Channel
@baoliaodashijian
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
12,553subscribers
-2,382 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002131757920 |
|---|---|
| Type | Channel |
| Usernames | @baoliaodashijian @zaznx |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/baoliaodashijian |
National 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 19 Sept 2026, 05:56 | 12,553 | -81 |
| 17 Sept 2026, 13:20 | 12,634 | -38 |
| 16 Sept 2026, 20:37 | 12,672 | -65 |
| 15 Sept 2026, 11:18 | 12,737 | -83 |
| 14 Sept 2026, 20:38 | 12,820 | -141 |
| 13 Sept 2026, 23:21 | 12,961 | -167 |
| 13 Sept 2026, 05:55 | 13,128 | -109 |
| 12 Sept 2026, 07:21 | 13,237 | -232 |
| 11 Sept 2026, 06:38 | 13,469 | -131 |
| 10 Sept 2026, 05:01 | 13,600 | -196 |
| 8 Sept 2026, 08:18 | 13,796 | -87 |
| 6 Sept 2026, 23:39 | 13,883 | -118 |
| 5 Sept 2026, 04:56 | 14,001 | -45 |
| 4 Sept 2026, 11:19 | 14,046 | -81 |
| 3 Sept 2026, 13:17 | 14,127 | -33 |
| 3 Sept 2026, 01:49 | 14,160 | -57 |
| 2 Sept 2026, 04:36 | 14,217 | -47 |
| 1 Sept 2026, 22:18 | 14,264 | -48 |
| 1 Sept 2026, 04:05 | 14,312 | -48 |
| 31 Aug 2026, 18:56 | 14,360 | first reading |
248 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 52 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 3 of 69 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 248 (7 August 2026 – 2 September 2026) |
| Views total | 1,190 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 18:54 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 81 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.
3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| 🔥 | 1 | 33.3% |
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 5 of the 248 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 248 most recent posts we hold, published 7 August 2026 to 2 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 @baoliaodashijian. 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 248 most recent posts we hold for this entry, published 7 August 2026 to 2 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.
#收割全国、骗走数百亿、连香火钱都吞····这个男人，堪称缅甸最大金融骗子 。 据报道，一桩席卷缅甸全国的特大金融诈骗案终于尘埃落定。靠着鼓吹国际外汇、股票投资，疯狂收割全国各地民众，骗取数百亿缅币的主犯尼尼绥博山，被法院以经济犯罪相关罪名判处 43 年监禁，名下全部资产遭到没收查封。 这名被不少受害者称作 “尼尼绥博士” 的诈骗头目，早在 2025 年 4 月，就被军方下属 CID 与特别调查部抓捕归案。历经数月调查审理，今年 8 月，法庭作出重磅判决：43 年牢狱，所有资产全部收归国有。 可这份大快人心的判决背后，却是成千上万受害者撕心裂肺的绝望。 一位一直在调查尼尼绥博士的消息人士称，8月30日，法院判处尼尼绥博士43年监禁，并冻结其所有资产。我们投资的钱已经没有希望追回了，这些资产也被国家没收，所以根本无法归还给诈骗案的受害者。 这场骗局的套路，简单却杀伤力十足。 遭遇诈骗的人称，尼尼绥博士及其团队承诺投资国际股票和货…
#最新消息：西港凯迪刚刚已经被宪兵抓走一批人了，后续应该还有人被抓
#网友曝光 缅甸妙瓦底瓦雷度假村又称为 #玉米地园区，此园区全都是黑公司，高价赔付、压榨员工，大部分盘总都是国内的黑户，所以根本不怕弄死个人或者卖个人，官官相互。 园区和公司表面说是为了营造一个良好的工作环境，实际上公司和物业狼狈为奸，背地里却是各种打骂，这都算轻了，更严重的就是被打残，关起来用电棍电，或者是卖掉。
#克钦邦战事：超百名政府军投降后被转移 9月2日，KIA联军在瑞古-八莫间袭击政变集团船队，击毁4艘船只。超100名士兵举白旗投降，其中含女兵和伤员，已被转移至安全区。政变部队伤亡惨重，江面漂浮尸体和物资。KIA同时击退地面援军。
尼泊尔🇳🇵泥石流破坏力惊人！民众拍到房屋般大小巨石，被裹挟在泥浆中翻滚而下 人类在大自然面前，真的太渺小了
#网友投稿：马来西亚柔佛州新山KSL附近逮捕了一批外国劳工，天天抓也不烦。 PS：其它地方扫诈，大马总得抓点人有参与感🤣
#最新消息：帝豪后面也在疯狂抓人。
柬埔寨内政部开会 筹备续签“柬中联合执法”合作协议 今天上午，柬埔寨内政部国务秘书宋坡主持召开会议，检查柬中执法合作成果总结大会的筹备工作，并筹备签署柬埔寨内政部与中国公安部关于“继续推进执法合作年”的新一轮工作计划。 柬埔寨内政部多名国务秘书、副国务秘书、副总警长、副总局长、相关部门负责人及多位专业官员共同出席了本次会议。
#马来西亚资讯：吉隆坡Pandan Mewah移民部联合警方开展大规模执法检查 马来西亚移民部联合皇家警察，在Pandan Mewah展开大规模联合执法行动，本次行动重点核查身份证、护照、工作许可，检查民众是否遵守移民相关法律。 行动期间，凡是无法出示合法有效身份证件、无法证明自身居留及工作合规性的人员，都将被警方及移民部门带走进一步调查
#柬埔寨打击电诈 2026年9月1日，万景区警署在区长索桑巴特带领下，联合金边市反科技犯罪局开展反诈行动。 金边市万景岗区第二分区图尔斯瓦普雷街296号5BE0室。 抓获18名孟加拉籍嫌疑人（含1名女性）。 缴获：17台一体机、1台笔记本、19部私用手机、7部作案手机、5本护照、2张工作证及1辆雅马哈R15摩托车（车牌：金边1GN-1774）。 嫌犯藏身柬埔寨，利用Telegram账号实施虚假投资诈骗，以图片诱骗孟加拉受害者。
#老挝资讯：2026年已抓获电诈嫌疑人超6200名 自2026年初至今，老挝全国加大打击网络犯罪及在线诈骗力度，已累计逮捕至少6200名来自多个国家的嫌疑人，其中中国籍占多数。 仅8月全老挝即抓获近900人。8月29日周末，警方突查万象赛色塔县两处地点，抓获139人并查获大批作案电子设备及违禁品；8月8日于塔銮湖专区清查网诈赌博团伙抓获261人。此前7月18日行动曾单次逮捕589人。目前警方正深入审讯以追查幕后主脑.
#国内新闻 11岁女孩想免费领游戏皮肤，3小时被骗5万多元，警方追回3万元 9月1日，央视新闻披露湖北宜昌一起针对未成年人的游戏诈骗案。当地一名11岁女孩因为轻信“免费送游戏皮肤”，被骗子连续恐吓诱导，短短3个小时转出5万余元。 7月17日，女孩放暑假在家玩游戏时，看到“免费赠送游戏皮肤”的信息，随后添加所谓“客服”。对方先称女孩是未成年人，她的操作导致公司账户被冻结，接着又冒充公安人员，称其账号涉嫌违法，要求她必须配合处理。 骗子通过带有“公安背景”的视频画面制造紧张气氛，不断恐吓女孩，还要求她不要告诉父母。当天18时至21时，女孩按照对方指示操作父亲手机，两笔转账32700元，另外3张信用卡也被分多笔转走约25000元，累计被骗5万余元。 当天晚上，父亲发现女儿一直没有下楼吃饭，上楼后发现房门被反锁。开门时，女孩还在和所谓“公安人员”视频通话。父亲察觉不对后立即检查银行卡，发现钱已经被转走，随后马上报警。 宜昌警方…
Showing the 12 most recent of 248 posts we hold for @baoliaodashijian. 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 19 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.
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 13 seed channels' Telegram-generated recommendation lists in total. 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件曝料” (@baoliaodashijian), 12,553 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/baoliaodashijian.
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.