#成都 成都 妹妹 课表 https://t.me/yy097809 双向 @yy097809_bot 飞机 @yy09780978 与你 yy0978 地址:成都市武侯区,保利•锦外小户 开门进去妹妹穿着短裙衬衣,人照挺符合的一块去沙发休息,妹妹说话甜甜的一口一个宝宝,搂着还主动亲我摸我,在沙发就跟妹妹热吻起来,于是一块去洗澡,脱了衣服妹妹身材挺匀称的,皮肤比较白胸刚好一手握住,摸上沐浴露抱着我蹭在浴室边蹭边跟妹妹热吻,又从背后抱着蹭冲干净之后含热水来了一个水中萧,帮我擦干水到床上去拿制服给我选,最后穿了一个蕾丝镂空女仆装和黑丝,耳边喘息从耳朵一直舔到胸,抱着亲亲了一会还把胸送到嘴边让我吃,吃了会有抱着啃了一会,妹妹说吃我下面就含着肉棒吃了起来,很硬了戴套女上进入,水多挺紧妹妹娇喘摸着下面湿嗒嗒的,换我来抱着边亲边做,妹妹反馈好来感觉了抓住我,腿盘着我让我往里顶深一点,又换后面妹妹也是配合的往后顶,感觉顶的很深很爽叫着…

Channel
全国楼凤小姐信息👯
@mm138533
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
40,214subscribers
+540 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002182018084 |
|---|---|
| Type | Channel |
| Username | @mm138533 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/mm138533 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 20:37 | 40,214 | +37 |
| 19 Sept 2026, 17:56 | 40,177 | +49 |
| 17 Sept 2026, 06:20 | 40,128 | +91 |
| 15 Sept 2026, 06:38 | 40,037 | +53 |
| 13 Sept 2026, 16:21 | 39,984 | +89 |
| 11 Sept 2026, 21:19 | 39,895 | -1 |
| 9 Sept 2026, 12:19 | 39,896 | +21 |
| 6 Sept 2026, 06:19 | 39,875 | +14 |
| 3 Sept 2026, 22:01 | 39,861 | +32 |
| 2 Sept 2026, 14:39 | 39,829 | +16 |
| 1 Sept 2026, 12:09 | 39,813 | +11 |
| 31 Aug 2026, 15:16 | 39,802 | +3 |
| 30 Aug 2026, 17:34 | 39,799 | +8 |
| 29 Aug 2026, 15:03 | 39,791 | +14 |
| 27 Aug 2026, 16:57 | 39,777 | +16 |
| 26 Aug 2026, 18:43 | 39,761 | -2 |
| 25 Aug 2026, 17:08 | 39,763 | -3 |
| 24 Aug 2026, 19:24 | 39,766 | +12 |
| 23 Aug 2026, 02:27 | 39,754 | +9 |
| 21 Aug 2026, 17:28 | 39,745 | first reading |
Engagement
503 posts held, back to 7 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 115 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.68%
- avg views ÷ 40,214 subscribers
- Avg views / post
- 677
- 269 posts measured
- Reaction rate
- 0.143%
- reactions ÷ views · ER floor
- Posts in window
- 271
- of 503 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 73 of 269 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 October 2026 |
|---|---|
| Posts held | 503 (7 August 2026 – 4 October 2026) |
| Views total | 182,144 |
| Reactions total | 87 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 03:34 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
- ≈12,400
- Videos
- ≈964
- Links
- ≈1,770
Lifetime counters from Telegram’s own channel header, read 4 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 16m 43s
- Average length
- 11s
Measured directly from 92 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
267 reactions across 153 posts, in 9 distinct kinds. The most used accounts for 78.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 210 | 78.7% | |
| 🤮 | 23 | 8.61% | |
| 👎 | 15 | 5.62% | |
| 👍 | 9 | 3.37% | |
| 💩 | 5 | 1.87% | |
| 🔥 | 2 | 0.749% | |
| 👏 | 1 | 0.375% | |
| 🖕 | 1 | 0.375% | |
| 😱 | 1 | 0.375% |
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 191 of the 503 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 267 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 503 most recent posts we hold, published 7 August 2026 to 4 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
#上海市 #浦东新区 #个人兼职 #已验证放心CJ 上海 【老师艺名】琪琪 【联系方式】 @qqwwzx668 【所在位置] 上海浦东新区三林 有教室,也可以外出上门 【修车费用】700p 1300pp 【颜值身材】萝莉 白虎 【服务内容】69,毒龙,口爆,爱爱,指画,冰火,跳跳糖,丝袜高跟,丝袜可斯,后入,各种姿势,蛇吻 【体验细节】体验过程,嫩妹、萝莉型的老师出击了不少,但琪琪老师给我的感觉却完全不一样。来源于地域加成的开朗性格、天生的好身材,以及在嫩妹中可圈可点的技术,组成了一次难忘的上课体验。在琪琪老师这里获得的不是一时的释放,而是一段值得反顾回味的时光。如果喜欢这一类型的话,绝对值得体验一次。也请大家温柔对待琪琪老师,这一行有这一行的不易,希望下次见面时她依然会带着那抹令人暖心的笑容。 联系方式 电报 @qqwwzx668 频道 https://t.me/jrdcjtd66
❤1
#北京市 #丰台区 #个人兼职 #已验证放心CJ 详细地址: 北京丰台宋家庄 外卖与否: 可以 妹子数量: 1 妹子年龄: 23 服务态度: 很好 服务菜单: 舌吻#69#毒龙#无套口#各种制服#丝袜#调情#各种姿势爱爱 莞式全套一条龙服务 环境设备: 有教室去 营业时间: 自己问吧 妹子价格: P700 综合评估: 美 联系方式:电报 @ggkkww1688 详细介绍: 小妹子身材极致的完美,身高168体重95斤左右,属于是平时我玩过的收藏品级了,见面的第一眼人照9分,真的是很惊艳,简单聊了一会儿以后就付了米然后就开始帮我脱衣服拉着我去洗澡,洗澡的时候小弟就硬的不行了,胸又大又软,腰还非常的细,背对着我在我身上蹭的时候真的顶不住,洗完澡到床上因为服务项目比较少简单弄完之后就进入主题了,小妹子也确实是个子太高了女上姿势不太爽,洞里面是热热的滑滑的,啪的时候有时候不太方便妹子也不会不耐烦一直都是很有耐心的配合换姿势啥的,最…
#广州 广州番禺 艺名:颜颜呀 年龄23碎纯天然C体重:98斤身高168cm 皮肤嫩滑细腻性格温柔体贴敏感多汁三点粉瘦底大波 真胸手感柔软无科技 身材高挑 细腰翘臀 大大长腿 服务认真 女友感十足 服务感十足 服务之星服务配合度极高服务 2吻kiss、激情六九、鸳鸯浴、调情、过水、波推、臂推、爱抚调情、无套吹箫、深喉吹箫、指划、互亲咪咪、舔蛋蛋、情趣制服、丝袜、简单按摩、冰火两重天、69、毒龙、水中萧(在室跪着吹箫)、足交打飞机、口(算一次)激情啪啪啪啪啪 一颗:700/45分钟两颗:1200/90分钟 包夜:2000/十小时不限次数有工作室,也可以外出 定金100预约不满意可以退款 @hhhh208
#北京 #朝阳区 #个人兼职 #可上门 北京 极品白虎兼职学生妹 可外出 地址:北京市朝阳区 服务好 姿势多 不催时间 服务:69,爱爱,口爆,胸推,制服,艳舞,过水,接吻 可以公寓上课也可以外出服务 700 50分钟 1300 100分钟 联系方式 电报 @qqaa258000 双向 @qqaa258000_bot 频道 https://t.me/gfdvhfdgfsch
#广州 广州番禺 艺名:颜颜呀 年龄23碎纯天然C体重:98斤身高168cm 皮肤嫩滑细腻性格温柔体贴敏感多汁三点粉瘦底大波 真胸手感柔软无科技 身材高挑 细腰翘臀 大大长腿 服务认真 女友感十足 服务感十足 服务之星服务配合度极高服务 2吻kiss、激情六九、鸳鸯浴、调情、过水、波推、臂推、爱抚调情、无套吹箫、深喉吹箫、指划、互亲咪咪、舔蛋蛋、情趣制服、丝袜、简单按摩、冰火两重天、69、毒龙、水中萧(在室跪着吹箫)、足交打飞机、口(算一次)激情啪啪啪啪啪 一颗:700/45分钟两颗:1200/90分钟 包夜:2000/十小时不限次数有工作室,也可以外出 定金100预约不满意可以退款 @hhhh208
#天津 #个人兼职 #可上门 #天津 个人兼职主打一个听话 有租房一次性用品,也可上门服务 💋身高:170🌷年龄:04 🐷体重:95 🦋粉👉🏻敏感型🌸 费:700p 1300pp 联系老师:@luluu7523 老师频道:https://t.me/luluu75233 体验过程】:第一眼袭击而来的是一位情趣感满满的老师,进门引领着我来到沙发坐下休息一会,我好好端详一下,胸很大,身材很好,马上交了水费,然后进入浴室开始洗澡,在洗澡结束老师还热情的含住了我的二弟,在此时都快把我顶起来了,老师不像其它人,吸着蛋蛋很有感觉,简直飘飘欲仙的感觉真的停不下来,口活很好,由于沉迷于享受,忘记叫老师往上走,下次我一定要补上,服务细致又认真,舔着我的奶子,然后进行女上,然后各种姿势都会,在运动结束之后老师贴心的帮我沐浴。
#重庆 城市:重庆 服务项目:爱爱,接吻,gj,冰火,制服,道具,鸳鸯浴,毒龙,69,艳舞,三通,丁字裤丝袜摩擦,SM,kj,口爆吞精,颜射,等等服务 价格:800 QQ:3694652525 QQ:1714988079 与你:Xxin0608
#成都 城市:成都 服务项目:爱爱,接吻,gj,冰火,制服,道具,鸳鸯浴,毒龙,69,艳舞,三通,丁字裤丝袜摩擦,SM,kj,口爆吞精,颜射,等等服务 价格:800 QQ:3848700942 QQ:3771869520 与你:Xxin0608
#武汉 城市:武汉 服务项目:爱爱,接吻,gj,冰火,制服,道具,鸳鸯浴,毒龙,69,艳舞,三通,丁字裤丝袜摩擦,SM,kj,口爆吞精,颜射,等等服务 价格:800 QQ:3807094523 QQ:3930243501 与你:Xxin0608
#广州 广州番禺钟村 价格3 - 6 与你号:kk29098 qq:3750674898
#泰州市 #泰州 #个人兼职 #已验证放心CJ 163/06年🉑69舌吻 🉑舔B 御姐风女孩🎀bb紧致粉嫩如chu 🍓1:1情趣娃娃🍓 🎀勾魂蜜桃臀嫩汁 🎀有舞蹈功底 柔韧性很强 全身无整 无纹身 皮肤超白嫩 情趣/舞蹈/ 🎀第一次下水 ❤️妹妹自聊对接,没有中介❤️ ❤️ 定期检查✅有体检报告 ❤️服务内容:69.舌吻.陪浴.制服.调情.莞式服务一条龙 🩷价格:800 见面满意付款 联系方式:Q 3956416069 3818267428 详细地址:泰州市海陵区
Showing the 12 most recent of 503 posts we hold for @mm138533. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
@pc138533 · 24,03140 posts全国少妇熟女楼凤站街女信息🌹🌹
@sn138533 · 59,96940 posts济南洪楼修车报告台
@jnlichengspa · 3,28020 posts南宫系列台
@fele666 · 7,32014 posts全国莞式海选98会所
@niyonxin · 3,97112 posts全国中高端洋酒转运珠交友
@divxuj · 1,25611 posts琪琪 自做自聊
@jrdcjtd66 · 1,18710 posts李琪琪的朋友圈
@ppst12123 · 68510 posts东南亚吹水群·四海为家
@eshwj · 2,4629 postsMK体育
@MK888bot · 12,5579 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,5439 posts妮妮爱健身可上门
@nini70738 · 1,1869 posts东南亚资讯|聚焦
@rdsjo · 16,5769 posts❤️鹿鹿🦌朋友圈
@xsjywgwvq · 1,8298 posts希希
@ooseywo · 3,4845 posts诗诗小秘密
@gfdvhfdgfsch · 1,3404 posts小香菜
@papawennij · 3,6994 posts果冻
@tmjswwo · 3,2334 posts荷包蛋
@koutulow · 2,9303 posts陈皮皮
@pipixia886 · 353 posts妮妮🌸
@Ahk133 · 1,8932 posts汐汐生活圈
@jyrdcbjrxopbw · 522 posts欣欣朋友圈
@nhrdhurdvja · 1,3572 posts露露的开课频道
@luluu75233 · 21 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@mm138533 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 20 August 2026 – 20 August 2026
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.
“全国楼凤小姐信息👯” (@mm138533), 40,214 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/mm138533.
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.