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Channel
缅北 吃瓜(曝光)
@MBsss_1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,511subscribers
-164 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002832237184 |
|---|---|
| Type | Channel |
| Username | @MBsss_1 |
| Description | #菲律宾 #柬埔寨 #缅北 #迪拜 #吃瓜 热门曝光、吃瓜、新闻频道,关注不迷路 ✨✨✨广告投放: @DNYTG68 爆料客服: @DNYTG68 |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/MBsss_1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:05 | 16,511 | -17 |
| 11 Aug 2026, 19:08 | 16,528 | -14 |
| 10 Aug 2026, 16:07 | 16,542 | -125 |
| 9 Aug 2026, 14:15 | 16,667 | -8 |
| 8 Aug 2026, 12:05 | 16,675 | no change |
| 8 Aug 2026, 05:16 | 16,675 | first reading |
Engagement
16 posts held, back to 29 July 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 13 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.10%
- avg views ÷ 16,511 subscribers
- Avg views / post
- 181
- 16 posts measured
- Reaction rate
- 0.342%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 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 2 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 16 (29 July 2026 – 10 August 2026) |
| Views total | 2,900 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 00:55 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
- ≈8,560
- Videos
- ≈2,490
- Links
- ≈395
Lifetime counters from Telegram’s own channel header, read 13 August 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
- 3m 32s
- Average length
- 53s
Measured directly from 4 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 of the 16 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 July 2026 to 10 August 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
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东南亚新闻网-东南亚大小事-曝光骗子-吃瓜群众投稿,欢迎投稿,感谢广告赞助!关注频道不迷路 https://t.me/DNYXWWBG
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#国内资讯:超九成电诈转向App和网站 AI反诈提前拦截转账 7月29日,信息通信行业反诈中心披露,随着电话、短信等传统通信渠道持续整治,电信网络诈骗正加速向App、涉诈网站、云服务等互联网领域转移。目前,超过90%的诈骗案件依托App、涉诈网站等网络工具实施。 信息通信行业已累计核查处置涉诈高风险电话卡近2亿张、互联网账号超过4亿个。2025年,共拦截诈骗电话和短信近64.8亿次,处置涉诈域名网址超过1100.6万个。 工信部将继续加强App、云服务和移动智能终端的涉诈风险治理,完善全国一体化反诈技术防线,并持续推广“一证通查”、反诈名片、境外来电提醒和跨境通信服务按需办理等便民服务。 数据显示,自2025年10月以来,我国电诈案件发案数已连续9个月同比下降。今年9月,公安部将在全球公共安全合作论坛(连云港)2026年大会期间,举办国际打击电信网络诈骗联盟成立大会,目前已有40余个国家表态参与共建。 4月29日,由北…
❤1
#最新消息:戈公七星海抓了100多人,跑了10几个人,连带主管也跑了。 ——————————————— 热门曝光、吃瓜、新闻频道:@DNYXWWBG 关注不迷路 爆料客服: @DNYTG68
#国际资讯:联合国警告东南亚诈骗园区人口贩运激增 7月28日,国际移民组织在日内瓦通报,亚洲诈骗园区的人口贩运案件正在明显增加,受害者已涉及80多个国家。 国际移民组织表示,缅甸、柬埔寨和老挝的大型诈骗园区内,工作的人员最多可能达到30万人,其中数万人是被贩运后被迫参与网络诈骗的受害者。 犯罪团伙通常通过社交媒体发布虚假高薪招聘广告,专门吸引英语较好、受过高等教育的求职者出国工作。受害者抵达后,护照和其他证件会被扣押,并在非法拘禁、暴力、威胁和债务控制下,被迫从事虚假投资、网络交友等诈骗活动。 国际移民组织总干事艾米·波普表示,部分受害者还遭到性侵、单独囚禁等虐待,即使成功逃离或在执法行动中获救,也可能被当地执法部门当成诈骗嫌疑人调查甚至起诉。 2022年至2025年,国际移民组织已协助超过3500名被迫参与诈骗的受害者,他们来自近40个国家,其中印度尼西亚、印度、斯里兰卡、埃塞俄比亚、肯尼亚和孟加拉国公民较多。 国…
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#柬妹吐槽:在西港的部分中国男人,真的, 别丢人丢到国外来了,动不动就骚扰女孩子。 PS;说的就是群里某些狗推天天骚扰人家🤣 ——————————————— 热门曝光、吃瓜、新闻频道:@DNYXWWBG 关注不迷路 爆料客服: @DNYTG68
#群友爆料:这里有很多中国人,他们躲在房间里从事诈骗活动。如果有什么事情,物业会提前通知他们撤离。 这个区域,他们说这里本来就是中国人的地盘,是最安全的地方,没人敢进来查。这个地方是在缅甸大其力,以前叫“宝龙园区”,现在已经改成“宏城商场”。这里以前也被查过一次,关了一段时间,后来重新开业,变成了商场。 但还是让中国人偷偷进来租住。以前的名字“宝龙园区”,在缅甸大其力,现在是“宏城商场”。希望中国警方、缅甸相关部门过来好好检查这里。 ——————————————— 热门曝光、吃瓜、新闻频道:@DNYXWWBG 关注不迷路 爆料客服: @DNYTG68
#吃瓜:“机器人伴侣”正式上线,人类的孤独终结者来了? 男款机器人:西装一穿,发型一整理,妥妥霸总风上线! 女款机器人:不仅能换造型,还能化妆打扮,颜值管理直接拉满! 更离谱的是,它还搭载“养成系”情感大模型—— 从陌生人培养成“懂你的人”,从聊天陪伴到日常互动,主打一个陪你成长。 以前养宠物,现在养机器人; 以前谈恋爱靠缘分,现在靠系统更新; 以前怕对象生气,现在怕机器人提示“情感模块升级中” 不过提醒一下:该产品仅限成年人购买。 毕竟未来的恋爱关系可能变成: “亲爱的,你为什么不回我?” “抱歉,我正在重启恋爱程序……” 科技越来越近,孤独越来越远? 还是人类终于学会了和自己相处? 你会考虑拥有一个机器人伴侣吗? ——————————————— 热门曝光、吃瓜、新闻频道:@DNYXWWBG 关注不迷路 爆料客服: @DNYTG68
Showing the 12 most recent of 16 posts we hold for @MBsss_1. 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
Citation-graph rank — 957,808 of 1,160,990entries 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.
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.
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.
@DNYXWWBG · 7,34913 posts🍃【百晓生】素材馆
@sucaibxs · 51,1772 posts全球配送 礼物代购 代送礼物
@daisongxianhuaa · 101 post三国演义官方频道认准客服 @DQYYIDS
@DQGZAS · 30,0771 post91吃瓜反差新闻 sucai
@fcxhoi · 12,6501 postsucai 海外话术|国际话术|开单话术 huashu668
@haiwaihuashu688 · 18,4511 post【韩国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@hanguo_taotu_sucaiv · 13,2131 postHello GPT 智能翻译 销冠必备 官方频道
@Hello_GPTK · 20,5881 post后入 内射 sucai
@hrjdfh · 7,3321 post绘画 素描 彩绘 水彩 私人定制 人设代写
@huihua_sucai · 391 post美女诱惑短视频 sanguo
@lkotyd · 6,5601 post【美国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@meiguo_taotu_sucai0 · 11,9061 post美食素材圈
@meishi_sucaig · 5,8291 post美工证件ps 海报设计
@ps_zj · 241 post【日本素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@riben_taotu_sucaiv · 12,0571 post精选素材/海外素材/人设套图
@sucai_taotu135 · 60,1461 post【台湾素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@taiwan_taotu_sucaic · 6,8571 post人设套图【亚洲女】
@taotua_A1 · 11,7401 post人设套图【亚洲男】
@taotua_A2 · 13,7171 post人设套图【女私密】
@taotua_A5 · 8,3211 postTG助手官方-强拉-电报引流
@TG_zhushour · 11,7331 post旺财作图官方频道-作图选旺财,专业包发财💰
@wangcaizuoatu · 33,7421 post小丸子|频道出售|飞机直登号|浏览量|频道粉
@zhidenghaor · 101 post✨绘图大师·加密货币网银P图【其他均为病毒】 @huiitu
@zuantulc · 31,2271 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“缅北 吃瓜(曝光)” (@MBsss_1), 16,511 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MBsss_1.
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.