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Channel

婷婷的后花园

@pcmm2323

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

418subscribers

-7 since we began measuring on 9 September 2026

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

Register entry

Telegram ID-1002282138930
TypeChannel
Username@pcmm2323
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live11 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/pcmm2323

Growth

418425421.59 September 2026 — 425 subscribers9 September 2026 — 425 subscribers11 September 2026 — 418 subscribers9 September 202611 September 2026
3 measurements spanning 2 days, net -7. 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 417–426 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 06:16418-7
9 Sept 2026, 10:22425no change
9 Sept 2026, 09:47425first reading

Engagement

20 posts held, back to 8 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.67%
avg views ÷ 418 subscribers
Avg views / post
7.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 September 2026
Posts held20 (8 January 20267 September 2026)
Views total7
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 10:22 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.

Recent posts

11 Aug 2026, 07:48 UTC36 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接: https://t.me/shanghaidadao/11458 💒位置:#宝山 ------------------ 💌出击报告:关注很久了,今天终于约到婷婷老师,本来看频道没什么报告还有点小担心,但是见到真人的那一刻就知道值了,没有照骗,共浴的时候我就忍不住跟ls🐍了,之后到床上ls也特别配合,口活是我见过的最好的,搞得我身体不停发抖。正戏我有点桩,刚来点感觉ls没体力了,也不想让老师太累就打出来了,总体而言非常好的一次体验,还会返

30 Jul 2026, 15:33 UTC37 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接:https://t.me/shanghaidadao/11458 💒位置:#宝山 ------------------ 💌出击报告:按约定走了角色扮演,进门后的语气和表情已经完全入戏。她没有立刻动手,先把设定的对话走完,称呼和态度都按剧情来,很快就把房间的气氛拉进那个情境,沉浸感很强。真正进入69时她依然保持着角色。跨上来的动作带着戏里的情绪,上面认真吞吐,下面把已经湿润的地方完全贴过来。两边同时进行的时候,她还会用角色里的口气轻轻应一声,又色又入戏。水声和她压低的声音混在一起,刺激被放大了不少。 整个过程几乎没有出戏。69的紧密姿势和角色扮演的完整代入叠在一起,让本来直接的身体接触多了一层故事感。结束时她还顺着剧情说了最后一句,才慢慢收回表情,靠在一边喘气。 这种会演、会做69、还能把角色维持到最后的,体验完会很有复购欲。

19 Jul 2026, 13:36 UTC39 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接:https://t.me/shanghaidadao/10428 💒位置:#宝山 ------------------ 💌出击报告:婷婷真会玩!声音软软糯糯的,一见面就贴上来调情,眼神骚浪得要命。直接拉我去洗澡过水,鸳鸯浴玩得特别湿润。她全身涂满泡沫,滑溜溜地在我身上磨蹭,那对奶子又软又弹,在我鸡巴上蹭来蹭去,边洗边亲,舌吻又深又湿,调情技术一流,把我撩得鸡巴硬得发疼。洗完出来直接69,她技术很骚,主动骑在我脸上,小穴又粉又嫩,我舔得她直流水。她下面给我深喉,舌头灵活地缠着龟头和马眼,边吸边用手撸,69的同时还不停地说骚话:“哥哥好硬啊……想射我嘴里吗?”听得我血脉喷张。她调情功力真的强,一边69一边用眼神勾我,腰肢扭动,小穴在我嘴里一缩一缩的,爽得我差点先射。整个过程氛围拉满,既温柔又放得开,过水前戏做得特别足,69调情又深入又持久。婷婷服务热情主动,没有一丝敷衍。强烈推荐给喜欢前戏足、会撩的狼友!下次

11 Jul 2026, 12:20 UTC40 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接: https://t.me/shanghaidadao/10428 💒位置: #宝山 ------------------ 💌出击报告:我们先从过水开始。浴室热水淋浴下,她穿着薄薄的白色吊带,湿透后紧紧贴在身上,隐约可见粉嫩的奶头。她贴着我全身涂沐浴露,用柔软的身体慢慢摩擦我后背,那对软奶子滑溜溜地蹭来蹭去,小手从胸口一路往下,握住我已经硬邦邦的鸡巴轻轻套弄,边撸边抬头亲我,热水冲着我们俩,氛围暧昧到极点。洗完擦干上床,她开始漫游。全身涂满热精油,她跨坐在我腰上,用奶子、肚子和大腿在我身上慢慢滑动按摩。从肩膀到腰部,再到大腿内侧,每一寸都照顾到,滑溜溜又软绵绵的感觉爽得我直哼哼。她还故意把湿湿的小逼贴着我鸡巴轻轻磨,淫水混着精油,刺激得我差点当场射出来。最后是角色扮演。她先装成乖乖学生妹,穿着JK短裙跪在我面前认错,然后被我“惩罚”操小嘴;接着变身性感秘书,在“办公室”弯腰翘臀让我从后面插进去,一边操一边

10 Jul 2026, 09:39 UTC30 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接:https://t.me/shanghaidadao/10428 💒位置:#宝山 ------------------ 💌出击报告:舒服到飞起!这妹子甜美温柔,脸蛋清纯,身材匀称,腿特别长,皮肤滑嫩,笑起来特别勾人。见面她就开启调情模式,软软的声音叫“哥哥~”,眼神水汪汪的,摸着我手臂撒娇,鸡巴瞬间就硬了。先陪浴,浴缸里她贴着我全身涂沐浴露,大奶子在我背上和鸡巴上慢慢蹭,边洗边调情,氛围拉满。洗完她换上丝袜诱惑,黑丝吊带+情趣内衣,跪在我面前用丝足轻轻摩擦,然后直接上69。她小逼又粉又嫩,骑在我脸上磨,我舔得她淫水狂流,她也低头给我深喉,吸得又湿又紧,舌头灵活得要命。69玩得特别投入,我们俩互相吃得满床都是水。婷婷服务很温柔细腻,调情一流,陪浴舒服,丝袜加分大,69质量高。整体体验很舒服,没有压力。

5 Jul 2026, 13:44 UTC38 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接: https://t.me/shanghaidadao/10428 💒位置:#宝山 ------------------ 💌出击报告:推荐一个宝山好货!皮肤白嫩细滑,抱起来又软又香,典型的轻瘦好操型,视觉和手感都在线!这妹子服务很会玩!互相舔得特别投入,她下面又粉又嫩,水多味甜,口活温柔又带劲。陪浴鸳鸯浴滑溜溜的,丝袜诱惑穿上大长腿更显性感,调情技巧一流,小手到处撩拨,眼神勾人,氛围拉满。全身亲吻、胸推、各种姿势都配合得很好,主动又热情,娇喘声甜得让人骨头酥软,爽感持续在线!不催不赶,体验舒适。整体就是乖巧听话又会伺候人的类型,狼友们值得一试! 宝山婷婷是近期不错的选择,丝袜+69+浴玩得尽兴,下次还想再约!推荐!

3 Jul 2026, 14:21 UTC37 viewsread 9 September 2026
Forwarded from @SHDD333

💃老师:#婷婷 🤖链接: https://t.me/shanghaidadao/3307 💒位置: #宝山 ------------------ 💌出击报告:体验感很好,老师性格非常好不会尴尬,小美女口的时候无齿感很舒服,配合很好,细腰轻柔可握。老师身材好肤白嫩滑三点粉嫩,叫声完美,很投入,教室环境也很好,床比较软!叼感很爽!下次再来

Showing the 12 most recent of 20 posts we hold for @pcmm2323. 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.

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

“婷婷的后花园” (@pcmm2323), 418 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/pcmm2323.

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.