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Channel

北京茗香阁 北京修车 北京外围

@beijingai

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

21,708subscribers

-334 since we began measuring on 29 August 2026

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

Register entry

Telegram ID-1001511479355
TypeChannel
Username@beijingai
Description如果您是商务人士,建议您选择茗香阁,茗香阁将严格保护您的隐私;如果您是出差人士建议您选择茗香阁,茗香阁不会让仙人跳不安全在此出现;如果您是品质人士,建议您选择茗香阁,茗香阁保证质量保证服务,
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live4 November 2026
Measurements held36
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/beijingai

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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

21,20025,73023,46529 August 2026 — 22,042 subscribers30 August 2026 — 22,022 subscribers31 August 2026 — 22,004 subscribers1 September 2026 — 21,965 subscribers3 September 2026 — 21,904 subscribers4 September 2026 — 21,840 subscribers6 September 2026 — 21,724 subscribers10 September 2026 — 21,654 subscribers12 September 2026 — 21,552 subscribers14 September 2026 — 21,483 subscribers15 September 2026 — 21,429 subscribers17 September 2026 — 21,396 subscribers27 September 2026 — 21,262 subscribers4 October 2026 — 21,243 subscribers9 October 2026 — 21,200 subscribers13 October 2026 — 22,788 subscribers14 October 2026 — 24,771 subscribers15 October 2026 — 24,749 subscribers16 October 2026 — 25,730 subscribers17 October 2026 — 25,728 subscribers18 October 2026 — 25,710 subscribers19 October 2026 — 25,682 subscribers20 October 2026 — 25,653 subscribers21 October 2026 — 25,642 subscribers23 October 2026 — 25,602 subscribers24 October 2026 — 25,577 subscribers24 October 2026 — 24,973 subscribers25 October 2026 — 24,828 subscribers26 October 2026 — 24,826 subscribers29 October 2026 — 24,804 subscribers30 October 2026 — 24,783 subscribers31 October 2026 — 24,769 subscribers1 November 2026 — 24,564 subscribers2 November 2026 — 21,704 subscribers3 November 2026 — 21,705 subscribers4 November 2026 — 21,708 subscribers21,70829 August 20264 November 2026
36 measurements spanning 66 days, net -334. 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 20,521–26,410 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
4 Nov 2026, 04:0021,708+3
3 Nov 2026, 06:3021,705+1
2 Nov 2026, 04:5921,704-2,860
1 Nov 2026, 01:5824,564-205
31 Oct 2026, 01:4024,769-14
30 Oct 2026, 02:3724,783-21
29 Oct 2026, 03:1924,804-22
26 Oct 2026, 23:2624,826-2
25 Oct 2026, 21:4624,828-145
24 Oct 2026, 23:3524,973-604
24 Oct 2026, 00:5125,577-25
23 Oct 2026, 00:1125,602-40
21 Oct 2026, 22:5725,642-11
20 Oct 2026, 17:5025,653-29
19 Oct 2026, 15:4425,682-28
18 Oct 2026, 15:0625,710-18
17 Oct 2026, 15:1525,728-2
16 Oct 2026, 12:5625,730+981
15 Oct 2026, 15:5824,749-22
14 Oct 2026, 18:3624,771first reading

Engagement

34 posts held, back to 25 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 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.36%
avg views ÷ 21,708 subscribers
Avg views / post
295
26 posts measured
Reaction rate
0.334%
reactions ÷ views · ER floor
Posts in window
26
of 34 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 7 of 26 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 2 November 2026
Posts held34 (25 August 2026 – 2 November 2026)
Views total7,660
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 02:40 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
≈2,130
Videos
≈984
Links
≈455

Lifetime counters from Telegram’s own channel header, read 5 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 39s
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.

Reaction mix

9 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9100.0%

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 10 of the 34 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 25 August 2026 to 2 November 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

Telegram’s own ‘edited’ marker: 0 of 26 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

2 Nov 2026, 10:03 UTC328 viewsread 5 November 2026
Photo

#北京 #朝阳公园 #碧湖居 #B101 #江彦希 北京土著 2002年🐣 Height:176 Bust:D Hobby:滑雪⛷.健身🏋🏻‍♀️.羽毛球🏸.骑行🚲.旅游🤹🏻‍♀️. 性感辣妹.真实生活照 在读中央财经大学.有学生证可以看. ❣️天然白🐯紧致私处 ❣️会允吸 ❣️风骚冷艳御姐 。🛏上让你欲罢不能。 真实生活照。🈲🐱 小腿没有鲤鱼纹身一律是🐱 低素质客户勿扰✂️ 茶费:3K 会员2.5K 客服: t.me/vq5754512

1 Nov 2026, 13:16 UTC365 viewsread 5 November 2026
Photo

#北京 #朝阳 #朝阳青年路 #天鹅湾 #E96 ⛳️ #若羽 刚分手封心锁爱下海 短期兼职 身高163 D 04年 美术生 南方女孩 不抽烟 无纹身 皮肤雪白细腻 小骨架 0整容 真🐻不风尘有耐心可跟课视频 可素颜上课 可随意指定验证 可英文沟通。性格超好 初恋女友感 茶费:3K 会员2.5K 客服: t.me/vq5754512

1 Nov 2026, 13:08 UTC302 viewsread 5 November 2026
Photo

#北京 #朝阳国贸 #蓝堡国 #若琳 皮肤透白亮的发光 平拍model 真正的漫画身材 🦵细长直 •Height身高/170 •Bust胸围/E •04年 高情商 高素质 颜值在线 •爱好瑜伽 普拉提 钢琴 旅游 模特兼职 🈚️纹身🈚️不良 高颜值 高素质 风趣 性格好 体贴 待客如男友 🤍你的私人极品尤物 兼职请提前预约, 茶费:3K 会员2.5K 客服: t.me/vq5754512

28 Oct 2026, 14:55 UTC347 viewsread 31 October 2026
Photo

#北京 #朝阳双井 #富力城 #梦雅 #F95 168E 饱满傲人身材 极品气质 皮肤光滑雪白细腻 ❤️真实实体老板娘 偶尔兼职 ❤️热爱健身 蜜汁翘🍑 温柔体贴有涵养 性感可爱集于一身 #欧美 #健身 #大胸 茶费:3K 会员2.5K 客服: t.me/vq5754512

28 Oct 2026, 14:54 UTC309 viewsread 31 October 2026
Photo

#北京 #朝阳 #东风苑小区5号院 #夏晗 #D78 兼职开 山东人 •Heiget. 168 •Weight. 45Kg •Bust. D •Age. 00 A4腰 无纹身 甜美 听话乖巧 配合度高 情趣 🎬🎬真人真照可验证 茶费:3K 会员2.5K 客服: t.me/vq5754512

28 Oct 2026, 14:53 UTC274 viewsread 31 October 2026
Photo

#北京 #朝阳百子湾 #广华新城 #赵赵 #外5 #空姐 🏠 178D 青岛航空✈️✈️ 🏠3外5 北京 青岛航空空姐 极致温柔配合度超高 纯天然无整 性格超级好 筷子腿 蜜桃屯 皮肤雪白 光滑细腻 • 𝐇𝐞𝐢𝐠𝐡𝐭身高/178 • 𝐖𝐞𝐢𝐠𝐡𝐭体重/52kg • 𝐁𝐮𝐬𝐭胸围/真D 完美身材比例 风骚妩媚 主动热情 有qing趣 黑丝 👠制服 69 茶费:3K 会员2.5K 【外五】 客服: t.me/vq5754512

25 Oct 2026, 07:21 UTC287 viewsread 28 October 2026
Photo

#北京 #朝阳 #首开铂郡北区 #馨儿 纯欲天花板 学生兼职 身高167 年龄03 胸围34D 专治各种挑K 实力碧玺 小巧玲珑 温柔可爱 南方人 时尚洋气 小蛮腰 筷子腿 茶费:3K 会员2.5K 客服: t.me/vq5754512

23 Oct 2026, 10:54 UTC421 viewsread 28 October 2026
Photo

#北京 #朝阳十里堡 #公园1872 #江诗月 #好评 极品 碧玺网红气质款 平面模特 舞蹈兼职老师(🉑现场一字马) 🦜质量暂开3 身高:174cm. 体重: 43kg. 年龄:03年. 胸🐻:C罩 筷子腿 A4腰 全身肌肤雪白🌨 前凸后翘蜜桃臀 初恋般体验 不催不翘 乖巧温柔 #大长腿 #御姐 #舞蹈 #一字马 #69舌吻 #代开 #无纹身 茶费:3K 会员2.5 客服: t.me/vq5754512

23 Oct 2026, 10:39 UTC331 viewsread 28 October 2026
Photo

#北京 #朝阳双井 #富力城 #梦雅 #F95 168E 饱满傲人身材 极品气质 皮肤光滑雪白细腻 ❤️真实实体老板娘 偶尔兼职 ❤️热爱健身 蜜汁翘🍑 温柔体贴有涵养 性感可爱集于一身 #欧美 #健身 #大胸 茶费:3K 会员2.5K 客服: t.me/vq5754512

23 Oct 2026, 10:38 UTC146 viewsread 24 October 2026
Photo

#北京 #朝阳 #东风苑小区5号院 #夏晗 #D78 兼职开 山东人 •Heiget. 168 •Weight. 45Kg •Bust. D •Age. 00 A4腰 无纹身 甜美 听话乖巧 配合度高 情趣 🎬🎬真人真照可验证 茶费:3K 会员2.5K 客服: t.me/vq5754512

21 Oct 2026, 15:11 UTC252 views2 reactionsread 23 October 2026
Photo

#北京 #朝阳 #乐成豪丽 #G89 身高:165cm 👙:C 年龄:00后 体重:80斤 清纯瘦小类型,筷子腿,蚂蚁腰 喜丰满勿扰 性格好,不事 #白小纯 #清纯 #希子 茶费:3K 会员2.5K 客服: t.me/vq5754512

❤2

20 Oct 2026, 12:05 UTC374 viewsread 23 October 2026
Photo

#北京 #朝阳大悦城 #徐梦瑶 🏠短期兼职人妻 北京同仁医院在职医生 兼职短开 真实人妻 少妇 初下水 短期开 保真随便验证 河北人 北京户口 高端时尚 94年。身高169。体重92。C罩 特别瘦。喜胖勿扰 茶费:3K 会员2.5K 客服: t.me/vq5754512

Showing the 12 most recent of 34 posts we hold for @beijingai. 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 2 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“北京茗香阁 北京修车 北京外围” (@beijingai), 21,708 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/beijingai.

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.