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Channel

【萧山】杭州上门💃杭州外围部分展示区

@aabbaac1

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

14,347subscribers

+6,779 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001729368606
TypeChannel
Username@aabbaac1
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 September 2026
Measurements held17
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/aabbaac1

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

7,56814,34710,957.57 August 2026 — 7,568 subscribers8 August 2026 — 7,570 subscribers11 August 2026 — 9,975 subscribers14 August 2026 — 9,938 subscribers17 August 2026 — 9,929 subscribers20 August 2026 — 9,909 subscribers23 August 2026 — 9,902 subscribers26 August 2026 — 9,884 subscribers29 August 2026 — 10,693 subscribers30 August 2026 — 10,695 subscribers31 August 2026 — 10,684 subscribers1 September 2026 — 10,675 subscribers2 September 2026 — 10,519 subscribers3 September 2026 — 10,512 subscribers5 September 2026 — 11,376 subscribers8 September 2026 — 12,777 subscribers11 September 2026 — 14,347 subscribers7 August 202611 September 2026
17 measurements spanning 35 days, net +6,779. 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 6,551–15,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 13:5914,347+1,570
8 Sept 2026, 19:3812,777+1,401
5 Sept 2026, 13:1611,376+864
3 Sept 2026, 15:0210,512-7
2 Sept 2026, 10:1710,519-156
1 Sept 2026, 10:2510,675-9
31 Aug 2026, 13:5410,684-11
30 Aug 2026, 17:1510,695+2
29 Aug 2026, 16:3410,693+809
26 Aug 2026, 16:429,884-18
23 Aug 2026, 19:439,902-7
20 Aug 2026, 12:049,909-20
17 Aug 2026, 12:269,929-9
14 Aug 2026, 06:379,938-37
11 Aug 2026, 06:519,975+2,405
8 Aug 2026, 01:407,570+2
7 Aug 2026, 18:477,568first reading

Engagement

46 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.22%
avg views ÷ 14,347 subscribers
Avg views / post
175
30 posts measured
Reaction rate
0.923%
reactions ÷ views · ER floor
Posts in window
30
of 46 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 2 of 30 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 1 September 2026
Posts held46 (6 August 20261 September 2026)
Views total5,257
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 20:36 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
3m 16s
Average length
6s

Measured directly from 35 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

4 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 4 of the 46 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 46 most recent posts we hold, published 6 August 2026 to 1 September 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

1 Sept 2026, 07:36 UTC56 viewsread 1 September 2026
Photo

萧山 07年 天然真C🐻,身高165🌼 初恋般的感觉,可盐可甜,不催不事 🌼 全身雪白,白到发光,清冷白月光🌼 🈚️风尘味道的,超凡脱俗🌼 完美身材比例,配合度极高🌼 屁屁肉弹性十足...任意姿势,不过分都配合! 🉑69,轻度亲吻,🈶情趣/丝袜,🫦可🈚️套口 🈲无套,吃药,嗑药 住宅小区,干净安全🌼 有学生证

1 Sept 2026, 07:36 UTC49 viewsread 1 September 2026
Photo

萧山 纯欲 清纯洋气真实04皮肤雪白 174 92 甜美 高素质 健身翘臀 学生兼职 短开只接素质客

1 Sept 2026, 07:36 UTC46 viewsread 1 September 2026
Photo

萧山 年龄/𝑎𝑔𝑒: 04 身高/ℎ𝑡: 172 罩杯/𝑐𝑢𝑝: D 体重/𝑤𝑡: 47Kg 胸型超美不下垂,常年健身S曲线,****,无小肚子无赘肉,皮肤如婴儿般雪白细腻光滑不长痘 打扮性感洋气,🈚不良爱好,性格热情洋溢,热爱生活,热爱旅行,热爱世间一切美好比如你 极具诱惑的眼神让你欲罢不能,饱满紧致的🦋美穴🔥好氵多带你解锁🔒更多姿势 本人精致巴掌脸比照片更真实好看,人照🈚差,如是假照假胸假臀赔总

29 Aug 2026, 16:22 UTC461 viewsread 29 August 2026
Photo

⚠️ 请勿给妹妹现场展示本频道 🌟 查看杭州顶美频道 🌟 查看杭州中圈频道 🌟 查看萧山大圈频道 🌟 查看滨江大圈频道 🌟 查看上城大圈频道 🌟 查看拱墅大圈频道 🌟 高端外围导航入口 🌟 包养包月导航入口 🌟 客户评价反馈频道 🌟 客服大蜜: @lo080 🌟 双向客服:@lo080bot

29 Aug 2026, 08:36 UTC37 viewsread 29 August 2026
Photo

杭州02年170E娜娜子🏠#H827 #萧山 家三外五 🦋Age:24/170平/E 户型 🦋肥臀紧B!通体白🉑🐍吻和69 🦋高素质 高质量 高品质 🦋性格比身材还好 🦋巨灯肥臀都给你 有前有后 不事儿不催尾号0963除此之外都不是本人。。 真胸!!!真胸!!!真胸!! #功

29 Aug 2026, 08:35 UTC33 viewsread 29 August 2026
Photo

杭州04年172D娜娜子🏠#H816 #萧山 千千极品172D 年龄:04 净身高:172胸围:真🐻D 职业:自媒体博主 兴趣:健身 户外 骑行 臀部丰满 皮肤细腻 滑嫩 圈外兼职 #新

29 Aug 2026, 08:35 UTC25 viewsread 29 August 2026
Photo

杭州03年165C娜娜子🏠#H824 #萧山 纯欲 新人第一次下💦 身高:165 年份:03 体重:45kg 胸C 南方人纯欲系冷白皮 乖巧听话 不催不事 主动配合 女友感十足 #荞

26 Aug 2026, 09:24 UTC877 viewsread 29 August 2026
Photo

⚠️ 请勿给妹妹现场展示本频道 🌟 查看杭州顶美频道 🌟 查看杭州中圈频道 🌟 查看萧山大圈频道 🌟 查看滨江大圈频道 🌟 查看上城大圈频道 🌟 查看拱墅大圈频道 🌟 高端外围导航入口 🌟 包养包月导航入口 🌟 客户评价反馈频道 🌟 客服大蜜: @lo080 🌟 双向客服:@lo080bot

26 Aug 2026, 09:20 UTC174 views1 reactionsread 29 August 2026
Photo

杭州04年173D娜娜子🏠#H816 #萧山 御姐 173真🐻D 体验感💯 好评多多👍 香香软软 皮肤光滑 🌟体重:98 斤 🌟年龄:04 年 🌟双商高、胸大屁股大 完美翘臀 🌟配合度高 不催不事 好评多多 #新

1

26 Aug 2026, 09:20 UTC127 viewsread 29 August 2026
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杭州08年170B娜娜子🏠#H815 #萧山 清纯学妹冰冰 🍓杭州极品嫩汁纯欲少女 🎀08年🐻b杯 体重92斤 🎀bb紧致粉嫩如chu 🎀皮肤超白嫩 🌸💧胸型超级酥软 前凸后翘 🌸性格超温柔体贴可爱 🌸上课热情超级配合,不催不事 🌸有制服,丝袜 🍓双商高 乖巧听话 不催不事♡ 🉑飞,🉑✌🏻,🉑69,🉑🐍只接素质k #鸟

26 Aug 2026, 09:20 UTC103 viewsread 29 August 2026
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杭州04年165C娜娜子🏠#H813 #萧山 家三外五 韩国人 old:04 Hight: 165cm Wight: 70斤 Cup: C 秋无绝色,悦目是佳人。 倾国倾城貌,惊为天下人。 • 无风尘气,女友感 • 谈吐气质一流 皮肤雪白 前凸后翘 可夜 #丝

24 Aug 2026, 09:44 UTC66 viewsread 25 August 2026
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#萧山 迪迪 本人比照片好看 气质出尘 三点粉嫩👅 • 𝐇𝐞𝐢𝐠𝐡𝐭身高/168 • 𝐖𝐞𝐢𝐠𝐡𝐭体重/43kg • 𝐁𝐮𝐬𝐭胸围/天然C • 𝐀𝐠𝐞年龄/04年 气质型美女 🌟清纯可爱 笑容甜美 服务热情❤️🔥 女友式体验 🌟👙皮肤天生雪白 💦💦多多清甜甘露 紧致如处

Showing the 12 most recent of 46 posts we hold for @aabbaac1. 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.

Mentions

Named by 5 registered channels — 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.

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.

“【萧山】杭州上门💃杭州外围部分展示区” (@aabbaac1), 14,347 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/aabbaac1.

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.