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Channel

斯里兰卡大事件

@LKdashijian

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

18,758subscribers

-121 since we began measuring on 30 August 2026

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

Register entry

Telegram ID-1001576589713
TypeChannel
Username@LKdashijian
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded30 August 2026
Last confirmed live24 October 2026
Measurements held28
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/LKdashijian

Topic

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 15 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 why it has no browse page of its own yet.

Growth

16,21126,02721,11930 August 2026 — 18,879 subscribers30 August 2026 — 18,879 subscribers30 August 2026 — 18,870 subscribers1 September 2026 — 17,954 subscribers2 September 2026 — 16,865 subscribers3 September 2026 — 16,560 subscribers5 September 2026 — 16,474 subscribers8 September 2026 — 16,391 subscribers11 September 2026 — 16,335 subscribers13 September 2026 — 16,245 subscribers14 September 2026 — 16,211 subscribers16 September 2026 — 21,119 subscribers19 September 2026 — 26,027 subscribers26 September 2026 — 25,489 subscribers4 October 2026 — 22,284 subscribers9 October 2026 — 21,431 subscribers13 October 2026 — 20,927 subscribers14 October 2026 — 20,775 subscribers15 October 2026 — 20,481 subscribers16 October 2026 — 20,415 subscribers17 October 2026 — 20,232 subscribers18 October 2026 — 20,144 subscribers19 October 2026 — 19,993 subscribers20 October 2026 — 19,765 subscribers21 October 2026 — 19,635 subscribers22 October 2026 — 19,114 subscribers23 October 2026 — 18,904 subscribers24 October 2026 — 18,758 subscribers18,75830 August 202624 October 2026
28 measurements spanning 55 days, net -121. 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 14,739–27,499 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
24 Oct 2026, 20:5618,758-146
23 Oct 2026, 23:5518,904-210
22 Oct 2026, 23:5119,114-521
21 Oct 2026, 18:4719,635-130
20 Oct 2026, 14:4919,765-228
19 Oct 2026, 16:1819,993-151
18 Oct 2026, 14:4920,144-88
17 Oct 2026, 14:0720,232-183
16 Oct 2026, 14:5620,415-66
15 Oct 2026, 16:0820,481-294
14 Oct 2026, 18:5720,775-152
13 Oct 2026, 08:4720,927-504
9 Oct 2026, 04:1921,431-853
4 Oct 2026, 15:5722,284-3,205
26 Sept 2026, 10:3825,489-538
19 Sept 2026, 11:1526,027+4,908
16 Sept 2026, 21:0021,119+4,908
14 Sept 2026, 22:1716,211-34
13 Sept 2026, 09:2216,245-90
11 Sept 2026, 09:1816,335first reading

Engagement

305 posts held, back to 30 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 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.88%
avg views ÷ 18,758 subscribers
Avg views / post
540
203 posts measured
Reaction rate
0.173%
reactions ÷ views · ER floor
Posts in window
222
of 305 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 9 of 203 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 October 2026
Posts held305 (30 August 2026 – 12 October 2026)
Views total109,530
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 17:20 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
1h 28m
Average length
58s

Measured directly from 92 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

36 reactions across 26 posts, in 9 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤925.0%
⚡719.4%
😁616.7%
🎉411.1%
👏38.33%
🥰38.33%
🤩25.56%
👍12.78%
🔥12.78%

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 27 of the 305 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 305 most recent posts we hold, published 30 August 2026 to 12 October 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 Oct 2026, 16:00 UTC9 viewsread 12 October 2026
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12 Oct 2026, 14:03 UTC≈1,270 viewsread 12 October 2026
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#网友投稿 菲律宾马尼拉的四大赌场我每个月都会去转几趟,也没有看见很多中国人了 对于九到十月份整个菲律宾扫了大几波非法博彩电诈抓了大把越南马来中国人的新闻也看到了,正因为是看到了看多了这些抓人的新闻,导致还黑在马尼拉的我们停下了手头上的黑产工作打算找远程居家办公的班上着。 我们是做移动基站群发诈骗手机短信的那种,这个行业在很多国家只能说是灰产但在菲律宾它就是黑产,因为一年多前我的两个老乡做这个被抓菲律宾法院以别国间谍罪的名义判了他们无期徒刑,至今都还关在菲律宾的比古丹监狱里面狗活着。 这明显是灰产诈骗相关类的罪行它非要按个别国间谍罪,找了多家中介和菲律宾人总计花费超一千万披索去救人没半点卵用,这就是菲律宾政府臭名昭著绝逼的做事风格。至于我们还在冒着判无期的风险做这行无非是每天都有可观的收益。 虽然现在没有两三年前 人均每天两千U以上的那种收益但小一半还是有。至于为什么又突然停了那不是被吓的怕被抓,菲律宾政府真真切切是在近…

12 Oct 2026, 13:32 UTC734 viewsread 12 October 2026
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上海男子同时交往2个富婆骗取1700万(我也想交2个富婆) 上海这名男子在夜场谋生,游走在两位年近半百的富婆之间。平日里巧舌如簧,编织各种说辞博取对方的好感与信任,两头周旋,不动声色。 一来二去,两名富婆被他打动,陆续拿出钱财,前后合计1700万。只是这笔巨款并没有用来创业翻身,全都被他拿去偿还堆积如山的赌债。 等到事情败露,案件送上法庭。其中一位富婆念着曾经的情分,心软出具谅解书,希望能给他减轻惩罚。奈何涉案金额过于巨大,谅解书也没能改变最终结果,男子被判处12年有期徒刑。 无数普通人日复一日埋头打拼,起早贪黑,省吃俭用,一辈子都很难攒到千万级别资产。他不用风吹日晒,不用辛苦做生意,靠着陪伴和话术,就能拿到旁人遥不可及的财富。 ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂…

12 Oct 2026, 13:03 UTC16 viewsread 12 October 2026
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#网友投稿 #方绪云 #欠钱不还 骗子走到哪里还是骗子 此人叫啊云,真名(方绪云)2023年在金三角特区搞诈骗,国内和外盘都有做,克扣员工工资用于到处赌博和挥霍。出于朋友关系我借他70万人民币说周转一下就还给我。说就最多周转两个月,过了5个月就还了我28万,期间有时候打电话也不接,一直在逃避。后面被我找到了,一直哭穷,打了一张欠条给我。之后他就离开特区辗转缅东妙瓦底.柬埔寨到处骗员工到公司,向公司借钱继续挥霍,不管员工死活。 ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ➖➖➖➖➖➖➖➖➖➖➖ 🛎 订阅斯里兰卡大事件频道 ↓ 💻 t.me/+h9HyLCRdJnI5MTI1 💟投稿澄清爆料: @gx258

12 Oct 2026, 12:32 UTC≈1,080 viewsread 12 October 2026
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#网友投稿 菲律宾马尼拉的四大赌场我每个月都会去转几趟,也没有看见很多中国人了 对于九到十月份整个菲律宾扫了大几波非法博彩电诈抓了大把越南马来中国人的新闻也看到了,正因为是看到了看多了这些抓人的新闻,导致还黑在马尼拉的我们停下了手头上的黑产工作打算找远程居家办公的班上着。 我们是做移动基站群发诈骗手机短信的那种,这个行业在很多国家只能说是灰产但在菲律宾它就是黑产,因为一年多前我的两个老乡做这个被抓菲律宾法院以别国间谍罪的名义判了他们无期徒刑,至今都还关在菲律宾的比古丹监狱里面狗活着。 这明显是灰产诈骗相关类的罪行它非要按个别国间谍罪,找了多家中介和菲律宾人总计花费超一千万披索去救人没半点卵用,这就是菲律宾政府臭名昭著绝逼的做事风格。至于我们还在冒着判无期的风险做这行无非是每天都有可观的收益。 虽然现在没有两三年前 人均每天两千U以上的那种收益但小一半还是有。至于为什么又突然停了那不是被吓的怕被抓,菲律宾政府真真切切是在近…

12 Oct 2026, 12:03 UTC≈1,190 viewsread 12 October 2026
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#日本新闻:大阪37岁中国籍女子涉嫌参与假警察诈骗,涉案约7500万日元 10月9日报道,日本大阪府警方近日逮捕并移送检方一名37岁中国籍女子黄翠(音译),怀疑其参与冒充警察实施的特殊诈骗案件,涉嫌在5起案件中回收合计约7500万日元的诈骗所得。 据日本媒体报道,该女子在诈骗团伙中负责回收赃款。团伙成员冒充警察,向受害者谎称其银行账户涉嫌犯罪,诱骗受害者交出现金。随后,另一名涉案人员将现金放置在餐厅或大楼的独立卫生间内,再由黄翠按照团伙指示取走,并转交给上游人员。 警方调查发现,一名38岁台湾籍男子也涉嫌参与该诈骗团伙,负责直接向受害者收取现金。警方目前已查明12起相关案件,累计涉案金额约2亿日元,其中黄翠涉嫌参与的5起案件涉及约7500万日元。 其中一起案件发生于今年1月,两人涉嫌合谋冒充警察,诈骗奈良县一名70多岁女性,骗取现金2000万日元。 目前,案件仍在进一步调查中。警方尚未公开两名嫌疑人的具体认罪情况。 ➖➖…

12 Oct 2026, 11:35 UTC834 viewsread 12 October 2026
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#老挝突发:金三角特内的新景一栋刚刚被本地警察查了,已经有4个倒霉蛋被拷上了,现在还在抓,在里面的狗推自求多福吧 ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ➖➖➖➖➖➖➖➖➖➖➖ 🛎 订阅斯里兰卡大事件频道 ↓ 💻 t.me/+h9HyLCRdJnI5MTI1 💟投稿澄清爆料: @gx258

12 Oct 2026, 11:03 UTC18 viewsread 12 October 2026
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#网友投稿:缅甸亚太刚刚又又炸楼了吗,我睡的正香,给我吓醒了,连隔壁的车都被震得哇哇叫,警报声响个不停,还以为是打仗了。 ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ➖➖➖➖➖➖➖➖➖➖➖ 🛎 订阅斯里兰卡大事件频道 ↓ 💻 t.me/+h9HyLCRdJnI5MTI1 💟投稿澄清爆料: @gx258

12 Oct 2026, 10:32 UTC≈1,110 viewsread 12 October 2026
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昨天好几个人问,说在网上看到一个视频,雄哥即将被遣返回柬埔寨审判。原因是涉及汇旺用户维权问题,不知道是不是真的 这种消息应该就是🫥 汇旺维权人士的一厢情愿 没有一定奇特的脑回路 是万万想不到还有这样的骚操作 国家好不容易把雄哥弄回去 然后又给柬埔寨送回来? 另外,雄哥的柬埔寨国籍都给剥夺了 他就是中国人,不是柬埔寨人 和柬埔寨没啥关系了~~ ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ➖➖➖➖➖➖➖➖➖➖➖ 🛎 订阅斯里兰卡大事件频道 ↓ 💻 t.me/+h9HyLCRdJnI5MTI1 💟投稿澄清爆料: @gx258

12 Oct 2026, 10:03 UTC791 viewsread 12 October 2026
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#缅甸新闻:美国助理国务卿访缅:提出五大关键诉求 据缅媒10月10日报道,美国助理国务卿迈克尔·万斯(Michael Vance)于 9月15日至16日 访问缅甸,并与缅甸总统敏昂莱举行了会晤期间,美方针对当前缅甸局势提出了多项严正要求 1、展开对话:要求与民族团结政府(NUG)进行会晤与接触 2、打击电诈:全力清剿网络诈骗团伙(“猪杀盘”/电信诈骗园区)。 3、减少暴力:切实降低国内武装冲突与暴力行为 4、接触民地武:加强与各大民族地方武装组织(EAOs)的政治接触 5、释放政治犯:要求释放所有政治犯 ➖➖➖➖➖➖➖➖➖➖ #付费广告 😀😀😀😀😀😀😀【无ip限制】MK小飞机投注链接:点击直接跳转😍😍😍😍😍😍 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ➖➖➖➖➖➖➖➖➖➖➖ 🛎 订阅斯里兰卡大事件频道 ↓ 💻 t.me/+h9HyLCRdJnI5MTI1

12 Oct 2026, 09:34 UTC17 viewsread 12 October 2026
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Showing the 12 most recent of 305 posts we hold for @LKdashijian. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“斯里兰卡大事件” (@LKdashijian), 18,758 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/LKdashijian.

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.