Channel
@MBRJ0
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
64,675subscribers
+4,207 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001667476243 |
|---|---|
| Type | Channel |
| Usernames | @kebug @MBRJ0 @txbtx @txbyt @yatai2029 @yatainv |
| Description | 专注缅北、东南亚及亚太地区真实资讯 每日更新本地动态、生活观察、社会热点与新闻资讯 客观记录｜真实视角｜合规内容 #缅北日记 #东南亚新闻 #亚太新闻 #缅甸生活 #东南亚资讯 #头条事件 https://t.me/MBRJ0 缅北 亚太 二手 @mdes8 商务合作/投稿曝光； @lei77 This channel strictly abides by the relevant protocol guidelines of the Telegram community. False rum |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/MBRJ0 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 02:18 | 64,675 | no change |
| 3 Sept 2026, 00:18 | 64,675 | -29 |
| 2 Sept 2026, 22:17 | 64,704 | -40 |
| 2 Sept 2026, 18:39 | 64,744 | -101 |
| 2 Sept 2026, 08:46 | 64,845 | -17 |
| 2 Sept 2026, 07:46 | 64,862 | -193 |
| 1 Sept 2026, 21:53 | 65,055 | no change |
| 1 Sept 2026, 20:48 | 65,055 | no change |
| 1 Sept 2026, 19:34 | 65,055 | no change |
| 1 Sept 2026, 18:24 | 65,055 | -166 |
| 1 Sept 2026, 05:56 | 65,221 | -152 |
| 1 Sept 2026, 04:24 | 65,373 | no change |
| 1 Sept 2026, 01:19 | 65,373 | no change |
| 31 Aug 2026, 21:17 | 65,373 | -56 |
| 31 Aug 2026, 18:46 | 65,429 | -6 |
| 31 Aug 2026, 17:48 | 65,435 | -164 |
| 31 Aug 2026, 04:17 | 65,599 | no change |
| 31 Aug 2026, 01:24 | 65,599 | no change |
| 30 Aug 2026, 22:02 | 65,599 | no change |
| 30 Aug 2026, 21:18 | 65,599 | first reading |
594 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 60 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 262 of 494 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 594 (7 August 2026 – 3 September 2026) |
| Views total | 2,539,446 |
| Reactions total | 3,537 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 04:20 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 3 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.
Measured directly from 165 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.
3,537 reactions across 261 posts, in 9 distinct kinds. The most used accounts for 99.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3,516 | 99.4% | |
| 🤣 | 5 | 0.141% | |
| 🌚 | 4 | 0.113% | |
| 🤡 | 4 | 0.113% | |
| 🤨 | 4 | 0.113% | |
| 😁 | 1 | 0.028% | |
| 😭 | 1 | 0.028% | |
| 🥴 | 1 | 0.028% | |
| 🫡 | 1 | 0.028% |
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 262 of the 594 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 3,537 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 594 most recent posts we hold, published 7 August 2026 to 3 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MBRJ0. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 594 most recent posts we hold for this entry, published 7 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#网友投稿 老挝万象 三江阿玛尼酒店 看门狗“老杨”，办公场地 Long Vien Golf Club 高尔夫球场里三联排别墅，三江阿玛尼酒店11楼，收取天价物业费。 一开始拍着胸脯保证场地多安全，还展示了他们在老挝跟公安部合照的照片，出了问题，人直接玩消失，押金不退，也不给个处理方式。幕后老板躲起来拖延时间。 以上是你们场地、车牌号跟你的老挝本地女朋友照片。再不出来处理，我还会持续曝光你们的场地高清照和大头照。现代是你老杨的，商务车是阿玛尼酒店专门接人的车，还有一台现代商务车也是。 他的飞机、WS都是单独对接的，准备随时跑路玩失踪。 目前他们还有其他物业还在继续运作，请老挝公安部和中国公安严查三江阿玛尼酒店，里面目前还有很多打野的盘口，有找他们拿办公场地的兄弟们注意了！ #缅北日记 #亚太新闻 #东南亚新闻 #头条事件 ➖➖➖➖➖➖➖➖➖➖➖➖ 关注缅北日记😄 @MBRJ0 投稿：@Lei77
#掸邦北部腊戌 木邦公路发生车祸 致一死一伤 9月2日晚约8时10分，腊戌—木邦联邦公路，满苏广场酒店前发生一起交通事故。 接市民求助后，救援人员赶赴现场，确认事故造成1名儿童受伤、1名男性死亡 伤者已送腊戌人民医院急诊科救治，死者遗体已送往太平间。 #缅北日记 #亚太新闻 #东南亚新闻 #头条事件 ➖➖➖➖➖➖➖➖➖➖➖➖ 关注缅北日记😄 @MBRJ0 投稿：@Lei77
#网友投稿 这段时间，缅甸“小勐拉”又抓了300-400人，都是悄悄抓捕，我朋友在勐拉失踪了四天，我托人去警察局问才知道抓起来了，前两天人已经送回中国了。 这些被抓的都是从老挝和柬埔寨回流缅甸的，抓捕都是针对性的抓，抓完以后直接国门移交。
#网友爆料 一下一下给人家老公，打电话前几个月乐，人家老婆把她的微信删了两次了，微信里面说不了，又打电话叫我老公出去跟他玩！ 这个女你们好好看一下，她在木姐呢，不要脸的女人 想找小三， 朋友们去要小三的可以联系，臭不要脸的这个女人
#劫杀朋友母亲案告破 嫌犯因网赌输钱行凶 8月28日晚，仰光巴汉镇一名54岁女性在家中遭人刺死，金饰被劫。警方于9月2日在彬乌伦抓获20岁嫌犯年梭。 经查，嫌犯系死者儿子的朋友，因玩在线老虎机输钱缺钱，遂起意抢劫。案发当日趁死者开门时持刀行刺，随后抢走金饰。目前警方已依法立案追责。
#网友投稿：讲讲我被绑架的经历（真实故事）不要和陌生人说话！ 在柬埔寨待了有快4年，自认为也算是富有生活经验的一名老狗推，但是后来想想，其实大部分时间在园区渡过，哪有什么经验。 某天晚上，我在金边一家本地酒吧喝酒，我是一个人去的。坐了一会儿以后，有个男的过来跟我聊天，他也是中国人，就问我来柬埔寨多久了，做什么的，住在哪里这些。我当时觉得也没什么（毕竟这边大家都是一些虚假信息和身份，无关紧要），再说也就是聊天还能怎么样。 后来他还说自己在这边做生意，认识很多人，怎么怎么的，也是因为现在的局势不好，天天一个人在金边，喝点小酒。再后来就要和我加个联系方式，出于礼貌，也不好意思拒绝，就加了一个。 过了几天，他又找我，说晚上一起喝酒。我本来是不太想去的，也不太敢去，但是他说还是上次那个酒吧，这我听了就感觉也没什么，我就去了。 这次聊的就多了，有没有女朋友，在这边有没有什么朋友，什么时候回国，我当时也都说了，半真半假。 就这样一…
#网友吐槽 为什么很多扶手女觉得自己怀孕了，然后找金主要300万人民币买个生活保障，这事很正常？ 我作为东南亚拥有8年之久的观察员身份，说出这些“扶手”对这个所谓的生活保障要300万，大致内心想法方向，去说一个事实： 你无非就是以怀孕的名义去赚到一笔比你以往做（扶手、全球空降兵）更高的报酬罢了。以怀孕的名义去争取300万的天价生活保障费，真当自己的逼长金了？ 我们来举个例子：王思聪前女友黄一鸣为王思聪生下一女，而王家才对外公开说，因为孩子的原因，每个月才给予部分的抚养费。而你作为一个扶手，现在也只是怀个孕而已，你张口就是要300万。 往远的说，你无非就是想赚到这一笔，然后直接退圈。往近的说，你无非就是想赚到这笔钱，然后把小孩打了，之后潇洒个一年半载，先满足自己的那个虚荣心，然后重操旧业罢了。 真当自己是人上人了，还要300万？你怎么不学景甜，要孙宇晨5000万呢？给你三五十万就很不错了，打胎才几个钱？别蹬鼻子上脸，怀…
#网友曝光 此人，艺名“小北”，湖南人，十几岁跑到缅北干诈骗，骗自己同村的未成年到缅北。 此畜牲心狠手辣动不动把同村的未成年往死里打，下手完全不留情面。 后面缅北严打转到柬埔寨，因为不干人事忽悠同乡被绑，打得鼻青脸肿求人救他，后被弄到七星海因为政策原因自由。 结果此畜牲狗性依然不改，好吃懒做，坑蒙拐骗，后被抓送回国。 结果回国还是一如既往，说自己出事要跑路，以此为借口理由，骗取信任的朋友2万多人民币，钱不多但是做法很恶心。 一天到晚到处装逼逢人就说自己混得多好，其实都是为了铺垫从而各种坑蒙拐骗，认识的朋友基本都被此狗坑过骗过。 希望东南亚的朋友擦亮眼睛，希望国内公安好好调查此畜牲，避免国内更多人被此畜牲坑害。 还有22年他带出来的一批同村的未成年有些已经失联，忘严惩此贼。 #缅北日记 #亚太新闻 #东南亚新闻 #头条事件 ➖➖➖➖➖➖➖➖➖➖➖➖ 关注缅北日记😄 @MBRJ0 投稿：@Lei77
#男子偷拍女生洗澡被围捕判刑 今日（9月2日），一名男子因在女性宿舍后墙打孔，用手机偷拍女生洗澡，被当场发现。周围民众随即将其围堵并责打，致其受伤。目前该男子已被依法判处监禁。 此类偷拍事件虽在网上屡见不鲜，但此次受害者未选择沉默，果断采取行动维权，最终使其受到法律制裁。
#网友曝光 这个人之前在东风园区鸿升公司担任引流手、聊天手组长、总监，名字叫贪狼。 在东风园区打击的时候跑出来到了阿波罗，在阿波罗名字叫超神。 然后搬到亚太跑路了，担任组长，名字换成沐川。 再不处理，曝光家庭户口地址。 #缅北日记 #亚太新闻 #东南亚新闻 #头条事件 ➖➖➖➖➖➖➖➖➖➖➖➖ 关注缅北日记😄 @MBRJ0 投稿：@Lei77
#网友投稿 我们在2025一起住在SKK- FGY工作。 2026/3月我们一起回到原公司工作，我们一起合作从中得到一些钱，简单来说就是偷公司客户钱，3月到6月得到差不多300万泰铢。 说好分润他给我100万泰铢，因为公司后面监督他，然后辞退了他。他说他没有盗客户钱，我也在瑟瑟发抖，那时下班后联系他，他说会在给我50万泰铢，到目前为止两个月了联系不上也屏蔽了我。 现在我打听到他去了四号地这里一家公司工作，老板名字叫翔哥，我想说贵公司要注意工作时间偷账方式，我们可以直接转账给客户购买U的商人名字叫翔哥，我想说贵公司要注意工作时间偷账方式，我们可以直接转账给我们的商户。 客户身份他被原公司辞退前团队合伙人目前也在，但是不确定有联系吗，这样的人吃独食自私。 银行账户至少是2亿缅币，我现在也跑路了不敢留下来了，只是希望提醒公司和他合作的要注意，他说话是不可信的，如果有问题全部把问题推给你，照片、身份证我会发给你。 个人资讯…
#网友曝光 广西人陈裕杭，化名可乐，2026年柬埔寨做诈骗，因柬埔寨严打逃蹿至老街继续作案，在老街开始行骗身边的朋友。 第一个行骗对象是我兄弟，我兄弟回来路费被可乐骗去吃喝玩乐开包厢，最后我接了我弟回来。 随后我本人跟到老街找这个可乐，知道我弟回来了，纸包不住火，主动来解决问题，骗他当时女朋友卖了车，还了我弟钱！ 我觉得事情处理了就好了，第二天可乐又主动喊我去包厢，在包厢说他朋友需要用1.8万可以把他车压这里，用一下明天还我，我说车不用压，明天钱给我就好了，结果这比钱一拖在拖。 后面知道这个陈裕杭卖了他老街女朋友的车，以及电脑，以及他猛拉上来找他另一个女朋友的手机和电脑，统统被他借用名义卖掉，全部用于嫖娼和包厢，骗我的钱也用于开包厢继续骗其他老街女孩子，下作这样真的无法想像，最终被他女朋友报警抓进治安大队。 从老街治安大队出来以后就伙同他人逃窜至瓦邦实施诈骗，现在瓦邦境内做国内资金盘。 瓦邦盘口的老板看清楚此人真面…
Showing the 12 most recent of 594 posts we hold for @MBRJ0. 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.
Citation-graph rank — 398,827 of 1,630,085 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 3 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.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“缅北日记|亚太新闻|东南亚新闻|头条事件” (@MBRJ0), 64,675 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/MBRJ0.
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.