Channel
@baoguang88
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12,748subscribers
+1,873 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002570738472 |
|---|---|
| Type | Channel |
| Usernames | @baoguang88 @toutiao911 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/baoguang88 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 02:26 | 12,748 | -5 |
| 15 Aug 2026, 00:03 | 12,753 | +53 |
| 13 Aug 2026, 17:36 | 12,700 | -11 |
| 13 Aug 2026, 16:17 | 12,711 | +1,971 |
| 12 Aug 2026, 18:38 | 10,740 | +4 |
| 11 Aug 2026, 18:58 | 10,736 | +7 |
| 11 Aug 2026, 15:13 | 10,729 | +7 |
| 10 Aug 2026, 20:06 | 10,722 | -1 |
| 10 Aug 2026, 14:02 | 10,723 | -52 |
| 9 Aug 2026, 19:02 | 10,775 | -22 |
| 9 Aug 2026, 11:51 | 10,797 | -16 |
| 8 Aug 2026, 18:02 | 10,813 | -4 |
| 8 Aug 2026, 10:56 | 10,817 | -55 |
| 7 Aug 2026, 21:31 | 10,872 | -1 |
| 7 Aug 2026, 21:00 | 10,873 | -2 |
| 7 Aug 2026, 00:31 | 10,875 | first reading |
126 posts held, back to 6 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 18 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 9 of 126 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 | 126 (6 August 2026 – 14 August 2026) |
| Views total | 4,630 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 00:18 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.
Measured directly from 28 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.
9 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6199443554113165078 | 4 | 44.4% | |
| custom 6323173148069993006 | 2 | 22.2% | |
| custom 6206331470475170122 | 1 | 11.1% | |
| custom 6294316259240581420 | 1 | 11.1% | |
| custom 6325365904968259125 | 1 | 11.1% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 9 of the 126 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 126 most recent posts we hold, published 6 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。
Signed 无情道🏴☠️
#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。
Signed 无情道🏴☠️
Posted without readable text
Signed 是桃子呀🍑
#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！
Signed 无情道🏴☠️
轻信“缅北高薪赚大钱”陷入电诈团伙，因业绩不达标遭暴力惩罚 一名男子轻信“缅北高薪、轻松赚大钱”的虚假宣传，被诱骗进入电诈团伙。进入窝点后，不仅被迫从事诈骗活动，还因“业绩不达标”遭到团伙成员暴力惩罚，处境十分危险。 警方及相关机构多次提醒，所谓“缅北高薪工作”“轻松赚大钱”往往暗藏诈骗和非法拘禁等风险。切勿轻信陌生人的高薪诱惑，更不要为了所谓的“快速致富”冒险前往高风险地区。
Signed 无情道🏴☠️
#网友投稿：金三角特区内的物业已经陆续开始发出通知。 物业会不定时抽查，发现电诈会直接上报治安局（抽查估计会包括证件问题）。 PS:特区内的小伙伴还好吗，被逮住就要吃糯米饭了
Signed 无情道🏴☠️
#网友投稿 #段武琦 关于“阿浪”（实名：段武琦）及西港黄金城相关项目的情况反映 据多名相关人员反映，段武琦，外号“阿浪”，曾参与运营或管理名为 Solulu 的区块链稳定币项目，并与西港黄金城相关业务存在关联。现就其涉嫌存在的若干问题进行情况反映，具体如下： 一、涉嫌拖欠工资、提成及费用 据员工反映，公司在运营期间存在工资、提成发放不及时甚至拖欠的情况。公司原本承诺每月20日发放工资，但实际曾多次拖延至25日或更晚。 此外，公司在日常经营中还被反映存在以下问题： 员工提成长期未按约定结算； 部分员工垫付的伙食费未能及时报销； 包括翻译服务费在内的正常业务支出，审批和付款经常被无故拖延； 财务沟通中疑似存在信息隐瞒、推诿责任等情况。 二、涉嫌对员工实施威胁、暴力或性侵害 有相关人员反映，段武琦在管理期间可能存在对员工进行威胁、恐吓甚至殴打的行为。 另有女性员工反映，其曾遭到段武琦以拖欠工资、拒绝发放薪酬或其他方式进行胁迫，要…
Signed 无情道🏴☠️
#群友爆料：报瓦交克雷度假村，全都是黑公司，高价赔付，赔付拉满。里面全是做国盘的，希望早上拔出此园区。 妙瓦底那边的公司都搬这里来了，希望中方关注，DKBA保护。交克附近园区基本上都清空了，而这里每天都有公司搬进来。这里号称比KK园区还硬，国内很多失踪、被绑架的人被送到这里，未成年人都有，还有很多女孩子，各个国家的都有。 这里面基本上都是国内盘、资金盘，军包，公司打死人，园区物业都不会管。希望中国警察、FBI快点来解救这里的同胞。
Signed 无情道🏴☠️
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。🙏
Signed 无情道🏴☠️
#群友投稿：金边《城际酒店》黑心商家，还是华住会旗下的，专门逮着中国人坑。避雷，真的避雷！只要是中国人，都离这个酒店远一点。 在这个酒店里住了10天，枕套上有污渍，要赔90美金，完全就是漫天要价。 第一天的时候，朋友来找我玩，他抽烟的时候把烟灰缸打翻了，弄到了被子上还有床单上。我叫来了前台工作人员，赔了30美金，很合理。毕竟弄脏了，清洗也麻烦。 然后住了两天以后，玻璃自爆了。自爆的时候，我立马叫来了工作人员保护现场，担心最后赖到我身上。结果还是要赔钱。 一开始，玻璃门要赔500美金，最后谈下来赔了300美金。 最可恨的是，我叫打扫房间的人来打扫卫生，他看到枕头套上有一点点污渍，都没有渗透到枕芯里面。可能就是在房间里吃东西的时候，不小心抹了一滴油上去，而且颜色很淡，不仔细看根本都看不到。 结果那个打扫房间的人立马叫前台过来，跟我说枕套上面有污渍，要我赔90美金。 一天的房费才80美金，一个枕套他敢要90美金，是想钱想…
Signed 无情道🏴☠️
#网友曝光 此人李荣浩……马来西亚籍假护照，娶了一个柬埔寨老婆，老婆哥哥在柬埔寨内政部当保护伞……在西港让我投资25w美金，然后吸毒，我不想投这笔钱了，他老婆过来求我给他个机会，现在不止欠钱不还，还打着我名义到处招摇撞骗。
Signed 无情道🏴☠️
#网友投稿 大家注意这个骗子 我做换汇，他需要白资，我就空放给他了，昨天我给他打完钱，他就不回款了。。。 当时他在我公司运输烟！海关扣留要求他出1.5万迪拉姆清关；这个钱他给我了，并不是我找他借的，然后现在他胡说八道说是我找他借的钱，把这个换汇的钱抵扣掉了。。。 就以我找他借1.5万迪拉姆借口直接不回支付宝3万的款了！ 他的往事爆料： 2015年此人因盗刷别人信用卡还车罚款，在迪拜入境被抓，我全程帮他处理案件，免费给他提供住宿，免费帮他解决事情，如今换来这样的对待！此人长期跟随一个叫天天的老板从迪拜到柬埔寨戈公到波贝
Signed 无情道🏴☠️
Showing the 12 most recent of 126 posts we hold for @baoguang88. 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 — 290,811 of 1,350,102entries 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 8 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“《今日头条》东南亚大事件” (@baoguang88), 12,748 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/baoguang88.
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.