#群友投稿:昨天越南北宁市又抓走了一批狗推,部分人员躲到屋顶上了,真是不要命,这个板子看的就不结实。
👍1
Signed 无情道🏴☠️

Channel
@baoguang88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,161subscribers
+3,286 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 |
| Description | 专注:【菠菜曝光,菠菜事件,菠菜安危】 重点: #黑园区 #黑公司 #黑平台 #黑名单 国家: #柬埔寨 #菲律宾 #缅甸 #泰国 #斯里兰卡 #马来西亚 #越南 #格鲁吉亚 #亚美尼亚 #阿联酋 #马尔代夫 #非洲 👍福利:删帖收入全部归投稿人 本频道谢绝任何政治新闻,独立思考,明辨是非。 本频道鼓励尊重友好的交流方式,评论意义的内容,严禁广告! 💎投稿/商务: @Guyiyi_bot |
| 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 | 6 November 2026 |
| Measurements held | 105 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/baoguang88 |
Other / unclassifiable — 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 44% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 07:46 | 14,161 | no change |
| 6 Nov 2026, 07:16 | 14,161 | +8 |
| 5 Nov 2026, 08:55 | 14,153 | no change |
| 5 Nov 2026, 08:30 | 14,153 | +2 |
| 4 Nov 2026, 10:01 | 14,151 | +2 |
| 4 Nov 2026, 06:31 | 14,149 | +11 |
| 3 Nov 2026, 07:40 | 14,138 | no change |
| 3 Nov 2026, 06:56 | 14,138 | +17 |
| 2 Nov 2026, 07:57 | 14,121 | no change |
| 2 Nov 2026, 04:28 | 14,121 | -5 |
| 1 Nov 2026, 11:06 | 14,126 | -10 |
| 1 Nov 2026, 04:38 | 14,136 | +2,991 |
| 31 Oct 2026, 08:05 | 11,145 | no change |
| 31 Oct 2026, 01:57 | 11,145 | -14 |
| 30 Oct 2026, 09:01 | 11,159 | -27 |
| 29 Oct 2026, 23:31 | 11,186 | -12 |
| 29 Oct 2026, 09:48 | 11,198 | +4 |
| 29 Oct 2026, 02:10 | 11,194 | +11 |
| 28 Oct 2026, 07:50 | 11,183 | no change |
| 28 Oct 2026, 03:49 | 11,183 | first reading |
506 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 56 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 9 of 77 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 506 (6 August 2026 – 6 November 2026) |
| Views total | 2,609 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 18:06 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 6 November 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 124 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.
29 reactions across 25 posts, in 10 distinct kinds. The most used accounts for 20.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6199443554113165078 | 6 | 20.7% | |
| 👍 | 6 | 20.7% | |
| custom 6206331470475170122 | 3 | 10.3% | |
| custom 6226763729413868020 | 3 | 10.3% | |
| custom 6325365904968259125 | 3 | 10.3% | |
| custom 6294316259240581420 | 2 | 6.90% | |
| custom 6323173148069993006 | 2 | 6.90% | |
| 🙏 | 2 | 6.90% | |
| custom 5819152624145931416 | 1 | 3.45% | |
| ❤ | 1 | 3.45% |
Custom emoji. 7 of the rows above are 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 are Telegram’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 26 of the 506 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 506 most recent posts we hold, published 6 August 2026 to 6 November 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.
Telegram’s own ‘edited’ marker: 1 of 77 posts held from the last 30 days (1.30%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#群友投稿:昨天越南北宁市又抓走了一批狗推,部分人员躲到屋顶上了,真是不要命,这个板子看的就不结实。
👍1
Signed 无情道🏴☠️
#币圈盗U事件: DarkSword 据称通过一个简单的 Safari 链接利用 iOS 漏洞。 无需钱包连接。无需签名。无需批准。只需打开一个恶意网站,就可能暴露你的钱包和种子短语。20多个钱包被针对。只需一键。 对于这个无感盗U 特别是现在IOS用户的 我的建议是: 买个新手机(不要用苹果) 现在被无感盗u的基本上99%都是苹果 反而安卓机很少有被盗 手抄助记词 不要连WIFI 新手机除了冷钱包以为别下载任何app 不要浏览任何网页 也别点击任何链接 天王老子来了也别想盗走
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Signed 无情道🏴☠️
#网友投稿:近期看新闻,马来西亚一直在抓人,被举报后直接突击打野团队的公寓。 本人在马来西亚也有两年时间了,深度了解关于被抓后外交方面的问题。 首先要明确的是,如果被移民局抓到,先看你的护照。如果护照逾期,那么基本上没办法操作,是一定要被遣返回国的。 护照正常的情况下,哪怕被抓,现场一般开完庭,稍微运作一下就会放出来了,没有任何影响。 护照逾期90天是一个分水岭。90天内逾期,补缴罚款即可;如果超过90天,需要重新激活,市场价大概在2500RM左右。激活后等于你重新入境了,又可以在马来西亚待30天,然后可以续签2个月左右,加起来就是3个月的时间。 在这期间,哪怕在电脑前面被抓,也会很容易出来的。 所以奉劝那些公司的员工,不要想着出境的时候公司在替你去处理护照的问题就可以了。如果能早日处理护照逾期的问题,哪怕被抓都没有什么大问题。 如果在逾期的时间内被抓,哪怕在马来西亚不会坐牢,遣返回去大概率也是落地被盘问、带走的。…
👍1
Signed 无情道🏴☠️
#泰国新闻 普吉移民警察逮捕24岁哈萨克斯坦红色通缉嫌犯 涉伪造文件设立代持公司 【事件通报】一名被国际刑警组织红色通缉令通缉的24岁哈萨克斯坦男子谢尔盖(Sergei),11月3日在普吉府卡图县芭东分区一处租住房屋内被泰国移民警察逮捕。 【调查细节】哈萨克斯坦驻泰国大使馆与国际刑警组织此前请求普吉府移民局协助查找此人,移民官员依据线报和数据库锁定其住处,在楼栋管理人员协助下敲门核查身份。哈萨克斯坦当局指控,谢尔盖与一个伪造文件设立20多家代持公司的网络有关。当局称这些公司被用于通过代持人洗钱并提取现金以逃避纳税,造成的损失为560,833,701坚戈,约合4170万泰铢。案件被查获并发出红色通缉令后,谢尔盖逃离本国并藏身泰国。上述指控来自哈萨克斯坦方面,尚未经泰国法院审理认定。普吉移民部门表示,正协调相关方面办理后续移交事宜,并依法处理其在泰居留问题。
Signed 无情道🏴☠️
#国内资讯 网信部门从严查处利用AI技术假冒仿冒公众人物问题 近日,针对利用AI技术假冒仿冒知名公众人物虚假带货、吸粉引流、误导网民等问题,网信部门督促网站平台深入开展集中整治,从严查处违法违规信息和账号,累计清理违法违规信息4.7万余条,处置账号3961个。 为进一步加强警示教育,现将查处的部分典型案例通报如下: 1.未经授权假冒仿冒公众人物带货。 微信账号“花**记”“时**叙”“秀**8”、抖音账号“微**天”“S**物”、小红书账号“小**C”“瓦**款”未经授权,利用AI技术仿冒名人肖像、合成名人声音,或者盗用公众人物家属肖像照片、形象变体等进行商品推广、引流带货。相关账号已被依法依约处置。 2.滥用公众人物形象炮制谣言信息。 微信账号“山**话”“旧**故”盗用公众人物肖像照片,利用AI特效编造公众人物患阿尔兹海默症等谣言信息,误导公众。相关账号已被依法依约处置。 3.假冒公众人物诱导用户关注。 抖音…
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Signed 无情道🏴☠️
中领馆紧急提醒:误入印度境内也可能坐牢!一名中国公民在尼泊尔边境被印度边防部队拘捕 近日,一名在尼泊尔的中国公民在尼泊尔与印度边境地区活动时,因误入印度境内,被印度边防部队拘捕。 11月6日,中国驻加尔各答总领事馆发布安全提醒,通报上述事件,并再次警告在尼泊尔的中国公民,切勿擅自前往尼泊尔与印度接壤的边境地区,以免因误入印度境内而承担严重法律后果。 领馆指出,尼泊尔与印度边境属于开放边境,部分区域国界标识较少,中国公民在边境地区活动时,很容易在不知情的情况下进入印度境内。一旦没有提前取得有效的印度签证,就可能被印度边防部队或警方拘捕。 领馆特别强调,印度对非法入境行为处罚严厉,不论是有意越境还是无意误入,一旦被发现,都可能遭到拘捕并移送司法机关,面临2年至8年监禁及罚款,而且获得保释的难度较大。 此外,领馆还提醒,即使持有有效印度签证,进入印度后,未经印度官方书面许可,也不得擅自前往外国人限制进入的区域。同时,必须在签…
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Signed 无情道🏴☠️
菲律宾假借打击非法POGO之名抢劫勒索中国商人!7名警察涉案,11人遭刑事起诉 菲律宾再曝执法人员涉嫌勾结犯罪分子,利用打击非法网络博彩(POGO)的名义,对中国籍商人实施绑架、抢劫及勒索。 11月5日,菲律宾国家调查局(NBI)通报,7名警察及4名平民因涉嫌参与针对中国公民的有组织勒索行动,已被提出刑事指控。 案件发生于10月21日,地点位于菲律宾甲米地省阿方索市(Alfonso)一处农庄度假村。一伙持枪人员冒充执法人员,以受害者涉嫌经营非法POGO为由,突然闯入度假村,控制一名中国籍女商人及其同伴。 据受害者陈述,嫌疑人最初索要1000万比索赎金,随后多次降低金额,最终降至700万比索,并要求通过加密货币支付。 除了勒索赎金,嫌疑人还搜刮度假村,抢走约200万比索价值的现金、珠宝、电脑及其他电子设备,并扣押受害者的护照,额外索要50万比索作为归还护照的费用。 受害者随后向菲律宾国家调查局求助。NBI展开多轮诱捕及…
Signed 无情道🏴☠️
#网友曝光 #冯欣雨 #小涵 #名鸡骚鸡 东南亚 名鸡骚鸡 冯欣雨/艺名小涵 安徽省马鞍山人!此女目前在马来西亚当扶手,以前混迹东南亚许久 此 骚鸡 八宗罪的前三宗罪,今日特此公开,并且附带其打炮 扣逼视频,满足一下喜欢打飞机的小哥哥 (后五宗罪等待更新) 现在直入主题 第一宗罪:职业卖逼,知三当三,又当又立 混迹于印尼柬埔寨吉隆坡香港坐台卖逼,18岁开始在杭州坐台而后混不下去了又来到吉隆坡坐台,人不做来做婊子只在吉隆坡立人设 此女很坏,第一次在外面到处说借钱给我男朋友,实际是借钱给别人去赌博害别人,并且她会开多号炒群去聊男人圈男人的钱,但凡在包厢里面看到有资质的男人,想方设法都要去勾引,即使知道别人有女朋友,也想方设法要去睡,近期网络上撕逼的对象就是我姐妹,曹尼玛你个傻逼女的,知道人家男的有老婆,你为了卖逼你陪睡就算了,你他妈你还要发展感情?不断骗钱?还要造谣别人女朋友,东南亚有这样的规矩是吗?你会死在东南亚,草拟…
Signed 无情道🏴☠️
#网友投稿 #木森体育 木森体育黑网,大家避雷不要上当。 木森体育是鸭脖二代包网,充值4000提款3500,全部玩的体育流水一万多,提款说要验证要我银行卡存600,我存了,后面又说要验证需要再存1000,这不妥妥的杀猪吗?把玩家当猪宰,没想到这种环境还这样杀玩家,玩过这么多平台,这是最黑的一个。请大家一定避雷!!!
Signed 无情道🏴☠️
#群友爆料 #啊光 #何胜 此人外号“啊光”,真名何胜,湖北人。 事情的起因是,他说自己在马来西亚搞了一个海外股票项目,然后我这边就给他介绍了一些员工过去。提前跟他说得很清楚,现在安排人员会产生一些费用,有的代理每个月也需要一些生活费。 当员工到了之后,他就开始找各种理由推脱。所有人员前往马来西亚之前,都是我这边先垫付费用。他自己装逼,请别人吸毒、包厢消费,十几天了,小费也没有给妹子,共计7900马币。拿着一个报销机票的转账,一直在扯淡。到了之后,报销的一些款项大部分也都没有给。 人员来来回回,我自己花了2万美金左右,最后全部都是自己亏。 然后他又说海外股票的人员满了,要叫我们的人去做国内的A股。我说我这边的人不做国内的。 然后他就开始挖底下的代理。给了你时间让你处理,你就是要玩包吃! 你让我损失了金钱、信用,还白忙一场,倒贴20000多美金。那么,大家都别好好玩了! 此人大家一定要注意,满嘴口嗨,公款吸DU,毫…
Signed 无情道🏴☠️
#网友投稿 出国之前以为东南亚遍地是黄金,出国之后才发现遍地是警察。以前在国内嫌工资低,天天想着出国赚大钱,现在好了,钱没赚到几个,倒是把东南亚地图背得滚瓜烂熟。从柬埔寨金边到西港,从缅甸妙瓦底到老街,从老挝金三角到马来西亚吉隆坡,哪里有园区,哪里有检查,哪里又抓了几十上百个人,比当地人还清楚。 以前上班最怕主管问业绩,现在最怕群里突然来一句:兄弟们,今晚大检查!每天打开飞机,不是哪个园区被端了,就是哪个老板跑路了,哪个主管被抓了,哪个同行又被遣返回国了。 昨天还在群里吹牛逼说这个月要冲几十万U,今天人已经在移民局排队了。上午还在研究客户心理,下午就开始研究怎么跟警察解释自己为什么有十几部手机。以前以为打野自由,想在哪里办公就在哪里办公,现在才知道,办公室租在哪里,心就悬在哪里。住公寓怕被查,住别墅怕被端,住酒店怕查护照,连下楼吃碗粉都担心回来发现同事没了。 最离谱的是,出国这么久,客户没骗到几个,自己倒是被同行骗得明明白…
❤1
Signed 胖虎🇵🇸 (资金往来务必裸聊确认)
#群友反馈:今晚吉隆坡过12点大检查,各单位注意了!
Signed 无情道🏴☠️
Showing the 12 most recent of 506 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.
Named by 11 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件(极速头条)” (@baoguang88), 14,161 subscribers as measured 6 November 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.