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Channel

杭州外围❗️杭州包养❗️杭州上门❗️杭州学生会

@lo080_mitao170

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

35,794subscribers

+27,591 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-1001404576145
TypeChannel
Username@lo080_mitao170
CreatedBetween 1 January 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 October 2026
Measurements held52
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/lo080_mitao170

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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

8,20336,07422,138.57 August 2026 — 8,203 subscribers7 August 2026 — 8,204 subscribers10 August 2026 — 10,599 subscribers11 August 2026 — 10,598 subscribers12 August 2026 — 10,601 subscribers13 August 2026 — 10,604 subscribers14 August 2026 — 10,554 subscribers16 August 2026 — 10,516 subscribers17 August 2026 — 10,506 subscribers18 August 2026 — 10,503 subscribers19 August 2026 — 10,493 subscribers20 August 2026 — 10,486 subscribers21 August 2026 — 10,468 subscribers23 August 2026 — 10,451 subscribers24 August 2026 — 10,434 subscribers25 August 2026 — 10,411 subscribers26 August 2026 — 10,396 subscribers27 August 2026 — 10,390 subscribers28 August 2026 — 10,380 subscribers29 August 2026 — 11,174 subscribers30 August 2026 — 11,163 subscribers31 August 2026 — 11,158 subscribers1 September 2026 — 11,809 subscribers2 September 2026 — 11,600 subscribers3 September 2026 — 11,581 subscribers5 September 2026 — 11,962 subscribers8 September 2026 — 14,763 subscribers11 September 2026 — 16,309 subscribers13 September 2026 — 17,186 subscribers15 September 2026 — 19,011 subscribers16 September 2026 — 19,916 subscribers19 September 2026 — 19,894 subscribers25 September 2026 — 19,880 subscribers4 October 2026 — 19,833 subscribers8 October 2026 — 23,922 subscribers13 October 2026 — 26,954 subscribers14 October 2026 — 27,987 subscribers15 October 2026 — 32,121 subscribers16 October 2026 — 33,090 subscribers17 October 2026 — 36,074 subscribers18 October 2026 — 36,059 subscribers19 October 2026 — 36,038 subscribers20 October 2026 — 36,028 subscribers21 October 2026 — 36,003 subscribers22 October 2026 — 35,947 subscribers23 October 2026 — 35,933 subscribers24 October 2026 — 35,899 subscribers25 October 2026 — 35,886 subscribers26 October 2026 — 35,871 subscribers27 October 2026 — 35,849 subscribers27 October 2026 — 35,840 subscribers29 October 2026 — 35,794 subscribers35,7947 August 202629 October 2026
52 measurements spanning 82 days, net +27,591. 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 4,022–40,255 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)SubscribersChange
29 Oct 2026, 02:5635,794-46
27 Oct 2026, 22:1935,840-9
27 Oct 2026, 01:1035,849-22
26 Oct 2026, 04:2735,871-15
25 Oct 2026, 06:2735,886-13
24 Oct 2026, 07:1635,899-34
23 Oct 2026, 09:3835,933-14
22 Oct 2026, 12:5135,947-56
21 Oct 2026, 04:3836,003-25
20 Oct 2026, 03:0436,028-10
19 Oct 2026, 04:5736,038-21
18 Oct 2026, 04:5136,059-15
17 Oct 2026, 05:4636,074+2,984
16 Oct 2026, 07:3533,090+969
15 Oct 2026, 09:1632,121+4,134
14 Oct 2026, 12:1827,987+1,033
13 Oct 2026, 02:4526,954+3,032
8 Oct 2026, 18:5623,922+4,089
4 Oct 2026, 08:0019,833-47
25 Sept 2026, 15:2119,880first reading

Engagement

84 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 78 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.274%
avg views ÷ 35,794 subscribers
Avg views / post
98.1
35 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
35
of 84 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 27 October 2026
Posts held84 (6 August 2026 – 27 October 2026)
Views total3,434
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Oct 2026, 16:38 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
≈3,590
Videos
≈1,120
Links
≈319

Lifetime counters from Telegram’s own channel header, read 29 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
9m 49s
Average length
10s

Measured directly from 59 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

27 Oct 2026, 07:23 UTC76 viewsread 29 October 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

27 Oct 2026, 06:52 UTC70 viewsread 29 October 2026
Photo

杭州🦜硬5 菲儿 新人墨尔本留学生 176D纯欲白 天然脸 短暂游玩🐝

27 Oct 2026, 06:52 UTC52 viewsread 29 October 2026
Photo

杭州顶美 家5外W 可可 #萧山 Age:06年 🐻E 身高:170 体重:45kg ✨明朗干净 配合度高 💞💞美丽在线🍑雪白牛奶🥛肌. 🦋皮肤超細膩 白皙滑嫩 🌟 🔥声音甜美 🉑日语叫c 所见即所得 🍭🈵️🈵️女友感 初恋白月光 极品女友体验 ❤甜美精致 性格脾气好 温柔 无纹身 懂事 玩得开🉑69🉑🐍💋 情商高🥰 日本留学生

27 Oct 2026, 06:52 UTC44 viewsread 29 October 2026
Photo

Shangha#上城硬5 🦜 纯欲天花板 • She's adorable!• 172 48kg 🐻D北京舞蹈学院 • 谈吐优雅大方 高学历高素质 可现场一字马 • 可甜可御 皮肤白 蜜桃臀 低素质勿扰🦜 #清纯

24 Oct 2026, 07:27 UTC85 viewsread 27 October 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

24 Oct 2026, 06:59 UTC83 viewsread 27 October 2026
Photo

拱墅 硬五🦜 校花 𝐇𝐞𝐢𝐠𝐡𝐭 172 • 𝐖𝐞𝐢𝐠𝐡𝐭 48kg • 𝐁𝐮𝐬𝐭 C • 𝐀𝐠𝐞 真实06 🦋敏感体质一碰就出水 所见即所得 🦋真实首次下氵 纯新人 🦋蜜桃臀+细腰+真🐻C 🦋绝佳视觉享受bb紧致粉嫩如chu 🦋声音非常舒软,说话天然嗲音 杭州外围 杭州学生 杭州上门

24 Oct 2026, 06:48 UTC65 viewsread 27 October 2026
Photo

杭州01年175E娜娜子🏠#H624 #只外出 硬五🦜 主播 Height净身高♠175 •Bust 胸围♥E •Age年龄♣25 •Weight 体重♦101 高学历在读研究生, 0整容0纹身 短暂兼职,只接高素质

24 Oct 2026, 06:48 UTC54 viewsread 27 October 2026
Photo

杭州05年172D娜娜子🏠#H617 #只外出 硬五🦜 醇欲 05·172·45 川音舞蹈系毕业生 支持与课视频通话,真资料 无整容皮肤雪白 不抽烟 无纹身 笑起来有虎牙 第一次见课 她属于干净清爽型女生 很温柔全 #YUXI

21 Oct 2026, 10:21 UTC124 viewsread 24 October 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

21 Oct 2026, 09:02 UTC114 viewsread 24 October 2026
Photo

杭州04年173D娜娜子🏠#H361 #滨江 硬五 🦜 硬W短开 173纯欲女神 在读大学生 品学兼优 04年 🐻D+ 皮肤雪白 0瑕疵 精致纯欲 前凸后翘 蜜桃臀 会舞蹈功底 柔韧度极好 江南妹子 #利

21 Oct 2026, 09:02 UTC84 viewsread 24 October 2026
Photo

杭州07年170D娜娜子🏠#H284 #西湖 硬五🦜 留学兼职生 网红博主ꔛ ꕤ ❞ • 硬五W🔝💌 • 冷白皮 全身雪白 上粉下粉皮肤白 • 170cm / 07年/ 🐻D➕/90斤 学生妹 娃娃脸纯欲小白兔🐰 • 初恋女友感 皮肤巨雪白🥛肌肤 筷子🥢腿 • 无纹身 🉑69 🐍吻 只见素质课 乖乖女 气质女生 神似杨采钰 章若楠 给人一种想保护的感觉 只接素质k 只接素质k 善大 #猫

Showing the 12 most recent of 84 posts we hold for @lo080_mitao170. 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 6 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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“杭州外围❗️杭州包养❗️杭州上门❗️杭州学生会” (@lo080_mitao170), 35,794 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/lo080_mitao170.

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.