特色:东莞惠州00后制服全裸海选专场真毒龙5选一(每日出勤70人,澳门海选模式) 特色:有服装要求的现场选特色服装,SM角色扮演,欲擒故纵小主专宠小奶狗,SM情趣猫女郎调教角色扮演师,扑倒征服,专治不服,手撕丝袜,被虐攻略,亲🦶,👅足足交,刺激缸顶🐻出💧一次 项目一 (半裸): 原价498,订房398,时间60分钟性感情趣,魅舞互动,秀🐻,秀🦵,秀臀,360 度真🐻全身环游及背部,站坐趴各种调情姿势,鼻息全身加超骚叫🛏,🐍滑全身,从👂到🐻,咪咪互亲互👅,互吃🍼🍼,鼻息十🐍滑直到🌲角去,🐍👅全身,真毒🐲, 及棍,舔 🥚棍至少5 到10 分钟以上, 🧊🔥两重天(天冷不做 ), 项目二 :大多数人选择.互动性多.强烈推荐(全裸) 原价668,订房538,时间70分钟骚舞启动,开始骚媚舞互动,边跳边拖上依,各种骚摆,跪式服务亲🦵亲🦶,👅足,三角区真👅🥚棍,👅🐢頭(至少10分钟以上),小🐈钓鱼,真🐍毒🐲3-5 分钟,各种秀🐻,秀臀…

Channel
东莞大学【必刷】榜
@dsdssdfd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,989subscribers
+499 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003669505313 |
|---|---|
| Type | Channel |
| Username | @dsdssdfd |
| Description | 大学【必刷】榜 @dsdssdfd 大学【修车】群 @dgliok 管理哈佛大大: @hafo888bot |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/dsdssdfd |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 00:08 | 20,989 | -172 |
| 7 Nov 2026, 00:37 | 21,161 | -106 |
| 6 Nov 2026, 00:56 | 21,267 | -133 |
| 5 Nov 2026, 00:58 | 21,400 | -120 |
| 4 Nov 2026, 03:06 | 21,520 | -16 |
| 3 Nov 2026, 05:27 | 21,536 | -31 |
| 2 Nov 2026, 07:58 | 21,567 | -124 |
| 1 Nov 2026, 08:46 | 21,691 | +1,770 |
| 31 Oct 2026, 10:27 | 19,921 | -196 |
| 30 Oct 2026, 13:39 | 20,117 | -171 |
| 29 Oct 2026, 13:31 | 20,288 | -597 |
| 28 Oct 2026, 10:16 | 20,885 | -379 |
| 27 Oct 2026, 09:06 | 21,264 | -149 |
| 26 Oct 2026, 09:46 | 21,413 | +1,811 |
| 25 Oct 2026, 09:58 | 19,602 | -69 |
| 24 Oct 2026, 10:05 | 19,671 | -377 |
| 23 Oct 2026, 13:35 | 20,048 | -243 |
| 22 Oct 2026, 12:28 | 20,291 | -267 |
| 21 Oct 2026, 04:37 | 20,558 | -127 |
| 20 Oct 2026, 02:21 | 20,685 | first reading |
Engagement
24 posts held, back to 20 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.3%
- avg views ÷ 20,989 subscribers
- Avg views / post
- 2,590
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 24 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.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 24 (20 July 2026 – 8 November 2026) |
| Views total | 15,532 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 15:08 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
- 301
- Videos
- 28
- Links
- 30
Lifetime counters from Telegram’s own channel header, read 8 November 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
- 46s
- Average length
- 8s
Measured directly from 6 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
6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 🤔 | 1 | 16.7% |
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 6 of the 24 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 20 July 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 0 of 6 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
全国林妹高端外围【大⭕️圈】 #定金预约 本群已担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 学妹 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 没有玩过大圈的建议先点下方频道查看规则 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服 24小时接待联系即可
👼【花名】 菲儿 ⏳【课室】南城 💴【双向】 @ffxtscbb_bot ✈️【联系】 @ffxtscbb 💖【频道】 点击浏览频道👀 🫦【标签】已验证 💖P工兵卷剩余 待发放 🔰#课外车费随意不超过100 🔰#点击下方查看详情⬇️
圈界NO.1 🟡昵称:敏儿 🕐地区:#东城 🤖QQ:3010205340 🚀电报:@FFBB333 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 沐浴晨光的你格外柔和,清晨的微光洒在脸上,褪去所有浮华,最本真的样貌,干净纯粹,直击人心。 🔰#点击下方查看详情⬇️
圈界NO.1 🟡昵称:夕 夕 🕐地区:#东城南城寮步 🚀电报:@Linda_NguyenD24 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 54. 和你在一起,连最寻常的风都变得温柔了几分。 🔰#点击下方查看详情⬇️
业界NO.1 🟡花名:桃子 🕐位置:#东城 🤖双向:@tzsxjqr1bot 🚀电报:@qingxiao2 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 你的美兼具灵气与烟火,既有不食人间烟火的精致,又拥有普通人真实鲜活,两种特质融合得恰到好处。 🔰#点击下方查看详情⬇️
【全区95 98莞式全套海选会所】🌸私人定制spa私密会所 😇 海选 😇 油压 😇 莞式 😇 全套 😇 花式 🟢会所介绍 :海选模式 莞式服务, 环境豪华私密安全, 给您至尊享受的高端体验,可依您的喜好和需求为您做专属的私人项目定制。 更多剧本等你来解锁 主题房,制定角色,制定服装,满足你的所有幻想莞式36式 , 🛁皇帝共浴,💆菲式按摩,💪莞式抓龙, 👙制服诱惑, 👯♀️ 双人系列, ⛓️SM, 🍆情趣道具, ㊙️情景互动 全裸艳舞 😃 鸳鸯戏水😄 水磨推拿😄 口舌调情 😄 后口毒龙 😀胯下吞龙 😃手推胸推😄 足推臀推 😊 激情爱爱 😄 制服情趣😀 到店海选 😄【冰火双重天】😃 等三十多种项目。💒 🔥服务流程:皇帝共浴🛁指滑🫳🏻鼻息🗓舌尖漫游🥂-ab面骑士-💋柔式按摩放松-❤️花式调情雄起📞-水漫金山-🎯漫水吹箫💖-深情直入🥂🍀深喉😒69+ 🌹舔耳😒鸳鸯浴 玫瑰浴 ☘️…
圈界NO.1 🟡昵称:蓝儿私人 🕐地区:#南城 🤖双向:@text14769botbot 🚀电报:@wgfyi67245589 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 56. 你的善解人意,是这个世界上最动人的语言。 🔰#点击下方查看详情⬇️
💞东莞唯一独家【六感裸身私享释放抓龙筋SPA】 免费提供制服👗蕾丝👙黑白袜👠,半裸全面且深度的体验(胸手足出),时间内不限次数,纯口啤服务,私密性很好,温柔细腻的手法带来极致放松体验。舒缓压力,唤醒身体的每一处感官。👍 梦境级前列腺高潮体验、穿插轻度sm体验😌独创二代抓龙筋手法、冰火石三角区经络疏通、丝袜捆绑脱敏、三起三落龟责脱敏训练、AV级寸止榨精,引导了解和运用自己的副交感神经系统,助您坚挺、延时😉 核心承诺: ✅ 一次一消毒 · 全程不偷钟 · 深度释放不限次数 ✅ 真人认证 · 98年细腰长腿 · 3年泰式+日式抓龙筋经验 ✅ 事后24小时硬度提升明显 · 不满意可补时 套餐A:内观疗愈 60分钟/499元 套餐B:身心灵疗愈 80分钟/699元 套餐C:六感极乐涅槃 90分钟/899元 🧸营业时间:中午12点到凌晨 上课预约地址: ✅东莞市科技十路中天国际创新园 ✅南城市民中心地铁站 联系我☎️: @dghyS…
🟡昵称:小敏抓龙筋 🕐地区:南城~虎门 🚀电报:@xiaomin013 🔔频道:点击预览👀 ✅双向: @xiaomin015bot 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你拥有一份难得的鲜活灵气,没有被生活消磨掉神采,眼底始终光亮,这份灵气,让容貌拥有鲜活灵魂。 🔰#点击下方查看详情⬇️
🟡昵称: #小月月 🕐地区:#南城 🤖双向: @Taiqiujzxyy_bot 🚀电报:@xiaoyymmya 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
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_7965495457
Showing the 12 most recent of 24 posts we hold for @dsdssdfd. 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
Names
Channels on the register whose handles appear in this channel's posts.
@Jjkkhhhkjhh · 4,9322 posts东莞惠州94会所海选专场
@Qqm666888 · 3,5272 posts全国林妹大圈⭕️
@yewuzuvip · 40,4802 postsyangchig.www_q
@ABChig6666 · 291 post菲儿朋友圈
@ffhjjhggjj · 1921 post东莞.惠州👉94海选全裸00后专场
@gdhs888 · 1,2931 post东莞,惠州👉腾云阁&桑拿会所
@gh3006 · 3001 post全国大圈极品聚集总部
@hnanjingjujidi · 4,7851 post小敏~抓🐉筋频道
@humenjin52 · 2,7211 post95 98莞式海选会所
@hxhdhhdhhux12 · 5,0841 post极搜🔍资源搜索@JISOU
@jisou2 · 2,483,4221 post东莞裸身抚触抓龙筋SPA
@szchujianSPA · 3,3751 post长安楚楚95半套❤️🔥🔥、
@weai520 · 1,4581 post大朗梦梦95半套❤️🔥交流群
@wofengni · 1,4721 post东莞大朗.寮步口技学院。
@xiaoqiaom · 2,3021 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“东莞大学【必刷】榜” (@dsdssdfd), 20,989 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/dsdssdfd.
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.