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Channel

《楚汉阁全拼:@chuhange》全国外围选妃

@xier783

2 usernames

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

2subscribers

-377 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004341817817
TypeChannel
Usernames@danji6699 @xier783
Created21 June 2026measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live9 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/xier783

Growth

24222128 August 2026 — 379 subscribers9 August 2026 — 373 subscribers16 August 2026 — 408 subscribers24 August 2026 — 422 subscribers31 August 2026 — 415 subscribers7 September 2026 — 397 subscribers7 September 2026 — 397 subscribers9 September 2026 — 2 subscribers8 August 20269 September 2026
8 measurements spanning 31 days, net -377. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 01:162-395
7 Sept 2026, 20:22397no change
7 Sept 2026, 09:47397-18
31 Aug 2026, 11:17415-7
24 Aug 2026, 04:27422+14
16 Aug 2026, 20:55408+35
9 Aug 2026, 15:12373-6
8 Aug 2026, 19:31379first reading

Engagement

20 posts held, back to 21 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20457.1%
avg views ÷ 2 subscribers
Avg views / post
409
7 posts measured
Reaction rate
0.648%
reactions ÷ views · ER floor
Posts in window
7
of 20 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 7 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 7 September 2026
Posts held20 (21 June 20267 September 2026)
Views total2,864
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 20:22 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
46s
Average length
12s

Measured directly from 4 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

9 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
888.9%
👏111.1%

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 20 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 21 June 2026 to 7 September 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

7 Sept 2026, 05:15 UTC329 viewsread 7 September 2026

刚来就就收到了哥哥的好评,爱你哟。今天开始可以上课了,头课可🈷️

7 Sept 2026, 05:14 UTC329 viewsread 7 September 2026

98集团群每一份报告都来自群友,基本都带转发来源,除非群友不愿意直接转发,坚决不做收好处费假报告✊ 98群报告模板: 上课时间: 9-6 验证留名: Oera 所在位置:大朗 老师名称:曦儿 老师电报:@xier389 上课价格: 5p 妹子年龄: 24 总体评分(满分10分): 9(非常符合我个人口味啊) 容貌评分: 9 身材评分:9 服务评分:9 环境评分: 9 自由评论: 第一眼见到老师,眼前一亮,反正比较喜欢的,个人觉得本人比照片更漂亮一点。 老师迎接我,非常的热情。由于开车时间有点久,老师进门先让沙发上坐一会儿休息,还给递上水。 老师的身材没得说,双峰巨大又挺。老师比较爱聊天,从不让话掉在地上,边洗澡边跟你聊天。 洗澡过程中服务也是非常到位的,还使用了老师自己的沐浴露,特别香,好闻。 口活太好了,无任何齿感,还会有深喉,我真的有点顶不住。老师还额外送了一个服务。 后面就开始几种姿势轮番进攻,老师特别的

7 Sept 2026, 04:19 UTC288 viewsread 7 September 2026

【出击留名】:阿金长红 【出击时间】:2026年9月7日 【老师艺名】:曦儿 【联系方式】:@xier783 【开课位置】:大朗 【上课费用】:500 【颜值身材】:人照八成,人靓奶大,皮肤白净 【身高体重】:160 【老师类型】:#嫩妹 【服务种类】:背部服务、洗吹做 、调情、可接受69舌吻,更多服务等待兄弟开发 【情绪态度】:人靓热情,服务赞,耐心好,好聊,爽快,情商高,底子不错 报告仅供参考,请理性选择

6 Sept 2026, 05:36 UTC529 viewsread 7 September 2026

首课,预约。刚来东莞,首先谢谢大家照顾哟,各位临时老公们😘😘😘

4 Sept 2026, 11:11 UTC617 views4 reactionsread 7 September 2026

💕艺名 曦儿(新人) 💕身高 163 💕年龄 24 💕体重 48kg 💕胸 36C 1p 500(40分钟) 2pp 900(80分钟) 夜2600(8小时) 💕💕💕💕 💕💕💕💕 💕 进入我的课室让哥哥眼前一亮哦 自带温馨课室进出方便停车 💕💕💕💕💕💕💕💕💕 👄👄👄👄👄👄👄👄👄 真实服务项目:🐍吻(口臭不🐍)口吹 胸推 环游 调情 69 胸推 kiss 过水 指尖漫游 爱爱 大数据时代,尽量自备现金 💕💕💕💕💕💕💕 💕💕 禁嗑药 禁后 禁无帽 禁醉酒 仅胸部有很小的纹身 私信 @xier389 双向 @danji69bot 频道 @xier783

3👏1

7 Aug 2026, 04:19 UTC284 viewsread 8 August 2026
Photo

宝子们,休息了一个星期,今天开课了,过来提前预约哦

28 Jul 2026, 09:38 UTC916 viewsread 8 August 2026
Photo

大朗小妲己个人活动 100通用卷 7/29号过期 私聊: @danji68

Showing the 12 most recent of 20 posts we hold for @xier783. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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

“《楚汉阁全拼:@chuhange》全国外围选妃” (@xier783), 2 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/xier783.

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.