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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 · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

23,838subscribers

-430 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
Description广州公开榜,上榜请联系: @XIAOGUANGBot 广州出击群: @GZLB2 备用群 @LBBYOD
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 live4 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 4 November 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 the other topics.

Growth

23,35424,26823,8117 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 subscribers25 September 2026 — 23,499 subscribers4 October 2026 — 23,462 subscribers8 October 2026 — 23,354 subscribers13 October 2026 — 23,440 subscribers14 October 2026 — 23,497 subscribers15 October 2026 — 23,486 subscribers16 October 2026 — 23,519 subscribers17 October 2026 — 23,547 subscribers18 October 2026 — 23,566 subscribers19 October 2026 — 23,588 subscribers20 October 2026 — 23,611 subscribers21 October 2026 — 23,648 subscribers22 October 2026 — 23,678 subscribers23 October 2026 — 23,703 subscribers24 October 2026 — 23,742 subscribers25 October 2026 — 23,770 subscribers26 October 2026 — 23,787 subscribers27 October 2026 — 23,795 subscribers28 October 2026 — 23,806 subscribers29 October 2026 — 23,835 subscribers31 October 2026 — 23,859 subscribers31 October 2026 — 23,879 subscribers1 November 2026 — 23,875 subscribers2 November 2026 — 23,826 subscribers3 November 2026 — 23,846 subscribers4 November 2026 — 23,838 subscribers23,8387 August 20264 November 2026
58 measurements spanning 90 days, net -430. 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 23,217–24,405 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
4 Nov 2026, 22:3923,838-8
3 Nov 2026, 21:5623,846+20
2 Nov 2026, 23:0523,826-49
1 Nov 2026, 21:1923,875-4
31 Oct 2026, 21:1723,879+20
31 Oct 2026, 00:1023,859+24
29 Oct 2026, 20:5623,835+29
28 Oct 2026, 20:2923,806+11
27 Oct 2026, 22:3723,795+8
26 Oct 2026, 22:0123,787+17
25 Oct 2026, 19:2823,770+28
24 Oct 2026, 17:4823,742+39
23 Oct 2026, 15:3523,703+25
22 Oct 2026, 17:1623,678+30
21 Oct 2026, 13:1623,648+37
20 Oct 2026, 09:5523,611+23
19 Oct 2026, 12:2123,588+22
18 Oct 2026, 10:5623,566+19
17 Oct 2026, 14:2823,547+28
16 Oct 2026, 15:0523,519first reading

Engagement

150 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 135 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.35%
avg views ÷ 23,838 subscribers
Avg views / post
321
59 posts measured
Reaction rate
0.357%
reactions ÷ views · ER floor
Posts in window
59
of 150 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 18 of 59 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 5 November 2026
Posts held150 (6 August 2026 – 5 November 2026)
Views total18,952
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 10:43 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
≈1,080
Videos
≈64
Links
≈192

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
5m 25s
Average length
10s

Measured directly from 33 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

65 reactions across 35 posts, in 5 distinct kinds. The most used accounts for 67.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4467.7%
👍1015.4%
👏46.15%
🔥46.15%
💩34.62%

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 45 of the 150 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 6 August 2026 to 5 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: 1 of 59 posts held from the last 30 days (1.69%) 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).

5 Nov 2026, 10:05 UTC31 viewsread 5 November 2026
Photo

地址: #白云 艺名: #泡泡 课表: #700p #1400pp 电报: @paopao88899991 频道: https://t.me/paopao88991 标签: #美颜 #毒龙 #69p #少女 备注: 约后请在下方评论反馈 ---------------------------------

5 Nov 2026, 06:01 UTC138 viewsread 5 November 2026
Photo

地址: #天河 艺名: #乐盈 课表: #600p #1200pp 电报: @ggbbiii 频道: https://t.me/fhufkj 状态: #美颜 #69p #舌吻 #少女 备注: 约后请在下方评论反馈 ------------------------ 好评 好评1好评2好评3好评4好评5好评6好评7 中评 中评1中评2

5 Nov 2026, 05:55 UTC143 viewsread 5 November 2026
Photo

地址: #广州 #佛山 #上门 名称: #问荆 #中介 课表: #1400-2000pp 电报: @Wrd9559 双向: @Wrd9559_bot 选妃: https://t.me/xueermeinu 备注: 所有女孩子都是见到人满意再付款不满意是不收取任何费用的可以免费换 抱着诚信经营客户至上的初衷 细水长流!!

4 Nov 2026, 05:35 UTC415 views2 reactionsread 5 November 2026
Photo

地址: #白云 艺名: #芊芊 课表: #700p #1300pp 电报: @BQian52 频道: https://t.me/qqhg910 标签: #美颜 #舌吻 #69p #少妇 备注: 约后请在下方评论反馈 ---------------------------------- 好评 好评1 好评2 好评3 好评4 好评5 好评6 好评7 好评8 好评9 好评10

❤2

3 Nov 2026, 12:26 UTC396 viewsread 4 November 2026
Photo

地址: #白云 艺名: #沐甜 课表: #700p 1300pp 电报: @Mtianii 频道: https://t.me/Mtianiii 标签: #一致 #舌吻 #69p #嫩妹 备注: 约后请在下方评论反馈 ----------------------------- 好评: 好评30好评31好评32好评33好评34好评35好评36好评37好评38好评39 好评40 好评41

3 Nov 2026, 09:26 UTC425 viewsread 4 November 2026
Photo

地址: #海珠 艺名: #贝贝 课表: #600p #1200pp 电报: @xiaohuya5671 频道: t.me/xiaohuya0101 标签: #一致 #嫩妹 备注: 约后请在下方评论反馈 好评: 好评6 好评6 好评7 好评8 好评9 好评10 好评11 -------------------------- ✏️报告模版 📩提交报告 🔈广州连胜

1 Nov 2026, 07:58 UTC681 views0 reactionsread 4 November 2026
Photo

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)。 澳门承接所有业务,5折酒店、雪茄、奢侈品返点、米其林餐厅折扣、包车等等。 🇯🇵另外还有日本大阪外卖(可拍摄、无🍑等)、东京泡泡浴、高端av女优、越南胡志明等业务,进群查看。

1 Nov 2026, 05:04 UTC658 viewsread 3 November 2026
Photo

地址: #白云 艺名: #啵啵甜崽 课表: #600p #1200pp 电报: @yce1818 频道: https://t.me/yue1919 标签: #美颜 #舌吻 #少女 备注: 约后请在下方评论反馈 ----------------------------- 好评 好评1

1 Nov 2026, 03:11 UTC487 viewsread 3 November 2026
Photo

请前十八私聊小光领取尾巴! 小光 @XIAOGUANGBot ❌小号不要领取 领取格式👇 1.连胜称号: 不想再陪跑了 2.回归暗号: 我是橘子 3.现用户名: @Badal_badal_123

31 Oct 2026, 04:16 UTC663 views1 reactionsread 3 November 2026
Photo

地址: #番禺 艺名: #小溪 课表: #700p #1300pp 电报: @pyxx666 频道: https://t.me/xiaoxiguifang 标签: #艺术 #69p #少妇 备注: 约后请在下方评论反馈 ------------------------ 好评 好评1 中评 中评1

❤1

30 Oct 2026, 10:14 UTC698 views1 reactionsread 2 November 2026
Photo

地址: #海珠 艺名: #可可 课表: #500p #1000pp 电报: @coco17186844819 频道: t.me/hzcoco8888 标签: #美颜 #舌吻 #69p #少妇 备注: 约后请在下方评论反馈 -------------------------------- 好评: 好评9好评10好评11好评12好评13好评14

❤1

Showing the 12 most recent of 150 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.

Posts recorded as deleted after publishing

We recorded 34 posts on @aotmtuijb as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
16

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 13 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.

“广州连胜公开榜” (@aotmtuijb), 23,838 subscribers as measured 4 November 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.