务特色: 大胸🌜深喉😄可69💕 舌吻🪄 😧😧😧😧😧😧😧😧😧
🫣广州顶级娱乐推荐 😮💨艺名: 小乔 😧地区: 广州 #天河区 😮💨水费: 800/p 1500/pp 😮💨联系: @xiaoqiao87 😵相册: @xiaoqiao1185 😧😧😧😧😧😧😧😧😧 服务特色: 毒龙🌜胸推😄可69💕 口爆🪄 😧😧😧😧😧😧😧😧😧
🫣广州顶级娱乐推荐 😮💨艺名: 甜甜 😧地区: #天河区 😮💨水费: 800/p 1500/pp 😮💨联系: @xiaoluoli6 😵相册: @xttluol1 😧😧😧😧😧😧😧😧😧 服务特色: 毒龙🌜深喉😄可69💕 舌吻🪄 😧😧😧😧😧😧😧😧😧
❤2
Showing the 12 most recent of 13 posts we hold for @yulevip168. 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.
Citation-graph rank
Citation-graph rank — 1,454,338 of 1,627,445entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
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.
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.
@guangzhou98365 · 2,2771 post女王🦋狂野🦋新频道
@hjm52088y · 3,8291 post广州04年花店老板娘38D🌹
@huad80 · 12,1491 post极搜🔍资源搜索@JISOU
@jisou2 · 1,570,6371 post广州天河BBW蜜桃🍑专属私域福利
@mitao220 · 13,6631 post广州马来西亚🇲🇾柳如烟华裔
@mlxyhy1 · 8,9231 post广州顶流奶霸频道❤️
@ncisx09 · 14,2031 post🍃广州清纯小乔🥰
@xiaoqiao1185 · 7,8931 post🍭广州兼职06年小萝莉甜甜🍇
@xttluol1 · 17,8731 post
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“广州顶级娱乐资源榜” (@yulevip168), 16,429 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/yulevip168.
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.