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Channel

全网博彩黑台杀猪盘曝光📬

@AQzx_6

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

93,612subscribers

-10,515 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001643498048
TypeChannel
Username@AQzx_6
Description放眼东南亚-聚焦大事件 大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 PG直播/交流会: @svip2d 商务合作 : @AQzx_0 TRX能量飞机会员源头供应商/兑换群 : @TRXooooo1 自动兑换机器人: @jhstrxbot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/AQzx_6

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 61% 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.

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 word for word on 2 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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
@AQzx_6/56207 · this entry7 Aug 2026, 07:35 UTC@AQzx_3/429897 Aug 2026, 07:39 UTC1.004 minutes
@AQzx_3/429917 Aug 2026, 08:00 UTC@AQzx_6/56209 · this entry7 Aug 2026, 08:00 UTC1.00under a minute
@AQzx_3/429937 Aug 2026, 08:30 UTC@AQzx_6/56221 · this entry7 Aug 2026, 09:15 UTC1.0045 minutes
@AQzx_3/430017 Aug 2026, 09:30 UTC@AQzx_6/56223 · this entry7 Aug 2026, 09:30 UTC1.00under a minute
@AQzx_6/56233 · this entry7 Aug 2026, 12:00 UTC@AQzx_3/430167 Aug 2026, 12:04 UTC1.004 minutes
@AQzx_6/56207 · this entry7 Aug 2026, 07:35 UTC@AQzx_4/433347 Aug 2026, 07:38 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AQzx_35 (5/5 hand-verifiable sample passed)1.002 minutesthis entry (41)
@AQzx_45 (5/5 hand-verifiable sample passed)1.0072 seconds@AQzx_4 (41)

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. 5 of the 5 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 32 comparable posts for this entry, running 6 August 2026 to 7 August 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).

Across the whole group of 5, the earliest publisher we hold is @AQzx_4. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

1 more channel is in this same group but not listed individually here.

Growth

93,498104,12798,812.56 August 2026 — 104,127 subscribers7 August 2026 — 103,811 subscribers8 August 2026 — 103,402 subscribers9 August 2026 — 103,191 subscribers10 August 2026 — 102,915 subscribers11 August 2026 — 102,425 subscribers12 August 2026 — 102,253 subscribers14 August 2026 — 101,678 subscribers15 August 2026 — 101,462 subscribers17 August 2026 — 100,751 subscribers18 August 2026 — 100,297 subscribers19 August 2026 — 99,857 subscribers20 August 2026 — 99,736 subscribers21 August 2026 — 99,657 subscribers23 August 2026 — 99,527 subscribers24 August 2026 — 99,333 subscribers25 August 2026 — 99,142 subscribers26 August 2026 — 98,955 subscribers27 August 2026 — 98,833 subscribers28 August 2026 — 98,645 subscribers29 August 2026 — 98,143 subscribers30 August 2026 — 97,705 subscribers31 August 2026 — 97,466 subscribers1 September 2026 — 97,100 subscribers2 September 2026 — 96,711 subscribers4 September 2026 — 96,528 subscribers6 September 2026 — 96,172 subscribers9 September 2026 — 95,663 subscribers11 September 2026 — 95,013 subscribers13 September 2026 — 94,223 subscribers15 September 2026 — 93,498 subscribers17 September 2026 — 94,028 subscribers19 September 2026 — 93,612 subscribers93,6126 August 202619 September 2026
33 measurements spanning 44 days, net -10,515. 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 91,904–105,721 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 17:3593,612-416
17 Sept 2026, 03:1794,028+530
15 Sept 2026, 07:1993,498-725
13 Sept 2026, 16:3994,223-790
11 Sept 2026, 23:3795,013-650
9 Sept 2026, 13:3595,663-509
6 Sept 2026, 03:0096,172-356
4 Sept 2026, 00:5696,528-183
2 Sept 2026, 15:5396,711-389
1 Sept 2026, 16:2497,100-366
31 Aug 2026, 13:1397,466-239
30 Aug 2026, 10:1197,705-438
29 Aug 2026, 09:5398,143-502
28 Aug 2026, 09:3398,645-188
27 Aug 2026, 09:3398,833-122
26 Aug 2026, 09:3898,955-187
25 Aug 2026, 12:1299,142-191
24 Aug 2026, 14:4299,333-194
23 Aug 2026, 00:5699,527-130
21 Aug 2026, 11:4299,657first reading

Engagement

808 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 103 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.942%
avg views ÷ 93,612 subscribers
Avg views / post
881
455 posts measured
Reaction rate
0.219%
reactions ÷ views · ER floor
Posts in window
455
of 808 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 1 of 455 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 23 September 2026
Posts held808 (6 August 202623 September 2026)
Views total401,056
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 13:49 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
45,800
Videos
4,350
Links
17,500

Lifetime counters from Telegram’s own channel header, read 23 September 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
43m 38s
Average length
10s

Measured directly from 265 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 3 of the 808 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 808 most recent posts we hold, published 6 August 2026 to 23 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

23 Sept 2026, 13:10 UTC498 viewsread 23 September 2026
Video

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23 Sept 2026, 13:05 UTC542 viewsread 23 September 2026
Photo

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23 Sept 2026, 13:05 UTC493 viewsread 23 September 2026
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23 Sept 2026, 13:00 UTC588 viewsread 23 September 2026
Video

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23 Sept 2026, 12:00 UTC751 viewsread 23 September 2026
Video

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23 Sept 2026, 12:00 UTC680 viewsread 23 September 2026
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23 Sept 2026, 11:00 UTC266 viewsread 23 September 2026
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23 Sept 2026, 10:57 UTC266 viewsread 23 September 2026
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23 Sept 2026, 10:57 UTC282 viewsread 23 September 2026
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#网友投稿 #小鱼 外号小鱼,贵州人,此人在柬埔寨呆了好几年,一直从事诈骗拐卖人口,背信弃义之人。借朋友钱不还,外面欠了很多钱,为了个人利益拿公司客户给外面,欠我钱不还,人已失踪,小鱼,我知道你能看见这,希望你尽快与我联系。如有朋友告知其位置,并协助找到人,联系方式同群主要。 📣【阿Q资讯】一键加入👇 https://t.me/addlist/xT17MEtnjjliYjM1 ➡️投稿爆料 :@AQzx_0 ➡️PG直播/交流会:@svip2d

22 Sept 2026, 16:56 UTC328 viewsread 23 September 2026
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#曝光|亚博旗下 #米兰体育 #晴天 拆散部属夫妻 私通他人配偶 群友爆料:任职亚博米兰体育期间,负责人 晴天(5 部 35 组)蓄意将其与妻子分派驻芭提雅、曼谷两地,制造独处机会,进而与其妻发生不正当关系;更安排人员楼上楼下望风掩护,自以为天衣无缝。事件导致家庭破裂、孩子无人照管,当事人愤而发声。 严正要求:涉事人员 “叶子” 立即联系协商解决;否则将整理完整证据向国内主管部门实名举报! #私德败坏难服众 #职场不是猎艳场 #证据留存举报 📣【阿Q资讯】一键加入👇 https://t.me/addlist/xT17MEtnjjliYjM1 ➡️投稿爆料 :@AQzx_0 ➡️PG直播/交流会:@svip2d

22 Sept 2026, 15:00 UTC236 viewsread 23 September 2026
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22 Sept 2026, 14:22 UTC185 viewsread 23 September 2026
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#避雷|#UU1.VIP:双重流水卡死出款 充 100 送 58,提现需打本金 3 倍 + 彩金 3 倍流水,且仅限电子游戏、排除免费玩法 —— 门槛虚高、出款受限,实为只许输不许赢!别充值、别加码,扩散远离! #UU1避雷 #黑平台 #流水圈套 📣【阿Q资讯】一键加入👇 https://t.me/addlist/xT17MEtnjjliYjM1 ➡️投稿爆料 :@AQzx_0 ➡️PG直播/交流会:@svip2d

Showing the 12 most recent of 808 posts we hold for @AQzx_6. 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 19 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“全网博彩黑台杀猪盘曝光📬” (@AQzx_6), 93,612 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/AQzx_6.

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.