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Channel

东南亚每日事实新闻曝光

@mrbg888

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

26,311subscribers

+11,014 since we began measuring on 2 September 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003933336781
TypeChannel
Username@mrbg888
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live3 November 2026
Measurements held32
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/mrbg888

Topic

National 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 17 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 the other topics.

Growth

15,29745,13030,213.52 September 2026 — 15,297 subscribers3 September 2026 — 15,297 subscribers9 September 2026 — 45,130 subscribers11 September 2026 — 45,109 subscribers13 September 2026 — 45,007 subscribers15 September 2026 — 44,982 subscribers17 September 2026 — 44,931 subscribers19 September 2026 — 44,625 subscribers26 September 2026 — 44,584 subscribers4 October 2026 — 44,494 subscribers9 October 2026 — 37,055 subscribers13 October 2026 — 36,070 subscribers14 October 2026 — 35,273 subscribers15 October 2026 — 34,331 subscribers16 October 2026 — 34,303 subscribers17 October 2026 — 34,297 subscribers18 October 2026 — 34,280 subscribers19 October 2026 — 34,195 subscribers20 October 2026 — 34,183 subscribers21 October 2026 — 34,169 subscribers22 October 2026 — 34,113 subscribers24 October 2026 — 34,006 subscribers25 October 2026 — 33,980 subscribers26 October 2026 — 33,536 subscribers27 October 2026 — 33,528 subscribers28 October 2026 — 33,479 subscribers29 October 2026 — 33,435 subscribers30 October 2026 — 33,387 subscribers31 October 2026 — 26,855 subscribers1 November 2026 — 26,809 subscribers2 November 2026 — 26,349 subscribers3 November 2026 — 26,311 subscribers26,3112 September 20263 November 2026
32 measurements spanning 62 days, net +11,014. 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 10,822–49,605 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
3 Nov 2026, 12:2926,311-38
2 Nov 2026, 11:1726,349-460
1 Nov 2026, 11:2426,809-46
31 Oct 2026, 10:4526,855-6,532
30 Oct 2026, 10:2833,387-48
29 Oct 2026, 09:1733,435-44
28 Oct 2026, 04:5733,479-49
27 Oct 2026, 03:1433,528-8
26 Oct 2026, 00:3833,536-444
25 Oct 2026, 00:2733,980-26
24 Oct 2026, 00:4534,006-107
22 Oct 2026, 21:3034,113-56
21 Oct 2026, 15:1634,169-14
20 Oct 2026, 12:4634,183-12
19 Oct 2026, 11:1934,195-85
18 Oct 2026, 14:2634,280-17
17 Oct 2026, 15:0634,297-6
16 Oct 2026, 16:4134,303-28
15 Oct 2026, 15:4834,331-942
14 Oct 2026, 16:3635,273first reading

Engagement

985 posts held, back to 2 September 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 93 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.75%
avg views ÷ 26,311 subscribers
Avg views / post
1,510
477 posts measured
Reaction rate
1.50%
reactions ÷ views · ER floor
Posts in window
477
of 985 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 453 of 477 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 26 October 2026
Posts held985 (2 September 2026 – 26 October 2026)
Views total721,764
Reactions total10,752
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Oct 2026, 03:34 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

Video runtime
2h 40m
Average length
48s

Measured directly from 200 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

21,838 reactions across 928 posts, in 9 distinct kinds. The most used accounts for 11.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,51811.5%
🤩2,49311.4%
🔥2,48611.4%
🎉2,43311.1%
😍2,42611.1%
❤‍🔥2,39811.0%
💯2,38710.9%
👍2,36510.8%
🥰2,33210.7%

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 928 of the 985 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 21,838 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 985 most recent posts we hold, published 2 September 2026 to 26 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

26 Oct 2026, 03:26 UTC1 views47 reactionsread 26 October 2026
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缅甸南坎市诈骗园区增多 10·27军事行动后,南坎市由PSLF/TNLA移交管辖,如今中国诈骗团伙与TNLA合作,大规模涌入并占据地盘。 以下地点均为诈骗园区: 1. 康萨街区F5 KTV旧址(ကောင်းဆာရပ်ရှိ F5 KTV နေရာဟောင်း) 2. 曼纳娱乐厅(မန့်နားဖျော်ဖြေရေးဝိုင်း) 3. 昂梅达街区酒店(အောင်မေတ္တာရပ်ကွက်ရှိ ဟိုတယ်) 4. 德耶贡村TNLA达玛瓦竹林院(သာယာကုန်းရွာရှိ TNLA တားမတ်ဝါးခြံဝင်း) 5. 霍纳村麦尼埃院(ဟိုနားရွာရှိ မိုင်းညီအေး ခြံဝင်း) 此外还有其他尚未能曝光的园区。从外表看难以辨认,以赌场、KTV等其他业务作掩护,TNLA士兵为其提供全面安保。 据可靠的人民消息和民众反映,所谓“打击诈骗行动”实为破坏村镇、从事诈骗业务。

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26 Oct 2026, 02:23 UTC1 views25 reactionsread 26 October 2026
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#网友投稿 #旺旺平台 旺旺平台 有客户进来输了5万 给我拉新就是88. 代理说下就下,导致代理一份提成没有,我帮朋友登陆领频道红包,他说我设备关联相同,这他妈的我又没套你们彩金又没要你们特邀,就是直接摆明了黑,玩家正常优惠活动也不给申请,说什么最终解释权他们说了算,大家无论是代理也好 玩家也罢,逼雷旺旺娱乐。旺旺娱乐代理费说黑就黑,大事件各大频道还被收买了不给报

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26 Oct 2026, 01:23 UTC1 views27 reactionsread 26 October 2026
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柬埔寨“电诈银行”有多少?仍有2家还在运营 柬埔寨太子银行等多家与电诈集团有关的银行接连倒闭,今年在柬埔寨引起广泛关注。但据媒体最近报道指出,目前还有两家与电诈集团有关的银行仍在继续运营。 有组织犯罪与腐败报道项目(OCCRP)报道称,柬埔寨参议员兼富商符国安(Kok An)因为涉嫌网络诈骗活动今年4月被美国财政部制裁,但他旗下的安科专业银行(Anco Specialized Bank)目前仍在运营。 有组织犯罪与腐败报道项目(OCCRP)指出的另一家银行则是邓丕兵旗下正恒集团的子公司BIC银行。 邓丕兵目前正因半岛电视台关于七星海长湾的卧底调查备受舆论关注,相关的纪录片视频片段在柬埔寨社交媒体引发病毒式传播,此前对园区电诈知之不详的柬埔寨民众对视频中展现出来的电诈内幕感到震惊。 据有组织犯罪与腐败报道项目(OCCRP)调查,BIC银行去年更名为iBank,董事长为柬埔寨前副总理严才利之子、富商严礼(Yim Leak)…

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26 Oct 2026, 00:24 UTC1 views31 reactionsread 26 October 2026
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#群友投稿 🇦🇲【A8体育】现更名为(寰亚体育)⚽️5月份的招聘提成到现在都不发❗️再不处理,就把老板、股东信息爆出来了‼️ 目前盘口:T1体育(马来吉隆坡) 寰亚体育(🇦🇲亚美尼亚)即将搬新地方 和888盘口(马来新山)。 听说你们要离开亚美尼亚搬其他地方,你们到现在还不乐意处理提成,做个信誉盘 做到你们这种的也太没信誉了 该跑路的跑路 该贪污的贪污 拿着招聘的工资去挥霍,一直不发。 值班号 打包票说会处理,今天说明天 明天又说后天 后天又说15号,10月快结束了,还是没影。 这些钱是不是你们几个高层把钱贪污进口袋自己去KTV玩了 你们缺个几把钱,在外面消费都是6位数人民币起,招聘兄弟们的钱 才几个逼钱 你们就这么搞,一点格局都没有。 A8 CEO;超越 常乐 小轩 A8股东;值班客服 888盘口;值班客服-KD(运营负责人) T1CEO:百万,李文彬 T1部长:阿浩 A8部长:希文 给你们三天时间 把钱给处理 不…

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25 Oct 2026, 14:34 UTC1 views20 reactionsread 25 October 2026
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#泰国资讯:中国女子遭诱骗掳往泰边境,跳车逃生,两名嫌犯被捕 10 月 24 日,泰国旅游警察联合南奔府李派派出所办案,先后在达府湄拉玛县、清迈府多伊萨格特县抓获两名克伦族男子。二人受雇于一名中国籍头目,属于 “爱情诈骗” 绑架勒索团伙。 案件发生在 9 月 29 日,一名中国女游客遭诱骗赴泰,抵达之后坐上嫌疑人车辆,随即手机被没收,人身遭到控制,团伙计划将她送往边境,向其国内家属勒索赎金。车辆行驶至南奔府李派县途中,受害者趁嫌犯疏忽,从行驶车辆跳车逃生,身受受伤,被当地民众送医救治,嫌犯抢走财物后逃窜。 两名嫌疑人长期居住达府边境,熟悉边境小道,作案途中会更换车辆规避盘查。嫌疑人交代,平时务农,农闲时就受雇非法帮人转运人员,单次酬劳 5000‑15000 泰铢。 泰国警方表示,会继续深挖,追查该犯罪网络其余涉案人员。

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25 Oct 2026, 14:14 UTC≈2,180 views40 reactionsread 25 October 2026
Forwarded from @hqbgbVideo

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25 Oct 2026, 13:35 UTC1 views20 reactionsread 25 October 2026
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#群友反馈:此人代号叫王洋,真实名字张浩山东济宁,在马来西亚做韩国盘,我们来的时候公司都还没开始,要人我上人,他说上多少我上多少,公司6.1号被抓了,现在都还没处理好,一次一次骗。 第一次说几天就可以出来,我们相信他了,后面进去坐牢了又说8.13能处理好,后面也是没处理好,坐牢一个月生活费给150马币,这个是人做出来的事吗? 保释金8000马币公司不管,都自己找家里要钱,出来还没上班都还没开始赚钱,出来了生活也不管什么都不管,10月23说开庭打无罪,10月23开庭后又拖到明年。 现在我们要认罪回去,罚款移民局的钱一起11500马币,公司不管还不回信息,打电话也不接,出来一次没赚钱不说,牢也做了钱也花了,真他妈不是人啊。

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25 Oct 2026, 13:28 UTC≈2,170 views20 reactionsread 25 October 2026
Forwarded from @hqbgbPhoto

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25 Oct 2026, 12:35 UTC≈2,080 views20 reactionsread 25 October 2026
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柬埔寨再驱逐36名涉网络诈骗的越南籍人员🎁 昨天,柬埔寨移民总局通过特邦克蒙省特庞普隆国际口岸,将36名(含12名女性)涉嫌非法滞留、非法务工及从事网络诈骗的越南籍人员驱逐出境。 当局强调,绝不允许违法犯罪分子利用柬埔寨领土从事网络诈骗或危害区域与全球安全的犯罪活动,当局将持续清理、打击并无例外地驱逐违法人员,以维护国家声誉与安全。

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25 Oct 2026, 11:34 UTC≈2,100 views20 reactionsread 25 October 2026
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#中越执法合作 一名中国籍在逃人员潜逃越南后被当地警方抓获! 越南海防市公安局通报,1969年出生的中国男子方志忠(音译)因受到中国公安机关通缉,涉嫌为躲避追查逃往越南,并藏身于海防市海安坊一带。 当地警方于9月21日将其抓获,调查还发现,他此前未经合法出入境手续进入越南。越南警方随后依法对其作出行政处罚,并附加驱逐出境。

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25 Oct 2026, 10:45 UTC1 views20 reactionsread 25 October 2026
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#缅甸资讯 缅甸掸邦东部孟敦查获99名中国籍人员,涉嫌网络诈骗及赌博 10月23日,据缅甸方面消息,掸邦东部孟敦(Mong Htwam)附近一处疑似涉及网络诈骗及赌博活动的场所遭执法人员突击检查,现场共有99名中国籍人员被抓获,其中包括95名男性和4名女性。 据通报,10月21日下午4时30分左右,执法人员在距离孟敦镇东北方向约3600米处的一栋铁皮建筑内展开行动。该建筑长约100英尺、宽约50英尺,现场人员及相关设备一并被查获。 此次行动中,执法人员共查获一体机电脑13台、各类手机193部、Starlink(星链)卫星通信设备2台、桌子23张及椅子92把。 通报指出,目前相关部门将对被捕人员进行进一步审查,并在调查结束后依法追究相关人员的法律责任。至于现场查获的电子设备及其他涉案物品,也将按照相关法律规定和程序作进一步处理。 此次行动再次引发外界对缅甸边境地区网络诈骗及非法赌博活动的关注。案件后续进展,以及被捕人员是…

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25 Oct 2026, 09:34 UTC1 views21 reactionsread 25 October 2026
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#小姐姐爆料 亚太B5-3公司对待模特如同对待清洁工 #B5-3 是一家来自柬埔寨的新成立公司,在亚太地区没有任何经验。根据我的亲身经历,这家公司在管理、对待员工和模特的方式 以及基本工作规则方面都存在诸多缺陷。 我以模特的身份加入了这家公司。入职时,他们承诺3-4天内给我安排一间单人房,并表示如果我表现出色,会给我佣金。我的起薪是10万泰铢。工作环境和生活条件 我刚入职时,公司里只有两名缅甸籍清洁工和一名翻译,其余员工都是100多名中国人。公司采用的是集体管理结构,甚至连谁是真正的领导都不清楚。公司里有很多领导、老板和主管之类的角色 工作室也非常狭小。工作室和宿舍还在施工,他们说三四天应该没问题,但我却在一个隔音效果差、门还坏了的小房间里工作了一个半月。楼完工后,工作室和宿舍被合并成一个房间。我不得不睡在工作室里,所以每天都睡不好,因为外面施工人员放的DJ音乐吵得我睡不好。加班 工作时间只写着晚上10点到早上10点,但我…

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Showing the 12 most recent of 985 posts we hold for @mrbg888. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚每日事实新闻曝光” (@mrbg888), 26,311 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/mrbg888.

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.