#深圳 深圳服务型熟女 年龄:35 地址:深圳坂田北A出口,五和C出口 qq:3645019352与你号:AAOK369 授课内容:69、毒龙、舌吻、无套口、漫游、丝袜制服诱惑 价格300p500pp

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
40,873subscribers
+1,199 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 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 26 October 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 Oct 2026, 07:47 | 40,873 | +24 |
| 25 Oct 2026, 05:20 | 40,849 | +38 |
| 24 Oct 2026, 07:35 | 40,811 | +29 |
| 23 Oct 2026, 11:00 | 40,782 | +22 |
| 22 Oct 2026, 11:57 | 40,760 | +43 |
| 21 Oct 2026, 05:18 | 40,717 | +27 |
| 20 Oct 2026, 01:36 | 40,690 | +30 |
| 18 Oct 2026, 23:04 | 40,660 | +42 |
| 17 Oct 2026, 23:36 | 40,618 | +43 |
| 16 Oct 2026, 22:48 | 40,575 | +39 |
| 15 Oct 2026, 19:47 | 40,536 | +25 |
| 14 Oct 2026, 16:19 | 40,511 | +56 |
| 13 Oct 2026, 08:27 | 40,455 | +141 |
| 9 Oct 2026, 06:59 | 40,314 | +13 |
| 4 Oct 2026, 17:00 | 40,301 | +87 |
| 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 | first reading |
Engagement
747 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 171 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.48%
- avg views ÷ 40,873 subscribers
- Avg views / post
- 605
- 307 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 307
- of 747 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 87 of 307 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 747 (7 August 2026 – 26 October 2026) |
| Views total | 185,697 |
| Reactions total | 84 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 21:41 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
- ≈13,500
- Videos
- ≈1,010
- Links
- ≈1,790
Lifetime counters from Telegram’s own channel header, read 26 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
- 20m 30s
- Average length
- 11s
Measured directly from 112 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
340 reactions across 208 posts, in 9 distinct kinds. The most used accounts for 77.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 262 | 77.1% | |
| 👍 | 26 | 7.65% | |
| 🤮 | 26 | 7.65% | |
| 👎 | 16 | 4.71% | |
| 💩 | 5 | 1.47% | |
| 🔥 | 2 | 0.588% | |
| 👏 | 1 | 0.294% | |
| 🖕 | 1 | 0.294% | |
| 😱 | 1 | 0.294% |
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 263 of the 747 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 340 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 747 most recent posts we hold, published 7 August 2026 to 26 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
#广州 #番禺区 广州 清纯性感妮妮 年龄:25 授课内容:69,舌吻,鸳鸯浴,爱爱,水中萧,足推 课费:500 联系方式:与你:za32za QQ:3684543837 地址:广州市番禺区南站附近 加挺久了一直想约,前天看到小姐姐开课迫不及待找去了,开门见到真人和照片一致,小姐姐长相不错特别那双媚眼感觉会勾人,加上穿的黑丝网衣一下就来感觉了,赶紧付了水费洗洗,小姐姐果然很风骚洗的时候就开始挑逗摸弟弟还准备蹲下口,都有些不好意思了,到了床上亲咪咪舔蛋蛋波推吮吸调情,没一会儿就搞的欲火焚身带上套套开干,在骚穴外边蹭几下小姐姐就开始呻吟了,忍不了直接进入,一边抽插一边亲吻搓揉酥胸,骚叫声愈发强烈,挺真实的叫床不是那种做作的声音,受不了搂紧小姐姐又猛怼几十下交货,挺不错的一个小姐姐,长相身材服务都对胃口,整个过程也都配合,给人舒畅的感觉,下次继续反食。
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❤1
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#格尔木市 #格尔木 #个人兼职 #已验证放心CJ 🎀体重:49 kg 🎀年龄:03年 🎀🐻 : C 165 🎀皮肤白皙光滑 吹弹可破 🥢腿细长直 🎀完美腰臀比例 🐍腰🍑臀 极易敏感多汁 服务:裸套吹 💋洗澡💋 调情💋颜色💋情趣制服💋69互舔💋冰火💋激情啪啪💋后花园💋内射 舌尖漫游 姿势随便换 价格:800 Q: 1300046238 448656304 详细地址:格尔木市
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Showing the 12 most recent of 747 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 · 25,11170 posts全国少妇熟女楼凤站街女信息🌹🌹
@sn138533 · 63,54070 posts南宫系列台
@fele666 · 7,21842 posts济南洪楼修车报告台
@jnlichengspa · 3,17125 posts琪琪 自做自聊
@jrdcjtd66 · 1,61812 posts全国莞式海选98会所
@niyonxin · 4,08612 posts全国中高端洋酒转运珠交友
@divxuj · 1,31211 posts李琪琪的朋友圈
@ppst12123 · 1,24611 posts妮妮爱健身可上门
@nini70738 · 1,42810 posts东南亚吹水群·四海为家
@eshwj · 2,4129 postsMK体育
@MK888bot · 10,4079 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,4999 posts东南亚资讯|聚焦
@rdsjo · 15,8209 posts诗诗小秘密
@gfdvhfdgfsch · 1,4625 posts希希
@ooseywo · 3,4825 posts小香菜
@papawennij · 3,6994 posts果冻
@tmjswwo · 3,2654 posts荷包蛋
@koutulow · 2,9293 posts欣欣朋友圈
@nhrdhurdvja · 1,5143 posts陈皮皮
@pipixia886 · 483 posts妮妮🌸
@Ahk133 · 2,1572 posts汐汐生活圈
@jyrdcbjrxopbw · 1382 posts依依的小屋
@yy097809 · 71 post亚亚美养专业抓龙凤筋#帝王潮喷
@zhangzhengya66 · 1791 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
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@mm138533 named 2 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 4 October 2026 – 5 October 2026 · confirmed gone 15 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 October 2026 — this entry's latest reading, not the date you are reading this.
“全国楼凤小姐信息👯” (@mm138533), 40,873 subscribers as measured 26 October 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.