Telegram RegisterThe public register of Telegram
Telegram profile photo for 东莞红番区点餐频道

Channel

东莞红番区点餐频道

@dongguanyifu

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,832subscribers

-185 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002231236439
TypeChannel
Username@dongguanyifu
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live16 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/dongguanyifu

Growth

4,8325,0174,924.514 Aug 2026, 19:46 — 5,017 subscribers16 Aug 2026, 03:18 — 4,832 subscribers14 Aug 2026, 19:4616 Aug 2026, 03:18
2 measurements spanning 1 day, net -185. 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 4,804–5,045 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 03:184,832-185
14 Aug 2026, 19:465,017first reading

Engagement

6 posts held, back to 3 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.24%
avg views ÷ 4,832 subscribers
Avg views / post
302
4 posts measured
Reaction rate
0.162%
reactions ÷ views · ER floor
Posts in window
4
of 6 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 1 of 4 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 14 August 2026
Posts held6 (3 July 202614 August 2026)
Views total1,206
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:46 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
19s
Average length
10s

Measured directly from 2 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 3 of the 6 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 6 most recent posts we hold, published 3 July 2026 to 14 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

14 Aug 2026, 17:31 UTC15 viewsread 14 August 2026
Photo

惠州石湾近东莞!新店开业,独立卫浴冲凉房帮洗澡!带水床🛏️躺着水床帮洗澡 直接在水床上开启服务,刺激不可言说,欢迎品鉴 本人亲自在店接待安排!消费透明服务全程跟踪售后处理!专业靠谱! 【会所定位】主店石湾水床 #惠城 #石湾水床 ☞ 惠莞极品 94服务 性感妩媚、颜值在线 私密环境、顶级服务 本会所承诺所有技师都是经过严格筛选把关,尽其所能,让每一位客户玩的开心,玩的尽兴,玩的安全,每天百味佳丽任君挑选,全心全意打造惠莞最强大的会所 特色:全裸.任选! 争取做到你躺着一动不动,小妹妹全自动,保证让您满意,100%让你够有所值,过来提前发信息,预约时间,中午11点~凌晨6点。非诚勿扰,全新服务,大型免费停车,免费过夜。有服装要求的现场选特色服装,角色扮演,欲擒故纵小主专宠小奶狗,情趣猫女郎调教角色扮演师,扑倒征服,专治不服,手撕丝袜,亲🦶,👅足足交,刺激缸顶。 398 半裸☞熊手足任选出一次 538

10 Aug 2026, 17:25 UTC162 viewsread 14 August 2026
Photo

电报:@xiaoyanbq 频道:https://t.me/xiaoyanbao19 #大朗 ✳️ 机器人:@xiaoyanbqbot @dongguanxiuchedadui

4 Aug 2026, 19:51 UTC412 viewsread 14 August 2026
Photo

📍#东城 小甜豆 @XxiaotTianl 频道 https://t.me/rtugrs 双向 @XiIaoPbot

31 Jul 2026, 03:17 UTC617 views1 reactionsread 14 August 2026
Photo

#琳琳. #长安 P/800 PP/1400 TG:@Teng6868 频道:https://t.me/linlin_668899

1

10 Jul 2026, 09:31 UTC≈1,570 views1 reactionsread 14 August 2026
Photo

地区:#寮步 艺名:彤彤 电报 :@AG200277

1

3 Jul 2026, 03:56 UTC≈1,780 views2 reactionsread 14 August 2026
Photo

📍#东城 王子文 600P 1200Pp 联系 @WwzzweEn1 频道 https://t.me/ytytwwl 双向 @WwzZiwEbot 上榜轮播联系:@Xiaolanppbot

2

Showing the 6 most recent of 6 posts we hold for @dongguanyifu. 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 — 205,669 of 1,480,975entries 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“东莞红番区点餐频道” (@dongguanyifu), 4,832 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/dongguanyifu.

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.