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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
TypeChannel
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
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live30 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/yulevip168

Growth

15,74916,45616,102.519 August 2026 — 16,409 subscribers19 August 2026 — 16,409 subscribers20 August 2026 — 16,316 subscribers21 August 2026 — 15,898 subscribers22 August 2026 — 15,763 subscribers24 August 2026 — 16,097 subscribers25 August 2026 — 15,798 subscribers26 August 2026 — 15,749 subscribers27 August 2026 — 15,789 subscribers28 August 2026 — 16,049 subscribers29 August 2026 — 16,456 subscribers30 August 2026 — 16,429 subscribers16,42919 August 202630 August 2026
12 measurements spanning 11 days, net +20. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,643–16,562 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 04:0416,429-27
29 Aug 2026, 03:0116,456+407
28 Aug 2026, 01:4316,049+260
27 Aug 2026, 02:5715,789+40
26 Aug 2026, 05:2415,749-49
25 Aug 2026, 07:4215,798-299
24 Aug 2026, 10:0816,097+334
22 Aug 2026, 16:2815,763-135
21 Aug 2026, 05:3615,898-418
20 Aug 2026, 06:1316,316-93
19 Aug 2026, 11:1516,409no change
19 Aug 2026, 11:0016,409first reading

Engagement

13 posts held, back to 7 August 2026the 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held13 (7 August 202628 August 2026)
Views total12,307
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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

28 Aug 2026, 07:03 UTC386 viewsread 30 August 2026
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🫣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💕 😧😧😧😧😧😧😧😧😧

27 Aug 2026, 05:07 UTC694 views0 reactionsread 30 August 2026
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🫣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💕 😧😧😧😧😧😧😧😧😧

26 Aug 2026, 09:43 UTC958 views1 reactionsread 30 August 2026
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🫣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

25 Aug 2026, 03:49 UTC≈1,210 viewsread 30 August 2026
Photo

🫥花名: 奶霸 😐定位: 天河区 😳课费: 800/p 1500/pp 🫥私聊: @naiba13 😓小窝: @ncisx09 😐报告: @hsisi13 🫣标签: #大胸 #舌吻 #裸吹 #制服 😟视频已认证🤔

25 Aug 2026, 03:49 UTC877 viewsread 28 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7711311097

22 Aug 2026, 08:09 UTC≈1,260 viewsread 28 August 2026
Photo

🫣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🪄 😧😧😧😧😧😧😧😧😧

21 Aug 2026, 10:20 UTC≈1,320 views1 reactionsread 27 August 2026
Photo

#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

20 Aug 2026, 15:20 UTC700 viewsread 25 August 2026
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#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🖐️

20 Aug 2026, 05:39 UTC566 viewsread 21 August 2026
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🫣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🪄 😧😧😧😧😧😧😧😧😧

16 Aug 2026, 05:30 UTC732 viewsread 20 August 2026
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🫣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🪄 😧😧😧😧😧😧😧😧😧

15 Aug 2026, 08:06 UTC823 viewsread 20 August 2026
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🫣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🪄 😧😧😧😧😧😧😧😧😧

13 Aug 2026, 13:26 UTC791 views2 reactionsread 19 August 2026
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🫣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.

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.