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Channel

金三角大事件|全球重大新闻|@RGGGG

@rgggg

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

178,358subscribers

+23,182 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001068253466
TypeChannel
Username@rgggg
Description✅金三角新闻 东南亚大事件 各种重磅爆料 🔥曝光发布: @ncppp 🔥金三角特区吹水群: @tequ88 🚀联盟导航: @LYYYY 💯所有内容均为网络投稿,真假自行甄别!
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/rgggg

Topic

Gambling & betting — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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 4 other registered channels. 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
@rgggg/36423 · this entry13 Sept 2026, 16:40 UTC@xinwenpindao11/2496026 Sept 2026, 15:37 UTC1.0013 days
@rgggg/39065 · this entry17 Oct 2026, 16:47 UTC@xinwenpindao11/2667017 Oct 2026, 16:47 UTC0.96under a minute
@rgggg/38931 · this entry16 Oct 2026, 06:43 UTC@xinwenpindao11/2655216 Oct 2026, 06:43 UTC0.93under a minute
@xinwenpindao11/2650315 Oct 2026, 09:39 UTC@rgggg/38877 · this entry15 Oct 2026, 09:39 UTC0.93under a minute
@rgggg/33273 · this entry7 Aug 2026, 16:00 UTC@xinwenpindao11/2241019 Aug 2026, 16:00 UTC0.9212 days
@rgggg/34183 · this entry18 Aug 2026, 17:00 UTC@xinwenpindao11/2241619 Aug 2026, 17:00 UTC0.9224 hours
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
@xinwenpindao1118 (8/8 hand-verifiable sample passed)0.93under a minutethis entry (17–1)
@jsj5611 (8/8 hand-verifiable sample passed)0.9824 hoursthis entry (9–2)
@vvvfa10 (8/8 hand-verifiable sample passed)1.0012 daysthis entry (10–0)
@xpppp7 (7/7 hand-verifiable sample passed)0.9840 minutesthis entry (7–0)

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. 3 of the 3 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 2,213 comparable posts for this entry, running 6 August 2026 to 13 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).

Recorded under the key clone_source, last confirmed 13 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.

Growth

143,295178,358160,826.57 August 202613 November 2026
65 measurements spanning 98 days, net +23,182. 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 138,036–183,617 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 13:10178,358+1,785
11 Nov 2026, 02:57176,573+1,704
9 Nov 2026, 09:54174,869+1,264
8 Nov 2026, 00:18173,605+848
6 Nov 2026, 21:37172,757+982
5 Nov 2026, 22:17171,775+617
4 Nov 2026, 20:08171,158+830
3 Nov 2026, 18:30170,328+413
2 Nov 2026, 17:54169,915+891
1 Nov 2026, 20:59169,024+755
31 Oct 2026, 23:58168,269+896
31 Oct 2026, 00:44167,373-604
29 Oct 2026, 21:28167,977+570
28 Oct 2026, 17:49167,407+782
27 Oct 2026, 16:46166,625+816
26 Oct 2026, 13:30165,809+565
25 Oct 2026, 12:25165,244+953
24 Oct 2026, 12:36164,291+377
23 Oct 2026, 14:08163,914+545
22 Oct 2026, 10:40163,369first reading

Engagement

2,655 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 201 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.47%
avg views ÷ 178,358 subscribers
Avg views / post
6,200
800 posts measured
Reaction rate
0.286%
reactions ÷ views · ER floor
Posts in window
800
of 2,655 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 681 of 800 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 13 November 2026
Posts held2,655 (6 August 2026 – 13 November 2026)
Views total4,956,706
Reactions total13,646
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 15:26 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
≈21,000
Videos
≈3,790
Links
≈7,750

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. 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
2h 27m
Average length
36s

Measured directly from 248 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

26,536 reactions across 875 posts, in 15 distinct kinds. The most used accounts for 14.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3,83214.4%
❤3,82014.4%
🥰3,78414.3%
🔥3,77314.2%
😍3,75414.1%
🎉3,71514.0%
🤩3,71514.0%
🤯390.147%
😱340.128%
🤔220.083%
👏140.053%
😁120.045%
😢110.041%
🙏100.038%
💩10.004%

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 877 of the 1,000 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 26,536 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 October 2026 to 13 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: 3 of 800 posts held from the last 30 days (0.375%) 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).

13 Nov 2026, 15:12 UTC39 viewsread 13 November 2026
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#币圈新闻 美国查扣12亿美元被盗加密货币 11月12日,美国联邦调查局(FBI)宣布,已查扣价值超过12亿美元的加密货币。这些资产来自上个月币安(Binance)遭遇的黑客攻击。 此次攻击造成约63亿美元损失,被认为是史上最大规模的加密货币盗窃案。FBI此前将攻击归咎于朝鲜黑客组织TraderTraitor。目前,美国政府与私营机构已合计冻结超过27亿美元被盗资产。 FBI还指控朝鲜利用劫持通讯软件、深度伪造视频等手段,在过去18个月另行窃取约4亿美元加密货币。 👌👌👌👌👌👌👌👌 💵 有偿投稿机器人 👌订阅频道 | 👌加入群聊 👌投稿曝光 | 👌商务合作

13 Nov 2026, 14:52 UTC105 viewsread 13 November 2026
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13 Nov 2026, 14:11 UTC139 viewsread 13 November 2026
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13 Nov 2026, 13:51 UTC211 viewsread 13 November 2026
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13 Nov 2026, 13:20 UTC375 views11 reactionsread 13 November 2026
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13 Nov 2026, 13:14 UTC362 views1 reactionsread 13 November 2026
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13 Nov 2026, 12:54 UTC758 viewsread 13 November 2026
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13 Nov 2026, 12:30 UTC753 views0 reactionsread 13 November 2026
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13 Nov 2026, 12:30 UTC696 viewsread 13 November 2026
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13 Nov 2026, 12:13 UTC122 views11 reactionsread 13 November 2026
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#突发事件:微软邮箱 Outlook崩溃了 技术故障通知——全球 Microsoft 365 服务中断 目前,Microsoft 正在经历全球性服务中断,影响 Outlook 和 Microsoft Teams 的正常运行。因此,部分用户可能会遇到无法正常访问 Outlook 和 Microsoft Teams 服务的情况。 我们正在持续监控该问题,并将在获取更多信息后及时向大家通报最新进展。 👌👌👌👌👌👌👌👌 💵 有偿投稿机器人 👌订阅频道 | 👌加入群聊 👌投稿曝光 | 👌商务合作

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13 Nov 2026, 11:53 UTC767 views6 reactionsread 13 November 2026
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#斯里兰卡新闻 #网友投稿 尊敬的斯里兰卡驻华大使馆: 我是一名曾被黑中介以高薪工作为诱饵骗至斯里兰卡的中国公民。本人现已成功逃出该诈骗窝点,并安全返回国内。被骗至班达拉奈克国际机场(CMB)附近约3至5公里处的满月园酒店(Full Moon Garden Hotel,地址:754 Colombo Road, Katunayake 11410, Sri Lanka)后,我亲眼目睹并亲身经历了该酒店内以“约炮交友”为名、实际针对中国国内同胞实施电信诈骗的犯罪网络。 该酒店在谷歌地图及谷歌搜索中均可直接查到,搜索方法非常简单:打开Google或Google Maps,直接输入英文关键词“Full Moon Garden Hotel”或“Full Moon Garden Hotel Katunayake”,或中文“满月园酒店”,即可精准定位到该酒店。酒店完整地址为:754 Colombo Road, Katunayake 1141…

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13 Nov 2026, 11:12 UTC158 views11 reactionsread 13 November 2026
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#泰国新闻 #曼谷 曼谷两名中国男子涉嫌设局诈骗同胞女游客!假借换汇、代购手机,受害者损失逾40万泰铢 据泰国媒体《Daily News》报道,11月11日晚,一名28岁的中国籍女游客前往曼谷汇权警察局报案,称自己在泰国旅游期间,遭到多名中国籍男子以交友、陪同游玩、货币兑换及代购手机等方式设局诈骗,累计损失超过40万泰铢。 据受害者陈述,她于10月26日抵达泰国旅游,期间通过中国社交平台“小红书”认识了一名中国籍男子。双方熟络后,对方邀请她在曼谷丁丹区一家餐厅见面,并介绍其他同伙与其认识。随后,这伙人带她前往曼谷娜娜广场一带游玩。 期间,对方以身上没有泰铢现金为由,提出进行人民币与泰铢兑换交易,声称可以将人民币转入受害者的中国银行账户,再由她交付等值泰铢现金。受害者信以为真,先后向对方交付现金。 随后,涉案人员又以类似方式要求继续换汇,并声称已经向她的银行账户转入人民币。受害者在未确认资金真实来源的情况下,再次交付大笔泰…

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Showing the 12 most recent of 2,655 posts we hold for @rgggg. 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

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Cite this entry

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“金三角大事件|全球重大新闻|@RGGGG” (@rgggg), 178,358 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/rgggg.

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