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Channel

惠州☞东莞.桑拿&猎艳阁(近东莞,近增城)

@YiDaiJia

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

14,605subscribers

+3,115 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1002610643315
TypeChannel
Username@YiDaiJia
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live7 September 2026
Measurements held22
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/YiDaiJia

Growth

11,49014,60513,047.514 August 2026 — 11,490 subscribers14 August 2026 — 11,490 subscribers15 August 2026 — 11,580 subscribers16 August 2026 — 11,790 subscribers17 August 2026 — 11,890 subscribers18 August 2026 — 12,003 subscribers19 August 2026 — 12,099 subscribers20 August 2026 — 12,211 subscribers22 August 2026 — 12,397 subscribers24 August 2026 — 12,553 subscribers25 August 2026 — 12,661 subscribers26 August 2026 — 13,009 subscribers27 August 2026 — 13,523 subscribers28 August 2026 — 13,632 subscribers29 August 2026 — 13,837 subscribers30 August 2026 — 14,016 subscribers31 August 2026 — 14,221 subscribers1 September 2026 — 14,297 subscribers2 September 2026 — 14,353 subscribers3 September 2026 — 14,183 subscribers4 September 2026 — 14,217 subscribers7 September 2026 — 14,605 subscribers14 August 20267 September 2026
22 measurements spanning 24 days, net +3,115. 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 11,023–15,072 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
7 Sept 2026, 23:0014,605+388
4 Sept 2026, 23:3914,217+34
3 Sept 2026, 07:0514,183-170
2 Sept 2026, 03:2714,353+56
1 Sept 2026, 06:1214,297+76
31 Aug 2026, 05:4314,221+205
30 Aug 2026, 03:0514,016+179
29 Aug 2026, 01:0313,837+205
28 Aug 2026, 00:5813,632+109
27 Aug 2026, 01:1413,523+514
26 Aug 2026, 03:1313,009+348
25 Aug 2026, 04:1412,661+108
24 Aug 2026, 03:1212,553+156
22 Aug 2026, 10:0412,397+186
20 Aug 2026, 21:1612,211+112
19 Aug 2026, 23:2212,099+96
18 Aug 2026, 20:3312,003+113
17 Aug 2026, 19:3511,890+100
16 Aug 2026, 19:2311,790+210
15 Aug 2026, 07:5911,580first reading

Engagement

26 posts held, back to 30 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.0%
avg views ÷ 14,605 subscribers
Avg views / post
1,900
18 posts measured
Reaction rate
0.034%
reactions ÷ views · ER floor
Posts in window
18
of 26 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 8 of 18 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 30 August 2026
Posts held26 (30 July 202630 August 2026)
Views total34,127
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:38 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
32s
Average length
6s

Measured directly from 5 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

8 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8100.0%

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 11 of the 26 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 30 July 2026 to 30 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

30 Aug 2026, 17:42 UTC617 views1 reactionsread 2 September 2026
Photo

#石湾会所 #东莞 #惠州会所 #南城水疗 灯一关,空气就暧昧起来 您只需坐着,硬着,什么都不用做 我们用唇舌缠绕,用柔软的胸部挤压,用温热的下面缓慢磨蹭一点点把你精神体验拉伸让你腰眼发麻,声音发颤,彻底失控 不玩矜持,不讲规矩,只给你最直接,最原始,最想要的那种快感 今晚 石湾四T会所只服务真正懂享受的人。来,把理智交出来 唯一客服经理: @Amen393

1

30 Aug 2026, 03:42 UTC≈1,310 viewsread 2 September 2026
Photo

节假日双店运营,各有特色,避免排队 1️⃣家凯文独立冲凉房,洗澡女孩子帮冲凉,6套衣服,便装可以自己更换 1️⃣家丽湾.会所 品牌老店 兄弟们,大把红牌独立冲凉房,老店特色口碑双特色双管运营 欢迎广大客前来视察工作,除了好还是好 凡是有投诉,有什么意见的都可以提供哈,投诉马上处理 精品客服: @Amen393

27 Aug 2026, 18:47 UTC≈1,090 views1 reactionsread 2 September 2026
Photo

兄弟们,老店丽湾这里不需要其他的任何的评价 总体服务素质各方面都属于非常优质的 凡是东莞,惠州的客户都可以选择来这里体验一下作为行业的风向网红打卡点 除了好,还是好 欢迎过来体验 惠莞优质门店客服: @Amen393

1

25 Aug 2026, 19:04 UTC≈1,320 viewsread 2 September 2026
Photo

惠城店全裸九四服务好评 4T甄选 服务态度,环境都可以,然后是独立冲凉房,在惠城的客户可以出击 唯一咨询客服: @Amen393

22 Aug 2026, 18:06 UTC≈1,990 viewsread 2 September 2026
Photo

老店丽湾11号/6号 ——双飞搭子 玩爽了 就行 😄 双飞一皇两妃🉐 这种左拥右抱的感觉胜似人间无数 唯一客服经理: @Amen393

22 Aug 2026, 04:31 UTC≈1,880 viewsread 2 September 2026
Photo

您的小可爱放假模式已启动 现在起可预约一起玩耍 唯一客服经理: @Amen393

22 Aug 2026, 04:22 UTC≈2,360 views2 reactionsread 2 September 2026
Photo

#石湾会所 #东莞全区 #石湾水床 #全裸 #惠州全区 #会所 性福生活马上开始了,全裸海选水床九四老师——专做服务为主,制服黑丝,现场任意挑选 不仅可以摸,还可以亲奶子,舔鲍鱼,享受舌尖上的快感 唯一客服经理: @Amen393

2

19 Aug 2026, 15:50 UTC≈2,520 viewsread 2 September 2026
Photo

丽湾老店11 :推荐的不错 两个奶子 背上划 很有感觉 好摸的很 上下齐手 玩不过来。水漫多的。毛毛飘来飘去很爽 总体来说 值得推荐☺️ 唯一客服经理: @Amen393

19 Aug 2026, 14:21 UTC≈2,070 views0 reactionsread 2 September 2026
Photo

新店凯文66-688好评服务特色拉满 ✔六套服饰变装拉满 ✔独立冲凉房帮洗澡,私密性拉满 ✔水床特色服务,夏日凉凉 唯有一夏 唯一客服经理: @Amen393

19 Aug 2026, 13:09 UTC≈2,080 viewsread 2 September 2026
Photo

新店凯文服务特色拉满 ✔六套服饰变装拉满 ✔独立冲凉房帮洗澡,私密性拉满 ✔水床特色服务,夏日凉凉 唯有一夏 唯一客服经理: @Amen393

19 Aug 2026, 13:07 UTC≈1,810 viewsread 2 September 2026
Photo

老店丽湾11-28双飞好评 服务非常好,态度非常好,值得体验两个小姐姐流程细致耐心,一对大奶子,迷死个人 只能用一句话评价配合度拉满 唯一客服经理: @Amen393

17 Aug 2026, 14:14 UTC≈2,110 viewsread 29 August 2026
Photo

丽湾老店双飞好评89-22技师 大盘逼逼水哗啦啦流,不停大河东流水 酥酥麻麻,瞬间枪角非常的不错,服务真心好 客服: @Amen393

Showing the 12 most recent of 26 posts we hold for @YiDaiJia. 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 3 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.

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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“惠州☞东莞.桑拿&猎艳阁(近东莞,近增城)” (@YiDaiJia), 14,605 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/YiDaiJia.

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.