#网友曝光 #栗海任 此人广西贺州富阳县人,名字叫 栗海任,联系我说要从柬埔寨过来缅甸,从拜林入境泰国以后跑路。 还偷了路上一起偷渡过来公司人的几千泰铢,现在把我飞机拉黑,东南亚就这么大,你今天搞出来这个事情大家还总有机会见面的,请大家在泰国看到此人小心防范,不要被骗了 🌟商务合作 @yy261 🌟投稿曝光 @bx658
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Channel
@baoguang852
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry
74,718subscribers
-4,173 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001688673762 |
|---|---|
| Type | Channel |
| Username | @baoguang852 |
| 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 🌏全网曝光台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 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/baoguang852 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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 |
|---|---|---|
| 18 Sept 2026, 20:18 | 74,718 | +3,699 |
| 16 Sept 2026, 13:15 | 71,019 | -1,093 |
| 14 Sept 2026, 14:00 | 72,112 | +97 |
| 13 Sept 2026, 02:55 | 72,015 | -2,678 |
| 11 Sept 2026, 04:38 | 74,693 | +474 |
| 8 Sept 2026, 07:59 | 74,219 | -2,312 |
| 5 Sept 2026, 05:57 | 76,531 | +297 |
| 3 Sept 2026, 11:01 | 76,234 | +655 |
| 2 Sept 2026, 07:52 | 75,579 | -828 |
| 1 Sept 2026, 06:02 | 76,407 | -383 |
| 31 Aug 2026, 09:14 | 76,790 | -455 |
| 30 Aug 2026, 06:38 | 77,245 | +672 |
| 29 Aug 2026, 08:05 | 76,573 | -1,127 |
| 28 Aug 2026, 05:12 | 77,700 | -312 |
| 27 Aug 2026, 04:59 | 78,012 | -311 |
| 26 Aug 2026, 08:12 | 78,323 | +832 |
| 25 Aug 2026, 04:37 | 77,491 | -445 |
| 24 Aug 2026, 00:08 | 77,936 | +1,010 |
| 22 Aug 2026, 07:59 | 76,926 | -651 |
| 20 Aug 2026, 23:56 | 77,577 | first reading |
979 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 95 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 362 of 591 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 979 (7 August 2026 – 22 September 2026) |
| Views total | 2,735,996 |
| Reactions total | 4,524 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 12:54 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.
Lifetime counters from Telegram’s own channel header, read 22 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 272 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.
4,728 reactions across 565 posts, in 12 distinct kinds. The most used accounts for 13.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 620 | 13.1% | |
| 🎉 | 568 | 12.0% | |
| 🤩 | 565 | 12.0% | |
| ❤ | 550 | 11.6% | |
| 🥰 | 545 | 11.5% | |
| ❤🔥 | 455 | 9.62% | |
| 😍 | 451 | 9.54% | |
| 💯 | 419 | 8.86% | |
| 👍 | 393 | 8.31% | |
| ⚡ | 65 | 1.37% | |
| 👏 | 52 | 1.10% | |
| 😁 | 45 | 0.952% |
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 565 of the 979 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 4,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 979 most recent posts we hold, published 7 August 2026 to 22 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 979 most recent posts we hold, published 7 August 2026 to 22 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
#网友曝光 #栗海任 此人广西贺州富阳县人,名字叫 栗海任,联系我说要从柬埔寨过来缅甸,从拜林入境泰国以后跑路。 还偷了路上一起偷渡过来公司人的几千泰铢,现在把我飞机拉黑,东南亚就这么大,你今天搞出来这个事情大家还总有机会见面的,请大家在泰国看到此人小心防范,不要被骗了 🌟商务合作 @yy261 🌟投稿曝光 @bx658
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#马来西亚资讯:仙本那中国女游客遭男子闯入,18岁嫌疑人被捕 据马来西亚媒体报道,9月19日凌晨约3时,一名25岁中国籍女游客独自在仙本那一处度假村房间内睡觉时,突然发现一名陌生男子进入房间。 初步调查显示,男子涉嫌抓住女子的手,并脱去其部分衣物,随后双方发生扭打。女子在反抗过程中设法逃出房间,但逃跑期间疑遭男子拉扯头发并摔倒,随后她逃入附近灌木丛中躲藏。 由于担心再次遭到袭击,女子一直躲藏至清晨,最终被一名度假村工作人员发现。 仙本那警方随后展开调查,并于9月19日晚约8时在度假村范围内逮捕一名18岁男子。嫌疑人随后被带往仙本那警区总部协助调查。 警方目前依据马来西亚《刑事法典》第448条(非法侵入住宅)及第354条(意图侵犯他人贞洁而袭击或使用刑事暴力)展开调查,并呼吁公众不要对案件进行猜测或传播未经证实的信息。 中国驻哥打基纳巴卢总领馆已与当事人、度假村及当地警方取得联系,并正在跟进案件处置进展。 事件发生后…
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赴泰收款却被卖进电诈园区 38岁男子失联79天后获救回国 9月21日,38岁的四川绵竹男子刘修洪讲述自己赴泰收款后,被转卖进缅甸电诈园区,失联79天后获救回国的经历。 6月9日,刘修洪从广州飞往泰国曼谷,准备当面结算一笔生意回款。抵达后,他被人接走,当晚一路被带往泰缅边境。 途中,他被持枪人员控制,手机被收走,眼睛被蒙住、嘴被封住,随后被押过界河进入缅甸,并辗转多个关押点。 6月14日,刘修洪失联后,姐姐赶到泰国寻找。 6月17日,四川绵竹警方以非法拘禁立案调查。 6月19日,泰国中央调查局以人口贩运立案。 被控制期间,刘修洪因为已经38岁,超过当地一些园区偏好的招人年龄,一直没人愿意买走。后来一名园区老板买下另一名被控制人员时,他也被一起带走,刘修洪形容自己成了“买一送一”。 进入电诈园区后,他被要求背300多页诈骗话术,包装成“军官”,专门针对离异和年龄较大的女性实施诈骗。因为不愿配合、背不下话术,他多次遭到…
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#网友爆料:昨天波贝某盘口被端后续: 确定照片里面这个人 是整个盘口的主管 今天也在被捕人员之一 马来西亚人 他也做马来西亚项目 员工被解雇 不发工资 欺骗印尼员工 说帮忙办理新护照 哄骗来上班 带着马来西亚员工吸毒 天道好轮回 苍天饶过谁 报应来的真快 他们在9月中接到保护伞通知检查 马来员工全体休假 里面没有设备 只剩下了没护照的泰国员工和印尼员工 听说有大佬已经在找人花钱捞他出来 🌟商务合作 @yy261 🌟投稿曝光 @bx658
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#国内女生第一次来菲律宾 遭遇 #马尼拉T2机场 #黑车 绑架式抢劫 事件地点:马尼拉机场 T2 航站楼 T1 航站楼 作案车辆:黑色丰田商务车(车牌号:JAO 5494) 套路全过程还原: 伪装工作人员立信任:凌晨在T2,有两个挂着假工作牌的人凑过来,极其热心地说:“夜间穿梭巴士(Shuttle Bus)已经停运了。” 上车前承诺打表:我再三确认,对方信誓旦旦保证“按表收费(By Meter)”,结果一上车把车门锁死,瞬间变脸! 关门漫天要价+恐吓打感情牌:短短 7 分钟的路程(T2 到 T1),关上车门直接开口要 4500 比索(约合近600人民币)!我当时原本想态度强硬地录视频或者报警,但毕竟是凌晨一点,我一个女生身在异国他乡,心里真的很害怕,不敢硬杠。期间司机还在那疯狂卖惨诉苦,说自己有生病的母亲和儿子要养…… 团伙作案逼刷卡:司机所谓的“老板”一直在打电话指挥。最后直接把我拉到了一个叫 JJL tic…
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Showing the 12 most recent of 979 posts we hold for @baoguang852. 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 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.
@baoguang852 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“全网曝光台” (@baoguang852), 74,718 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/baoguang852.
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.