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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

45,529subscribers

-5,691 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 live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 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 subscribers26 September 2026 — 45,529 subscribers45,5297 August 202626 September 2026
35 measurements spanning 49 days, net -5,691. 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 35
Measured (UTC)SubscribersChange
26 Sept 2026, 00:3845,529+1,454
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, 13:4448,678first reading

Engagement

1,259 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.8%
avg views ÷ 45,529 subscribers
Avg views / post
9,920
692 posts measured
Reaction rate
0.011%
reactions ÷ views · ER floor
Posts in window
692
of 1,259 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 251 of 692 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 2 October 2026
Posts held1,259 (7 August 2026 – 2 October 2026)
Views total6,862,974
Reactions total266
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 23:47 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
≈8,380
Videos
≈751
Links
≈2,140

Lifetime counters from Telegram’s own channel header, read 2 October 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
17m 43s
Average length
11s

Measured directly from 95 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

311 reactions across 295 posts, in 9 distinct kinds. The most used accounts for 20.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6420.6%
🔥4614.8%
❤3410.9%
⚡3310.6%
🥰319.97%
🎉289.00%
👏289.00%
🤩268.36%
😁216.75%

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 296 of the 1,000 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 311 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 19 August 2026 to 2 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

2 Oct 2026, 18:20 UTC≈13,800 views2 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 骗子借口买酒搭话 问吉隆坡地区半天只想到大城堡 吉隆坡这名骗子借口要买酒搭话,不断诱导转到WhatsApp或者其他交友软件聊天,聊着聊着就想发展交友关系,对方连吉隆坡地区都不熟悉 问他区域,想了20分钟才说出大城堡,破绽直接暴露。提醒大家遇到这类主动搭讪的陌生人,提高警惕,小心网恋沙猪盘。

❤1🤩1

2 Oct 2026, 18:15 UTC≈12,600 views2 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 曝光吉隆坡欠债女子迟迟不履行还款承诺 吉隆坡这名女子被债主曝光,欠下款项之后一直拖延,多次私下沟通协商,对方始终没有兑现还款承诺,债主公开喊话,希望当事人主动出面 好好处理债务问题,尽快还清欠款。也提醒大家金钱往来一定要谨慎,保留好相关凭证,保护自身财产权益。

❤1🔥1

2 Oct 2026, 18:07 UTC≈11,700 views1 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 真实经历提醒 警惕陌生人上门收取各类服务费 吉隆坡一名戴口罩男子上门,声称之前来院长家做窗帘工程,前来收取RM400费用。但院长本人并没有委托相关工程,也不认识这名男子,幸好当时老师没有现金,才没有给钱。 这件事也给大家敲响警钟。遇到陌生人上门收取工程费、服务费,哪怕对方说辞听起来很笃定,也不要马上付款,一定要先核对、确认事情真伪

⚡1

2 Oct 2026, 18:00 UTC≈12,000 views1 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 社交平台私下订餐风险高 吉隆坡民众务必警惕 吉隆坡网友爆料朋友在脸书Facebook下单订餐,完成付款之后,卖家不再回复消息,电话也不接,食物一直没有送达,也没有任何解释 提醒吉隆坡的朋友们,社交平台私下交易风险很高,网购食物尽量选择正规商家,谨防遇到收钱跑路的卖家。

🔥1

2 Oct 2026, 17:50 UTC≈9,920 views2 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 曝光Jasmine Liew假借食物卫生问题向餐 饮店索要赔偿 吉隆坡这家餐饮店不慎中招,顾客投诉食物有苍蝇蛋、吃完肚子不舒服,店家没有仔细查证就退款并且赔付医药费事后店家上网查证 发现此人在8月16日也有同类投诉记录,疑似同一惯犯。提醒餐饮同业,遇到卫生索赔,务必先保留证据核实情况,不要急于赔偿。

⚡1🎉1

2 Oct 2026, 17:46 UTC≈15,000 views2 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 社交平台网恋骗子 编造包裹信息境外来电实施诈骗 吉隆坡这名骗子急于行骗,拿出3份包裹资料,照片、快递单号、双方地址全部漏洞百出,地址信息还是AI生成的假资料,后续还有境外号码打来,幸好手机Truecaller自动拦截 提醒姐妹们,FB、IG、TikTok交友,就算对方人设帅气,也要保持清醒,不要落入网恋诈骗的无底洞。

⚡2

2 Oct 2026, 17:28 UTC≈11,700 viewsread 2 October 2026
Photo

#吉隆坡吃瓜 诈骗集团盗照冒名行骗编造医药费签证保金等理由骗钱 吉隆坡吃瓜爆料这伙诈骗集团会不停更换账号名称、头像照片,盗用他人照片冒名,专门实施爱情诈骗,骗子惯用苦肉计,编造生病医药费、等理由 哄受害者买苹果礼品卡或是转比特币,钱到手直接失联;被揭穿还会谎称账号被盗。一旦受害,马上报案。

2 Oct 2026, 17:00 UTC≈13,000 views1 reactionsread 2 October 2026
Photo

#吉隆坡吃瓜 借慈善名义诈骗善款 吉隆坡不少好心人上当 吉隆坡一名女子借慈善名义募集善款,骗取安平区一众善心人士捐款,在7月12号卷走善款后失联。不少受害者因为这次诈骗,生活陷入困境 网友发文呼吁大家帮忙留意此人,提醒大众警惕打着慈善旗号的募捐,捐款前务必核实对方真实身份,不要轻易献出爱心。

🥰1

2 Oct 2026, 16:52 UTC≈9,450 viewsread 2 October 2026
Photo

#马来西亚新闻 拉布安移民局逮捕菲律宾印尼籍违规人士 马来西亚拉布安移民局开展OP Sapu执法行动,在拉布安市区一带进行突击检查,一共查验47人,包含外籍与本地民众。本次行动逮捕6名外籍公民 涉案人员涉嫌违反移民法令,现已交由拉布安警局与移民局看管,以待进一步调查。移民局表示,将会严厉对付所有触犯移民法者,包括非法聘用外籍人士的雇主。

2 Oct 2026, 16:46 UTC≈12,000 viewsread 2 October 2026
Photo

#马来西亚新闻 柔佛海事渔业AADK联手打击海域非法捕鱼活动 马来西亚海事执法机构联合渔业局、国家反D机构开展Mardof海上联合行动,打击非法捕鱼,维护海域安全。行动扣留一艘本地渔船 船上共有5名船员,含4名印度籍与1名本地人,案件依照1985年海事法调查,海事部门会持续强化跨部门合作保护渔业资源

2 Oct 2026, 16:35 UTC≈12,200 viewsread 2 October 2026
Photo

#马来西亚新闻 怡宝薪资平均数被高收入群体拉高中位数更贴近大众 马来西亚统计局2025薪资数据显示,公民平均月薪RM3803,但薪资中位数仅RM2940。平均数会被高收入群体拉高,中位数才代表收入处于中间位置的打工人,一半人收入低于这个数字 不同行业薪资差距明显,采矿行业最高,农业薪资偏低。工资涨幅虽有提升,但生活开销持续上涨,实际购买力才是影响生活压力的关键。

2 Oct 2026, 16:27 UTC≈20,600 views1 reactionsread 2 October 2026
Photo

#马来西亚新闻 柔佛58岁校长25次考SPM 马来西亚柔佛58岁校长Zulkifli Md Pungot,他本身已有高学历,考试不是为拿证书,而是亲身感受考场压力,体会学生面对考试的焦虑 他坚持每日刷题备考,根据考试体验调整教学,教导学生拆解考题、管理考试心态。他认为只有亲身坐在考场,才能真正明白学生的困境

🔥1

Showing the 12 most recent of 1,259 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 26 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), 45,529 subscribers as measured 26 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.