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Channel

广州连胜公开榜

@aotmtuijb

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

23,559subscribers

-709 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-1002003390357
TypeChannel
Username@aotmtuijb
CreatedBetween 1 November 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/aotmtuijb

Topic

Other / unclassifiable — 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 93% 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

23,55924,26823,913.57 August 2026 — 24,268 subscribers8 August 2026 — 24,261 subscribers9 August 2026 — 24,228 subscribers10 August 2026 — 24,161 subscribers11 August 2026 — 24,152 subscribers12 August 2026 — 24,127 subscribers13 August 2026 — 24,041 subscribers14 August 2026 — 24,055 subscribers16 August 2026 — 24,057 subscribers17 August 2026 — 23,952 subscribers18 August 2026 — 23,770 subscribers19 August 2026 — 23,715 subscribers20 August 2026 — 23,716 subscribers21 August 2026 — 23,724 subscribers23 August 2026 — 23,710 subscribers25 August 2026 — 23,716 subscribers26 August 2026 — 23,695 subscribers26 August 2026 — 23,699 subscribers28 August 2026 — 23,732 subscribers29 August 2026 — 23,743 subscribers29 August 2026 — 23,735 subscribers30 August 2026 — 23,720 subscribers1 September 2026 — 23,645 subscribers2 September 2026 — 23,624 subscribers3 September 2026 — 23,598 subscribers5 September 2026 — 23,606 subscribers8 September 2026 — 23,604 subscribers11 September 2026 — 23,603 subscribers13 September 2026 — 23,564 subscribers14 September 2026 — 23,559 subscribers16 September 2026 — 23,589 subscribers19 September 2026 — 23,559 subscribers7 August 202619 September 2026
32 measurements spanning 43 days, net -709. 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 23,453–24,374 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 04:2123,559-30
16 Sept 2026, 15:5523,589+30
14 Sept 2026, 17:5723,559-5
13 Sept 2026, 01:4223,564-39
11 Sept 2026, 02:4023,603-1
8 Sept 2026, 06:1523,604-2
5 Sept 2026, 04:3723,606+8
3 Sept 2026, 09:1323,598-26
2 Sept 2026, 01:1523,624-21
1 Sept 2026, 00:1323,645-75
30 Aug 2026, 21:0323,720-15
29 Aug 2026, 21:4923,735-8
29 Aug 2026, 00:3323,743+11
28 Aug 2026, 02:4323,732+33
26 Aug 2026, 23:2523,699+4
26 Aug 2026, 02:2523,695-21
25 Aug 2026, 02:0423,716+6
23 Aug 2026, 14:5423,710-14
21 Aug 2026, 23:4723,724+8
20 Aug 2026, 19:4823,716first reading

Engagement

71 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.93%
avg views ÷ 23,559 subscribers
Avg views / post
454
30 posts measured
Reaction rate
0.21%
reactions ÷ views · ER floor
Posts in window
30
of 71 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 10 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 3 September 2026
Posts held71 (6 August 20263 September 2026)
Views total13,618
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 14:40 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

Video runtime
1m 33s
Average length
8s

Measured directly from 11 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

29 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 55.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1655.2%
👍620.7%
💩310.3%
👏26.90%
🔥26.90%

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 18 of the 71 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 71 most recent posts we hold, published 6 August 2026 to 3 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

3 Sept 2026, 14:15 UTC59 viewsread 3 September 2026
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🥰#番禺首家瑶浴【热榜大场】 #番禺 #瑶浴 #鸳鸯浴 #会所 #口爆97 #市桥 #水汇 #番禺广场 本店环境高档,技师超高颜值,服务都是通过严格培训后才会上岗,主打质量与服务,打造广州97天花板。 ⭐店内免费提供:停车 过夜 自助餐 点餐 水果饮料 干蒸汗蒸 桌球室 棋牌室 单人VIP包房过夜 还有商务接待VIP多人包房留宿 💎项目价格: 网红A牌769——70分钟👄 超模S牌869——70分钟👄👄 📱📱📱📱🔣2️⃣0️⃣🔣3️⃣0️⃣ 不同牌位技师区别于 年龄 颜值 身材 💌部长 电报: @ih0522 💌水汇 频道: @ih3644 💌机器人: @xiaofeiyi_bot 🔑部长 微信:ih0082 💌部长 电话:15679507062 ✂️部长 Q Q:3156834251 番禺广场附近)具体位置联系部长)

2 Sept 2026, 13:29 UTC316 viewsread 3 September 2026
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🥰广州白云首家温泉泡澡水汇 金海湾国际97会所(情趣制服换装) #白云区 #新市 #三元里 #金沙洲 #水汇 #制服 #丝袜 #97场 #口吹 #磨棒 #毒龙 #学生装 #护士装 全程 #90分钟 时间不到服务不停 S牌----898(70分钟不限) A牌-----798(80分钟不限) S牌超长时间90分钟不限水:948 A牌超短时间60分钟仅一水:753 👉A牌95后👉S牌00后(真实) 部长 电报: @byjqb 部长 微信: mg9792088 部长 微信: kzww222 部长 电话: 18613183641 水汇频道👉技师测评👉个体兼职 🔥特色重点: 特色情趣换装97玩法,店里很多情趣制服,学生装扮、护士装扮、以及超级热门的秘书OL装扮,玩法多样,各种丝袜都有。毒龙、磨棒、冰火两重天、黑丝足交、69式吹、倒立吹、饿狼跪式吹、猛虎快速吹、狗爬站立吹,每样齐全,技师绝不偷钟。

2 Sept 2026, 12:35 UTC275 views3 reactionsread 3 September 2026
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🔈🫠🫠🫠白云嘉禾首家海选水汇 🥰广州鼎悦国际97水汇【3选1】 👠 #海选 #质量场 #莞式 #97场 📍#嘉禾 #龙归 #黄边 #江夏 #人和 🫠🫠🫠🫠 🫠🫠🫠🫠 🔸白云嘉禾首家海选97水汇 🔸独家皇室选妃3选1模式! 🔸每日在岗技师70~80位 🔸S牌都是嫩妹真实00~05后 🔸到店看不上不满意 免门票 🔣频道介绍🔣 🔣技师反馈🔣 【价格】💸 688起(80分钟无限次) 【联系方式】 电报: @qqs97 双向: @qqs97bot 微信:cls25836 微信:CLS278780 电话:13014870798 📍广州市白云区嘉禾望岗(具体位置询问部长)

1👍1🔥1

2 Sept 2026, 01:50 UTC571 views2 reactionsread 3 September 2026
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2

1 Sept 2026, 08:10 UTC456 views2 reactionsread 3 September 2026
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😃😃😃广州花都顶级水疗 广州花都全新大型豪华会所 🫦花都豪华第一🫦 全场多位公主佳丽,本店主打🖥🖥后嫩妹为主,现场挑选满意为止情绪价值拉满,高颜值高尺度玩法多技师全,自助餐免费停车 营业时间:中午12点-凌晨5点 原价569预约价469 ⏰时间80分钟无限出水 免费娱乐设施:💎免费停车场💎台球桌💎休息区💎过夜留宿💎汗蒸💎自助餐💎饮料💎水果💎k歌 全场优质妹妹欢迎打假,全场明码标价无办卡无套路不上门 😕经理 电报: @mmnn697 😕经理 微信: a07b133 😕双向 联系: @qqzxx333Bot 😕会所 频道: @ccc678cc 😕会所 群聊: @CC360CC 😕选妃 频道: @ccc709 😕店长 电话: 19727574324 😕全场妹子18至28岁放心出击 😕到店报预约号😀😀😃😃

1👍1

1 Sept 2026, 07:20 UTC436 viewsread 3 September 2026
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#广州 #天河 #车陂地铁口 #DY轻奢mmk会所 (100%包🐍场) ✏️常规94调情 (参考课表图) ✏️包含👅🍳🍌5分钟以上 ✏️全员🐍吻+下🍎69 💯 有求必应 ✏️特色mmk女友角色代入体验 ✏️免费停车 简餐 留宿过夜 😐 项目最低价428元起(70分钟) ❤️ 电报: @yzllj77 (辣辣酱) 🤖 双向机器人 @wuk1688_bot 😵 电话: 19515280082(微信同步) 😵 电话: 17502039394(微信同步) 🐟 与你: wuyy0082 (无忧) 💌💌群聊 💌💌相册 💌💌报告

1 Sept 2026, 05:43 UTC327 viewsread 2 September 2026
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地址: #越秀 艺名: #小可爱 课表: #600p 1100pp 电报: @tiantian3629 频道: t.me/tiantian304818 标签: #美颜 #舌吻 #69p #御姐 备注: 约后请在下方评论反馈 好评 好评1 好评2 ----------------------------------- ✏️报告模版 📩提交报告 🔈广州连胜

31 Aug 2026, 14:11 UTC424 viewsread 2 September 2026
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请前十六名人员私聊小光提交荣耀称号! 小光 @XIAOGUANGBot 提交格式👇 1.连胜称号: 我不是欧皇 2.回归暗号: 蟹黄堡是小灰机 3.现用户名: @ctyyya

31 Aug 2026, 12:51 UTC185 viewsread 1 September 2026
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地址: #澳门 #日本 #大阪 店名: #澳门桑拿 课表: #看图片介绍 电报: @Beijing_shuimo1 双向: @LeoMacausaunaBot 频道: t.me/MacauLeoSauna 大阪外卖: @LeoJanpan 标签: #会所 #98场 #日本 #欧洲 #av女优 🧧粉丝福利🧧 全澳门埃尔法免费接送✅ 悍马PLUS🍬免费送(增大增硬延时) 现金优惠✅ 免费餐饮✅ 免费过夜✅ 免费送按摩师傅工✅ 优惠信息💰:每位优惠1000,都送2个师傅工(每个20分钟),全澳门免费接送,免费送澳门糖🍬(增硬延时)。

31 Aug 2026, 12:49 UTC176 viewsread 1 September 2026
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#广佛全程上门90分钟两次 #中介 修车费 #1200-2000pp 广州佛山工作室系列 修车费1000起 ❗️请尽量提前一天预约,妹妹比较受欢迎,临时约可能约不到❗️ ☎️🔥联系客服: @xiaoaiaimm ☎️ 双向联系: @Xiaoaizhushoubot ☎️选妃频道: @XIAOAILS9

29 Aug 2026, 10:21 UTC655 views1 reactionsread 1 September 2026
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地址: #荔湾 艺名: #七七 课表: #600p #1000pp 电报: @uuunn87 频道: t.me/uuunn678 标签: #艺术 #深喉 #御姐 备注: 约后请在下方评论反馈 -------------------------------- ✏️报告模版 📩提交报告 🔈广州连胜

1

Showing the 12 most recent of 71 posts we hold for @aotmtuijb. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 11 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“广州连胜公开榜” (@aotmtuijb), 23,559 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/aotmtuijb.

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.