💋名字: #UU #已认证 🗺地区: #广州 #海珠区 💸价格:700P—1400PP 🚀联系: @Uu27027 👀频道: https://t.me/UU270270 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势

Channel
广州鸟语花香娱乐榜
@shhtyc2
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,996subscribers
-744 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001236642749 |
|---|---|
| Type | Channel |
| Username | @shhtyc2 |
| Description | 💞上榜管理💞 @xbtx88 💘关联群💘 https://t.me/shhtyc1 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 39 |
| Confirmed unchanged | 2 times, most recently 25 October 2026 |
| On Telegram | t.me/shhtyc2 |
Topic
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 11:27 | 31,996 | +10 |
| 23 Oct 2026, 10:09 | 31,986 | +21 |
| 22 Oct 2026, 09:21 | 31,965 | +6 |
| 21 Oct 2026, 05:28 | 31,959 | -14 |
| 20 Oct 2026, 05:59 | 31,973 | -11 |
| 19 Oct 2026, 05:19 | 31,984 | -14 |
| 18 Oct 2026, 04:51 | 31,998 | +29 |
| 17 Oct 2026, 01:58 | 31,969 | -14 |
| 16 Oct 2026, 02:46 | 31,983 | -34 |
| 15 Oct 2026, 00:38 | 32,017 | -6 |
| 13 Oct 2026, 19:28 | 32,023 | +5 |
| 10 Oct 2026, 07:42 | 32,018 | -137 |
| 6 Oct 2026, 00:55 | 32,155 | -25 |
| 30 Sept 2026, 15:02 | 32,180 | +17 |
| 18 Sept 2026, 02:57 | 32,163 | +323 |
| 15 Sept 2026, 19:21 | 31,840 | +465 |
| 14 Sept 2026, 02:20 | 31,375 | +271 |
| 12 Sept 2026, 10:38 | 31,104 | +207 |
| 10 Sept 2026, 04:39 | 30,897 | -884 |
| 6 Sept 2026, 23:56 | 31,781 | first reading |
Engagement
79 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 116 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.06%
- avg views ÷ 31,996 subscribers
- Avg views / post
- 2,900
- 29 posts measured
- Reaction rate
- 0.034%
- reactions ÷ views · ER floor
- Posts in window
- 30
- of 79 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 9 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 79 (7 August 2026 – 24 October 2026) |
| Views total | 84,043 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 15:53 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
- ≈2,140
- Videos
- ≈209
- Links
- ≈245
Lifetime counters from Telegram’s own channel header, read 25 October 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.
- Video runtime
- 3m 50s
- Average length
- 10s
Measured directly from 23 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
18 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 38.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 38.9% | |
| 👎 | 2 | 11.1% | |
| 🌚 | 1 | 5.56% | |
| 👻 | 1 | 5.56% | |
| 💊 | 1 | 5.56% | |
| 🗿 | 1 | 5.56% | |
| 😈 | 1 | 5.56% | |
| 😐 | 1 | 5.56% | |
| 🙈 | 1 | 5.56% | |
| 🤨 | 1 | 5.56% | |
| 🤮 | 1 | 5.56% |
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 17 of the 79 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 7 August 2026 to 24 October 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
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🤨1
💋名字: #欣欣 #已认证 🗺地区: #广州 #天河区 💸价格:800P—1400PP 🚀联系: @xvgnnm 👀频道: https://t.me/+E4I7e5fLemdmYmYx 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
😦位置: #广州 #天河区 📱花名: #花店老板娘 📣标签:#已视频认证 💸课费: 800/p-1500/pp 🚀私聊: @huals88 🙂频道: @huad80 报告区 :@hjdu19 机器人:@qimeng22_bot 标签: #御姐 #可69 #舌吻 #口暴 😟视频已认证🤔 😜
💋名字: #狂野 #已认证 🗺地区: #广州 #天河区 💸价格:1200P —2000PP 💬资料: 身高168 体重48KG 🐻36D 🚀联系: @fcmhj88y 👀频道: @hjm52088y 🤖机器人: @kuangye88_bot 🎀标签: #陪浴 #按摩 #🐻推 #臂推 #毒🐲 #69 #互舔 #互动 #口爆 #丝袜 #制服 #漫游 #激情爱爱 #高度配合
💋名字: #芊芊 #已认证 🗺地区: #广州 #白云 💸价格:700P—1400PP 🚀联系: @BQian52 👀频道: http://t.me/qqhg910 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
🎀艺名: 小猫猫 🌈地址: 禅城区 💥课费:600P-1200PP 🚀联系:@sgeixisnj123 💎小窝:https://t.me/siskksiedosks9 ✅双向:@sgeixisnj123_bot ✏️视频:已认证✅ 🚀🌈🌈
🎟️ 抽奖标题:米饭老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@gzmfls 🎫 参与条件: 🎫 加入-广州顶流38D米饭窝❤️🔥 🎫 加入-广州鸟语花香娱乐榜 🎫 加入-广州鸟语花香 🎫 加入-广州太子妃 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券400 × 5 💰️ 2p优惠券300 × 10 💰️ 1p优惠券200 × 10 📅 开奖时间:2026-10-17 13:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L179205494409
💋名字: #小星朵 #已认证 🗺地区: #广州 #天河区 💸价格:700P—1400PP 🚀联系: @xiaoxinduo85 👀频道: https://t.me/xiaoxinduo96 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
🎟️ 抽奖标题:狂野老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@fcmhj88y 🎫 参与条件: 🎫 加入-女王🦋狂野🦋新频道 🎫 加入-广州鸟语花香娱乐榜 🎫 加入-广州鸟语花香 🎫 加入-广州太子妃 🎁 奖品内容: 💰️ 口令红包20 × 1 💰️ 夜课优惠券300 × 5 💰️ 2p优惠券200 × 8 💰️ 1p优惠券100 × 8 📅 开奖时间:2026-10-14 14:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L179178541065
💋名字: #苏苏 #已认证 🗺地区: #广州 #黄浦 💸价格:600P—1100PP 🚀联系: @aiwo520131 👀频道: https://t.me/aiwo5201319 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
❤1
Showing the 12 most recent of 79 posts we hold for @shhtyc2. 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.
Mentions
Named by 2 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.
@shhtyc1 · 51,87430 posts🧧GT免费抽奖机器人🧧
@zzbjqrbot · 20,16930 posts广州印象
@gzyx99 · 43,26024 posts广州太子妃
@gztzf1 · 47,33923 posts广州顶流奶霸频道❤️
@ncisx09 · 11,6679 posts广州05二次元小魔女花园🔥🔥🔥
@dcnil19 · 9,9107 posts🍭广州兼职06年小萝莉甜甜🍇
@xttluol1 · 13,4826 posts女王🦋狂野🦋新频道
@hjm52088y · 4,4065 posts广州模特瑶瑶私密窝38E
@yy168d · 6,0435 posts❤️广州御姐38D晶晶🔥
@yujiejj · 9,1634 posts天河06新加坡🇸🇬留学兼职
@cnaiz23 · 11,1113 posts广州顶流38D米饭窝❤️🔥
@fuhidcr26 · 2,4693 posts花店老板娘好评专用
@hjdu19 · 2813 posts广州04年花店老板娘38D🌹
@huad80 · 13,8113 posts莞式服务-苏苏小室
@aiwo5201319 · 1,1312 posts广州马来西亚🇲🇾柳如烟华裔
@mlxyhy1 · 12,2312 posts广州泰式古法抓龙筋(蓉蓉)
@rong505 · 4,5772 posts😘天河小羊专属私密😘
@sweii710 · 9,8162 posts78.COM-官方频道@DF78
@tg78com · 27,5752 posts小星朵的反差日记💗
@xiaoxinduo96 · 9292 posts小魔女报告频道
@xmv9901 · 1642 posts微微小花园
@baiyunxiao · 2171 post诗涵的频道
@hjkbchh · 3501 post小怡怡🏠(重建版)
@yiyi00808 · 3971 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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“广州鸟语花香娱乐榜” (@shhtyc2), 31,996 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/shhtyc2.
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.