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Channel

护士萱萱的小窝

@xuanxuandexiaow

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

219subscribers

+153 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1004295490478
TypeChannel
Username@xuanxuandexiaow
Created7 September 2026 — measured — dated from the channel’s first post
First recorded10 September 2026
Last confirmed live19 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/xuanxuandexiaow

Growth

665322997 September 2026 — 66 subscribers10 September 2026 — 532 subscribers10 September 2026 — 532 subscribers19 September 2026 — 219 subscribers2197 September 202619 September 2026
4 measurements spanning 11 days, net +153. 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
19 Sept 2026, 04:20219-313
10 Sept 2026, 12:22532no change
10 Sept 2026, 12:00532+466
7 Sept 2026, 18:4766first reading

Engagement

15 posts held, back to 7 September 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
98.5%
avg views ÷ 219 subscribers
Avg views / post
216
12 posts measured
Reaction rate
0.427%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 3 of 12 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 10 September 2026
Posts held15 (7 September 2026 – 10 September 2026)
Views total2,588
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 12:22 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
16s
Average length
5s

Measured directly from 3 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

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤266.7%
👍133.3%

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 15 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 7 September 2026 to 10 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

8 Sept 2026, 15:44 UTC183 viewsread 10 September 2026
Forwarded from @gzcgbg

【广州茶馆】:https://t.me/gzcg9 【时间】:2026-09-08 【老师】:萱萱 【账号】:@hushixuanxuan 【留名】:Y 【颜值】:跟照片一致 【身材】:挺苗条的 【罩杯】:一个手刚刚好 【服务】:贴心周到帮忙洗澡口活一流不催不事 【态度】:性格开朗 温柔体贴 【位置】:天河猎德租的科室,干净整洁 【评分】:10 【过程】:地铁过去的,到楼下老师遥控上楼,地点准确很方便就到位了,先坐了一会聊了会天,然后就洗澡老师帮忙洗的,老师口技一流先是舔胸一路往下舔的我不要不要的爽飞了,然后戴套老师先在上面的,老师动了三四分钟体力还是没的说,然后换我来后入,今天状态好桩了好久老师也没催,后面传教士顺利出水,躺了一会跟老师一起洗澡,洗完澡老师也不催一起坐着聊了一会。

8 Sept 2026, 10:09 UTC234 views1 reactionsread 10 September 2026
Photo

🎉 天河 萱萱的优惠福利 📝 抽奖说明:优惠券免定,中奖主动联系老师 @hushixuanxuan ,开奖后五天有效,必须写报告,逾期回收至兑换区。 ✅ 参与条件: 1. 加入 护士萱萱的小窝 2. 加入 广州凤吟修车茶馆 3. 加入 广州凤吟修车娱乐资源 4. 加入 广州凤吟修车茶馆备用群 5. 加入 广州凤吟修车娱乐资源私密1 6. 加入 免费抽奖导航 🎁 奖品内容: • 1p半价券 × 1 • 200优惠券 × 5 • 100优惠券 × 10 ⏰ 开奖时间:2026-09-12 20:00 👇 点击下方按钮参与抽奖

❤1

8 Sept 2026, 07:13 UTC220 viewsread 10 September 2026

https://t.me/GZFYJT 萱萱 已在凤吟视频验证上榜人照一致,可放心出击 点击下方连接可一键验证 https://t.me/GZFYLB/3163

7 Sept 2026, 16:15 UTC312 views1 reactionsread 10 September 2026
Photo

🎉 广州茶馆-萱萱半价券 🎁 奖品清单 • p半价券(必须写报告) × 1 • p优惠券100 × 20 • pp优惠券200 × 10 🛡️ 参与条件 • 加入 广州茶馆 • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆老师榜【备胎】 • 加入 广州茶馆-在榜老师(新榜) • 加入 护士萱萱的小窝 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3圣晶石 • 祝福上限:1000次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-12 20:14:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金和巨量圣晶石!!! ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

❤1

7 Sept 2026, 14:19 UTC305 viewsread 10 September 2026
Photo

🎟️ 抽奖标题:广州萱萱老师半价活动 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系老师:@hushixuanxuan 🎫 参与条件: 🎫 加入-护士萱萱的小窝 🎫 加入-广州男人天堂资源榜 🎫 加入-广州男人天堂 🎁 奖品内容: 💰️ 2p优惠券200 × 10 💰️ 1p优惠券100 × 20 💰️ 半价优惠券 × 1 📅 开奖时间:2026-09-10 22:20自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178879057105

7 Sept 2026, 13:55 UTC273 viewsread 10 September 2026
Video

真实护士兼职 有没有哥哥想让我给你打针的

Showing the 12 most recent of 15 posts we hold for @xuanxuandexiaow. 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.

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

“护士萱萱的小窝” (@xuanxuandexiaow), 219 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/xuanxuandexiaow.

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.