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Channel

天河小仙女秘密花园

@xxn199

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

1,336subscribers

+0 since we began measuring on 26 September 2026

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

Register entry

Telegram ID-1003865653779
TypeChannel
Username@xxn199
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 September 2026
Last confirmed live26 September 2026
Measurements held2
On Telegramt.me/xxn199

Growth

1,33626 Sept 2026, 11:47 — 1,336 subscribers26 Sept 2026, 12:22 — 1,336 subscribers26 Sept 2026, 11:4726 Sept 2026, 12:22
2 measurements taken within a single day. 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 1,335–1,337 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 12:221,336no change
26 Sept 2026, 11:471,336first reading

Engagement

13 posts held, back to 21 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
19.1%
avg views ÷ 1,336 subscribers
Avg views / post
255
13 posts measured
Reaction rate
0.605%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 13 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 26 September 2026
Posts held13 (21 September 2026 – 26 September 2026)
Views total3,321
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 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

Photos
255
Videos
39
Links
46

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
10s
Average length
5s

Measured directly from 2 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

4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤375.0%
💩125.0%

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 3 of the 13 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 21 September 2026 to 26 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

26 Sept 2026, 11:01 UTC53 viewsread 26 September 2026
Photo

🎉 广州茶馆-小仙女半价券 🎁 奖品清单 • p半价券(必须写报告) × 1 🛡️ 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 天河小仙女秘密花园 • 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 • 2026-09-30 22:59:00 📜 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现金红包🧧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。

26 Sept 2026, 08:56 UTC86 views1 reactionsread 26 September 2026
Forwarded from @gzcgbg

【广州茶馆】:https://t.me/gzcg9 【时间】:2026-09-26 【老师】:小仙女 【账号】:@xnn1881 【留名】:铁观音 【颜值】:漂亮 【身材】:身材很好 高颜值 【罩杯】:D 【服务】:服务很好 【态度】:温柔大方 【位置】:猎德 【评分】:10 【过程】:非常棒的一次出击,值得无限回锅!心心念念了许久,今天终于约上了小仙女老师,是自己的地方,布置的挺温馨的,比较安全,一进门看到老师真漂亮,和照片无差别,老师还贴心的倒了杯水,然后洗澡鸳鸯戏水,洗澡一直夸夸,情绪直接拉满。完后仔细的为我擦干,然后进房间体验服务,环境十分干净温馨,氛围灯效果不错,服务菜单挨个做了一遍,很会夹,下面很紧,后入体验十分棒,第一火被123了😂,服务这么棒,娇声不断,这只要硬起来了,不出货不可能软下去。最后我看着她的奶狂晃的干,老师服务太好,顶配了极品中的极品,配合度高,喜欢服务系的兄弟可以试试真不错的哦!互动度高,情绪价值满

💩1

26 Sept 2026, 07:37 UTC60 viewsread 26 September 2026
Photo

✅昵称:#小仙女 📍地区:#天河 😘水费:#1000p ✈️电报: @xnn1881 📣标签: #嫩妹 舌吻六九 ☎️预约上课

23 Sept 2026, 05:18 UTC272 viewsread 26 September 2026
Forwarded from @gzchaguan8Photo

📏身高:173 ⚖️重: 👙杯:D ✅艺名:#小仙女 💰价格:#1000p #1600pp ✈️联系:@xnn1881 💎标签:#嫩妹 #舌吻 #巨乳 #大长腿 📍地区:#天河

Showing the 12 most recent of 13 posts we hold for @xxn199. 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“天河小仙女秘密花园” (@xxn199), 1,336 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/xxn199.

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.