#网友投稿:来斯里兰卡3个月了,最近跟同事出去玩,好几个同事都找了兰卡妹子,除了有点黑,都挺好看的,看得我心痒痒。 问他们怎么找的也不说,想问下群里的大屌们,这些兰卡妹子都怎么找的,单身30年了,黄金右手撸不动了,想找个兰卡妹子共度余生了。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
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Channel
@SriLanka_news1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
30,236subscribers
-2,483 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001624401596 |
|---|---|
| Type | Channel |
| Username | @SriLanka_news1 |
| Description | 📢 资讯 / 招聘 / 交流 / 服务 新闻: @SriLanka_news1 交流: @SLLKGT 商家: @SLLKSH 外围: @SLLKYZJ 二手: @GLSHBL2 外卖: @SLLK668 点餐: @TGshzs_bot ✈️ 投稿 投稿联系韩茜茜: @HANXIXI 🇱🇰 斯里兰卡最大华人社区 群内禁黄,禁止发布涉黄内容 欢迎商家、人事、推广投稿 |
| 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 | 19 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/SriLanka_news1 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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, 17:16 | 30,236 | -278 |
| 17 Sept 2026, 05:18 | 30,514 | -192 |
| 15 Sept 2026, 04:02 | 30,706 | -142 |
| 13 Sept 2026, 11:16 | 30,848 | -99 |
| 11 Sept 2026, 14:01 | 30,947 | -153 |
| 8 Sept 2026, 21:40 | 31,100 | -94 |
| 5 Sept 2026, 12:58 | 31,194 | -31 |
| 3 Sept 2026, 15:20 | 31,225 | -23 |
| 2 Sept 2026, 11:53 | 31,248 | -50 |
| 1 Sept 2026, 11:04 | 31,298 | -91 |
| 31 Aug 2026, 09:28 | 31,389 | -43 |
| 30 Aug 2026, 07:49 | 31,432 | -45 |
| 29 Aug 2026, 06:25 | 31,477 | -22 |
| 28 Aug 2026, 09:04 | 31,499 | -21 |
| 27 Aug 2026, 06:04 | 31,520 | -42 |
| 26 Aug 2026, 09:18 | 31,562 | -35 |
| 25 Aug 2026, 08:35 | 31,597 | -42 |
| 24 Aug 2026, 08:52 | 31,639 | -24 |
| 22 Aug 2026, 19:56 | 31,663 | -36 |
| 21 Aug 2026, 11:13 | 31,699 | first reading |
274 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 72 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 21 of 94 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 274 (6 August 2026 – 4 September 2026) |
| Views total | 229,777 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 14:07 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 24 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 31 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.
42 reactions across 40 posts, in 3 distinct kinds. The most used accounts for 95.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 95.2% | |
| 👍 | 1 | 2.38% | |
| 🔥 | 1 | 2.38% |
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 60 of the 274 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 274 most recent posts we hold, published 6 August 2026 to 4 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.
#网友投稿:来斯里兰卡3个月了,最近跟同事出去玩,好几个同事都找了兰卡妹子,除了有点黑,都挺好看的,看得我心痒痒。 问他们怎么找的也不说,想问下群里的大屌们,这些兰卡妹子都怎么找的,单身30年了,黄金右手撸不动了,想找个兰卡妹子共度余生了。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
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超400名印尼电诈人员滞留金边旧机场 呼吁使馆介入协助回国 柬媒报道,475名(含48名女性)因非法在柬从事网络诈骗的印尼籍人员,目前被集中安置于金边旧机场货运区临时居留点。 该批人员系柬政府此前打击电诈时自行脱离窝点并向印尼驻柬使馆求助者,大多缺乏护照、非法居留或无力购买机票。 据悉,印尼使馆此前曾协助提供膳食及通行文件,但自8月30日起因资金耗尽停止资助。滞留人员生活陷入困境,急切呼吁印尼政府及使馆协助办理旅行证件并安排回国。 印尼狗推再忍忍吧 印尼政府没预算了~~ #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
肯尼亚 丨 4名中国公民涉嫌SIM卡换卡诈骗被捕,涉案现金超112万先令 9月2日,肯尼亚刑事调查局(DCI)通报,4名中国公民因涉嫌参与SIM卡换卡诈骗及相关洗钱活动被捕。四人已于9月1日在内罗毕Kibra首席裁判法院出庭,目前仍被羁押,法院定于9月4日审理保释申请。 案件源于一名内罗毕女商人的两张Safaricom手机号码突然失效。警方怀疑号码遭非法换卡后,被用于接收博彩及游戏平台资金,随后资金又通过多个手机号码和银行账户转移。 警方将案件调查指向4名中国公民,并在搜查行动中查获15张Safaricom SIM卡、9张Airtel SIM卡、6部手机、3张ATM卡、笔记本电脑以及1,125,800肯尼亚先令现金。 需要注意的是,112.58万先令是警方查获的现金,并不等同于案件总涉案金额或受害者损失。目前公开信息尚未披露完整资金流水。 警方此次调查的重点,可能包括SIM卡换卡授权、移动钱包交易、银行转账以及相关电子…
#国内资讯 利用虚拟货币非法汇兑近200亿元,上海警方抓获19名犯罪嫌疑人 9月4日,上海警方披露,经过数月侦查,成功捣毁一个利用虚拟货币从事非法汇兑的特大地下钱庄犯罪团伙,涉案金额近200亿元人民币,19名犯罪嫌疑人落网。 该团伙主要通过“人民币→虚拟货币→外币”的方式进行非法资金兑换。客户将人民币转入境内指定账户后,团伙在境内购买等值虚拟货币,再由境外关联人员出售虚拟货币,将兑换所得外币转入客户指定账户。 由于人民币和外币并不直接跨境流转,而是通过虚拟货币进行价值转换,这种方式具有较强的隐蔽性。 警方调查发现,该团伙分工明确。刘某负责对接客户、联系币商并下达转账指令;徐某、高某等人负责招募人员、注册空壳公司和开设银行账户;其他成员则负责大量资金划转,通过海量交易流水掩盖资金真实用途。 案件线索源于今年1月。警方发现有人在社交平台公开推广“无额度限制、快速到账”的换汇业务。经过3个月的资金穿透和深入调查,警方逐步摸清…
美驻柬使馆倡议加强执法合作 共同打击电诈及跨国犯罪 美国驻柬埔寨使馆临时代办亚历克斯·齐特尔近日拜会柬埔寨副总理兼内政部长苏速卡,双方就深化执法合作及打击跨国犯罪深入交换意见。 美方强调执法合作的重要性,鼓励柬方加大对涉及电诈等犯罪集团的调查与起诉力度,并指出许多团伙与跨国犯罪网络有关。 双方还探讨了信息共享及美方提供技术援助等事宜,以提升柬埔寨刑事司法应对能力,保护两国公民安全。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
一名中国公民在菲被羁押期间不幸离世,中使馆向菲方提出严正交涉! “中国驻菲律宾大使馆”微信公号:9月1日,一名中国公民在菲律宾移民局拘留所被羁押等待遣返期间不幸离世。中国驻菲律宾大使馆对此深感震惊和痛惜,已第一时间向菲方提出严正交涉。 需要强调的是,中国使馆此前已提醒菲拘留所,该中国公民身患严重基础疾病,健康状况存在较大风险,明确要求菲拘留所予以高度重视,密切关注其身体状况,并及时采取必要的医疗救治措施。中国使馆已要求菲方立即对事件展开全面、公正的调查,尽快查明事实真相,并向使馆作出全面、客观的通报。对于调查发现的失职、渎职行为,必须严肃追究有关人员责任。 生命安全是最基本的人权。无论何种身份、是否处于羁押状态,生命和基本人道权益都应得到保障。中方敦促菲方立即采取有效措施,确保被羁押人员获得必要的医疗保障和人道主义待遇,坚决防止类似悲剧再次发生。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @Sll…
#网友投稿:我是一名小盘总,看到不少同行在马来西亚被黑警吓唬,最后给了几千甚至几万马币。 下面说一下我自己在马来西亚的经历,给各位朋友参考,能避开一点是一点。 我每次出门都会带3台手机,一台苹果17PM私人手机,只装微信、支付宝、打车App和TNG;另外两台苹果16PM是工作手机。3台手机全部设置8位密码,并开启连续输错10次自动抹掉手机数据的功能。不懂怎么设置的,可以自己去Google找教程。 8月份,我在吉隆坡一共遇到过5次黑警,一分钱都没给过。 其中一次,我打车出门遇到查车。他们把车拦下来,先问司机是不是我叫的车,又问我有没有护照。确认我是中国人后,让我先把车费给司机,然后把我留下。 当时我马上开始在另外两台工作手机上故意输错密码。我之前已经提前输错了6次,因为iPhone锁屏密码连续输错后会逐步增加等待时间:前5次一般还能继续尝试,第6次等待1分钟,第7次5分钟,第8次15分钟,第9次60分钟,第10次如果开启了…
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东帝汶警方捣毁帝力一电诈窝点 抓获6名中国籍嫌疑人 9月3日报道:东帝汶国家警察刑事调查局(DSIK)联合警察情报局(DSIP),于9月2日19时在首都帝力科尔梅拉(Kolmera)地区展开突击行动,成功端掉一处电信诈骗窝点,现场抓获6名中国籍嫌疑人。 据东帝汶警方通报,落网人员中有2人此前便卷入同类电信诈骗案件,曾经根据法院裁决予以释放。 此次行动源于警方掌握科尔梅拉片区存在违法活动线索,经刑事、情报部门联合侦查取证后实施抓捕。 行动现场起获大批诈骗作案工具,包括7台笔记本电脑、5台台式电脑、11部手机、2套星链(Starlink)卫星上网设备、1台Wi‑Fi路由器、1台平板电脑,另外查扣涉案汽车1辆、护照7本。 目前,全部涉案设备与证件已经移交调查取证,警方正在勘验物证,梳理团伙人员关系。 6名嫌疑人被羁押于帝力国家警察总司令部拘留所,案件还在进一步侦办当中。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加…
中国驻斯里兰卡使馆关于重申办证要求的通知 为促进中斯人员往来、便利斯里兰卡公民赴华出行需求,谨对签证申请相关要求发布如下通知:1.为避免因订单反复修改影响行程,请务必认真、完整、准确填写在线签证申请表。伪造、变造邀请函,填报虚假信息或者提交虚假申请材料将导致拒签,并影响今后申请赴华签证。 2.一些中介机构和申请个人在办理赴华签证中存在申请材料造假、隐瞒收费项目、延误办证进度等问题,严重违反赴华签证办理要求的同时,损害申请人和自身利益、影响签证申请进度。我馆已对上述机构和个人作出严肃处理,请相关机构和个人严格按照办证要求提供真实准确材料,并建议符合材料要求的申请人通过官方网站(https://consular.mfa.gov.cn/VISA/)自行提交申请。 3.我馆坚持依法、廉洁、高效办理签证,严禁任何当地雇员借签证审发谋取私利。如若存在违法违规行为,一经查实,必将依法依规处理。欢迎社会各界和广大申请人依规依据监督举报。中…
人在低谷时,不要打扰任何人! 作者:VV 人生在世,谁也不可能,一辈子都顺风顺水。月有阴晴圆缺,人有祸兮旦福。人生百味,总有酸甜苦辣咸等着你。任何一个人,都不可能总是独享蜜糖。人在脆弱时,总希望有人陪;人在落魄时,总希望有人帮。 但其实,处在低谷时,不打扰他人,才是应有的体面。人情如纸薄,世事如棋新。有句古话说的好,“穷在闹市无人问,富在深山有远亲”。这世界,锦上添花的人很多,雪中送炭的人却很少。别太高估了你与任何人的关系,过多的期望,换来的可能是失望。 时间识人,落难知心 有人说:“时间,是最好的过滤器;岁月,是最真的分辨仪。”深以为然。很多时候,人与人的感情并没有想象中那么牢固。在利益面前,感情显得那么脆弱,简直不堪一击。日久不一定见真情,但一定见人心。 人在低谷时,不要打扰别人 人生在世,有几个人不曾在深夜痛哭过。与其想着找地方靠,不如自己站稳点。别事事都指望他人,没有人会一直无条件地帮着你。成年人的崩溃,都是悄无…
#柬埔寨资讯:遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日,根据柬埔寨内政部领导的指示,移民总局近日在德乔国际机场开展执法行动,通过专机将122名中国公民遣返回国,其中包括3名女性。 据移民总局消息人士透露,这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
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上万人从柬转移至缅甸继续从事电诈 据《南华早报》援引反人口贩运组织人士消息,柬埔寨近期大规模清剿电诈后,约1万至2万名外国人从柬埔寨转移至缅甸,继续从事网络诈骗活动。 相关组织估计,目前缅甸电诈园区内仍有超过1.37万人被困,包括印度、埃塞俄比亚等国人员,其中一些人被指从柬埔寨转移甚至再次转卖至缅甸。与此同时,电诈团伙也开始向印度尼西亚、斯里兰卡等地转移。 #斯里兰卡 #斯里大事件 😍订阅斯里兰卡大事件 ✅加入互助群: @SllkGT @OF111 ✅商家合集: @TGshzs_bot 📮投稿爆料: @HXX66_BOT 1⃣投稿商务: @HANXIXI
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Showing the 12 most recent of 274 posts we hold for @SriLanka_news1. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 8 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.
“斯里兰卡大事件” (@SriLanka_news1), 30,236 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/SriLanka_news1.
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.