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Channel

东莞师范大学必吃榜

@xcxoxv

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

23,577subscribers

+17,794 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002981508688
TypeChannel
Username@xcxoxv
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live22 October 2026
Measurements held46
Confirmed unchanged1 time, most recently 22 October 2026
On Telegramt.me/xcxoxv

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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

5,78323,57714,6807 August 2026 — 5,783 subscribers7 August 2026 — 5,783 subscribers8 August 2026 — 10,178 subscribers9 August 2026 — 10,205 subscribers10 August 2026 — 10,220 subscribers11 August 2026 — 10,247 subscribers12 August 2026 — 10,262 subscribers13 August 2026 — 10,307 subscribers14 August 2026 — 10,329 subscribers15 August 2026 — 10,378 subscribers17 August 2026 — 10,407 subscribers18 August 2026 — 10,429 subscribers19 August 2026 — 10,442 subscribers20 August 2026 — 10,475 subscribers21 August 2026 — 10,491 subscribers22 August 2026 — 10,524 subscribers24 August 2026 — 10,559 subscribers25 August 2026 — 10,557 subscribers26 August 2026 — 10,561 subscribers27 August 2026 — 10,585 subscribers28 August 2026 — 10,613 subscribers29 August 2026 — 10,628 subscribers30 August 2026 — 10,633 subscribers30 August 2026 — 10,645 subscribers31 August 2026 — 10,678 subscribers1 September 2026 — 10,713 subscribers2 September 2026 — 10,731 subscribers4 September 2026 — 10,736 subscribers6 September 2026 — 10,829 subscribers10 September 2026 — 10,838 subscribers12 September 2026 — 10,670 subscribers14 September 2026 — 10,447 subscribers15 September 2026 — 10,705 subscribers17 September 2026 — 10,333 subscribers27 September 2026 — 21,530 subscribers4 October 2026 — 20,069 subscribers9 October 2026 — 19,533 subscribers13 October 2026 — 19,517 subscribers14 October 2026 — 19,369 subscribers15 October 2026 — 19,132 subscribers16 October 2026 — 19,055 subscribers18 October 2026 — 18,982 subscribers18 October 2026 — 18,994 subscribers20 October 2026 — 21,111 subscribers21 October 2026 — 23,504 subscribers22 October 2026 — 23,577 subscribers7 August 202622 October 2026
46 measurements spanning 76 days, net +17,794. 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 3,114–26,246 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
22 Oct 2026, 11:4623,577+73
21 Oct 2026, 06:3623,504+2,393
20 Oct 2026, 01:1021,111+2,117
18 Oct 2026, 21:3818,994+12
18 Oct 2026, 00:1618,982-73
16 Oct 2026, 22:3619,055-77
15 Oct 2026, 20:5619,132-237
14 Oct 2026, 21:5919,369-148
13 Oct 2026, 12:5019,517-16
9 Oct 2026, 09:1719,533-536
4 Oct 2026, 22:0220,069-1,461
27 Sept 2026, 16:4021,530+11,197
17 Sept 2026, 17:5610,333-372
15 Sept 2026, 17:5810,705+258
14 Sept 2026, 00:2010,447-223
12 Sept 2026, 08:3710,670-168
10 Sept 2026, 06:1910,838+9
6 Sept 2026, 23:4110,829+93
4 Sept 2026, 06:4010,736+5
2 Sept 2026, 20:4810,731first reading

Engagement

48 posts held, back to 5 April 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 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.05%
avg views ÷ 23,577 subscribers
Avg views / post
719
19 posts measured
Reaction rate
0.533%
reactions ÷ views · ER floor
Posts in window
19
of 48 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 13 of 19 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 21 October 2026
Posts held48 (5 April 2026 – 21 October 2026)
Views total13,660
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 06:58 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

Video runtime
2m 58s
Average length
9s

Measured directly from 19 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

202 reactions across 40 posts, in 8 distinct kinds. The most used accounts for 76.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15576.7%
🔥157.43%
👍104.95%
🥰62.97%
😁52.48%
😍41.98%
🤔41.98%
👏31.49%

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 40 of the 48 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 202 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 5 April 2026 to 21 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

21 Oct 2026, 04:56 UTC67 views4 reactionsread 21 October 2026

群里经常活跃水群的兄弟们有福利了,多来群里玩的兄弟后面会优先获得工兵名额,群里活动不停,发送(字样)(抽奖) (积分兑换) (邀请) 都有奖励 工兵卷经常发放。抽奖5天开奖半价卷和现金红包,白嫖卷15天开奖,积分兑换丰富多彩,邀请好友一个1.5元福利更有很多现金红包等你来拿,欢迎各界狼友,水王,水仙,水神前来参与,⚠️⚠️⚠️

👏3❤1

21 Oct 2026, 04:43 UTC85 viewsread 21 October 2026
Photo

南城邱爽半价工兵两名去的兄弟们火速报名

21 Oct 2026, 04:43 UTC73 views3 reactionsread 21 October 2026
Photo

📱邱爽🌐#东莞南城 💴【学费】500p 🛫【联系】@qiu_shuang 🥂【双向】 📱【频道】https://t.me/qiu123123 ❤️【硬件】38D ❓上榜管理 @zhanglei8880 🛍技术交流 https://t.me/xoxvxc

❤3

20 Oct 2026, 07:44 UTC224 views7 reactionsread 21 October 2026
Photo

东莞市区 首家|丝足👠直营休闲会所 项目:#92场 #93场 #94场 【营业时间】中午12.00~凌晨6.00 会所楼下就是停车场,免费停车,地铁口出来就是,交通便利,饮料免费畅饮 #20多间房 #25+小妹 90% 00后,经过专业培训,欢迎大家来做客,体验丝足诱惑 #丝足按摩 简介:新模式大型休闲会所,25+魅力选妃,绝对物超所值,宾至如归,相信大家都有地方去按摩,但绝对缺少的是一家好的优质的按摩会所,大家给我一次机会,我还大家十次满意,来过的都是回头客!走技术服务路线,回头客路线,走口碑路线。 【会所地址】东莞南城元美地铁站D出口(怡丰·阳光大厦)【👀 #图五】 【技师特色】技师妙龄,专门请人培训上岗,手法到位,不偷钟不少钟,服务体贴,待以女友式,有调情缓解,丝袜大白美腿互动挑逗,增加了诱惑和刺激,身材高挑腰部纤细,满足广大群众审美标准。 【服务态度】一房一门一床一人,安全隐私,享受一对一服务,可以根据老板…

❤7

19 Oct 2026, 10:38 UTC≈1,340 views6 reactionsread 21 October 2026
Photo

📱希儿🌐#东莞寮步包 💴【学费】600 🛫【联系】@xierdabaobei 🥂【双向】 @xierdabaobeibot 📱【频道】https://t.me/xier168168168 ❤️【硬件】女友性 ❓上榜管理 @zhanglei0880bot 🛍技术交流 https://t.me/xoxvxc

😁4❤2

29 Sept 2026, 07:06 UTC745 views3 reactionsread 30 September 2026
Photo

📱敏敏🌐#东莞虎门 💴【学费】600p 🛫【联系】@dkdicyy 🥂【双向】 @gguhddhj85bot 📱【频道】https://t.me/mmkllddd33 ❤️【硬件】36b ❓上榜管理 @zhanglei0880bot 🛍技术交流 https://t.me/xoxvxc

❤3

29 Sept 2026, 06:00 UTC721 viewsread 30 September 2026
Photo

📱红颜🌐#东莞常平 💴【学费】500p 🛫【联系】@xuexue994461 🥂【双向】 @dongguanghongya 📱【频道】https://t.me/hongyanlaoshi ❤️【硬件】36D ❓上榜管理 @zhanglei0880bot 🛍技术交流 https://t.me/xoxvxc

29 Sept 2026, 05:35 UTC≈1,230 views4 reactionsread 30 September 2026
Photo

📱雅洁🌐#东莞虎门 💴【学费】600p 🛫【联系】@Kxkkyy 🥂【双向】 @Jiiueee7455_bot 📱【频道】https://t.me/Xdgggyd883hj ❤️【硬件】36D ❓上榜管理 @zhanglei0880bot 🛍技术交流 https://t.me/xoxvxc

❤4

28 Sept 2026, 07:46 UTC≈1,350 views2 reactionsread 30 September 2026
Photo

张晓楠东城半价两名去的报名

❤2

28 Sept 2026, 07:45 UTC≈1,340 views5 reactionsread 30 September 2026
Photo

📱张晓楠🌐#东莞东城 💴【学费】5张 🛫【联系】@mm83653 🥂【双向】 @MmdeshuangBot 📱【频道】https://t.me/mm69832 ❤️【硬件】胸大,服务好,口活一绝 ❓上榜管理 @zhanglei8880 🛍技术交流 https://t.me/xoxvxc

❤5

Showing the 12 most recent of 48 posts we hold for @xcxoxv. 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 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 22 October 2026 — this entry's latest reading, not the date you are reading this.

“东莞师范大学必吃榜” (@xcxoxv), 23,577 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/xcxoxv.

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.