⚠️ 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

Channel
【拱墅】杭州上门💃杭州外围部分展示区
@lolo0880
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
11,976subscribers
+4,152 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 | -1001397135719 |
|---|---|
| Type | Channel |
| Username | @lolo0880 |
| Created | Between 1 October 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/lolo0880 |
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 65% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 01:01 | 11,976 | -1 |
| 2 Nov 2026, 04:20 | 11,977 | +3 |
| 1 Nov 2026, 03:38 | 11,974 | -3 |
| 31 Oct 2026, 00:54 | 11,977 | -1 |
| 30 Oct 2026, 02:50 | 11,978 | -4 |
| 29 Oct 2026, 01:48 | 11,982 | -5 |
| 28 Oct 2026, 02:41 | 11,987 | -2 |
| 26 Oct 2026, 23:16 | 11,989 | -11 |
| 25 Oct 2026, 22:29 | 12,000 | -225 |
| 24 Oct 2026, 19:16 | 12,225 | -408 |
| 23 Oct 2026, 20:09 | 12,633 | -3 |
| 22 Oct 2026, 21:39 | 12,636 | -9 |
| 21 Oct 2026, 15:57 | 12,645 | -4 |
| 20 Oct 2026, 10:47 | 12,649 | -1 |
| 19 Oct 2026, 11:27 | 12,650 | -2 |
| 18 Oct 2026, 14:56 | 12,652 | -1 |
| 17 Oct 2026, 16:45 | 12,653 | +2 |
| 16 Oct 2026, 16:56 | 12,651 | -4 |
| 15 Oct 2026, 19:37 | 12,655 | -2 |
| 14 Oct 2026, 20:00 | 12,657 | first reading |
Engagement
45 posts held, back to 6 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 35 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.019%
- avg views ÷ 11,976 subscribers
- Avg views / post
- 2.3
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 45 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.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 45 (6 August 2026 – 3 November 2026) |
| Views total | 9 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 06:22 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.
What this channel posts
- Photos
- ≈2,880
- Videos
- ≈918
- Links
- ≈237
Lifetime counters from Telegram’s own channel header, read 3 November 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
- 3m 34s
- Average length
- 7s
Measured directly from 32 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
杭州07年172C娜娜子🏠#H673 #滨江 CC 极品小纯 湖南妹子 首次⬇️💦 见到就是赚到 腿长1.1 真正的极品天菜 通体雪白无 纹身 不吸烟 相逢就是缘分 172𝐜𝐦 ·絕頂长腿美杀 奶甜辣炸弹 长腿美殺 撕漫腰腿暴击 逆天长腿自带攻速加成 暴力拆解黃金分割公式 行走的荷尔蒙反应堆 #致命腰臀殺 #御姐極品大长腿 172𝐜𝐦 ·46𝐤𝐠 ·𝐁𝐮𝐬𝐭: C➕ #婉
杭州03年166D娜娜子🏠#H684 #拱墅 城市学院学生 少妇感 年龄23 体重48kg 身高166cm 胸围D 天然无整,超软超粉 五官精致 皮肤光滑 极致反差 真实学生 2024年入学 • 谈吐大方 高学历高素质,青春洋气,不抽烟无不良爱好 • 可甜可欲 皮肤白 S腰蜜桃臀 筷子腿极致肉眼感受 • 粉红🦋B逼 紧致 粉嫩 碰就敏感流💦 会吸会👅会叫易潮易喷,快的时候能听到💦声 🉑🐍💋🉑️🐻推 🉑陪🛁 🉑️ 69 🉑代开登记 #雨
#杭州 张艺兴🎒SC168C #桃 欣欣 🎀07年 体重88斤 纯情女高 🎀168cm 清纯看一眼就爱上类型 🎀甜度严重超标,想被哥哥抱起来doi 🎀后入超级大屁屁 细腰翘臀 🎀bb紧致粉嫩如chu 🎀全身无整 皮肤超白嫩 🌸胸型超级酥软 前凸后翘三点粉 🍓双商高 乖巧听话 不催不事♡ 🎀刚破处 体质敏感 易湿会吸娇喘 #上城区
⚠️ 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
杭州07年167C娜娜子🏠#H486 #拱墅 纯欲学生 纯新人首开 体验感超棒 燕燕成都妹妹 🦄千载难逢的顶级甜美型女孩~ 上海戏剧学院学生 🎀本人没有一丝风尘气 🧚♀️真实兼职 第一次⬇️💦 🌼亭亭玉立 千娇百媚 🍒气质清纯优雅 楚楚动人 🍭不施粉黛轻娥眉 淡妆素裹总相宜 🌸Age/年龄:07 🌸𝐇𝐞𝐢𝐠𝐡𝐭/身高:167 🌸𝐁𝐮𝐬𝐭/胸围:🐻C #苏
杭州08年168D娜娜子🏠#H151 #西湖 软软 清纯甜美前凸后翘初恋女友 • 皮肤白嫩 卡哇伊 无纹身 HEIGHT身高:168体重90斤 AGE年龄:08年 Bust:D 俏皮无辜小鹿眼 干净透亮肌 眉眼盈盈 楚楚动人 眼睛水汪汪 可舌吻可69 bb会夹紧 有概率潮吹 南方小软妹 哥哥抱起来干~无敌南方小嗲妹,叫声酥到骨头里 自备黑丝白丝 粉红色ru头,可遇不可求 上下全都超级粉嫩 多汁~欢迎榨干 #淼
杭州03年168C娜娜子🏠#H693 #西湖 大四毕业生 •Heiget. 168 •Weight. 43Kg •Bust. 🐻C •Age. 03 大四毕业了,开始社会的体验,预言家说刚出校门的学生冲洗会有好运。比较听话🉑✌️ 🉑💋 🉑69,无纹身,腰细,翘臀,脚好看 #车
⚠️ 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
杭州05年168C娜娜子🏠#H507 #拱墅 播音主持人 🎀千载难逢的顶级纯欲型女孩~ 🎀本人没有一丝风尘气 🎀真实兼职 第一次⬇️💦 🎀亭亭玉立 千娇百媚 🎀气质清纯优雅 楚楚动人 🎀不施粉黛轻娥眉 淡妆素裹总相宜 🎀真诚相待 全身雪白发光 三点粉嫩 0整所见皆所得💗 🌸Age/年龄:05 🌸𝐇𝐞𝐢𝐠𝐡𝐭/身高:168 🌸𝐖𝐞𝐢𝐠𝐡𝐭/体重:95 🌸𝐁𝐮𝐬𝐭/胸围:真胸c #涵
杭州173E娜娜子🏠#H507 #拱墅 💗极品大🐻🍐型身材💗 💗全程主动 极致体验💗 💗肤白貌美 纵享丝滑💗 💗身高173E 超级大🐻💗 💗亲摸不躲 热情似火💗 🎀体质敏感 易湿会吸娇喘 🎀服务好到💥 👅灵活有特技 🎀主动配合100% 自动摇摇机 榨汁机 🍹 主动口 主动求干 爱爱叫声超甜🥰 🉑口爆,可深喉,可🐍吻,可69, 可🚗震,可户外,🉑双飞,🉑外国人 🉑巨吊,🉑🪂,🉑🍺,🉑✌️ #涵
杭州168C娜娜子🏠#H732 #拱墅 168 🐻c 有纹身 精神小妹 🎀甜度严重超标,想被哥哥抱起来doi 🎀bb紧致粉嫩如chu 🌸💧胸型超级酥软 前凸后翘三点粉 🌸性格超温柔体贴可爱 🍓双商高 乖巧听话 不催不事♡ #晓
Showing the 12 most recent of 45 posts we hold for @lolo0880. 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.
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.
@aabbaac1 · 216,83911 posts爱媛传媒🌍外围导航入口
@Aiyuan688 · 11,97211 posts爱媛传媒交友俱乐部🌍活动与评价
@CDYDT88 · 5,72111 posts杭州中圈❗️杭州上門❗️杭州外圍❗️杭州學生
@cy9818_wuhana0 · 3,18511 posts爱媛传媒🌍包养伴游/学生包养导航
@DMWW999 · 9,86411 posts杭州外围❗️杭州包养❗️杭州上门❗️杭州学生会
@lo080_mitao170 · 35,19511 posts【上城】杭州上门💃杭州学生部分展示区
@loo88008 · 4,47611 posts【滨江】杭州上门💃杭州外围部分展示区
@OLOL80 · 3,38411 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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“【拱墅】杭州上门💃杭州外围部分展示区” (@lolo0880), 11,976 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/lolo0880.
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.