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Channel

东南亚热点话题 | 博闻资讯

@bgc555

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

18,633subscribers

-3,472 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1002121629955
TypeChannel
Username@bgc555
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live27 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/bgc555

Growth

18,63322,10520,3699 August 2026 — 22,105 subscribers9 August 2026 — 22,020 subscribers11 August 2026 — 21,107 subscribers11 August 2026 — 20,456 subscribers13 August 2026 — 20,080 subscribers14 August 2026 — 19,992 subscribers15 August 2026 — 19,915 subscribers17 August 2026 — 19,657 subscribers18 August 2026 — 19,572 subscribers19 August 2026 — 19,418 subscribers20 August 2026 — 19,344 subscribers21 August 2026 — 19,155 subscribers23 August 2026 — 18,994 subscribers24 August 2026 — 18,808 subscribers25 August 2026 — 18,714 subscribers27 August 2026 — 18,633 subscribers9 August 202627 August 2026
16 measurements spanning 18 days, net -3,472. 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 18,112–22,626 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 01:5218,633-81
25 Aug 2026, 22:1918,714-94
24 Aug 2026, 21:4618,808-186
23 Aug 2026, 05:5218,994-161
21 Aug 2026, 14:1319,155-189
20 Aug 2026, 13:3619,344-74
19 Aug 2026, 11:1219,418-154
18 Aug 2026, 08:0219,572-85
17 Aug 2026, 10:4719,657-258
15 Aug 2026, 19:0319,915-77
14 Aug 2026, 07:5819,992-88
13 Aug 2026, 01:3420,080-376
11 Aug 2026, 23:3120,456-651
11 Aug 2026, 00:2221,107-913
9 Aug 2026, 23:3522,020-85
9 Aug 2026, 09:1622,105first reading

Engagement

378 posts held, back to 9 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 35 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.66%
avg views ÷ 18,633 subscribers
Avg views / post
681
378 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
378
of 378 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 56 of 378 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 August 2026
Posts held378 (9 August 202626 August 2026)
Views total257,591
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 22:48 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
1h 33m
Average length
44s

Measured directly from 127 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

57 reactions across 54 posts, in 2 distinct kinds. The most used accounts for 80.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4680.7%
1119.3%

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 56 of the 378 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 378 most recent posts we hold, published 9 August 2026 to 26 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

26 Aug 2026, 16:50 UTC878 viewsread 26 August 2026
Video

盘点东北老大娘金句,唠透缅北现实,搞笑又警醒 要说讲大道理,还得看东北老大娘,嘴上说着段子,句句点破缅北的残酷现实,幽默的背后全是忠告。 👉大娘缅北经典语录: 1. 被朋友骗到缅北去,血都抽干了,那地方多危险。别总幻想自己本事大,觉得换做是你就能逃出来。牛魔王去了都得耕地,唐三藏去了都得打出舍利,孙悟空去了都得演大马戏。 2. 唐僧当年从西安出发去取经,要是改从云南出发,上午到缅北,下午直接就到西天,西游记两集就能大结局。 3. 别轻信境外高薪招工,什么月入几万轻松赚钱。天上不会掉馅饼,掉下来的大多是陷阱,贪图高回报,一不小心就踏入万丈深渊。 4. 别听别人吹那边混得多风光,能平平安安回家,才是最大的本事。异国他乡的钱不好挣,一步踏错,想回头都难。 玩笑归玩笑,现实一点不开玩笑。缅北没有暴富神话,只有重重陷阱,千万不要被花言巧语迷惑,远离境外高薪诱惑。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bg

26 Aug 2026, 16:25 UTC854 viewsread 26 August 2026
Photo

#缅甸诈骗园区升级:全面引入 AI 技术,犯罪效率呈指数级暴增 近日,据量子位(QbitAI)及安全机构 C4ADS 披露,缅甸妙瓦底等地的“杀猪盘”与电信诈骗园区正全面借助 ChatGPT、Gemini 等 AI 工具实施跨国诈骗。 📌 核心要点总结: AI 扮演“效率倍增器”:目前诈骗分子主要利用 AI 进行多语言翻译、文本润色、话术生成及批量群聊,大幅提升作案效率。 AI 比人类更易骗取信任:研究显示,在 7 天的实验中,46% 的受害者下载了 AI 推荐的软件(人类推荐仅占 18%),AI 组的信任评分(3.78分)也高于人类组(3.31分),且 95% 的人无法辨别对方是 AI。 走向“工业化、全自动化”:不法分子通过数十个假账号同时操作,单人即可锁定上百目标。未来随着 AI 代理(AI Agents) 的普及,犯罪团伙对人工的依赖将减少,但受害者规模可能面临成倍激增的风险。 行业警示:网络犯罪、加密货币与

26 Aug 2026, 16:03 UTC879 viewsread 26 August 2026
Video

#突发事件: 金边永旺1附近两帮人上百人打群架。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

26 Aug 2026, 15:46 UTC35 viewsread 26 August 2026
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#老挝资讯 老挝两家企业向甘蒙省捐赠1亿基普,支援洪灾民众 8月25日,老挝甘蒙省政府举行赈灾捐赠活动,Song Meunang独资有限公司与Lao Sphere Tech有限公司联合向甘蒙省捐赠1亿基普现金,用于帮助近期受洪灾影响的当地居民。 此次捐款由企业负责人及管理团队代表交付,甘蒙省行政委员会副主席 Detsakda Manikham代表省政府接收。捐赠方表示,希望通过此次援助减轻受灾家庭当前面临的生活压力,并为后续恢复正常生产生活提供支持。 甘蒙省近期部分地区受到洪水影响,居民住房、出行及日常生活均不同程度受阻。此次企业捐款将主要用于救灾和灾后恢复相关工作。 当地方面表示,来自私营企业的援助有助于补充政府救灾资源,同时体现社会各界对受灾群众的支持。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

26 Aug 2026, 14:46 UTC843 viewsread 26 August 2026
Video

#国内资讯 为了躲避警方侦查,电诈团伙竟然玩起了“高科技反侦察”,无人机、监控设备轮番上阵,自以为能够把警方的一举一动尽收眼底。 但他们显然低估了警方的侦查能力。近日,甘肃兰州警方将计就计,上演了一出“36计中的计中计”,在与诈骗分子斗智斗勇的过程中成功将其抓获。 自以为天衣无缝,殊不知早已进入警方的“局中局”。科技可以用来反侦察,但再狡猾的诈骗分子,也逃不过警方的法网。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

26 Aug 2026, 14:28 UTC876 viewsread 26 August 2026
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#新加坡新闻 上半年诈骗损失高达4.106亿新元 投资诈骗卷走近1.7亿 8月26日,新加坡警察部队公布2026年上半年诈骗与网络犯罪数据。1月1日至6月30日,新加坡共录得18,391宗诈骗及网络犯罪案件,同比下降17.9%;其中诈骗案件16,821宗,同比下降14.4%,占全部案件的91.5%。 虽然诈骗案件有所减少,但损失金额依然惊人。上半年诈骗损失约4.106亿新元,较2025年同期约5.002亿新元下降17.9%。其中,加密货币相关诈骗损失约6550万新元,占全部诈骗损失约16%。 投资诈骗仍是损失金额最高的诈骗类型。上半年共发生2,256宗,受害者合计损失约1.698亿新元;冒充政府官员诈骗造成的损失也高达约9080万新元。 电商诈骗则逆势上升,成为案件数量最多的诈骗类型。上半年共录得3,865宗,同比增加19.3%,损失约830万新元,同比增加18.9%。新加坡政府反诈平台8月24日发布的专项报告也显示,电

26 Aug 2026, 14:13 UTC857 viewsread 26 August 2026
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#东帝汶新闻 东帝汶升级国家反诈体系,成立国家级协调中心直报总理 8月26日,东帝汶部长会议正式批准设立国家跨国威胁协调、评估和打击中心,把打击网络诈骗、数字金融诈骗和跨国犯罪提升到国家层面统筹。 这个新机构直接向总理汇报,由国家战略情报局局长负责协调,刑事科学调查警察负责人协助,多部门共同参与。 CN-CAT盯住的重点很明确,包括数字金融诈骗、网络诈骗平台、有组织网络犯罪、外国人非法入境和非法居留,以及人口贩运。 今后,各部门掌握的相关情报将通过这一机制集中共享。CN-CAT还将持续评估诈骗和跨国犯罪风险,向总理提交预警和战略报告,并协调跨部门联合行动,避免各部门各自为战。 这一机构也是东帝汶2026—2031年国家打击计划的重要组成部分。该计划已于8月5日获批,重点就是持续打击跨国数字金融诈骗、网络诈骗平台、有组织网络犯罪和人口贩运。 不过,CN-CAT主要负责情报整合和跨部门协调,本身不直接承担刑事调查。具体案

26 Aug 2026, 13:47 UTC878 viewsread 26 August 2026
Video

菩萨省5号公路半夜查电诈人员?还可以协商解决? 一名柬埔寨网友发帖称,车牌号为“金边 2CC-1919”的车主到底是什么人?竟在半夜开车拦停路过民众的车辆,盘问车上的中国人是不是搞网络诈骗的,还称如果是搞网诈的“可以私下协商解决”。 随后他竟还声称“新法律不允许外国人沿路通行”,这难道符合规定吗? 该事件发生在菩萨省5号国道沿线。网友请上级部门协助调查核实,此人究竟是执法人人员还是假警察? 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

26 Aug 2026, 13:20 UTC885 views1 reactionsread 26 August 2026
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#国内新闻 广州男子网恋“姐妹花”半年被骗18万 两个“老婆”竟是同一名男子假扮 8月25日,广州警方公布一起网恋诈骗案。一名男子半年内同时和一对“亲姐妹”谈恋爱,前后转账181040元,直到两个“老婆”一起失联,才发现所谓姐妹花根本不存在。 今年7月5日,男子到广州荔湾警方报案。过去近半年,他先后在网上认识“小慧”和“小敏”,两人自称是亲姐妹,还分别和他发展成恋爱关系。男子平时直接喊两人“老婆”,但双方一直只靠文字和图片联系,每次提出语音或视频,对方都会找理由拒绝。 交往期间,两名“姐妹”不断以创业、看病、急用钱等理由开口要钱,男子一次次转账,累计被骗181040元。直到“小慧”和“小敏”突然同时失联,他才察觉不对。 警方顺着两个账号调查,很快发现所谓“姐妹”其实都是同一个人在操作。7月23日,民警赶赴外省,将嫌疑人雷某抓获。 雷某先把自己包装成女性酒水销售人员“小慧”,在社交平台吸引男子接触。眼看对方越来越投入,他

1

26 Aug 2026, 12:46 UTC45 views1 reactionsread 26 August 2026
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#网友爆料 西港财神集团,老板(#财神),大代理(#少爷),少爷手下代理(#如意)。2024年跟其他公司合作,公司送几十号人去公司,刚开始的时候说没有体罚,没有打骂,但到公司之后跟他们说的完全不同,完不成业绩,体罚,挨电,用网线编辑的辫子抽打已经成了家常便饭。 财神把人送过去后,才不到三个月,就从对方公司预支300万U,而其手下的人,每天都过着非人折磨的生活,公司对此不管不顾。 等到盖盘后,对方公司要结清业务员的工资,而财神集团不让给,匆忙把人接回去。据了解,对方已经把业务员剩下的工资结算给了(少爷)合计人民币370余万,我也了解了一下其他业务员跟代理,有的说发了,有的说没发,我干几百万人民币的业绩,最后工资提成表上,却只有区区十来万人民币,结果现在这点钱都一直没一个准信,从盖盘到现在已经大半年了,一直拖一直拖,家里老人需要钱,小孩读书也需要钱,我只是想拿回属于我自己的那点工资。你们老板吃肉,代理喝汤,到业务员手里剩下的那根

1

26 Aug 2026, 12:16 UTC887 viewsread 26 August 2026
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🎬巴基斯坦伊斯兰堡品第大楼被捕人员已启动遣返程序,目前约有50余人已遣返回国。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

26 Aug 2026, 11:56 UTC46 viewsread 26 August 2026
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#网友爆光 曝光下这个狗日的A8体育1部3组的组长路飞 跟之前被曝光的2组伊泽是好兄弟 来的时候信誓旦旦说的之前福利待遇不变 因为上家公司底薪1.5~我自己带的资源承诺我十万业绩给我35000~完后过一个多月告诉我减十万净盈利算业绩~说什么走什么2028模式~你们是球速的狗?从那滚了还按照人家那个坑人?5月38万净业绩给我算28~6和7月份17万净业绩一毛钱不给我算~世界杯吃完我业绩又说我不做事情不值那个钱~安排让我离职~真是又当又立啊~吃的满嘴流油~说我不做事情~从他妈6月19号就从公寓跑出来~酒店各种换~你公司给我安排一个安全的办公环境了吗?我的业绩你没吃吗?没我的业绩你能这么轻松吗?你能有脸贪吗?5月提成8月才结出来一部份还各种克扣!这是我说的简化版~过程很曲折 把承诺我的联系我兑现了~不然后面会陆续展开曝光~上假粉~套福利~公司可笑公告~投诉专线~等等等 到时候影响公司声誉只能说抱歉了 📣东南亚热点话题:@bgc

Showing the 12 most recent of 378 posts we hold for @bgc555. 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 — 546,722 of 1,605,487entries 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.

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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚热点话题 | 博闻资讯” (@bgc555), 18,633 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/bgc555.

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.