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Channel

东南亚大事件-悬赏曝光

@baoguang_12315

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

44,075subscribers

-7,145 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002553422228
TypeChannel
Username@baoguang_12315
Description🌴聚焦东南亚各国政治经济与社会新闻 ☎️商务合作: @xiaoxue847 #柬埔寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #越南 #东南亚 #吃瓜 #曝光 #头条
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/baoguang_12315

Topic

Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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.

Growth

42,30054,38548,342.57 August 2026 — 51,220 subscribers7 August 2026 — 51,220 subscribers8 August 2026 — 51,209 subscribers8 August 2026 — 51,528 subscribers10 August 2026 — 51,965 subscribers10 August 2026 — 52,317 subscribers11 August 2026 — 52,411 subscribers13 August 2026 — 52,442 subscribers14 August 2026 — 53,486 subscribers15 August 2026 — 54,004 subscribers16 August 2026 — 53,996 subscribers17 August 2026 — 54,385 subscribers18 August 2026 — 53,032 subscribers19 August 2026 — 52,884 subscribers21 August 2026 — 48,943 subscribers22 August 2026 — 48,678 subscribers24 August 2026 — 48,381 subscribers25 August 2026 — 48,067 subscribers26 August 2026 — 47,746 subscribers27 August 2026 — 47,575 subscribers28 August 2026 — 47,279 subscribers29 August 2026 — 46,818 subscribers30 August 2026 — 46,431 subscribers31 August 2026 — 46,286 subscribers1 September 2026 — 45,275 subscribers2 September 2026 — 44,892 subscribers3 September 2026 — 44,850 subscribers5 September 2026 — 43,062 subscribers8 September 2026 — 42,300 subscribers11 September 2026 — 42,960 subscribers13 September 2026 — 42,831 subscribers14 September 2026 — 43,141 subscribers16 September 2026 — 43,904 subscribers19 September 2026 — 44,075 subscribers44,0757 August 202619 September 2026
34 measurements spanning 43 days, net -7,145. 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 40,487–56,198 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 08:1944,075+171
16 Sept 2026, 21:4243,904+763
14 Sept 2026, 23:1843,141+310
13 Sept 2026, 10:1742,831-129
11 Sept 2026, 16:0142,960+660
8 Sept 2026, 22:4142,300-762
5 Sept 2026, 15:5743,062-1,788
3 Sept 2026, 14:2144,850-42
2 Sept 2026, 05:0444,892-383
1 Sept 2026, 06:4645,275-1,011
31 Aug 2026, 07:2246,286-145
30 Aug 2026, 05:0346,431-387
29 Aug 2026, 03:1246,818-461
28 Aug 2026, 03:2547,279-296
27 Aug 2026, 03:5547,575-171
26 Aug 2026, 05:4847,746-321
25 Aug 2026, 07:4748,067-314
24 Aug 2026, 05:1548,381-297
22 Aug 2026, 13:4448,678-265
21 Aug 2026, 01:5248,943first reading

Engagement

999 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.0%
avg views ÷ 44,075 subscribers
Avg views / post
9,680
592 posts measured
Reaction rate
0.011%
reactions ÷ views · ER floor
Posts in window
592
of 999 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 175 of 592 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 24 September 2026
Posts held999 (7 August 202624 September 2026)
Views total5,732,961
Reactions total185
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 10:12 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
8,130
Videos
750
Links
2,120

Lifetime counters from Telegram’s own channel header, read 24 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.

Video runtime
12m 14s
Average length
10s

Measured directly from 74 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

200 reactions across 189 posts, in 9 distinct kinds. The most used accounts for 22.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4522.5%
🔥2914.5%
2412.0%
2010.0%
🥰2010.0%
👏199.50%
🎉168.00%
🤩147.00%
😁136.50%

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 191 of the 999 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 200 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 999 most recent posts we hold, published 7 August 2026 to 24 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.

Recent posts

24 Sept 2026, 10:05 UTC8 viewsread 24 September 2026
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#暴力事件 #霹雳州 #家庭悲剧 9月23日下午约2时15分,马来西亚霹雳州江沙Kampung Cheh Hilir一间住宅内,一名49岁残疾妇女诺艾侬奥马被发现倒卧客厅,腿部有刺伤,浑身是血,经证实死亡。 江沙警区主任海沙姆哈伦助理总监指出,初步调查显示案件源于受害者与嫌疑人之间的分歧。警方在现场发现一把疑似作案用的刀具。死者与丈夫及三名同样为残疾人士的孩子同住。 9月24日,警方已逮捕两名男性家庭成员协助调查,案件援引刑事法典第302条文(谋杀) 调查。死者遗体送往太平医院法医部进行解剖,具体伤势及死因有待剖验结果确认。死者丈夫的妹妹苏丽雅娜透露,死者丈夫曾将妻子倒卧且满身是血的照片发送至家庭WhatsApp群组,她看到照片后大感震惊。

24 Sept 2026, 09:35 UTC≈8,530 viewsread 24 September 2026
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#诈骗案 #跨国犯罪 #洗钱 9月23日,一名27岁马来西亚籍男子Chin Hock Khan(绰号“大象”/Da Xiang)在新加坡法庭被提控。他被指控协调冒充政府官员的诈骗活动,并招募马来西亚人到新加坡收取受害者的现金和黄金。 新加坡警方与马来西亚皇家警察商业罪案调查部联手,于9月22日在马来西亚将“大象”逮捕,并于同日移交新加坡警方。初步调查显示,“大象”在马来西亚多次与至少4名马来西亚籍跑腿会面,分派任务、协调ATM取款并支付报酬。在他的指示下,这些跑腿将诈骗受害者处收取的金饰带回新山当面交给他。警方估计,“大象”至少清洗了50万新元(约合159万令吉)的诈骗及犯罪所得。 “大象”面临串谋协助他人保留犯罪所得的控状。根据新加坡《贪污、贩毒和其他严重罪行(没收利益)法》,一旦罪成,可被判处最长10年监禁、罚款最高50万新元,或两者兼施。新加坡警方表示,他们持续观察到马来西亚人前往新加坡协助诈骗团伙从受害者处收集现金和贵重

24 Sept 2026, 09:05 UTC≈7,720 viewsread 24 September 2026
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#纵火案 #砂拉越 #帮派暴力 9月24日,民都鲁区国会议员拿督斯里张庆信就砂拉越多个地区近期接连发生24小时便利店遭投掷爆炸物、纵火及蓄意破坏事件发表声明,促请警方严正看待并从跨地区、跨案件角度展开全面调查。 张庆信指出,从古晋、斯里阿曼至民都鲁,短时间内相继发生针对同一连锁便利店的袭击事件,情况令人关注。更令人担忧的是,部分事件发生时店内仍有员工及顾客,涉案者却仍将危险物品投入店内,严重威胁无辜人士的生命安全。 他强调,多起案件均涉及同一连锁便利店品牌,警方必须从多个层面深入调查,包括目标对象、作案手法、涉案人员关系,以及是否存在幕后策划或指使。张庆信表示:“如果连续发生针对同一品牌的袭击,就不能仅将每宗案件孤立处理。警方必须查明是谁策划、谁执行、为何针对这些商店,以及背后是否涉及有组

24 Sept 2026, 08:35 UTC≈9,760 viewsread 24 September 2026
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#毒品犯罪 #吉隆坡机场 #毒骡 9月23日,雪兰莪州总警长拿督沙泽利·卡哈尔在新闻发布会上宣布,警方于8月28日至9月21日期间在吉隆坡国际机场(KLIA)及雪邦周边地区展开10次突击行动,成功捣毁9个毒品贩运集团,缴获418公斤大麻花,市值约3340万林吉特,逮捕12名嫌疑人。 被捕人员包括1名本地男子和11名外籍人员(4男7女),年龄介于17岁至62岁之间,分别来自东亚、欧洲和南美洲。沙泽利指出,所有外籍嫌疑人均持社交访问准证入境,且没有犯罪前科,尿液检测对毒品均呈阴性。 调查显示,贩毒集团以工作机会和旅游套餐为诱饵,将外国人骗至马来西亚后,要求他们携带明显不属于自己的行李返回各自国家,毒品就藏在行李中。嫌疑人最终目的地为欧洲国家。沙泽利透露,集团不仅提供前往巴生谷的旅行套餐,还向每人支付高达6000林吉特的报酬。一名17岁外籍少年也被用作毒品快递员。 这批大麻估计足以供应139万名使用者一次性吸食。6名嫌疑人已在1952

24 Sept 2026, 08:05 UTC≈9,250 viewsread 24 September 2026
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#赌博犯罪 #曼谷 #跨国犯罪 9月23日傍晚6时20分,泰国内政部行政厅特别行动组(DOPA S.W.A.T.)突击搜查曼谷Din Daeng区Pracha Songkhro 14巷一处赌博窝点,逮捕53人,包括8名庄家和45名赌客。其中2名组织者为柬埔寨籍。 执法人员在现场缴获现金约35万泰铢、筹码约63.5万泰铢、高科技Hi-Lo赌博设备、老虎机以及大量赌博工具和账本。所有嫌疑人被送往Din Daeng警察局,面临“合谋组织赌博”和“合谋参与赌博”的指控,并将进一步调查是否涉及洗钱。 当地居民向记者透露,该赌博窝点仅开业3至4天,赌客大多不是本区居民,有人乘坐摩托车出租车前来。一名卖粿条的摊贩称,该地点多次被关闭又重新开业,内部提供食物和饮料,有时从早上9时营业到第二天清晨6时。 此次行动由内政部副部长Worrasit Liangprasit亲自指挥,体现了泰国政府整顿社会秩序、打击非法赌博和“灰色势力” 的政策方向。

24 Sept 2026, 07:35 UTC≈3,600 viewsread 24 September 2026
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🌟🌟🌟🌟🌟😀😀😀😀😀😀 🥳 本来只是随手试一把,没抱太大期待,没想到几局下来,节奏突然就来了,直接一路连爆! 😘 在V6娱乐,很多人都说爆奖靠运气,但真正玩久了才知道,稳定心态、控制节奏,才是关键,该收的时候收,该冲的时候冲,每一步都很重要。 ⛹️‍♂️ 稳得住,才能接得住属于自己的那一波大奖。 💥 有时候你以为只是试试,其实可能就是下一次起飞的开始。 💰不多废话,马上开局,大奖等你拿! 😘🌟🌟真人视讯 🌟🌟🌟彩票竞猜 🌟🌟🌟电子娱乐 🌟🌟🌟高倍爆奖 🌟🌟🌟棋牌竞技 🌟🌟🌟: V6.CC 🌟🌟🌟:@HT_V6 🌟🌟🌟:@V06_CC 🌟🌟🌟: htgj.vip 🌟🌟🌟🌟:@v6v6ccbot

24 Sept 2026, 07:35 UTC≈10,200 viewsread 24 September 2026
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#毒品犯罪 #泰国 #缉毒成果 综合泰国警方9月23日至24日通报,泰国缉毒部门在过去一周内累计缴获冰毒超过1.2吨,以及近1500万粒甲基苯丙胺(疯药)。 9月21日晚,高速公路巡逻警察在北榄府成功拦截一辆运输毒品的皮卡,在发电机内部查获760万粒合成毒品,逮捕4名嫌疑人。嫌疑人使用3辆汽车协同运输,前导车负责探测检查站。 9月22日,警方在华富里府查获约900公斤冰毒,藏匿于一辆豪华面包车中,逮捕4名嫌疑人。此外,春蓬府警方通过“假装关闭检查站”战术,于5月缴获519公斤冰毒,后续行动又查获超过1470万粒疯药,并逮捕主谋“Mew”。 泰国警方表示,将继续加强北部边境地区的缉毒力度。数据显示,2025年10月至2026年8月期间,泰国北部6个边境省份已缴获超过6亿粒合成毒品和超过22吨冰毒,合成毒品缴获量同比增长超过50%。

24 Sept 2026, 07:05 UTC≈11,700 views1 reactionsread 24 September 2026
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#暴雨灾害 #芭堤雅 #游客失踪 9月23日深夜至24日凌晨,泰国芭堤雅遭遇持续强降雨,多地发生严重内涝。芭堤雅市区多处道路被淹,包括素坤逸路、铁路旁路、Buakhaw巷、步行街等,水位高达1米,小型车辆无法通行,多辆汽车和摩托车在水中熄火。 凌晨5时许,救援人员接到报告,在Nong Prue区Soi Mab Yai Lia 45附近,3名外国游客在涉水行走时,因不熟悉路况,2人坠入运河。一名17岁目击者称,他成功拉起了其中一人,但另一人被水流冲走失踪。救援人员正在沿运河搜寻失踪者,其国籍尚在确认中。 芭堤雅市政府已派出工作人员在积水路段疏导交通并提醒民众注意安全。泰国气象厅此前已发布预警,9月24日至27日泰国多地包括曼谷及周边、东部和南部将出现大到特大暴雨,安达曼海和泰国湾上游浪高2至3米,雷暴区域超过3米。

🎉1

24 Sept 2026, 06:35 UTC≈9,710 viewsread 24 September 2026
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#毒品犯罪 #春蓬府 #大型缉毒 泰国春蓬府警方联合肃毒委员会第三区,成功破获一起特大毒品运输案,缴获519公斤冰毒及近1500万粒甲基苯丙胺(疯药),逮捕包括主谋“Mew”在内的多名嫌疑人。 案件源于2026年5月13日,警方接到线报称有大宗毒品过境。调查人员设计了一项心理战术:命令检查站人员假装撤离并关闭检查站,仅留两名警员,使毒品运输车队的前导车误以为路线安全。当运毒皮卡进入后,警方迅速包围,在车厢内12个黑色麻袋中查获519包“金马”品牌冰毒,重达519公斤。 被捕司机供认受雇将毒品从那空那育府运往宋卡府,再走私进入马来西亚,每趟报酬5万至10万泰铢。后续调查又捣毁了两个大型毒品仓库,累计缴获超过1470万粒疯药。9月22日,警方在那空叻差是玛府逮捕了主谋“Mew”及其司机,查获两辆皮卡、五辆摩托车、五件金饰及价值约300万泰铢的房产。

24 Sept 2026, 06:04 UTC≈12,000 viewsread 24 September 2026
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#司法判决 #飙车 #曼谷 9月23日,泰国曼谷廊曼地方法院对在Vibhavadi Rangsit路飙车的“TEENOSIE”团伙4名被告作出判决,每人被判处1个月监禁及1万泰铢罚款,监禁缓期执行一年。 法院还判处以下附加措施:每人需向当局报到4次、完成24小时社会服务、吊销驾照180天、佩戴电子监控设备(EM)15天,并禁止在晚上10时至凌晨4时之间离开住所。此外,法院下令没收4辆涉事车辆充公,车辆总值超过400万泰铢。 案件源于警方在Vibhavadi Rangsit路进行酒精检查时,发现该团伙车辆高速竞驶。警方未骑摩托车追捕,而是通过CCTV录像收集技术证据,最终锁定并起诉全部4名违法者。交通警察部门借此警告:公共道路不是赛道。

23 Sept 2026, 15:03 UTC≈9,620 viewsread 24 September 2026
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#司法判决 #薄寮省 #医院暴力 9月22日,越南金瓯省第六区域人民法院对发生在薄寮省综合医院急诊科的“扰乱公共秩序”案作出判决,6名被告被判处总计14年有期徒刑(其中3年为缓刑)。 被判处实刑的被告包括:胡成禄(2001年生)3年;胡文辉(2005年生)、陈通(1986年生)、陈当(1981年生)、丁文友(1992年生)各2年。胡德胜(1977年生)获3年缓刑。 值得注意的是,被告中有父子三人——胡德胜及其两个儿子胡成禄和胡文辉。 案发于2024年12月5日晚11时30分许,两伙人因个人矛盾在薄寮省综合医院急诊科前聚集,互相辱骂、叫喊并追打。其中胡文辉、丁文友、陈通、陈当等人还使用铁棍作为凶器斗殴。更严重的是,部分人员在被送入急诊科处理伤口后,仍态度嚣张,继续跑出去打斗“支援同伙”。 医院出具的确认文件指出,该群体的行为侵犯了医院的诊疗规章,给正在工作的病人、家属和医护人员造成了极大的心理不安,严重影响了病人的救治工作。

23 Sept 2026, 14:50 UTC≈7,770 viewsread 24 September 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7657066955

Showing the 12 most recent of 999 posts we hold for @baoguang_12315. 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.

Posts edited after publishing

@baoguang_12315 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 September 2026
Most recent edit
21 September 2026

Mentions

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件-悬赏曝光” (@baoguang_12315), 44,075 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/baoguang_12315.

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.