#网友爆料 #候千千 #李乐 电诈核心人物 【波贝宝龙四17号院被曝军方背景黑公司!百余人被困,负责人李乐被指控贩卖人口、殴打致死,已逃往佤邦】 据网友实名爆料,柬埔寨波贝原宝龙四17号院一家据称有军方背景的诈骗公司,员工逾百人,多数为被绑架贩卖而来。该公司负责人李乐(原名候千千,湖北省荆州市人)被指控涉及人口贩卖、强制压榨员工、殴打致死等多起案件,并存在克扣工资、欺诈行为及资金转移等指控。据称,该团伙活动持续约两年后,李乐已逃往缅甸佤邦第二特区南邓地区,在当地保护伞庇护下继续从事国内资金盘诈骗活动。宝龙四园区此前已多次被曝光为电诈重灾区,有信息称该园区至今仍有数千名中国人被困。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807

Channel
斯里兰卡|新闻曝光|东南亚资讯
@SLLK666
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
5,263subscribers
-426 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001889958478 |
|---|---|
| Type | Channel |
| Username | @SLLK666 |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/SLLK666 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 03:11 | 5,263 | -312 |
| 18 Aug 2026, 05:52 | 5,575 | -114 |
| 17 Aug 2026, 10:30 | 5,689 | no change |
| 17 Aug 2026, 10:15 | 5,689 | first reading |
Engagement
11 posts held, back to 17 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.035%
- avg views ÷ 5,263 subscribers
- Avg views / post
- 1.8
- 11 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 11
- of 11 held
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.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 11 (17 August 2026 – 17 August 2026) |
| Views total | 20 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 10:30 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.
What this channel posts
- Video runtime
- 27s
- Average length
- 27s
Measured directly from 1 video 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.
Recent posts
#网友反馈 今天中午,马来西亚吉隆坡Ampang Pandan Mewah 一带展开大规模执法行动,目前已有约5辆大型执法车辆抵达,现场道路据称已被封锁,移民局(JIM)车辆暂时尚未到场。 目前暂时不清楚此次行动究竟是针对网络诈骗活动,还是检查非法外劳及移民身份,附近的注意点!!!如需外出,建议提前准备好护照、工作准证等有效证件,以备执法人员检查 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#印尼资讯 【👥印尼人口突破2.9亿 Z世代成最大群体】 8月16日,越通社等媒体援引印尼内政部人口与民事登记总局最新数据报道,印尼2026年上半年清洁人口数据达2.9012亿,较2025年底增加约181万。其中15至64岁劳动年龄人口占69.3%,约2.01亿人,人口红利显著。按世代划分,14至29岁的Z世代以7536万人成为最大群体,占26%;千禧一代6853万人居次。西爪哇省以5259万人保持人口第一大省。登记总局局长特古提醒,人口红利不会自动转化为经济增长,关键在教育、技能、医疗和就业机会。数据还有不少趣闻:12.9万印尼人生于2月29日;有人名字长达79个字符;190人取名"鸣人"致敬《火影忍者》。电子身份证方面,2.08亿人已完成生物识别注册,完成率达97.3%。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#国内新闻 闽侯警方捣毁一处涉诈窝点,查扣实名电话卡2144张 近日,福建福州警方精准出击,成功捣毁一处涉嫌电信网络诈骗的窝点,当场抓获3名涉案嫌疑人。 行动中,警方现场查扣实名电话卡2144张、手机26台、电脑3台。目前,3名嫌疑人已被依法控制,案件正在进一步侦办中。 警方提醒,切勿为他人办理、购买或提供实名电话卡、银行卡等通信工具,一旦被用于电信网络诈骗,相关人员可能面临法律责任。广大群众也应提高警惕 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#网友爆料 #柬埔寨金边3号安置点 从酒店误抓三个月不遣返,安置点断粮变相敛财,到底谁来管管?! 我已经被扣在所谓的“安置点”整整三个月了!当初明明是在酒店被误抓进来的,既不给说法,也不办理遣返,就这么无限期拖着。更绝的是,这里的基本生活保障说断就断,根本就是在逼人自费! 大家来看看这里的真实生存现状: 一楼的情况: 承诺保障的免费米饭说没有就没有。连续问了好几天,工作人员要么拖延说“等通知”,要么脸色一甩直接一句“没有”转头就走。所谓的一日三餐,现在一天只给一餐,剩下两餐全得自己掏高价点餐!多问两句都怕被打击报复,连拍照取证都要偷偷摸摸。 二楼的情况(我们房间): 整整一个月连一粒配给的米饭都没见到过!所有人全靠自费买饭,不仅价格贵得离谱,送上来的居然还是过期食品! 嘴上喊着统一安置、保障生存,实际上却是克扣口粮、敷衍推诿,甚至靠卖过期高价饭变相敛财!既然承诺了基本保障,凭什么兑现不了?多问一句就是态度极其恶劣,…
#网友曝光 #U8国际 今天说一个大家都耳熟能详的台子,U8国际。这个台子应该是产于KK,之前在KK大力发展,因为在园区打广告,很多人都去玩。 我整个公司有80多号人,很多人都是用泰铢上下分。因为四大园区没有U钱包,大部分人基本都是用这种方式。 关注 @bg558 这个台子恐怖到什么程度,我自己前前后后充值了10多次,差不多40多万泰铢,一次都没下过分。我们公司80多个人里,应该有20多个也在玩,基本上有的人被掏空,有的人甚至被打到饭都吃不起。 从那以后,我就没再玩过U8。因为只要谈到U8,身边听到的基本都是被杀得死死的,几乎没见过有人赢钱。 后来园区里还有很多博彩台子,比如N1、2028球速、182这些。我又抱着赌徒心理去玩,结果和U8截然相反,这几个台子起码都是有来有回。其中有个别台子我还赢过1万多U,下了30多万泰铢,这件事我记忆特别深。 也是从那个时候开始,我就觉得U8绝对是一个可以控制杀率的台子,所以后面…
#泰国新闻 警方逮捕冒充他人身份诈骗嫌犯涉案账户交易超900次,关联全国超900宗报案 8月15日,泰国中央调查局逮捕28岁男子萨南。其涉嫌创建虚假脸书账号,冒充受害者女儿,诱骗对方转账4,699.99泰铢。警方调查发现,涉案银行账户交易次数超过900次,与全国超过900宗网络报案相关联。 900次交易、900起报案、一个账号——这套数据说明,这起案件不是偶发,而是一个被反复使用的诈骗工具在持续运转。而4,699.99泰铢的单笔金额虽不大,但乘以900次,就是一笔可观的损失。目前警方正进一步追查该账号的资金流向及背后操控者,案件正依法处理中。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#重要通知 要进亚太的人从明天开始都不可以进去了(正常报备也不可以进去了) 免责声明:素材来源于网友匿名投稿,未对内容真实性进行核验,本频道仅作分享,不代表任何立场。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#马尼拉 暴雨引发多地积水!部分路段齐膝深 轻型车辆注意🌧🌧 8月17日上午,菲律宾马尼拉大都会受西南季风Habagat降雨影响,多座城市出现道路积水,部分路段通行受阻。 马尼拉、帕赛、塔吉格、曼达卢永、马卡蒂、奎松等地均发现积水,其中塔吉格东辅路靠近PNR Nichols站一带积水约19英寸,达到膝盖深度,轻型车辆无法通行。 马卡蒂EDSA Magallanes隧道也出现通行限制,部分道路并非所有车辆都能通过。 目前不少积水路段仍可通行,但雨势持续期间水位可能进一步上涨。当地司机和骑士出行需提前关注路况,尽量避开深积水区域。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#警告帖 #刘成(老刘)欠债还钱天经地义 这是第一次警告也是最后一次 6月份你找我拿钱说自己没法生活了被前女友绿了身上没有钱用 ,本着大家认识多年出于信任拿了17500人民币给你 一万是微信 七千五是现金 这些我都有截图跟照片,你现在消失不回消息 。我也不想把事做绝,给你一天时间联系我把事情处理好。欠我的钱还给我 ,否则你真实姓名 身份证照片,以及你之前工作的地址照片我全部曝光 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
#群友投稿:东南亚大事件发的帖子,养活不少国内的作家啊。一个个没去过东南亚的人,天天在国内写东南亚故事,一个比一个悬,有鼻子有眼的🤣 结尾:“别想那么多,小林!我肯定不会传播的,你好好做业绩,这2000你自己留着吃喝,园区里物价贵,没钱是寸步难行!不早了,你早点回去休息吧!” 主管这才把公司的空调,灯关掉,把门锁上,两个人一起走出公司。 关注斯里兰卡大事件➡ @SLLK666 投稿:@Dn807
Showing the 11 most recent of 11 posts we hold for @SLLK666. 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
Citation-graph rank — 1,229,385 of 1,584,733entries 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.
Mentions
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.
Cite this entry
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“斯里兰卡|新闻曝光|东南亚资讯” (@SLLK666), 5,263 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/SLLK666.
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.