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Telegram profile photo for 巨乳沐沐的office

Channel

巨乳沐沐的office

@ccm57332

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

139subscribers

-27 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003277313283
TypeChannel
Username@ccm57332
CreatedBetween 1 October 2025 and 5 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live27 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/ccm57332

Growth

13916715319 August 2026 — 166 subscribers19 August 2026 — 166 subscribers20 August 2026 — 167 subscribers27 August 2026 — 139 subscribers19 August 202627 August 2026
4 measurements spanning 8 days, net -27. 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 135–171 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 02:43139-28
20 Aug 2026, 06:06167+1
19 Aug 2026, 13:15166no change
19 Aug 2026, 13:00166first reading

Engagement

15 posts held, back to 5 January 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
2.88%
avg views ÷ 139 subscribers
Avg views / post
4.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 August 2026
Posts held15 (5 January 202619 August 2026)
Views total4
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 13:15 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

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.

Recent posts

19 Aug 2026, 05:57 UTC4 viewsread 19 August 2026
Photo

最近熬夜对肝不好 哥哥能叫我“小心肝”嘛💋

24 Jul 2026, 09:58 UTC19 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#沐沐 🤖链接:https://t.me/shanghaidadao/10635 💒位置:#浦东 ------------------ 💌出击报告:进门后先没有急着开始,而是从包里拿出两条软绳和眼罩,问我能接受的程度。确认过都是轻微之后,她把我的手腕松松固定在床头,眼睛也遮上,世界一下子只剩下触觉和声音。舔蛋是在这个状态下开始的。她的舌头又软又热,先从下面慢慢舔上来,把两边都仔细照顾到,偶尔用嘴唇轻轻吸住。因为看不见,每一下触感都被放大,她还时不时吹一口凉气,刺激得人腰眼发麻。真正进入69时她没有解开束缚,自己调整位置跨上来。上面是她的嘴继续吞吐,下面是已经湿润的地方完全贴过来。轻微SM的压迫感还在,手腕的限制让人没法主动去抓她,只能被动接受两边同时传来的刺激。她会故意放慢速度,等我快到的时候又突然加深,掌控感很强。69的紧密、舔蛋的细致、轻微SM带来的无法反抗,三样叠在一起,快感变得又密又长。整个过程她都控制着节奏,既

20 Jul 2026, 12:31 UTC18 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#沐沐 🤖链接:https://t.me/shanghaidadao/10635 💒位置:#浦东 ------------------ 💌出击报告:轻微SM玩得特别带感!长相甜美,身材匀称,服务又温柔又骚。先是鸳鸯浴,水温舒服,她全身涂满泡沫贴着我磨,互相亲吻调情,嘴巴又软又会撩,骚话说得我鸡巴直硬。浴室里她乖乖让我轻微控制,抓着她头发按着她给我口,玩得很有征服感。出来后轻微SM环节,她让我用丝带绑住她双手,蒙上眼睛,跪在床上任我玩弄。我抽她小屁股,她叫得又软又浪,下面湿得一塌糊涂。轻微捆绑+调教的过程中她配合度极高,该叫的时候叫,该求饶的时候求饶,氛围拉满。调情功力也很强,整个过程眼神勾人,声音软软地叫哥哥,骚话不断,把我撩得欲火焚身。沐沐的轻微SM+鸳鸯浴+调情组合既刺激又有情趣,不会太重口。服务主动温柔,强烈推荐!下次我还要继续调教这个小骚奴!

13 Jul 2026, 08:12 UTC18 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#沐沐 🤖链接: https://t.me/shanghaidadao/10635 💒位置:#浦东 ------------------ 💌出击报告:一进门她就提议先来鸳鸯浴。浴缸里热水放满,我们两个赤裸着泡在一起。她坐在我腿上,背靠着我胸口,一边被我从后面揉奶抠穴,一边轻轻扭腰磨我的鸡巴。水波荡漾间前戏做得特别舒服,她还转过头来和我舌吻,浴室里全是暧昧的水声。洗完出来,我们直接玩69。她主动跨坐在我脸上,小穴湿漉漉地压下来,我一边舔她阴蒂一边用手指插她。她低头把我的鸡巴含得又深又紧,口水顺着蛋蛋往下流,69做得特别投入,互相取悦的感觉很强。玩得兴起,我拿出准备好的丝绳和眼罩,开始轻微SM。把她双手绑在床头,蒙上眼睛。她被绑着还很乖,轻轻颤抖着说:“哥哥……沐沐是你的小玩具,随便玩……”我用皮带轻轻抽她奶子和内侧大腿,她被抽得又痛又爽,下面水流得更多了。轻微SM之后我把她解开,狠狠操了她一顿。她叫床声音又软又甜,被我干到

9 Jul 2026, 11:07 UTC19 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#沐沐 🤖链接: https://t.me/shanghaidadao/10635 💒位置: #浦东 ------------------ 💌出击报告:爽得头皮发麻!这妹子长相甜美,身材却很骚,奶子又大又软,腰细臀翘,皮肤滑嫩,属于看起来乖乖其实很会玩的那种。服务直接上强度,先是69。她主动骑在我脸上,小逼粉嫩多水,我舔得她直抖,她也低头给我深喉,吸得又深又狠,口水拉丝,技术很顶。然后玩轻微SM,她拿丝带把我手腕轻轻绑住,蒙上眼睛,坐在我身上慢慢磨蹭,用奶子抽打我脸和鸡巴,边打边问我爽不爽,带点女王调教感,但又不会太重,玩得特别刺激。我忍不住挣脱后把她按住猛操,她还配合着叫得更浪。胸推环节她涂满精油,用那对大奶子紧紧夹住我鸡巴,前后猛推,奶肉又软又热,龟头每次顶到她下巴,她还吐舌头舔,爽爆了。最后臂推,她用光滑的手臂和腋下夹着鸡巴套弄,另类玩法但意外地爽,配合她骚骚的眼神,射得特别快。 沐沐服务项目丰富,轻微SM玩得有氛

Showing the 12 most recent of 15 posts we hold for @ccm57332. 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 — 608,958 of 1,620,105entries 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“巨乳沐沐的office” (@ccm57332), 139 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/ccm57332.

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.