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Channel

斯里兰卡大事件

@sililanka188

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

22,192subscribers

-537 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001273347919
TypeChannel
Username@sililanka188
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 📰 斯里兰卡大事件-聚焦东南亚 🔍 专注于东南亚华人最新动态资讯 🌍 实时更新,带您了解最新资讯动态 📢 精选独家报道,深度解析事件背后 📈 顶级的流量效应,精准覆盖目标观众 📩 投稿与合作:请联系 @dashijian18bot
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/sililanka188

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@djs123/286507 Aug 2026, 12:41 UTC@sililanka188/31946 · this entry7 Aug 2026, 12:42 UTC1.00under a minute
@djs123/286617 Aug 2026, 14:17 UTC@sililanka188/31957 · this entry7 Aug 2026, 14:17 UTC1.00under a minute
@djs123/286637 Aug 2026, 15:14 UTC@sililanka188/31959 · this entry7 Aug 2026, 15:14 UTC1.00under a minute
@djs123/286677 Aug 2026, 16:25 UTC@sililanka188/31968 · this entry7 Aug 2026, 16:26 UTC1.00under a minute
@djs123/286717 Aug 2026, 16:47 UTC@sililanka188/31974 · this entry7 Aug 2026, 16:47 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@djs1235 (5/5 hand-verifiable sample passed)1.00under a minute@djs123 (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 7 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @djs123. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

22,19222,72922,460.57 August 2026 — 22,729 subscribers8 August 2026 — 22,722 subscribers9 August 2026 — 22,596 subscribers10 August 2026 — 22,334 subscribers11 August 2026 — 22,232 subscribers12 August 2026 — 22,192 subscribers7 August 202612 August 2026
6 measurements spanning 5 days, net -537. 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 22,111–22,810 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 09:5322,192-40
11 Aug 2026, 09:2322,232-102
10 Aug 2026, 07:3722,334-262
9 Aug 2026, 05:0222,596-126
8 Aug 2026, 02:2822,722-7
7 Aug 2026, 19:1622,729first reading

Engagement

126 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.84%
avg views ÷ 22,192 subscribers
Avg views / post
408
126 posts measured
Reaction rate
20.0%
reactions ÷ views · ER floor
Posts in window
126
of 126 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. It is computed over the 1 of 126 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held126 (7 August 202612 August 2026)
Views total51,371
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:02 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
25,200
Videos
6,020
Links
11,600

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
43m 47s
Average length
48s

Measured directly from 55 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉1100.0%

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 1 of the 126 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 126 most recent posts we hold, published 7 August 2026 to 12 August 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.

Recent posts

12 Aug 2026, 16:12 UTC913 viewsread 12 August 2026
Photo

🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道,马来西亚耗资千亿美元打造的柔佛州“森林城市”(Forest City)因仅有一半不到的计划人口入住,原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性,吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获逾1500部手机及300余台电脑等作案工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作,显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡~~强者从不抱怨环境 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 16:02 UTC996 viewsread 12 August 2026
Video

#群友投稿:郑重推出《东南亚系列主题歌》 第一首作品——《东南亚爱情故事》上线!这些年,我们漂泊在东南亚的土地上,有过梦想、有过热血,也经历过迷茫、孤独和离别。 金边、西港、波贝、曼谷……那些走过的城市,遇见的人,经历的故事,都将成为这组系列歌曲里的记忆。 后续歌曲也会陆续推出,希望用音乐记录这段特殊的岁月,把属于我们的青春、漂泊与感悟留下来。如果你有好的故事、好的题材、好的想法,欢迎联系我,让我们一起把这个“东南亚系列主题歌”做好。 不管未来走向哪里,也不枉这些年在异国他乡经历过的风雨。铁子们,多多支持!这个系列,靠大家一起见证! 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 15:55 UTC≈1,380 viewsread 12 August 2026
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#群友反馈:老挝万象雅典饭店行动结束了,抓了不少人,目前开始装车带走了, PS:最近老挝抓人跟下饺子似的,一窝接着一窝。 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 15:41 UTC5 viewsread 12 August 2026
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#群友投稿:缅甸政府军已经开始准备围剿三佛塔了。 今天早上,我在房间里面听到了四声很明显的炮弹声音,虽然还有点距离,但是声音很响,根据其他地方的朋友讲,外围地区偶尔会有枪声传出来,现在三佛塔的园区人员都开始人心惶惶,园区老板也都不在园区里面了,公司该解散的解散,像我们这种还有安全的去路吗,整个东南亚还有净土吗😭 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 15:26 UTC6 viewsread 12 August 2026
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#群友投稿:湖南新化老家四个人8.9日落地曼谷,前往清迈的车上失联。 经打听首先被绑架到妙瓦底DKBA总部足球场附近的军营,车牌号:3929 6699 3939 三辆车,然后8.12日转移到将军山669园区,被打的惨不忍睹,最近绑架事件的陈泽朋友女网红也是这个园区和军营接收,罪大恶极,曝光蛇头叫阿虎,军营负责人:大白 目前军营里仍然关押大量未成年学生,退伍军人,年轻女孩,用于敲诈赔付,请求大使馆,相关部门严查! 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 15:05 UTC≈1,520 viewsread 12 August 2026
Video

#付费广告 【2028体育】TG全网最大信誉台|玩家首选 东南亚顶级线上娱乐 ⚡️⚡️⚡️⚡️⚡️ 🌈🌈🌈🌈🌈 2028727.com #东南亚盘总首选最权威综合台 集团耗资2亿美金 打造全网最牛逼的线上娱乐平台。⚡️⚡️ ⚡️⚡️ #大户首选 支持任意平台vip等级平移,平台支持 USDT 👌 微信 👌 支付宝 K豆等100多种钱包,首复存均送每日存每日送。 😀😀😀😀😀😀😀😀😀 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 😫 泰国老板在PP麻将恭喜发财100赢250万 😫 泰国盘总PP高爆奖星光公主豪炸532万 😫 西港极速糖果万倍高爆奖提款 858万 😫 缅甸大哥PG电子麻将1单笔提款2000万 【#2028体育丨全网福利天花板】 新客户首存500 彩金88 新客户首存1000 彩金188 新客户首存3000 彩金588 新客户首存5000 彩金888 新客户首存1万 彩金1888 😀😀😀😀😀😀😀😀

12 Aug 2026, 15:01 UTC≈1,180 viewsread 12 August 2026
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#群友投稿:在东南亚混久了,人都废了。不是赚钱的问题,是脑子出了问题。 以前在国内,花100块都得掂量掂量。到了这边,100美金刷出去,眼睛都不眨。不是因为你赚得多了,是因为你把美金当冥币花了——数字小,没感觉,花完拉倒。月底一看账单:“卧槽,这钱是我花的?”不是你是谁?鬼帮你花的? 你以为你在过好日子,其实你在给东南亚打工。会所、酒吧、请客吃饭,样样不落。回国一看银行卡——余额还没你脸皮厚。 兄弟,你在国内省吃俭用,攒三万块能活半年。你在那边大手大脚,三万美金只够买几个月的“面子”。面子有了,钱没了,人老了,啥也没剩下。 更蠢的是啥?是你觉得这种生活正常。没存款正常,月底吃土正常,借钱发工资也正常。你管这叫“活在当下”,其实就是被这边的节奏带沟里了。 一句话:你是来赚钱的,不是来过瘾的。钱是挣来的,也是守住的。守不住,赚再多都是过路财神。别等到回国那天,才发现——你在国外潇洒了几年,实际上是在给别人的好日子买单。

12 Aug 2026, 14:48 UTC4 viewsread 12 August 2026
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#群友投稿:特区没有爱 老挝没有雪 今年3月份,初次踏入特区,泰北气候,赵伟的管辖范围,一切都很人性化,灰产界的一股清流,相对友好的物价,不能禁足的公司规矩、很自由,最香的当然是老挝妹。 于是在大门口等外卖的时候遇到了阿芳,168的身高,长得不算特别精致,前凸后翘全部原装,最重要是好相处的性格(前提是你得长得跟我一样帅)于是非常简单直接的加了ws,当时给我安排的是单间配置,所以约出来吃了顿烧烤喝了点酒就确认了男女朋友关系,非常的甜蜜,跟女朋友做爱的感觉是跟大家会所嫩模完全不一样的,懂的都懂,又紧又香又白又嫩……后来因为必须得回国安排些家事再出来,于是我回去了两个星期左右。 回来时很开心小别胜新欢,有时间的时候都会在一起,忽然有一天,她跟我说她怀孕了,我又惊喜又意外,这里配上图,于是我性格比较的佛系,可能也是非常喜欢小孩,于是建议她生下来,她就直接决绝掉了,再三逼问下,弄清楚了,tm老子被绿了!!! 老挝妹玩玩就好了,兄弟

12 Aug 2026, 14:37 UTC599 viewsread 12 August 2026
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#网友反馈:8月12日开始,金三角特区内针对受举报的公寓进行检查 老挝治安局,老挝公安,中国便衣,12日12点抽查桐琴水岸,金水湾,梅陇湾,凤凰城,携带人脸扫描机器,检查住是否存在办公设备,三证是否齐全,以上四处收到举报较多,为重点检查目标,疑有上榜名单,包括万国公寓,唐人国际,山上酒店,大黄楼均在检查范围 检查截止到本月17号,部分物业已经通知也进行内部检查了,特内打野的都注意安全,这次行动力度不小。 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 14:26 UTC≈1,520 viewsread 12 August 2026
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#老挝万象雅典饭店被突袭 这次里面的推推在劫难逃了,直接全部围起来了。 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 14:01 UTC847 viewsread 12 August 2026
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#突发事件:老挝万象雅典公寓被围了,直接来了2卡车宪兵队。 这波最少要抓几十个狗推~~ 关注大事件频道🙂@djs123 投稿: @vk999

12 Aug 2026, 13:49 UTC5 viewsread 12 August 2026
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#补充视频:不少狗推从大楼里面跑出来,还有狗推又开始飞檐走壁了,路口也有警察怎么跑🤣 关注大事件频道🙂@djs123 投稿: @vk999

Showing the 12 most recent of 126 posts we hold for @sililanka188. 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.

Mentions

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

“斯里兰卡大事件” (@sililanka188), 22,192 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sililanka188.

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.