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Telegram profile photo for 兔女郎的后宫

Channel

兔女郎的后宫

@tutunld

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

203subscribers

+182 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-1004491947789
TypeChannel
Username@tutunld
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 September 2026
Last confirmed live10 September 2026
Measurements held3
On Telegramt.me/tutunld

Growth

212031127 September 2026 — 21 subscribers10 September 2026 — 203 subscribers10 September 2026 — 203 subscribers7 September 202610 September 2026
3 measurements spanning 3 days, net +182. 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
10 Sept 2026, 05:22203no change
10 Sept 2026, 04:59203+182
7 Sept 2026, 06:1721first reading

Engagement

15 posts held, back to 7 September 2026the 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
213.4%
avg views ÷ 203 subscribers
Avg views / post
433
15 posts measured
Reaction rate
0.093%
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 5 of 15 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 202610 September 2026)
Views total6,498
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 05:22 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
8
Videos
4
Links
4

Lifetime counters from Telegram’s own channel header, read 10 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
14m 23s
Average length
3m 36s

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

2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
150.0%
👍150.0%

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 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 2 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

9 Sept 2026, 08:45 UTC213 views1 reactionsread 10 September 2026
Video

看着好爽有没有哥哥来这样干我

👍1

9 Sept 2026, 03:45 UTC253 viewsread 10 September 2026
Video

早上好,每天有2名惊喜名额,定金预约

8 Sept 2026, 16:14 UTC300 views1 reactionsread 10 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #汉阳 #高端 #11p #大胸 #空姐 👤 老师:兔女郎 (@xiaoke66678) 🔗 主页:https://t.me/wuhanhua1/21596?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 看到兄弟们的报告,让我好奇心拉满了,果断预约了兔女郎老师,到了老师的房间,一眼就让我沦陷了,笔直的大长腿,性感的身材,情趣衣服一穿,鸡儿立马硬邦邦,表示对美色的尊重,快速的洗澡之后,进入主题,先是传统的姿势,我在上她在下,大长腿抗在肩膀上,一下一下的插入,由浅到深,慢慢的探索骚逼的滋味,一番交战之后,来到站立式后入,那种臀部的撞击声不绝于耳,对小弟弟的刺激非常到位,一直坚挺着,持续抽插,不止腿

1

8 Sept 2026, 08:59 UTC365 views0 reactionsread 10 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #汉阳 #高端 #11p #大胸 #空姐 👤 老师:兔女郎 (@xiaoke66678) 🔗 主页:https://t.me/wuhanhua1/21596?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★☆ 4/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★☆ 4/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 已经有段时间没出击了,看到榜上新老师,还是个空姐,心动!有空了马上约时间,定金留课后出发。有点小紧张,毕竟第一次约空姐老师。课室位置安全隐蔽,进门先看脸,怕有亚洲换脸p图巫术。果然人照差距不大,眼睛马上被老师的大长腿和大D奶吸引,紧张的心情被老师的热情消去一半,交课费后洗澡。老师陪洗,过程中忍不住抱着老师就🐍吻起来,两只手抓着大奶,真爽啊!帮擦后上床,老师👄得很用心,无齿感,👄一会就受不了戴帽

7 Sept 2026, 12:28 UTC627 viewsread 10 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #汉阳 #高端 #11p #大胸 #空姐 👤 老师:兔女郎 (@xiaoke66678) 🔗 主页:https://t.me/wuhanhua1/21596?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 今天看到妹妹是才到的新人,直接约了一个,位置是在一个小区,环境不错,打开门,第一眼就看到了妹妹老师,不得不说身材真的不错,那个大长腿和胸看到就忍不住想狠狠的揉捏一番,脑子里已经脑补到接下来的画面了。迅速脱衣一起洗澡,配合的非常好。进到房间我一把抓住老师的大胸,感觉都要抓不过来,妹妹老师的服务也非常好,舌头很灵活,口得我差点缴械,立马戴上套狠狠地输出一番,这次的体验感一样好,实在是让我欲死欲仙。

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

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

“兔女郎的后宫” (@tutunld), 203 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/tutunld.

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.