💎🎰🙌💵 😀💰💸💸 💳💳💳💳💳💳💳💳💳 💳💳💳💳💳💳💳💳💳 🧐专业服务 超高限红 毫秒出款 ❤️视讯 — 索莱尔/DB/CQ9高限红 ❤️电子 — PG/PP/CQ9 一注2000 ❤️彩票 — 独家综艺28/哈希区块彩 🏆OK游戏中心 公群9 入驻300万U 🏆新币担保 公群999 入驻100万U 官方网址 ➔ 9Y.COM 官方飞投 ➔ @GF9Y 官方唯一客服 ➔ @KF9Y 官方唯一频道 ➔ @WWW9YCOM 💎🐋🐋🐋🐋🐋🐋🐋🐋💎
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Channel
@vtttt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
77,817subscribers
-30,639 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001068094876 |
|---|---|
| Type | Channel |
| Username | @vtttt |
| Description | 缅甸大事件专注海外华人最新资讯 东南亚地区最新动态,海外华人求助 让你看尽海外大小事 ! ✅投稿商务: @myyyy ✅双向联系: @vttttvipbot 缅甸二手: @YT5559 🚀联盟导航: @LYYYY 缅甸|老挝|泰国|柬埔寨|菲律宾 |马来|斯里兰卡 本频道不做任何立场声明,并鼓励友好交流 和谐环境! |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.me/vtttt |
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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Oct 2026, 10:05 | 77,817 | -117 |
| 17 Oct 2026, 11:45 | 77,934 | -366 |
| 16 Oct 2026, 09:28 | 78,300 | -507 |
| 15 Oct 2026, 11:51 | 78,807 | -778 |
| 14 Oct 2026, 11:27 | 79,585 | -886 |
| 12 Oct 2026, 20:39 | 80,471 | +9,044 |
| 8 Oct 2026, 07:21 | 71,427 | -2,849 |
| 3 Oct 2026, 19:41 | 74,276 | -812 |
| 25 Sept 2026, 03:57 | 75,088 | -630 |
| 18 Sept 2026, 22:22 | 75,718 | -140 |
| 16 Sept 2026, 11:39 | 75,858 | -192 |
| 14 Sept 2026, 12:39 | 76,050 | -160 |
| 13 Sept 2026, 00:58 | 76,210 | -357 |
| 11 Sept 2026, 04:58 | 76,567 | -588 |
| 8 Sept 2026, 07:00 | 77,155 | -633 |
| 5 Sept 2026, 02:16 | 77,788 | -206 |
| 3 Sept 2026, 07:46 | 77,994 | -194 |
| 1 Sept 2026, 22:27 | 78,188 | -52 |
| 1 Sept 2026, 01:47 | 78,240 | -185 |
| 30 Aug 2026, 23:18 | 78,425 | first reading |
1,528 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 150 pages of Telegram’s post history, 20 posts per page.
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 503 of 528 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 1,528 (6 August 2026 – 18 October 2026) |
| Views total | 4,388,607 |
| Reactions total | 18,731 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 18:04 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.
Lifetime counters from Telegram’s own channel header, read 18 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.
Measured directly from 228 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.
54,778 reactions across 935 posts, in 26 distinct kinds. The most used accounts for 11.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 6,190 | 11.3% | |
| ❤ | 6,144 | 11.2% | |
| 😍 | 6,144 | 11.2% | |
| 👍 | 6,097 | 11.1% | |
| 🎉 | 6,096 | 11.1% | |
| 💯 | 6,045 | 11.0% | |
| 🔥 | 6,016 | 11.0% | |
| 🤩 | 5,995 | 10.9% | |
| ❤🔥 | 5,980 | 10.9% | |
| 😁 | 19 | 0.035% | |
| ⚡ | 18 | 0.033% | |
| 👏 | 15 | 0.027% | |
| 👌 | 3 | 0.005% | |
| 🍓 | 2 | 0.004% | |
| 💩 | 2 | 0.004% | |
| 😢 | 2 | 0.004% | |
| 🌚 | 1 | 0.002% | |
| 🐳 | 1 | 0.002% | |
| 🕊 | 1 | 0.002% | |
| 😐 | 1 | 0.002% | |
| 6 further kinds | 6 | 0.011% |
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 936 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 54,778 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 28 August 2026 to 18 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.
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#群友爆料:今天来让大家认识一个专门骗自己人的所谓的朋友! 这个人满嘴跑火车,没有一句真话,天天都在骗人。这个人外号叫做 【班长】 湖北人 下次就把你的证件全部发出来!此人没有护照,是从小路偷渡出来的,给大家认识一下! 事情的起因是这样的:当时我们想开一个小的盘,需要一个场地。他说他可以搞定,要和我们合伙开,我们也没说什么,就答应了。中间还有一位好朋友,也是看别人的面子,没有说别的。 然后这个人就开始了,天天盯着我们让我们弄。本来说是在金边钻石岛弄,我们答应了,感觉还不错,也同意了,可是根本搞不定。后来又带我们去西港找他师傅,什么胡总,怀疑也是被他骗了,不知道当中原由。 这班长什么本事都没有,反正骗身边的朋友,我觉得他还是有一套的~ 后来,我们在西港把钱转给他之后,他找了个什么铁锅炖楼上做,别人老板根本就不知道这个事,还是在骗朋友!他一直说可以,后面我们还没开始,警察就过来要登记护照。当时我们什么都买了,电脑设备、网络…
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#群友投稿:缅北持续开展打击、宣判和遣返行动,电诈活动逐渐减少,但缅东妙瓦底和三佛塔一带仍有大量诈骗团伙活动。今年8月泰康园区经过一次小规模整治后,近两个月几乎没有大规模清剿行动。 目前,妙瓦底部分旧园区已有诈骗团伙重新入驻,新园区也在隐蔽扩建。电诈人员主要集中在妙瓦底城外至三佛塔沿线,包括交克、瓦来、三佛塔和亚太片区。亚太上游几十公里还新建了多处园区,老牌亚太园区也有少量人员回流。 虽然暴力管控、拘禁虐待等情况相比前两年有所减少,但诈骗活动并未停止,只是园区规模和网络曝光度有所下降。 国内正在登记失联和滞留妙瓦底人员的信息,三佛塔部分园区也传出人员解散、分批撤离的动向。 我判断妙瓦底滞留电诈人员可能达到十万级别,短期内难以全部清空。2026年底前可能开展一轮阶段性清剿,分批遣返数千人。 随着缅北存量案件逐步处理,2027年反诈打击重点可能进一步转向缅东妙瓦底和三佛塔片区。 🤣 缅甸大事件: @VTTTT 投稿: …
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#网友爆料:将军山999园区B1老板阿豪公司,惨无人道!骗招、小黑屋打人、高压体罚、杠水桶。 你以为你在将军山就安全了吗?等着吧,我肯定会通过大使馆,把你们丑陋的一面告诉大使馆。 现在的将军山999园区,基本上全部都是做美国市场的,都在骗美国人的钱。大部分公司都是做高压体罚、杠水桶,没有业绩,每天就是噩梦。希望美国副总统跟FBI可以看到这条消息,铲除将军山999园区,铲除B1。 每天这个园区诈骗美国公民几百万美金,这都是最少的。这个园区现在彻底已经黑化了,大家千万不要来将军山999园区,正在演变成下一个KK园区。 🤣 缅甸大事件: @VTTTT 投稿: @sssi8 💵 有偿投稿机器人
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妙瓦底一号码头诈骗园区400余人拟转移至DKBA控制区。 据消息来源,妙瓦底BGF博穆吞少校控制的一号码头“恒升4期”诈骗园区正计划将400多名诈骗人员及中国公民转移至DKBA控制的觉卡地区,缅甸籍员工已暂时停工。 媒体曝光约五天后,转移准备工作启动。 园区中国老板及管理层已被转移至SUN City赌场旁KTV楼上,由博穆吞之子负责安保藏匿。 觉卡为DKBA主要控制区,当地诈骗产业在压力下常转移至该区躲藏,相关事宜仍在核实中
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#群友求助:我是一家开电脑和买手机的,以前是因为和他们公司熟悉,才给他们欠帐的, 后来因为一些原因,他们从七星海it 搬到波呗宝龙4了,搬家的第二天还让我送了10台电脑上去,也就是因为认识,以前也有欠帐,就没有想那么多 公司的管事叫 #星河,福建人,老板,啊群,飞机也有叫过简单,现在飞机叫拿捏, 还有一个公群频道飞机名字叫合联盛大G,他是做拿现的中介,他们每天就是找车队给他们拿现,他们负责对接盘口,我现在店在柬埔寨关了,大环境这样也开不下去,没生意。 他们公司管事的已经失踪了,那我找他们老板没错吧,可是我联系他们老板的时候说把钱给他了,我这里一分钱没收到, 最后他们老板的私人号飞机给我拉黑了, 你就不怕你的车队名声做坏吗,车队都小心合联盛吧, 什么时候把你们吃了都找不到人,今天不处理,照片先不发了,今天不处理,下次就是带照片。 🤣 缅甸大事件: @VTTTT 投稿: @sssi8 💵 有偿投稿机器人
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佤邦司法委向中方移交一名涉du涉案人员 10月15日,佤邦司法委联合中方执法部门,依据双边警务合作协议开展跨境协同缉捕行动,在云南临沧沧源县芒卡口岸,正式向中方移交一名中国籍涉du涉案人员,是双方联合打击跨境犯罪、维护边境稳定的最新战果。 据悉,该嫌疑人涉du品犯罪,此前中方通过法定渠道发函请求协助缉捕。佤邦司法委接函后迅速启动协作机制,抽调警力研判线索、落地追缉,依托中方情报支持,精准出击、成功抓获涉案人员。 🤣 缅甸大事件: @VTTTT 投稿: @sssi8 💵 有偿投稿机器人
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今晚的航班,回家了! 这一路的苦,说白了,就是想圆一次“年少有为”的梦。梦没圆,也没彻底摔碎,只是走到了该醒的地方。 在西港、在柬埔寨,吃过的苦、熬过的通宵、忍过的气,只有自己最明白。不说出来的疼,不是不疼,是疼习惯了。 有人留下继续拼,有人还在赌命,我决定回头。不是怂,是知道不能再耗光自己。有些路,年轻时试一次就行。 今晚飞机,心里空落落的,又有点释然。背包不沉,回忆很沉。窗外灯光一盏盏往后退。 再见,西港。再见,柬埔寨。你让我看透人性,也让我知道代价有多贵。 你好,浙江。你好,中国。从今天开始,不求暴富,只求站得住。
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#群友爆料:姓名:黄呈龙 外号:阿龙 此人早年在菲律宾表面做着光鲜的生意,实则草菅人命,背后计划多起绑架事件而发家,身上背负多条无辜的生命,24年菲律宾打击诈骗,他带着他老婆(特别介绍一下,在菲的很多老朋友应该都知道,他老婆最早是卖的,不知道有没有表兄弟出来认亲)以及同伙在柬埔寨金边创建龙鑫集团. 此集团做恶多端,长期买卖人口,去年在柬埔寨金边龙鑫园区还逼死一个员工跳楼,内部爆出园区多条人命…… 因这次柬埔寨的大力打击之下,还有昨天经他身边可靠内部人员讲此人最近通过一个兄弟得来消息知道一位老板跟菲律宾一些合作伙伴在菲律宾甲米地WhiteWoods谈园区的合作,他就开始在老板面前上演技,最终夺得老板的信任,把园区以及人脉关系全权交予此狼子野心人之手,在老板跟合作方还在商讨此事中 此人就私自跳过老板直接私下跟合作方另谈合作,具他底下人说,已经在计划以后怎么吃掉其合作人股份了……计划还包括准备怎么先对外声称关系好目的先把一…
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佤邦司法委向中方移交一名涉du涉案人员 10月15日,佤邦司法委联合中方执法部门,依据双边警务合作协议开展跨境协同缉捕行动,在云南临沧沧源县芒卡口岸,正式向中方移交一名中国籍涉du涉案人员,是双方联合打击跨境犯罪、维护边境稳定的最新战果。 据悉,该嫌疑人涉du品犯罪,此前中方通过法定渠道发函请求协助缉捕。佤邦司法委接函后迅速启动协作机制,抽调警力研判线索、落地追缉,依托中方情报支持,精准出击、成功抓获涉案人员。 🤣 缅甸大事件: @VTTTT 投稿: @sssi8 💵 有偿投稿机器人
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Showing the 12 most recent of 1,528 posts we hold for @vtttt. 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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
@vtttt named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 18 October 2026 — this entry's latest reading, not the date you are reading this.
“缅甸大事件|全球行业热点 @VTTTT” (@vtttt), 77,817 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/vtttt.
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.