Telegram RegisterThe public register of Telegram

Channel

顺子的小屋🏠

@aabb117712

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

1,452subscribers

+60 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003186797418
TypeChannel
Username@aabb117712
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/aabb117712

Growth

1,3921,4521,4227 August 2026 — 1,392 subscribers7 August 2026 — 1,392 subscribers8 August 2026 — 1,399 subscribers11 August 2026 — 1,427 subscribers14 August 2026 — 1,452 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +60. 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 1,383–1,461 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:281,452+25
11 Aug 2026, 12:431,427+28
8 Aug 2026, 13:481,399+7
7 Aug 2026, 22:171,392no change
7 Aug 2026, 18:021,392first reading

Engagement

20 posts held, back to 7 June 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
65.5%
avg views ÷ 1,452 subscribers
Avg views / post
951
6 posts measured
Reaction rate
0.045%
reactions ÷ views · ER floor
Posts in window
6
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 4 of 6 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 held20 (7 June 20267 August 2026)
Views total5,708
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:17 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

15 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1493.3%
👍16.67%

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 14 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 15reactions 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 7 June 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

7 Aug 2026, 04:46 UTC240 viewsread 7 August 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #5p #9pp #御姐 #欢乐大道 👤 老师:顺子 (@yr0704) 🔗 主页:https://t.me/wuhanhua1/17964 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 气质御姐身材非常好,目测身高1.68,前凸后翘 ,环境优雅,服务热情,性价比高,顺子很不错!👍 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-06 22:22 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlchattbot

6 Aug 2026, 07:20 UTC406 views0 reactionsread 7 August 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #5p #9pp #御姐 #欢乐大道 👤 老师:顺子 (@yr0704) 🔗 主页:https://t.me/wuhanhua1/17964 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 气质御姐身材比例非常好 ,环境优雅,服务热情,性价比高!顺子非常好!值得冲… ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-06 14:17 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlchattbot

3 Aug 2026, 11:46 UTC893 views0 reactionsread 7 August 2026
Forwarded from @whlou4

【验证留名】可匿名不写 【验证时间】2026 年 8 月 3日 【老师花名】顺子 @yr0704 【卫生环境】整洁温馨 【所在位置】大体地址 【修车水费】5p 【服务内容】例子: 鸳鸯浴,水中萧,情趣调情,69,🐍,各种姿势,课表内容都有) 【服务过程】好久没约顺子老师了,今天终于约上 ,遥控上门,顺子还是热情,大方的拉着我来到沙发上,开启今天的快乐之行。顺子身材非常好,很高,皮肤细腻,我手急切拉开顺子薄薄的睡裙,露出丰满的大奶子,粉色的乳头,我俯身吸着他们,舌头👅绕着乳晕打转,顺子身体微微打颤,呻吟声,手指探向下体,。那里早已湿漉漉,顺子翘着屁股,让我俯身给他舔舔,边舔边喊着舒服,骚气的叫声让我把持不住,我要脱光裤子,顺子含着我的大肉棒,舌头细腻,让我欲罢不能,带上伞,我迫不及待的插进骚穴,好紧,不停来回输出,顺子翘着屁股,我从后面插入,超级刺激,顺子不停喊哥哥,要嘛要嘛!坚持不了一会,我就交货了,好爽,心情也瞬间舒畅!休息啦

18 Jul 2026, 10:08 UTC≈1,750 views0 reactionsread 7 August 2026
Photo

宝宝们休息一礼拜喔!❤️❤️❤️么么哒💋

12 Jul 2026, 15:01 UTC≈2,040 views3 reactionsread 7 August 2026
Forwarded from @whlou4

【验证留名】可匿名不写 【验证时间】2026年 7 月 12日 【老师花名】顺子 【联系方式】https://t.me/wuhanhua1/12626 【卫生环境】干净整洁温馨 【所在位置】小区里 【修车水费】5p 【服务内容】例子: 鸳鸯浴,水中萧,情趣调情,69,🐍,各种姿势,课表内容都有) 【服务过程】第五次来顺子家,总是一种回家的感觉,见面就很轻松,舒坦,交完水费,一起洗澡,有说有笑,很开心,今天我们的话题就是聊世界杯,哈哈!边洗边聊,洗完澡来到房间,顺子给我换了一套新买的连体黑丝,超级性感,眼前一亮,顺子开始亲吻我每寸肌肤,慢慢的从上往下,性感的嘴唇喊着我的大肉棒,舌头包裹的好紧,我兴奋的要求开始,带上伞我开始从后入,顺子性感的大肥臀,翘着老高,我不停的输出,兴奋的让我把持不住,顺子不停的喊老公,要,我被骚气的叫声兴奋的交货了…每次都是一种很兴奋,激情的感觉!很喜欢顺子…性格,身材非常吸引我!聊了一会儿天,依依不舍离开

3

3 Jul 2026, 05:21 UTC≈2,130 views1 reactionsread 7 August 2026
Forwarded from @wuhanhua2

【验证留名】可匿名不写 【验证时间】2026年 7月 3日 【老师花名】顺子 【联系方式 https://t.me/wuhanhua1/12626 【卫生环境】非常整洁温馨 【所在位置】小区里 【修车水费】5p 【服务内容】例子: 鸳鸯浴,水中萧,情趣调情,69,🐍,各种姿势,课表内容都有) 【服务过程】看过顺子不少评论,一直想来,终于约上了,一进门那种感觉,知道自己没来错,屋里充满生机,满屋花,入门顺子老师非常热情,笑起来让人很开心,交了水费,拉着我的手一起洗澡,顺子老师身材非常好 白白的大奶子映入眼帘,腰细屁股大,边洗澡边抚摸,好有感觉,顺子🐔🐔兴奋起来,摸着老师奶子,感觉像初恋,我大胆提出在洗手间里开干,也是第一次又这种冲动,老师顺着慢慢往下亲吻,含着我🐔🐔,让我欲罢不能,此时老师也骚气的叫声,带上伞我强烈要求后入试,抱着顺子的大屁股一顿猛插,不听输出,老师的叫声也让我越来越刺激,水声,叫声,让我不得不交枪,第一次这样玩

1

26 Jun 2026, 14:08 UTC≈2,240 views1 reactionsread 7 August 2026
Forwarded from @wuhanhua2

【验证留名】可匿名不写 【验证时间】2026年 6 月 26日 【老师花名】顺子 【联系方式】https://t.me/wuhanhua1/12626 【卫生环境】非常整洁,干净 【所在位置】小区里 【修车水费】5p 【服务内容】例子: 鸳鸯浴,水中萧,情趣调情,69,🐍,各种姿势,课表内容都有) 【服务过程】三刷顺子老师,依旧感觉开心,一进门感觉回到家里,还是如此温馨,各种鲜花摆放,拉着我的手来到沙发,交完水费,开始水浴,顺子是很热情的帮我洗澡,洗完后来到房间,换上性感的连体黑丝,来到我身边,拥抱着,慢慢开始亲吻我身体,非常有感觉,慢慢往下亲吻,手也轻轻抚摸,瞬间🐔🐔竖起来了,顺子用口含着,舌头细腻,包裹的紧紧的,我感觉我都把持不住了,带上伞,我主动出击,不停的来回输出,换了姿势,我从后面插入,看见顺子超大的肥臀,让我超级兴奋,来回输出,手扶着细腰,听见顺子的骚叫声,我坚持不住了,交货了,每次给顺子超有感觉,喜欢 迷恋顺子…👍

1

Showing the 12 most recent of 20 posts we hold for @aabb117712. 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 — 1,091,428 of 1,345,403entries 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 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“顺子的小屋🏠” (@aabb117712), 1,452 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/aabb117712.

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.