Telegram RegisterThe public register of Telegram
Telegram profile photo for 广州连胜娱乐榜

Channel

广州连胜娱乐榜

@aotmtuijb

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

23,619subscribers

-649 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广州娱乐榜,上榜请联系: @XIAOGUANGBot 广州出击群: @GZLB2 备用群 @LBBYOD
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@GZXCLBSLB/2073912 Aug 2026, 02:43 UTC@aotmtuijb/11417 · this entry12 Aug 2026, 02:43 UTC1.00under a minute
@aotmtuijb/11461 · this entry12 Aug 2026, 12:06 UTC@GZXCLBSLB/2075912 Aug 2026, 12:06 UTC1.00under a minute
@aotmtuijb/11522 · this entry14 Aug 2026, 14:27 UTC@GZXCLBSLB/2082014 Aug 2026, 14:28 UTC1.00under a minute
@aotmtuijb/11783 · this entry27 Aug 2026, 07:49 UTC@GZXCLBSLB/2103627 Aug 2026, 07:49 UTC1.00under a minute
@aotmtuijb/11864 · this entry1 Sept 2026, 08:10 UTC@GZXCLBSLB/211381 Sept 2026, 08:10 UTC1.00under a minute
@aotmtuijb/12842 · this entry14 Oct 2026, 11:54 UTC@GZXCLBSLB/2202514 Oct 2026, 11:55 UTC1.0072 seconds
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@GZXCLBSLB40 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (31–9)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 122 comparable posts for this entry, running 6 August 2026 to 9 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @aotmtuijb — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

23,35424,26823,81123,6197 August 202611 November 2026
63 measurements spanning 96 days, net -649. 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 63
Measured (UTC)SubscribersChange
11 Nov 2026, 06:5123,619-46
9 Nov 2026, 10:5823,665-112
7 Nov 2026, 23:1023,777-68
6 Nov 2026, 23:3923,845+18
5 Nov 2026, 21:1123,827-11
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, 13:1623,648first reading

Engagement

156 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 153 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.76%
avg views ÷ 23,619 subscribers
Avg views / post
415
38 posts measured
Reaction rate
0.201%
reactions ÷ views · ER floor
Posts in window
38
of 156 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 12 of 38 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 9 November 2026
Posts held156 (6 August 2026 – 9 November 2026)
Views total15,779
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:19 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
801
Videos
52
Links
142

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
5m 34s
Average length
10s

Measured directly from 34 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 46 of the 156 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 156 most recent posts we hold, published 6 August 2026 to 9 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: 2 of 38 posts held from the last 30 days (5.26%) 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).

9 Nov 2026, 09:46 UTC107 viewsread 10 November 2026
Photo

🎉🎉🎉 恭喜中奖的逼!大家鼓掌欢呼!!! 抽奖名称:珂珂老师福利抽奖活动 中奖人数:1 抽奖说明:①本次活动由老师本人赞助,有效期7天 ②中奖请私聊 @keke270 ③白嫖 半价优惠券7日内出击写报告,超时拉黑6个月,请各位老师不要抽半价优惠券。 ④优惠券 半价 白嫖券不能以任何理由贩卖,发现永久拉黑 📋 抽奖群组:广州修车连胜 📊 本次抽奖数据: 总参加人数:179 人 总抽奖号数:756 号 🏆 中奖名单: 1. KIT (@HJJkit) - 半价优惠卷p 📋 验证端点:点击验证 💡 任何人可独立验证抽奖公平性 📅 开奖时间:2026/11/09 17:46:04

7 Nov 2026, 09:29 UTC625 viewsread 13 November 2026
Photo

该榜单已合并至公开榜,大家找老师资料请移步: https://t.me/GZXCLBSLB

6 Nov 2026, 11:23 UTC746 views0 reactionsread 13 November 2026
Photo

地址: #全国 #广州 #上门 名称: #大圈 #杰克 #中介 课表: #2500-3000-5500 私聊: @jieke039 双向: @jieke007bot 选妃: https://t.me/jiekecxoc 【营业时间12:00-24:00全天】 需要的老板请提前预订时间和妹子,谢谢!!

6 Nov 2026, 09:42 UTC571 viewsread 13 November 2026
Photo

地址: #天河 艺名: #珂珂 价格: #800p #1500pp 电报: @keke270 频道: t.me/zal271220 状态: #一致 #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 中评 中评1 --------------------------------- ✏️报告模版 📩提交报告 🔈广州连胜

6 Nov 2026, 04:37 UTC549 viewsread 13 November 2026
Photo

地址: #天河 艺名: #喜糖 课表: #800p 1500pp 电报: @XiTang7707 频道: t.me/xitang7708 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好评3好评4好评5好评6好评7好评8好评9好评10好评11好评12好评13

5 Nov 2026, 10:05 UTC678 viewsread 13 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 UTC354 viewsread 6 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 UTC257 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 UTC489 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

Showing the 12 most recent of 156 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 35 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
7 November 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
10

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 14 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“广州连胜娱乐榜” (@aotmtuijb), 23,619 subscribers as measured 11 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.