Channel
@baoguangee
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
205,580subscribers
-3,018 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001978819756 |
|---|---|
| Type | Channel |
| Usernames | @baoguangee @xinwen_toutiao_baoguang |
| Description | #迪拜 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #新闻资讯 #博彩 #狗推 各大社会事件新闻，要点资讯，安危事件，曝光爆料，时事新闻，社会热点推送。 投稿： @BBBBBE 划水摸鱼讨论组 ： @xinwen847 投稿机器人： @baoguangee_bot 商务合作联系： @bbbbbe 斯里兰卡商家合集 ： @alankawaimai |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| On Telegram | t.me/baoguangee |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 62% 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 |
|---|---|---|
| 14 Aug 2026, 22:32 | 205,580 | -1,006 |
| 14 Aug 2026, 01:05 | 206,586 | -2,130 |
| 12 Aug 2026, 20:13 | 208,716 | -602 |
| 11 Aug 2026, 23:08 | 209,318 | -1,360 |
| 10 Aug 2026, 21:18 | 210,678 | -1,154 |
| 9 Aug 2026, 23:32 | 211,832 | -1,390 |
| 8 Aug 2026, 21:12 | 213,222 | +5,158 |
| 7 Aug 2026, 18:46 | 208,064 | -534 |
| 7 Aug 2026, 10:45 | 208,598 | first reading |
179 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 21 pagesof 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 178 of 179 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 179 (7 August 2026 – 14 August 2026) |
| Views total | 1,682,353 |
| Reactions total | 1,318 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 22:32 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 14 August 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 45 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.
1,318 reactions across 178 posts, in 13 distinct kinds. The most used accounts for 18.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 239 | 18.1% | |
| 👍 | 229 | 17.4% | |
| 👌 | 198 | 15.0% | |
| ❤ | 151 | 11.5% | |
| 😭 | 136 | 10.3% | |
| 🤣 | 95 | 7.21% | |
| 😱 | 92 | 6.98% | |
| 🥰 | 67 | 5.08% | |
| 🙏 | 54 | 4.10% | |
| 🤬 | 32 | 2.43% | |
| 👏 | 11 | 0.835% | |
| 😢 | 7 | 0.531% | |
| 🤔 | 7 | 0.531% |
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 178 of the 179 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 1,318reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 179 most recent posts we hold, published 7 August 2026 to 14 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.
🇱🇦 万象警方突袭“雅典饭店” 捣毁电诈及毒品窝点 抓获74名嫌疑人 老挝媒体8月14日报道： 老挝公安部专案组于8月12日，对万象市西科达崩县农萨诺坎村雅典饭店（Athen Hotel，包含两栋建筑）开展突击行动，捣毁一处涉嫌网络犯罪与毒品的犯罪窝点。 本次行动共抓获嫌疑人74名，其中：中国籍71人，中国台湾地区2人，越南籍女性1人。 警方现场查获大量用于网络犯罪的台式电脑、笔记本电脑、手机等电子设备，同时起获多种非法毒品、毒品加工调配设备、吸毒工具、被称作Pod K的涉毒电子烟以及压缩大麻等涉案物品。部分毒品经过包装伪装，具有较强迷惑性。 目前，老挝公安部专案组已将全部嫌疑人以及涉案证物带回开展进一步调查。警方表示，将深挖该团伙上下游网络，追查其余涉案人员，依法追究相关人员法律责任。
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洪森：在网上辱骂女性将被起诉 柬埔寨参议院主席洪森8月14日表示，柬埔寨一些社交媒体用户，包括网络卖家，经常使用诽谤、侮辱和谩骂等不当语言，无论是夫妻之间的家庭纠纷还是情侣之间的纠纷，都存在谩骂他人、甚至侮辱领导人和国家机构的情况，这导致社会价值观下降。 洪森要求妇女事务部今后针对网络辱骂女性的案件主动提起诉讼，即使涉及个人纠纷也不能置之不理。 PS：中国同胞要特别注意 特别是那些出口国粹的这类人
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#菲律宾资讯：PAGCOR推 最低保底费！中小博彩运营商或加速出局 菲律宾博彩监管机构PAGCOR的线上博彩运营商最低保底规费制度已于2026年7月1日正式实施，所有持证博彩系统服务商都将面临新的月度最低缴费要求。 新规分阶段提高收费标准。2026年7月至12月，涉及线上赌场业务的服务商，月度博彩总营收达到3000万比索，每月最低缴纳900万比索；不涉及线上赌场的服务商，月度营收达到1500万比索，最低缴纳300万比索。 2027年起，收费标准进一步提高。线上赌场服务商月度营收门槛升至3500万比索，对应最低保底费1050万比索；其他服务商门槛升至2000万比索，最低缴纳400万比索。 PAGCOR表示，此举旨在提高收费透明度和行业规范程度。业内人士则认为，高额固定成本可能加速中小运营商退出，行业将进一步向头部企业集中。 目前菲律宾仅剩约60家持证服务商，其中15至20家头部企业占据超过八成行业营收。随着监管和成本持续…
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#最新消息：🇰🇭波贝昨天又抓147人电诈嫌疑人 执法人员发现133名外国人（51名女性），分属三个国籍，包括82名越南籍（26名女性）、18名中国籍（2名女性）和33名泰国籍（16名女性）。此外，还有14名柬埔寨籍（7名女性）。 查获大量涉嫌技术诈骗的物品：207部手机、3台笔记本电脑、31个CPU、97台显示器、313台一体机电脑和8张工作证。
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😀😀😀😀😀😀😀 😀😀😀😀😀 💞💞💞💞💞💞✡️😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 😀九博官方频道：👉@JBGJ 😀九博官方开奖：👉@JBKJ 😀九博上下分群：👉@jiubovip 😀九博国际主营: ⚡️😀😀😀 ⚡️ 😀😀 ⚡️😀😀 ⚡️😀😀 ⚡️😀😀⚡️😀😀❤️😀😀等多种游戏... 🔥九博扫雷点击进入🔥 全新玩法，震撼上线！ 热门彩种，火力全开！ 激情升级，精彩加倍！ 抢先体验，赢在每一局 九博国际放心玩 · 放心赢 · 放心提！ 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 🏦钱包验资： @kpay 💁♀️官方客服： @J111~@J888 💁♀️官方财务： @j444~@j666
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西港警方查获逾5公斤毒品及化学品，6名外籍嫌犯或面临终身监禁 西港警方宣布，近日成功侦破一起重大涉外毒品案，在西港某酒店及武术训练俱乐部抓获6名外籍男子（1名中国籍、5名越南籍），当场查获冰毒等各类毒品、疑似毒品及制毒化学物质超5公斤，另缴获电子秤、卷烟机等一批作案工具。 西港检察官审查后，以非法贩运毒品、合谋贩毒及非法吸毒等罪名正式起诉6名嫌犯，并于8月12日移交法院审理。 根据柬埔寨《毒品管制法》，若贩毒罪名成立，涉案人员最高可被判处终身监禁。 被抓后没少挨揍～～脸都花了～～
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#网友投稿：下一波封禁星链也要来了，目前是没有任何办法，去避免，马斯克铁了心要处理缅甸星链。不知道各大盘总这次要如何接招呢？ 目前为止，已切断了缅甸电诈园区周边超过 2500 台“星链”设备的运行服务。8月15日至8月17日前后无法再通过漫游方式带入缅甸的“水货”或异地注册终端。 民间呼吁：面对这次 8 月中旬的大规模断网危机，缅甸当地曾有近 250 个民间社会组织（CSO）联合向 SpaceX 及有关方面发出公开信，希望其能采用更精准的地理坐标打击（如针对电诈园区），而不是“一刀切”地让整个非电诈区的平民和救援网络陷入黑暗。
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生而为人，皆苦！柬埔寨一嘟嘟车司机在自己的吊床上死去，今天被人发现时已初成巨人观。🙏
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#EBpay #畅享无界支付 💸 EBpay - 顶级收付款钱包 😀😀😃 高效、安全、稳定的支付解决方案 顶级技术，让资金轻松流转 专业服务，全天侯在线客服 极速交易，为全球用户提供便捷的充值体验🤣🤣🤣🤣 🥰 业界首选-专业钱包 🥰 💸 EBpay 顶级优势： ❤资金极速到账，流畅交易体验 ❤顶级技术团队，系统稳定运行，保障交易安全 ❤7×24 客服支持，问题及时响应 ❤支持 🥰 📖 📏 💗 📱 多种支付方式 🥰 稳定交易 × 极速到账 × 无界支付 🥰 支付持续在线。陪你一起迎接每一次精彩瞬间！ 😃😃😃 EBpay｜无界支付，快人一步 ——————————————————— 🥹招商热线： @EBpay08 🤓官方频道： @EBpayHQ 🤩官方网站： www.ebpay.net
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#网友反馈：老挝金三角特区的山水酒店现在正在检查 现场又有办公的被抓住了，现在在山水酒店的， 不要去一楼，门口被治安局守着的想出来的人一律检查手机的内容 PS：房间不要放手机电脑！！最近风好大！
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澳门酒店疑现“接客盗窃”套路：两名东南亚女子涉嫌趁客人洗澡偷走5万港币 近日，澳门有网友爆料称，两名东南亚女子在街头招揽客人后前往酒店房间，期间趁客人洗澡之际，疑似将其财物偷走，涉案金额约5万港币。客人事后才发现财物失窃，并一路追赶至星际酒店门口。 提醒大家，外出消费或与陌生人接触时务必提高警惕，妥善保管现金、证件及贵重物品，切勿因一时冲动造成“人财两空”。如遇财物被盗，应及时报警并保留相关证据。
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#斯威士兰 #25名中国人二次被捕！刚交罚款获释，出境时竟发现护照已被注销 非洲南部斯威士兰近日发生一起涉及25名中国公民的移民案件。25人此前因违反当地移民法被捕，认罪并缴清罚款后获释，没想到准备离境时，#边检发现他们持有的中国护照已被注销或作废，随后再次被警方逮捕。 据斯威士兰政府向高等法院提交的文件，这25人最初在今年6月至7月期间陆续被捕，之后在当地法院认罪并接受罚款处罚，约于7月24日获释。 然而仅仅一天后，25人在准备离境时接受检查，移民部门发现其护照已经处于注销、作废或限制状态，无法作为有效旅行证件使用。警方随后以新的移民违法问题再次将他们拘捕。 斯威士兰政府认为，第二次拘捕针对的是使用无效旅行证件等新的违法行为，并非重复追究此前已经处理的案件。 但25名中国公民认为，他们已经被起诉、定罪并缴纳罚款，再次被抓属于重复追究，因此将案件提交法院。 8月3日，斯威士兰高等法院曾要求释放这25人，并协助他们离境…
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Showing the 12 most recent of 179 posts we hold for @baoguangee. 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 — 1,117,129 of 1,345,403entries 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.
Named by 1 registered channel — 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.
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 38 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“斯里兰卡头条新闻曝光” (@baoguangee), 205,580 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/baoguangee.
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.