#国内资讯 成都写字楼惨了,每一幢都有助贷、法务、催收,今年抓的都是这些公司,一窝一窝的端,并且不准保释缓刑。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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Channel
@baoguang115
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
83,391subscribers
+2,294 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001303806244 |
|---|---|
| Type | Channel |
| Username | @baoguang115 |
| Description | #东南亚 #全网 #曝光 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #马来西亚 #新闻资讯 #海外华人 #热点新闻 🌏安危大事件频道专注于海外华人最新动态 热点新闻、生活故事、突发事件与华人投稿 本频道拒绝任何政治敏感内容,不刻意引导任何立场,请理性阅读。 ↗️全网最大吃瓜 @cg6669 ↗️东南亚有话说导航 @xinw10 🌟商务合作 @yy261 🌟投稿曝光 @bx658 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/baoguang115 |
International 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 11:41 | 83,391 | +1,011 |
| 17 Sept 2026, 16:16 | 82,380 | +3,454 |
| 15 Sept 2026, 11:41 | 78,926 | +1,077 |
| 13 Sept 2026, 22:19 | 77,849 | +2,991 |
| 12 Sept 2026, 05:21 | 74,858 | -723 |
| 10 Sept 2026, 01:19 | 75,581 | -1,070 |
| 6 Sept 2026, 18:57 | 76,651 | -512 |
| 4 Sept 2026, 06:17 | 77,163 | -918 |
| 2 Sept 2026, 20:45 | 78,081 | +708 |
| 1 Sept 2026, 22:15 | 77,373 | -685 |
| 31 Aug 2026, 23:27 | 78,058 | -548 |
| 30 Aug 2026, 21:04 | 78,606 | -544 |
| 29 Aug 2026, 23:24 | 79,150 | +531 |
| 28 Aug 2026, 21:32 | 78,619 | -798 |
| 28 Aug 2026, 00:37 | 79,417 | -208 |
| 27 Aug 2026, 04:07 | 79,625 | -410 |
| 26 Aug 2026, 04:04 | 80,035 | +943 |
| 25 Aug 2026, 07:13 | 79,092 | -351 |
| 24 Aug 2026, 07:25 | 79,443 | -543 |
| 22 Aug 2026, 18:26 | 79,986 | first reading |
1,141 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 111 pages of Telegram’s post history, 20 posts per page.
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 287 of 631 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,141 (7 August 2026 – 29 September 2026) |
| Views total | 3,140,890 |
| Reactions total | 10,936 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 01:20 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.
Lifetime counters from Telegram’s own channel header, read 30 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.
Measured directly from 322 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.
10,938 reactions across 287 posts, in 9 distinct kinds. The most used accounts for 12.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,328 | 12.1% | |
| ❤ | 1,321 | 12.1% | |
| ❤🔥 | 1,307 | 11.9% | |
| 👍 | 1,245 | 11.4% | |
| 💯 | 1,238 | 11.3% | |
| 🎉 | 1,220 | 11.2% | |
| 🥰 | 1,199 | 11.0% | |
| 🤩 | 1,118 | 10.2% | |
| 😍 | 962 | 8.80% |
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 289 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 10,938 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 13 August 2026 to 29 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @baoguang115. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 13 August 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#国内资讯 成都写字楼惨了,每一幢都有助贷、法务、催收,今年抓的都是这些公司,一窝一窝的端,并且不准保释缓刑。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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#菲律宾新闻 欺诈案头号通缉犯在尼诺伊·阿基诺国际机场被捕 一名32岁的菲律宾籍男子因涉嫌参与团伙诈骗(syndicated estafa)被通缉。近日,他从新加坡抵达菲律宾尼诺伊·阿基诺国际机场(NAIA)3号航站楼后,在帕赛市被警方逮捕。 此次行动源于地区情报部门、地区特别行动组第3组(Regional Special Operations Group 3)、菲律宾国家警察航空安全组(PNP Aviation Security Group)以及 NAIA 第3警察局之间的协调,于9月27日(星期日)展开。 警方根据邦板牙省安赫莱斯市地区审判法院第57分庭于2026年9月10日签发的逮捕令将其拘捕。该逮捕令没有建议保释金,意味着该案件不适用常规保释。@toutiao2 随后,警方与相关航空公司协调,核实该名通缉人员的出行信息,并确认他当时已经搭乘从新加坡飞往菲律宾的航班。 航班抵达后,联合行动小组在国际到达区执行逮捕…
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#网友投稿:缅甸木姐,是不是又有大佬开几百万的大单了,烟花都放了十几分钟,不知是哪个家庭,支离破碎了。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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😂🙏🫡🙇♂️|幸运限定转盘 🎉 中秋遇国庆 · 双节同庆狂欢10天 🎉 单笔有效投注满1️⃣0️⃣ USDT解锁活动 · 累计投注赢转盘机会 🩷❤️🧡💛💚 🩷❤️🧡💛 🩷❤️🧡💛 ——————【双节四重福利】—————— 🟢 双节体育包赔券 享50%体育包赔,单张最高返还288 USDT 🟢 双节充值优惠券 充值额外加赠10%,单次最高赠288 USDT 🟢 双节现金红包 幸运抽取1.8、8.8或88 USDT现金红包 🟢 双节实物大奖 参与幸运转盘,有机会赢取iPhone Duo ———————【双节幸运奖池】—————— 💎 单笔有效投注满10 USDT,解锁活动资格 💎 累计有效投注满25 USDT,获得转盘机会 💎 累计投注越高,获得的转盘次数越多 💎 达到最高档位,可获得9次转盘机会 ——————【节日任务】—————— ✅ 每日登录领取节日福利 ✅ 完成指定充值解锁奖励 ✅ 完成有效投注领取现金 …
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#网友投稿:今天又有很多人从柬埔寨撤离,完全没有生存空间了,还在坚持的也趁早做打算吧。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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泰国洪灾已致23人死亡,曼谷4人遇难,经济损失或达7亿美元 泰国政府9月29日表示,自9月中旬以来,全国洪灾已造成23人死亡,其中曼谷有4人遇难。 泰国防灾减灾厅(DDPM)称,洪灾已影响曼谷约70万人。目前部分地区仍在积水,学校已连续第2天停课,近7000人暂时住在全市230个避难中心。 洪灾目前已波及泰国77个府中的29个府。其中,曼谷4人死亡,北榄府(Samut Prakan)8人死亡,沙缴府(Sa Kaeo)6人死亡,其余死者来自尖竹汶府、艾尤塔亚府和北标府等地。 泰国经济专家估计,此次洪灾可能造成3亿至7亿美元以上的经济损失,其中曼谷受影响最为严重。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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#菲律宾投资 10亿美元砸向菲律宾!台湾制造业项目落地新克拉克 菲律宾新克拉克迎来一项规模达10亿美元的台湾制造业投资项目,进一步加大制造业资本在菲律宾的布局。 据了解,该项目将落地新克拉克,以制造业为主要方向。项目推进后,有望带动当地厂房建设、产业配套及就业需求,并进一步吸引上下游企业进入。 近年来,新克拉克持续完善机场、道路及产业园区等基础设施,并积极吸引制造业、物流等产业投资。此次10亿美元项目落地,也让当地作为菲律宾产业投资目的地的关注度进一步提升。 目前,该项目具体建设进度及投资安排仍将随着后续推进逐步公布。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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#柬埔寨资讯:1837名在押人员从旧监狱转移至新监狱 9月29日,在柬埔寨内政部副总理兼部长苏速卡的指导下,柬埔寨监狱总局联合国家警察总署、宪兵以及金边市政府,组织将1837名在押人员从金边PJ监狱(旧址)转移至金边市新监狱继续服刑。 新监狱位于金边市贡布区(Kamboul)普勒特朗分区(Prateah Lang)。此次转移行动由相关执法部门及地方政府共同负责,整个过程顺利完成,期间加强了安全保障和现场秩序维护。 据介绍,原金边PJ监狱旧址将由政府设立为第五矫正教育中心(Correctional Education Center 5),主要为在押人员提供教育改造、康复以及职业技能和就业培训,为其刑满后重新融入社会做好准备。 同时,该中心的设立也有助于缓解监狱人员拥挤问题,并配合柬埔寨政府相关监狱管理及改造计划。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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🇲🇾 马来西亚启动遣返缅甸难民计划 马来西亚内政部联合移民局等部门,于今天在红土坎执行了“OPS PIER 1.0”第一阶段遣返行动,共遣返1,476名缅甸籍被拘留者。 本次行动系马缅两国政府达成协议的成果,计划分阶段遣返共5,000名缅甸籍人员。所有被遣返者均已完成身份核实、国籍确认、文件办理及健康检查。 双方强调,整个遣返流程均在安全、有序、自愿及合乎法律程序的原则下执行。 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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菲律宾诈骗园区 “大单狂欢”!你眼中的 “赚钱机会”,是别人的狂欢业绩! 看看这画面!菲律宾诈骗园区,做成一单,全场欢呼! 你以为是同事齐心、事业有成? 错!这欢呼声背后,是又一个家庭被骗得血本无归! 你眼中的 “高收益、稳赚钱、导师带单”—— 就是他们敲键盘的业绩、举杯庆祝的大单! 你亏的是血汗钱,他们赢的是提成奖金! 别再羡慕别人 “轻松赚钱”,那欢呼声里,藏的全是你的损失! 警惕境外高薪、网络投资、带单理财!你贪的是利息,人家要的是本金! 他们欢呼 = 你被骗!别做别人的 “大单”! “你以为是机会,人家当你是业绩!” 全场欢呼的背后,又一个家庭倾家荡产! 真赚钱不会拉你,拉你就是想赚你! 别让自己的血汗钱,成为别人的庆祝理由! 关注安危大事件频道➡️ @baoguang115 投稿:@yy261
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Showing the 12 most recent of 1,141 posts we hold for @baoguang115. 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.
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.
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.
@baoguang115 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“安危大事件” (@baoguang115), 83,391 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/baoguang115.
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.