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Channel

斯里兰卡大事件|斯里兰卡新闻|LK生活咨询攻略(有偿投稿)

@SLLK8

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

7,679subscribers

-17 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002124876412
TypeChannel
Username@SLLK8
Description斯里兰卡 💬商务合作,有偿投稿:@xiaoke6662 💬商务合作,有偿投稿: https://t.me/xiaoke6662
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/SLLK8

Growth

7,6797,6967,687.57 August 2026 — 7,696 subscribers8 August 2026 — 7,694 subscribers10 August 2026 — 7,679 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -17. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,676–7,699 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 19:447,679-15
8 Aug 2026, 00:117,694-2
7 Aug 2026, 17:477,696first reading

Engagement

65 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.165%
avg views ÷ 7,679 subscribers
Avg views / post
12.6
65 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
65
of 65 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held65 (7 August 202612 August 2026)
Views total822
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:14 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

Photos
11,000
Videos
2,860
Links
5,010

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Video runtime
32m 59s
Average length
1m 00s

Measured directly from 33 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.

Recent posts

12 Aug 2026, 10:56 UTC26 viewsread 12 August 2026
Photo

朱镕基同志逝世 中国共产党中央委员会、中华人民共和国全国人民代表大会常务委员会、中华人民共和国国务院、中国人民政治协商会议全国委员会沉痛宣告:中国共产党的优秀党员,久经考验的忠诚的共产主义战士,杰出的无产阶级革命家、政治家,党和国家的卓越领导人,中国共产党第十四届、十五届中央政治局常委,国务院原总理朱镕基同志,因病医治无效,于2026年8月12日11时06分在北京逝世,享年98岁。 朱镕基同志,1928年10月生,湖南长沙人。 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:34 UTC15 viewsread 12 August 2026
Video

#最新消息:今天中午金三角特外杀疯了,老挝警察到处查,到处追,没护照的兄弟赶紧撤!!! PS:看监控都开枪了,安全最重要,开工无所谓 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:16 UTC16 viewsread 12 August 2026
Video

#网友反馈:昨天凌晨在马来西亚雪兰莪州锡米山,抓了几百个外劳,缅甸人居多,还有少于居住在那边的中国人。 PS:马来西亚天天抓外劳怎么抓不完一样? ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:13 UTC12 viewsread 12 August 2026
Video

#群友投稿:老挝金三角“特外”,现在有几个大老黑正在无情殴打盘口的中国籍代理! 起因是最近老挝抓人抓的比柬埔寨还凶,搞得公司干不下去了,都快破产了,代理工资没有给老黑们结算清楚,老黑就怒了! ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:11 UTC11 viewsread 12 August 2026
Video

#网友反馈:越南胡志明“7郡”vin公寓,现在有当地警察挨家挨户敲门核对证件,刚刚从我这里走,附近证件不齐全的兄弟注意规避! ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:10 UTC9 viewsread 12 August 2026
Video

#群友爆料:我单位于今日8月11日向三佛塔全面进攻 打击电信诈骗 此次联合多方武装共同打击BGF 势在必得 希望在三佛塔附近的园区里面的兄弟们早点撤离吧 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:06 UTC8 viewsread 12 August 2026
Photo

#群友投稿:🇰🇭西港伯莱旁边有打野的被围了,现场还在摇人叫宪兵过来,附近兄弟注意!!! ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:05 UTC10 viewsread 12 August 2026
Photo

#群友吐槽:公司刚搬到斯里兰卡就给我整破防了,在电梯里看到一个黑哥们抱着一个非常漂亮的小姐姐,我脑袋里都在幻想着她吃黑屌的样子,为什么不是我😭😭😭 话说小姐姐们,黑人哪里好了?要体贴没有咱们敲键盘的舔狗体贴,要实力没有咱们盘总有实力,到底图个啥? PS:中国男人都是包茎包皮小鸡巴小姐姐不喜欢情有可原 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 10:01 UTC8 viewsread 12 August 2026
Photo

#柬埔寨资讯:10天内驱逐788名非法外国人,涉及21个国家和地区,315名中国籍涉诈人员被遣返 柬埔寨移民总局近日公布,在8月1日至8月10日期间,柬埔寨执法部门依法驱逐非法居留及涉嫌违法犯罪的外国人共788人,其中女性92人,涉及21个国家和地区。 被驱逐人员涉及的21个国家和地区包括:韩国、中国、中国台湾、多哥、泰国、尼日利亚、尼泊尔、孟加拉国、巴基斯坦、马来西亚、缅甸、利比里亚、越南、新加坡、斯里兰卡、加纳、印度、印度尼西亚、意大利、德国以及埃及。 其中:315名中国籍人员(包括15名女性)因涉嫌参与网络诈骗(Online Scams)犯罪活动,被柬埔寨通过特别航班遣返回中国,分别经由德崇国际机场和暹粒吴哥国际机场出境。 14名泰国籍人员(包括3名女性)因涉及网络诈骗案件,被通过戈公省柴桢国际边境口岸(Cham Yeam International Border Gate)遣返回泰国。 此外,其余被驱逐外国人还

12 Aug 2026, 10:00 UTC9 viewsread 12 August 2026
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#国内新闻 安徽1至7月反诈战果公布 拦下9169万元现金和17.6公斤黄金 安徽省政府新闻办8月11日上午举行发布会,公布今年以来全省打击治理电信网络诈骗工作情况。 今年1至7月,安徽电诈案件数同比下降38.6%,损失同比下降44.2%。自2025年7月以来,全省已连续12个月实现电诈案件数和损失数同比双下降。 同期,安徽打击处理电诈及关联犯罪违法人员数量同比上升13.7%,依法联合惩戒2621人。警方联合银行拦截已经向诈骗团伙交付的现金9169万元、黄金17.6公斤,并向被骗群众返还资金2.8亿元。 今年以来,安徽警方已见面劝阻3.86万人,同时持续清剿出租、出借银行卡和手机卡、盗接盗打电话、跑分洗钱等涉诈黑灰产,并加强涉诈重点人员劝返管控,严防人员外溢作案。 通信行业方面,今年已核查处置涉诈异常电话卡87.9万张,协助公安机关拆除“黑盒子”设备72套,抓获涉案人员30名。 ——————————————— 👥斯里兰

12 Aug 2026, 09:55 UTC8 viewsread 12 August 2026
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🇱🇦 老挝万象警方捣毁网络诈骗窝点 逮捕261名嫌疑人 近日,老挝万象警方突击搜查塔銮湖专区一处大楼,成功破获一起特大电诈及网赌案,逮捕来自7个国家和地区的261名嫌疑人(包括153名中国籍、61名越南籍、36名泰国籍等),并缴获近500台电脑及2355部手机。 此前,警方于7月18日在万象另一起行动中抓获589名嫌疑人。老挝当局已于8月6日和10日分批将其中73名泰国籍涉案人员移交泰方。目前案件仍正进一步深挖中。 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

12 Aug 2026, 09:54 UTC9 viewsread 12 August 2026
Photo

柬埔寨移民总局10天内遣返788名非法外籍人员 8月1日至10日期间,柬埔寨当局依法将来自21个国家和地区的788名(女92人)非法外籍人员驱逐出境。 涉案人员包含韩国、中国(含台湾)、泰国、越南等国籍。其中315名中国籍及14名泰国籍电诈涉案人员,已分别通过德崇国际机场、暹粒吴哥国际机场及赞扬国际口岸遣返。其余人员因非法入境、逾期拘留、涉毒等罪行被遣返。 当局强调,柬埔寨绝不容许犯罪分子利用其领土从事非法活动。 ——————————————— 👥斯里兰卡华人互助群 @SLLK01 (https://t.me/SLLK01) 🗣斯里兰卡大事件 @SLLK8 (https://t.me/SLLK8) 🗣斯里兰卡美食二手 @SLLK02(https://t.me/SLLK02) 🔔发布二手消息,投稿爆料,商务 @xiaoke6662(https://t.me/xiaoke6662)

Showing the 12 most recent of 65 posts we hold for @SLLK8. 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 — 716,441 of 1,160,990entries 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“斯里兰卡大事件|斯里兰卡新闻|LK生活咨询攻略(有偿投稿)” (@SLLK8), 7,679 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/SLLK8.

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.