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Channel

💞纯欲小圆 萧山开课中💞

@xiaoyuan8756

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

8,518subscribers

+1,586 since we began measuring on 22 October 2026

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

Register entry

Telegram ID-1003746287015
TypeChannel
Username@xiaoyuan8756
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 October 2026
Last confirmed live23 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/xiaoyuan8756

Growth

6,9328,5187,72522 Oct 2026, 14:22 — 6,932 subscribers23 Oct 2026, 03:08 — 8,518 subscribers22 Oct 2026, 14:2223 Oct 2026, 03:08
2 measurements taken within a single day, net +1,586. 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 6,694–8,756 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Oct 2026, 03:088,518+1,586
22 Oct 2026, 14:226,932first reading

Engagement

20 posts held, back to 27 August 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.1%
avg views ÷ 8,518 subscribers
Avg views / post
1,370
11 posts measured
Reaction rate
0.146%
reactions ÷ views · ER floor
Posts in window
11
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 5 of 11 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 22 October 2026
Posts held20 (27 August 2026 – 22 October 2026)
Views total15,048
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 14:22 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.

Reaction mix

24 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1250.0%
😭729.2%
🥰520.8%

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 10 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 24 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 27 August 2026 to 22 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, 09:23 UTC860 views1 reactionsread 22 October 2026
Forwarded from @yigeyanxuan001

杭州一哥课堂:https://t.me/yigechat 【老师花名】: #小圆 【老师 I D】: @xiaoyuan668 【验证留名】: #bk 【出击时间】: 10.21 【课室位置】: #萧山 【喝茶费用】: 1000p 【高端服务】: 有的打 ✅ 没有打 ❎ 舌吻 ✅ 69 ✅ 毒龙 情绪价值 【身材尺寸】:163 b 【湿度紧度】:温暖 湿润 【个人卫生】:不抽烟,无纹身 【时间管理】:宽容,不催人 【推荐程度】:9.5 【报告正文】: #课室环境 非常温馨,有情趣,床稍微有点小,其他无可挑剔 ----------------- #人之初印象 见面披着蕾丝睡衣,性感白嫩的双兔诱人至极,我直接就扑上去亲了起来,从上亲到下,边亲边脱,真正的精虫上脑邦邦硬,很久没有这种激情的感觉了 ----------------- #服务环节 从进门到洗澡最后到床上,我们不停的舌吻,口交,完全停不下来,69…

❤1

21 Oct 2026, 06:37 UTC878 views1 reactionsread 22 October 2026
Photo

🎰 Mi家金秋杭州优秀老师团系列限时抽奖活动 📮 参与条件: 🪪 必须设置用户名 🎫 加入-Mi家甄选(上海、杭州) 🎫 加入-💞纯欲小圆 萧山开课中💞 🎫 加入-甜笑笑的美照 🎫 加入-Mi哥大讲堂(杭州、上海) 🎁 奖品内容: 💰️ 小圆老师500红包🧧(或500优惠券) × 1 💰️ 甜笑笑老师500红包🧧(或500优惠券) × 1 ⚠️ 抽奖说明: 甜笑笑老师奖品中奖者凭中奖记录联系 @xiaoxiaowoya 兑换;小圆老师奖品中奖者凭中奖记录联系 @xiaoyuan97 兑换。中奖者需及时兑换中奖商品,有效期为:自开奖时间三天内,逾期未兑换者中奖信息失效,感谢谅解!在此一并感谢两位老师的支持与回馈狼友们! 📅 开奖日期:(北京时间) 2026年10月28日 13时16分00秒

❤1

20 Oct 2026, 12:44 UTC≈1,030 viewsread 22 October 2026
Forwarded from @yigeyanxuan001

杭州一哥课堂:https://t.me/yigechat 【老师花名】: #小圆 【老师 I D】: @xiaoyuan668 【验证留名】: #cc 【出击时间】: 10.20 【课室位置】: #萧山 【喝茶费用】: 1000p 【高端服务】: 有的打 ✅ 没有打 ❎ 舌吻 ✅ 69 毒龙 情绪价值 【身材尺寸】:身高 体重 罩杯 【湿度紧度】:很润很紧 【个人卫生】:无 【时间管理】:安排合理无催钟 【推荐程度】:10 分 【报告正文】: #课室环境 萧山小区,进出自由门卫不管,科室干净整洁 #人之初印象 很漂亮,身材夯,真空穿着睡衣来开门,打开门先探出来小脸,大眼睛盯着你看,初见好感就拉满 #服务环节 服务细致到位 因为天热,进课室先坐沙发上休息,给了水,然后就开始亲亲抱抱贴贴,也不着急让你去洗澡,女友感拉满,因为我一开始有点事情在忙,也不会打扰你,也不在一边自己玩手机而是会贴着你,一顿亲热后去洗澡,…

17 Oct 2026, 01:50 UTC≈2,130 views2 reactionsread 22 October 2026

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#小圆 【老师 I D :】@xiaoyuan668 【出击时间】9月x日 【大概位置】萧山建设一路 【狼友账号】herbert 【开课价格】1000p 【老师类型】甜妹 【大概年龄】23 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 9 分 身材 9 分 胸型 9 分 户型 9 分 水量紧度 9.5 分 硬件评分:45.5 软件: 服务态度 10 分 服务技巧 9.5 分 屌感 9 分 啪啪反馈 10 分 突出技巧 9 分 软件评分:47.5 综合评分:93 软件硬化工程施工过程: (写出精彩过程,为您的出击做个回忆录) 春宵一入纱帐暖 嫩妹和服推倒身 无裤娇穴镜中影 唇舌相缠欲火焚 初见小圆,杭州的闷热已经过去,可进门小圆的真空睡衣装扮一下子让我欲火焚身,…

❤2

16 Oct 2026, 15:02 UTC≈1,730 viewsread 22 October 2026

【推荐程度】: 超级好评✅ 【评分标准】:10 【妹子花名】:小圆 【联系方式】@xiaoyuan668 【妹子年龄】:20左右 【验证留名】:PS 【验证时间】:1016 【大概位置】:萧山 【修车水费】:1000p 【服务内容】:有的打✅ ① 陪浴 ✅ ② 舌吻 ✅ ③ 69舔逼 ✅ ④ 情绪价值 ✅ 【人照相似】:9成 【身材皮肤】:身高163,非常喜欢的身材 【凶器罩杯】:胸c,手感很好 【户型湿紧】:户型很紧,水量超多 【课室环境】:高端小区 【个人卫生】:有漱口水 浴巾,事前事后有清洗,有水中萧,事后萧 【时间管理】:排课宽松 【服务总结】:课表服务无少作,服务到位,过程无机车 【过程描述】:等了一个多月,小圆终于开课了。太难了,等得难受😭。最早也是看超级好评很多,来了一次之后就爱上了。完全陷入小圆的沉浸式课程无法自拔。这次一开…

16 Oct 2026, 15:01 UTC≈1,650 views2 reactionsread 22 October 2026

【推荐程度】: 超级好评✅ 【评分标准】:10 【妹子花名】:小圆 【联系方式】@xiaoyuan668 【妹子年龄】:20左右 【验证留名】:小鱼 【验证时间】:10 月 16 日 【大概位置】:萧山 【修车水费】:1000p 【服务内容】:有的打✅ ① 陪浴 ✅ ② 舌吻 ✅ ③ 69舔逼 ✅ ④ 情绪价值 ✅ 【人照相似】:9成 【身材皮肤】:身高163,无纹身,果冻白,非常喜欢的身材 【凶器罩杯】:胸c,手感好 【户型湿紧】:户型很紧,水量超多 【课室环境】:高端小区 【个人卫生】:有漱口水 浴巾,事前事后有清洗,有水中萧,事后萧 【时间管理】:排课宽松 【服务总结】:课表服务无少做,服务到位,过程无机车 【过程描述】:早就听闻小圆老师,今天下班后来体验传说中的幻神。我承认,今天小圆老师就是我的乖巧女友。她美得长在我的心上,又可爱…

❤2

15 Oct 2026, 12:56 UTC≈2,020 views5 reactionsread 22 October 2026

明天开课啦 小圆圆想死宝宝们了 你们有没有想我鸭😘

🥰5

11 Sept 2026, 06:18 UTC≈4,980 views7 reactionsread 22 October 2026

宝宝们。这个月家里事情多要回家下个月开课哈👻

😭7

Showing the 12 most recent of 20 posts we hold for @xiaoyuan8756. 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 2 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.

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“💞纯欲小圆 萧山开课中💞” (@xiaoyuan8756), 8,518 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/xiaoyuan8756.

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.