Telegram RegisterThe public register of Telegram

Channel

萧薰儿的圈(开课🀄️

@xiaox1890

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

2,378subscribers

+144 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002614997626
TypeChannel
Username@xiaox1890
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/xiaox1890

Growth

2,2342,3782,3066 August 2026 — 2,234 subscribers7 August 2026 — 2,266 subscribers10 August 2026 — 2,378 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +144. 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 2,212–2,400 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:272,378+112
7 Aug 2026, 13:402,266+32
6 Aug 2026, 20:162,234first reading

Engagement

18 posts held, back to 20 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
33.8%
avg views ÷ 2,378 subscribers
Avg views / post
803
14 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 5 of 14 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 August 2026
Posts held18 (20 July 20267 August 2026)
Views total11,238
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:51 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
11s
Average length
11s

Measured directly from 1 video 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 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 5 of the 18 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 20 July 2026 to 7 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

6 Aug 2026, 07:28 UTC608 viewsread 7 August 2026

【出击报告】 位置坐标: #深圳 福田 验证留名: #特工1号 上课时间: 8月5日 老师花名: #萧薰儿 联系方式: @midou8887 上课花费: 1500 老师质量: 颜值很绝,服务态度好,有耐心,不敷衍 服务内容: 基本都有 上课过程:老师颜值高,身材较瘦小,配合度高,不催钟,人照一致,比照片还好看。中途渴了还点奶茶给我喝,会回食 推荐程度:极度推荐 没有群主只有玩家,纯分享纯交流群 ( 老友会导航: @szxglyh ) 报告提交群秘书: @szxglyhkfbot 报告来源: A (A:学生自主提交、B:老师从学生转发、C:老师自主提交)

6 Aug 2026, 05:38 UTC637 viewsread 7 August 2026
Photo

🎁 群抽奖|福田萧薰儿 | 半价活动 奖品(共 1 位): 🎟️ 半价·P × 1 开奖:8月12日 12:00 自动开奖 需关注 / 加入: · 加入 萧薰儿的圈(开课🀄️ · 加入 隔壁老王的回忆录 条件:需群内发言满 5 条 — 点此进群发言 🎫 多做任务,多拿中奖机会:参与就有 1 次机会,机会越多越容易中(像多买几张彩票)。免费加机会 — 签到 +1、写报告 +3/篇、拉新朋友来 +2/人、群里发言每 10 条 +1、花 100 积分 +1。参与后点下方「我的中奖机会」看你有几次。 点「立即参与」领个抽奖号,中奖机器人直接私信你。首次参与需先打开过一次小螃蟹小程序。

6 Aug 2026, 05:12 UTCviews —

萧薰儿的圈(开课🀄️ pinned «那就抽10个白嫖 转发此条消息的老师,找我领一个月推广. @lwhko 抽奖链接 : https://t.me/lwgeo/862»

6 Aug 2026, 05:12 UTC373 viewsread 7 August 2026

那就抽10个白嫖 转发此条消息的老师,找我领一个月推广. @lwhko 抽奖链接 : https://t.me/lwgeo/862

5 Aug 2026, 12:15 UTC638 viewsread 7 August 2026
Photo

❤️ #福田 #萧薰儿 【深圳学院】: @sz520 @sz1314 【出击日期】: 8月5日 【报告来源】: #Rain 【体验细节】:⬇️ 刚靠近房门,咔嚓一声就开了,那流畅的无缝衔接反而让我愣了半秒。 我快走两步,一个侧身钻了进去。 映入眼帘的是一个穿着黑色宽松卫衣的小个子女生。 第一眼看去,她本人和频道照片有八分像,气质却更生动。 微染的黑黄头发细密柔软,偏瓜子脸,下巴线条柔和。 简单妆容下,大眼睛、双眼皮、长睫毛,鼻子小巧挺直,嘴唇薄而自然。 组合在一起,透着一种凌厉冷艳的美。 可当她自然亲和地一笑,又仿佛能瞬间融化冰川。 在某些角度下,她不经意的一瞥,竟让我怦然心动。 私聊时已经预热充分,现场完全不冷场。 愉快地聊了一会儿,我们便脱衣冲凉。 褪去衣衫的她,肤色是自然的黄皮,身材线条优美。 锁骨清晰,胸部目测A杯,两点淡粉。 腰肢纤细,小腹平坦,马甲线若隐若现。 一双筷子腿格外显眼,摸上去却意外有肉。 最让我意外的是,

5 Aug 2026, 11:02 UTC510 views1 reactionsread 7 August 2026
Forwarded from @mengzhongdetaPhoto

回忆录第六十七章:素颜战士闪亮登场 #回忆录 八月的记忆碎片 老师:萧薰儿 @midou8887 #福田 炮语录: 【我们只是这个巨大牢笼中的两个陌生人,彼此接触的时间就像是进了摩天轮,带着兴奋愉悦的心情尽情的去沉沦, 下次如果还有机会,我一定会再为你转身】 简报快速版: ⭕️ 素颜抗打人照10分,所见即所得,吊感好性格随和,口活技术可 ❌抽烟,小胸,无舌吻无69 出击评价:“人上人” 经历了共同上楼,房锁异常,花洒喷水漏水的突发事件,与薰儿的做爱过程反而显得记忆没那么深刻,素颜加磨皮几乎跟频道完全一致的长相属实让人震惊,是路边看见直接一眼能认出的级别,口活有技术,相处过程愉快,魔幻的过程激发了写文的灵感 出击篇: 睡衣素颜除了脸上有些许痘印,底子是真的不错,与频道相比人照可以给到10分,是人群中看一眼直接能认出的级别,修长的纤细身材,鼻子挺拔瞳孔有神,小穴有经过处理阴唇比较厚实,美中不足的依旧

1

4 Aug 2026, 12:05 UTC921 views3 reactionsread 7 August 2026
Photo

群友出击笔记模板 ( 出击笔记: t.me/szxglyhglBot?start=-1002506803286 ) 位置坐标: #深圳 #福田 验证留名: #ddddd #id541460446* 上课时间: 2026/08/04 老师花名: #萧熏儿 联系方式: (填写老师用户名 @midou8887) 上课花费: 800 老师质量: 顶级只能说,一开始看到这个价格还以为又是照骗,不放心所以还问老师人照不一退不退定金,老师爽快答应了。见面后才知道不上镜不是一句谎言,是真的有老师能比频道里的照片还要漂亮,邻家少女的感觉。服务态度挺好的,就是位置有点难找,提前问好具体的楼座比较好。女上顶级,第一个女上快把我搞出来的老师,没有蛇有点可惜。皮肤白,年龄挺小的,是嫩妹,胸有点小,但也够用,不是平胸的那种。 ( PS: 从服务态度、服务技能、皮肤、年龄、胸大小、身高、腿长、下面粉/黑、 屌感、情绪价

3

Showing the 12 most recent of 18 posts we hold for @xiaox1890. 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 — 715,250 of 1,160,990entries 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.

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 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“萧薰儿的圈(开课🀄️” (@xiaox1890), 2,378 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/xiaox1890.

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.