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Telegram profile photo for 金三角黑暗事件

Channel

金三角黑暗事件

@yatai985

2 usernames

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

48,643subscribers

+21,765 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002628058868
TypeChannel
Usernames@juevip @yatai985
Description#东南亚 #柬埔寨 #金三角 #缅甸 #泰国 「金三角黑暗事件」带你揭秘东南亚大小事,曝光悬赏通缉,仅此一个频道,其他均为盗版!请注意识别,不私信任何人,防止被诈骗或敲诈勒索! 防失联导航: @hasj_DNY 投稿爆料澄清: @molu178 双向投稿机器人: @heianshijian_bot
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 October 2026
Measurements held92
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/yatai985

Topic

Other / unclassifiable — 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 79% 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 3 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
@hadubai/255667 Aug 2026, 11:32 UTC@yatai985/24976 · this entry7 Aug 2026, 11:32 UTC1.00under a minute
@hadubai/255737 Aug 2026, 13:25 UTC@yatai985/24985 · this entry7 Aug 2026, 13:25 UTC1.00under a minute
@hadubai/255747 Aug 2026, 13:32 UTC@yatai985/24986 · this entry7 Aug 2026, 13:32 UTC1.00under a minute
@hadubai/255777 Aug 2026, 14:24 UTC@yatai985/24993 · this entry7 Aug 2026, 14:24 UTC1.00under a minute
@hadubai/255797 Aug 2026, 14:33 UTC@yatai985/24995 · this entry7 Aug 2026, 14:33 UTC1.00under a minute
@yatai985/24996 · this entry7 Aug 2026, 14:39 UTC@hadubai/255807 Aug 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hadubai10 (7/8 hand-verifiable sample passed)1.00under a minute@hadubai (6–4)
@flbha8810 (7/8 hand-verifiable sample passed)1.00under a minute@flbha88 (7–3)
@dnyha18810 (7/8 hand-verifiable sample passed)1.00under a minute@dnyha188 (7–3)

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. 20 of the 20 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 13 comparable posts for this entry, running 7 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 4, the earliest publisher we hold is @hadubai. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 7 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 3 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.

Growth

25,62449,44537,534.548,6437 August 202624 October 2026
92 measurements spanning 78 days, net +21,765. 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 22,051–53,018 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 92
Measured (UTC)SubscribersChange
24 Oct 2026, 08:0548,643no change
24 Oct 2026, 05:4748,643-16
23 Oct 2026, 09:4548,659-7
23 Oct 2026, 02:5048,666-4
22 Oct 2026, 09:5948,670-12
22 Oct 2026, 00:5048,682-10
21 Oct 2026, 03:4048,692-2
20 Oct 2026, 17:2748,694-13
19 Oct 2026, 23:0748,707-1
19 Oct 2026, 16:1548,708-12
18 Oct 2026, 22:0648,720no change
18 Oct 2026, 17:3648,720-14
17 Oct 2026, 21:3948,734no change
17 Oct 2026, 17:2148,734-5
16 Oct 2026, 21:0648,739-1
16 Oct 2026, 14:3648,740-8
15 Oct 2026, 22:0648,748-19
15 Oct 2026, 14:2848,767-35
14 Oct 2026, 19:0048,802-2
14 Oct 2026, 12:0548,804first reading

Engagement

1,461 posts held, back to 7 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 144 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.85%
avg views ÷ 48,643 subscribers
Avg views / post
899
616 posts measured
Reaction rate
0.104%
reactions ÷ views · ER floor
Posts in window
617
of 1,461 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 85 of 616 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 24 October 2026
Posts held1,461 (7 August 2026 – 24 October 2026)
Views total553,642
Reactions total86
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 02:51 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
≈21,700
Videos
≈5,430
Links
≈1,350

Lifetime counters from Telegram’s own channel header, read 25 October 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
5h 04m
Average length
47s

Measured directly from 388 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

172 reactions across 170 posts, in 10 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5733.1%
⚡2112.2%
👏179.88%
🔥179.88%
🥰179.88%
😁158.72%
🤩158.72%
🎉105.81%
❤21.16%
🙏10.581%

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 170 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 172 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 30 August 2026 to 24 October 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

24 Oct 2026, 16:24 UTC1 viewsread 25 October 2026
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#网友投稿:金边宪兵刚刚包围了隆边区万谷一带的一栋建筑,现场多人被捕。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

24 Oct 2026, 15:42 UTC1 viewsread 25 October 2026
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#群友爆料:今晚菲律宾帝景大楼被NBI端了,直接破门而入。最少抓了几十个狗推。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

24 Oct 2026, 15:24 UTC≈1,420 viewsread 25 October 2026
Video

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24 Oct 2026, 14:41 UTC≈1,040 viewsread 25 October 2026
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24 Oct 2026, 14:35 UTC≈1,220 viewsread 25 October 2026
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24 Oct 2026, 14:20 UTC≈1,140 viewsread 25 October 2026
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#网友投稿:缅某园区,刚入职的小孩哥,那么牛逼么,拿刀吓这位老哥,直接把老哥吓得不敢大声说话了。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

24 Oct 2026, 14:11 UTC730 viewsread 25 October 2026
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24 Oct 2026, 13:28 UTC≈1,320 viewsread 25 October 2026
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24 Oct 2026, 13:19 UTC1 viewsread 25 October 2026
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国际刑警组织展开“塞伦盖蒂三号”行动 大肆打击非洲网络犯罪 在国际刑警组织协调下,21国执法机构于2026年6月29日至8月31日联合开展“塞伦盖蒂三号”行动(Operation Serengeti III),重创非洲网络犯罪网络。 行动共逮捕1,462名嫌疑人,摧毁10,909个恶意网络,追回逾1.05亿美元非法资金,涉及受害者超6.5万人,损失达3.85亿美元。其中,乌干达查获涉及跨国投资诈骗的365名外籍人员;安哥拉捣毁2个非法加密货币挖矿中心;尼日利亚则抓获多名涉钓鱼邮件与投资诈骗的骨干。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

24 Oct 2026, 13:10 UTC1 viewsread 25 October 2026
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#柬埔寨资讯:金边警方突查按摩店,涉嫌提供色情服务及雇用未成年少女 10月22日晚,金边市警方反人口贩运与保护未成年人部门联合当地执法人员,对一家涉嫌违规经营的按摩店展开突击检查。 据报道,涉事场所名为“SM Steam and Massage”,位于金边市BKK区95号路与396号路交界处。警方怀疑该店以按摩服务为掩护,暗中提供非法性服务,同时调查其是否涉及雇用未成年少女等问题。 行动期间,执法人员控制了店内多名男女,并将相关工作人员带往金边市警察局接受调查。此次行动由相关部门联合开展,并在司法机关协调下进行。 截至目前,公开报道尚未披露被带走人员的确切人数、国籍及具体身份,案件仍有待进一步调查。有关涉事场所是否存在人口贩运、性剥削或雇用未成年人的违法行为,仍须以警方调查结果及后续司法程序为准。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

24 Oct 2026, 12:29 UTC693 viewsread 25 October 2026
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柬埔寨打诈打到今天, 波贝为何还能一次端掉上百人的窝点? 连柬媒都惊呼:这些诈骗犯太嚣张了 完全罔顾王国的法律与尊严! 其实,柬媒看了个皮毛 现在柬埔寨打诈,打成了尿不尽 根源依然在于柬埔寨的执法队伍 依然在于土著权贵和既得利益集团 罔顾法律和尊严的 恰恰是这些柬埔寨人 在如此高压之下 诈骗犯们并非脑膜炎和智障 他们之所以依然敢上百人的聚集 那一定是有人给他们 拍了胸脯,吃了定心丸! 夸下了海口,给足了承诺! 当然,前提是你给足了money 可是,我们早就说过 现在柬埔寨这些官人的保护承诺 连他们自己都不会信 可是,偏偏还是有大量诈骗犯相信 相信柬埔寨的土著官人 依然可以罩着一切 于是,献上大笔孝敬 然后大张旗鼓的开工 然后,被举报,然后被端! 如此循环往复 也让柬埔寨的打诈事业 像前列腺出了毛病的中老登 硬生生给搞成了尿不尽 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_h…

24 Oct 2026, 12:22 UTC667 viewsread 24 October 2026
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😍😍😍😍😍😍 😍😍😍😍😍😍😍😍 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 持牌运营,公平透明,娱乐更安心 温馨提示:乐而不迷,方得乐趣。 😀注册登入:X6.com 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 🌟实时返水🌟.🌟🔤 最高🌟🔤 🌟关注频道 每日领6️⃣6️⃣6️⃣6️⃣👌 🌟顶级玩家1人=6️⃣6️⃣6️⃣👌 🌟逢6必发 每月三期 倾情回馈 🌟新人福利六重礼 🌟代理推广八重礼 🥰同行文案写的天花乱坠 不如X6的USDT到位 🎁X6宝马会 提现稳如泰山 就是最好的实力象征 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 🔥 TG小程序,直达官网 🔥 一键登录,方便快捷,免实名零等待 👼认准官方唯一投注入口:@X6YL 🌟🌟🌟🌟🌟:X6.com 🌟🌟🌟🌟🌟:@X6X6 🌟🌟🌟🌟🌟:@X6comkf1

Showing the 12 most recent of 1,461 posts we hold for @yatai985. 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 2 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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“金三角黑暗事件” (@yatai985), 48,643 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/yatai985.

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.