Channel
@MDTTXW
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,797subscribers
-15,610 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002545034157 |
|---|---|
| Type | Channel |
| Usernames | @axttttt @MDTTXW |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 August 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/MDTTXW |
International news — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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 |
|---|---|---|
| 3 Oct 2026, 21:54 | 17,797 | -3,058 |
| 30 Sept 2026, 14:38 | 20,855 | -6,441 |
| 25 Sept 2026, 06:01 | 27,296 | -5,435 |
| 18 Sept 2026, 06:01 | 32,731 | -431 |
| 17 Sept 2026, 04:38 | 33,162 | -191 |
| 15 Sept 2026, 21:41 | 33,353 | -17 |
| 15 Sept 2026, 03:55 | 33,370 | -26 |
| 13 Sept 2026, 14:38 | 33,396 | +1 |
| 12 Sept 2026, 12:01 | 33,395 | no change |
| 11 Sept 2026, 16:39 | 33,395 | +2 |
| 10 Sept 2026, 11:21 | 33,393 | no change |
| 9 Sept 2026, 06:36 | 33,393 | +1 |
| 2 Sept 2026, 13:17 | 33,392 | no change |
| 1 Sept 2026, 19:36 | 33,392 | -3 |
| 1 Sept 2026, 14:35 | 33,395 | -9 |
| 31 Aug 2026, 17:48 | 33,404 | no change |
| 31 Aug 2026, 17:26 | 33,404 | -3 |
| 31 Aug 2026, 06:45 | 33,407 | first reading |
246 posts held, back to 31 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 44 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 6 of 152 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 246 (31 August 2026 – 29 September 2026) |
| Views total | 424,315 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 03:32 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.
Measured directly from 49 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.
8 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 3 | 37.5% | |
| 🔥 | 3 | 37.5% | |
| 👎 | 1 | 12.5% | |
| 😍 | 1 | 12.5% |
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 7 of the 246 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 246 most recent posts we hold, published 31 August 2026 to 29 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.
#频道互推 #相似推荐 ------------------------------ 📢 东南亚风云大小事 📢 《🇬🇾东南亚新闻》东南亚资讯|东南亚曝光 📢 ◒迪拜曝光|迪拜新闻◒ 迪拜资讯 📢 东南亚大事件 📢 越南🫰胡志明市·河内·旅游攻略［新闻资讯］ 📢 缅甸缅北东南亚新闻曝光 📢 泰国华人柬埔寨新闻曝光 📢 柬埔寨新闻《柬埔寨曝光》 📢 东南亚大事件新闻 📢 河南头条/安危事件/热点新闻推送 ------------------------------ 🤝 加入互推 · 获得曝光，赚邀请奖励
#老挝资讯：万象警方抓获4名中国籍盗窃嫌疑人，涉多起入室撬保险柜案件 9月25日，老挝万象市公安部门通报，一伙涉嫌专门物色无人住宅、撬保险柜盗窃财物的中国籍人员已被警方抓获。 据警方调查及嫌疑人供述，该团伙自2026年8月起开始作案，通常分组骑电动摩托车踩点，重点寻找面积较大、长期不开灯、从外部上锁且疑似无人居住的住宅。 确定目标后，他们会将具体位置发到群组内，等待合适时机实施盗窃。 警方目前确认该团伙至少涉及3起案件： 8月28日，在西萨达纳县东果村作案，造成损失超过1900万基普。 9月3日，在西萨达纳县蓬巴包村盗走6铢金手链，以及项链、银戒指等财物，另有约700万基普损失。 9月5日，在赛色塔县农年村盗走约3铢黄金首饰、3块Gucci手表、约3000美元及500万基普现金。 目前，警方仍在继续追查是否有其他同伙参与，并进一步扩大调查范围，案件将依法处理。
#新加坡资讯：冒充移民局再转“中国官员”，117宗诈骗卷走至少840万新元 9月25日，新加坡警方与移民与关卡局公布，自2026年1月以来，这类冒充移民局人员、再转接假“中国官员”的诈骗已发生至少117宗，损失至少840万新元。 骗子通常先冒充移民局人员打电话，谎称受害人的个人资料被盗用，或手机号码涉及诈骗犯罪，再把电话转给所谓“中国官员”。对方随后以“调查”“保释”等理由要求转账或交现金，部分受害人还被要求签署伪造的保密协议，让骗局看起来更真实。 8月14日公布的数据还是72宗、损失至少610万新元。一个多月后，案件增加45宗，损失再增加至少230万新元。新加坡警方提醒，政府人员不会要求公众转账，也不会要求交出现金、黄金、名表或加密货币。
#群友投稿：作为一个“爱情诈骗犯”，我可以告诉你们，这种生活并不如你们想象的那样充满激情和浪漫。 我们这些人，总是利用别人的感情来获取金钱，我们并不在乎所谓的“真爱”，因为我们从来没有真正体验过什么叫做爱情。 我们在东南亚的这片土地上，通过虚假的承诺、甜言蜜语和精心设计的谎言，迎接那些对“爱情”充满期待的人。我们从不在乎他们的情感需求，只关心他们的口袋里是否有钱。这种职业上的“爱情”，对我们来说只是一种工具，一种手段，是为了达到目的而不择手段的手段。 我从来没有经历过真正的感情。我知道自己在他们眼里就是一个谎言，一个虚假的人。我总是根据他们的需求和情感空白来设下陷阱。通过网络上的亲密互动，逐步拉近距离，然后装作体贴、理解，伪装成他们一直渴望的那个人。我懂得怎么去操纵情感，利用对方的孤独、对爱情的渴望，甚至是他们的善良。每一次的接近，都是为了从中得到金钱，而不是心灵的共鸣。 但我们从来不关心这些被我们欺骗的人的真正感受。我…
致东南亚还在一线奋斗的诸君： 人在东南亚，水深不语，人稳不言。有些事情看破了，不一定要说破；有些人看清了，也没必要当场翻脸。 君子藏器于身，待时而动。 人在低谷的时候，别急着证明自己；人在风口的时候，也别急着得意。真正能走得远的人，懂得什么时候低头做事，什么时候转身离开，什么时候该忍，什么时候必须止损。 出来混，见过太多起起落落。有人一夜暴富，也有人一夜归零；有人风光的时候身边全是兄弟，落魄以后才发现，真正能靠得住的没几个。 所以，水深不语，事大不声。😍关注总频道 @Svip 能看清局势，就别逞一时之勇；能提前发现危险，就别等事情发生以后才后悔。 庄子讲龙蛇之变。 成蛇之时，俯身草莽；成龙之时，遨游九霄。 人在低谷，沉住气；人在高处，稳住心。输了不怨，赢了不飘。 人在东南亚，钱重要，机会重要，但更重要的是保住自己，守住底线，认清局势。 有所为，亦有所不为；能屈能伸，方能走得更远。 这条路很长，别因为一时的输赢，把…
#网友投稿：发这篇笔记没有别的目的，就是希望把我的真实经历发出来，让大家看清一些网络交友的套路，千万不要再有下一个受害者了。 我和这位女网友一开始聊天非常投缘，对方表现得温柔大方，甚至让我觉得遇到了对的人。 但随后，对方就开始以各种理由和借口向我索取钱，现在这个人还在亚太，可能去会所了，钱也没多少才2千U，对我这样的有钱人来说只沧海一粟，只是想着被骗心里不舒服，有什么困难直接跟我说就好了，我不是那种差事的人！ ps：吃逼亏上逼当 迟早死在逼身上
#缅甸资讯：曼德勒47万张涉赌涉诈手机卡被永久注销 缅甸安全与边境事务部长奈林索上校在曼德勒省议会答复时表示，针对“1小时内向60个号码发短信”或“24小时内向1000个号码发短信”等异常行为，曼德勒已永久注销超47万张用于赌博和网络赌博的SIM卡，并正切断网络诈骗和赌博的资金流动。 9月24日省议会例会上，有代表反映网络诈骗和非法在线赌博严重威胁民众安全，诈骗者通过Viber、短信、Telegram等平台以“好工作、高利润”为诱饵行骗，甚至涉及金融诈骗和人口贩卖。
#网友投稿：缅北果敢“老街”，昨天晚上两个狗推逛红灯区，奈何经济实力不允许 只能看一看摸一摸，从街头摸到街尾最后一家店的时候和店家爆发了冲突打起来了，听说是揩油时下手太重了，把人家小姐姐奶子都捏淤青了。经济下行，大环境不好的时候，潜藏的各类社会矛盾便会叠加凸显。
客服类诈骗征服美国市场：23岁男子冒充Coinbase狂骗1594万美元后Telegram炫富，被判最高12年还要赔近1600万 据美国布鲁克林地区检察官办公室消息，23岁布鲁克林男子Ronald Spektor因实施网络钓鱼与社会工程诈骗，被判处4至12年监禁。他在约一年时间内冒充Coinbase客服，以“账户遭黑客攻击、资产面临风险”为由诱骗约100名美国用户将加密货币转移至其控制的钱包，累计盗取近1594万美元。 随后，他通过多次兑换、混币服务及加密赌博平台进行洗钱。Spektor于9月2日对包括一级洗钱、一级重大盗窃等全部31项指控全部认罪，并被责令没收价值超50万美元的现金、加密货币及个人财产，同时需赔偿近1600万美元。 调查还显示，他曾在Telegram等平台公开炫耀犯罪所得。
#群友求助: 想寻找一下原太子广场太子园区18楼老板浪子的飞机联系方式，之前因为回国丢失了联系方式，去年的工资还没有发给我，希望能联系上浪总处理一下这个事情，工资不多就四千多美金。
#群友投稿：我是一名小狗推，一个从普通背景出身，逐梦海外的年轻人。在过去的几年里，我经历了不同的国度和文化，也深深体验了“狗推”生活带来的种种滋味。 菲律宾、迪拜、柬埔寨，三地不同的经历让我看透了不少事情，也从中学到了宝贵的人生经验。以下是我一路走来的故事。 第一章：初入菲律宾——梦想与现实的碰撞 起初，出国对我而言，是个机会。我抱着憧憬来到菲律宾，想着能在这里赚到比国内更多的收入，改善家庭的生活。然而，现实却远比我想象得要残酷。在这个异国他乡的环境中，文化、语言、生活方式的差异让我感到陌生且孤独。菲律宾的高温湿热让我不适应，但工作强度却丝毫不减，几乎每天都是超长的工时。 “狗推”的工作看似简单，但其实不易。为了吸引客户，我需要不断创新沟通方式，并在竞争激烈的市场中保持活跃。一次次的挫败让我想要放弃，但心中那个不服输的声音却让我坚持了下来。渐渐地，我适应了这种节奏，甚至摸索出了一些有效的推销方法。 第二章：迪拜的挑战与成长…
🅥 缅甸头条新闻|东南亚新闻报社- International News pinned a video
Showing the 12 most recent of 246 posts we hold for @MDTTXW. 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.
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.
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 3 October 2026 — this entry's latest reading, not the date you are reading this.
“🅥 缅甸头条新闻|东南亚新闻报社- International News” (@MDTTXW), 17,797 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/MDTTXW.
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.