Channel
@sii76
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
199,437subscribers
-4,481 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001467171352 |
|---|---|
| Type | Channel |
| Username | @sii76 |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/sii76 |
National news — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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 |
|---|---|---|
| 26 Oct 2026, 21:16 | 199,437 | -2,866 |
| 26 Oct 2026, 00:39 | 202,303 | -2,267 |
| 25 Oct 2026, 01:08 | 204,570 | +7,059 |
| 23 Oct 2026, 22:16 | 197,511 | -2,340 |
| 23 Oct 2026, 00:57 | 199,851 | -2,294 |
| 22 Oct 2026, 01:57 | 202,145 | +6,165 |
| 20 Oct 2026, 22:29 | 195,980 | -1,908 |
| 20 Oct 2026, 00:01 | 197,888 | -2,128 |
| 18 Oct 2026, 23:48 | 200,016 | -2,836 |
| 17 Oct 2026, 22:14 | 202,852 | +6,919 |
| 16 Oct 2026, 20:45 | 195,933 | -2,978 |
| 15 Oct 2026, 21:29 | 198,911 | -1,885 |
| 14 Oct 2026, 19:11 | 200,796 | +5,475 |
| 13 Oct 2026, 09:41 | 195,321 | -2,179 |
| 9 Oct 2026, 04:00 | 197,500 | -4,950 |
| 4 Oct 2026, 14:14 | 202,450 | +2,075 |
| 26 Sept 2026, 09:57 | 200,375 | +58 |
| 19 Sept 2026, 08:37 | 200,317 | -3,340 |
| 16 Sept 2026, 19:40 | 203,657 | +3,859 |
| 15 Sept 2026, 00:00 | 199,798 | first reading |
1,927 posts held, back to 7 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 164 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 49 of 775 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 1,927 (7 August 2026 – 26 October 2026) |
| Views total | 1,610,886 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 12:50 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.
Measured directly from 326 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.
184 reactions across 112 posts, in 9 distinct kinds. The most used accounts for 23.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 43 | 23.4% | |
| 🎉 | 27 | 14.7% | |
| 🔥 | 22 | 12.0% | |
| ⚡ | 19 | 10.3% | |
| 😁 | 19 | 10.3% | |
| 🤩 | 17 | 9.24% | |
| 👏 | 15 | 8.15% | |
| 🥰 | 15 | 8.15% | |
| ❤ | 7 | 3.80% |
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 128 of the 1,000 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 184 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 September 2026 to 26 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.
❗️【柬埔寨杀猪盘卷走174名美国人3690万！洗钱暗网大曝光】❗️ 美国司法部通报，44岁中国籍男子赵正因涉嫌在柬埔寨设立诈骗中心，已被从荷兰引渡至美受审。该案已确认174名美国受害者，涉案金额超3690万美元（约2.6亿人民币）。 经典“杀猪盘”套路：骗子通过社交软件搭讪，骗取信任后诱导投资虚假加密货币平台。他们搭建高仿假网站，让受害者以为资金升值，实则钱款早已落入骗子口袋。 洗钱路线堪称“教科书级”： 1. 受害者将美元汇入骗子控制的美国账户； 2. 资金转移至巴哈马Deltec Bank单一账户； 3. 美元全部兑换为稳定币USDT； 4. USDT转入柬埔寨数字钱包； 5. 最终分发给当地诈骗园区头目。 这套流程让美元变成难以追踪的虚拟货币，成功洗白出境。 美国司法部助理总检察长杜瓦表示：“这次引渡是对海外剥削者的教训，无论你在世界哪个角落，我们都能找到你。”特勤局官员也警告全球骗子：“无处可藏。”赵正最高面临…
🤩🤩🤩🤩 🤩🤩🤩🤩🤩 0审核|包出款🤩🤩🤩 东南亚大事件联合担保🤩🤩🤩🤩🤩(电子) 🤩亿级域名｜78.COM 🤩官方飞投｜充提自由 🔝实力派：78.COM 数字够短 品牌够大 🔥香港六合彩 · 独家盈利无上限！ 🤩所有的特码🤩🤩倍 🤩连码三中三🤩🤩🤩倍 🤩百家乐全网最高起步返水🤩% 🤩电子|棋牌|捕鱼起步返水🤩.🤩% 🤩十三水|德州自主组队,无抽佣； 🏆电子单注🤩🤩🤩🤩U一拉； ⭐️百家乐真人视讯台红🤩🤩万U； 🚩诚招代理合作(二选一)： 1、打码返佣，限指定平台； 2、占成模式，可自由选择占成比例及游戏平台； 🤩🤩🤩🤩：@DL78 💥高额战绩，巅峰记录持续刷新： 🥇PP电子｜极速糖果1000 玩家游戏中购买30000u超级免费旋转，高倍爆奖，最终拿下378万U，已出款； 🥈PG电子｜麻将胡了 又又又欧气爆棚，5000U一拉，连番触发，单局斩获193万U； 🥉香港六合彩｜特码49倍 爱拼才会赢，大佬单码下注18万U，一注直接…
❗️【孟加拉达卡警方侦破线上投资诈骗案，4名嫌疑人落网（含两名中国籍）】❗️ 10月22日，孟加拉达卡侦探局分别在阿达博、巴顺达拉居民区展开突击抓捕，共抓获4名涉案嫌疑人，包括两名中国籍男子陈龙吉、王小伟，以及两名孟加拉籍嫌疑人Ruhul Amin Biswas、Sheikh Sanjida Mansur Sithi。 经查，该团伙借助WhatsApp联系受害者，打着线上股票、大宗交易高收益的幌子实施投资诈骗，涉案金额约1.1亿塔卡（约合89万美元）。 警方最初向法庭申请对嫌疑人实施7天还押审讯，10月23日，达卡法院经审理后裁定，给予4名嫌疑人3天还押期限，方便警方开展讯问、解锁涉案电子设备、核对银行流水、追踪资金去向，并抓捕其他在逃同伙。 目前，4名嫌疑人已被还押，侦探局将持续推进该案后续侦查工作。
❗️【还在用悟空外卖app的注意了 悟空外卖遭苹果拦截！iPhone提示含恶意软件，警惕“盗U”风险】❗️ 近期，泰国华人生活服务平台“悟空外卖”（GOKOO）在iPhone上触发苹果系统安全警告。用户打开APP时，手机直接弹出“‘悟空外卖’包含恶意软件，不能打开。你应将其从设备删除”的提示，引发外界对用户加密货币资产安全的担忧。 值得警惕的是悟空外卖此前曾被国际网络安全公司卡巴斯基点名涉及专门窃取加密货币钱包助记词的。 SparkCat木马 这类恶意程序的主要目标并非普通账户信息，而是用户存放在手机相册中的钱包恢复信息。一旦助记词泄露，攻击者就可能控制对应钱包，转走其中的USDT等加密资产，也就是币圈常说的“盗U”。
❗️【网友投稿：老家民警有温度的执法】❗️ 10月22号，有一位在金边的老家邻居朋友找到我还钱。他今年8月份在金边因为证件不齐全被警察抓过一次，要罚款，钱不够，找我借了1万人民币。 他找到我还钱，是用银行卡转给我3万，扣除借我的1万，还额外再给我2千所谓的利息。他要我把我的银行卡在23号凌晨的时候给他的朋友。他的朋友戴着帽子、口罩，的确在23号凌晨把我银行卡拿走了，还告诉了他取款密码。 我其实有猜测到这是在用我的银行卡做跑分洗钱之类的事。我还向我在金边的朋友询问了此事的详情，他也没骗我，说是的，但他保证3天左右钱不会出问题，这笔钱不是卖军火、毒、绑架之类的黑钱。我银行卡收到3万后，让我把里面的1万2早点转出来就好。我是急着想拿回他借我的钱，所以就同意配合他去做。 23号早上10点多，我银行卡收了转账来的3万，不到2小时，拿走我银行卡的人取了1万8出来。银行卡里面确实留了1万2给我，还挺遵守信用。 我心里盘算着等24号再…
❗️【严正警告奉劝科伦坡某些披着 BPO 公司外衣、涉嫌从事电信网络诈骗的团伙】❗️ 网友投稿：尤其是从柬埔寨“8号园区”转移过来的相关人员及其背后的“大盘总”：不要以为换个国家、换个公司名称，注册一张港口城牌照，就能继续为所欲为、逃避法律制裁！ 对于任何涉嫌诈骗、绑架、非法拘禁、人口贩运及强迫劳动的行为，我都会持续向斯里兰卡执法部门提交线索，并通过新闻媒体推动调查。无论你们藏在哪里、披着什么合法经营的外衣，只要违法犯罪，就必须依法追责！ 别以为换个地方就能洗白过去。若犯罪事实查实，相关人员就应依法承担刑事责任；符合遣返条件的，将依法处理。你们的背景和伪装，都不应成为逃避法律的保护伞！
❗️【泰缅边境为防止外国人被骗进诈骗园区！在边境处竖起中文警示牌】❗️ 近日，泰国北碧府桑卡拉武里警方在泰缅边境3处重要检查点设置反诈警示牌，使用泰文、中文、日文及越南文四种语言，提醒外国旅客警惕跨境诈骗陷阱。 近期仍有外国人被所谓的“海外高薪工作”诱骗，经泰国中转后非法越境进入缅甸，最终落入诈骗团伙控制的地区，此前，当地执法人员已协助多名被骗外国人脱困，最近还救助了两名分别为20岁和21岁的日本大学生。 警方提醒，凡是遇到高薪招聘、目的地不明、陌生人包办路费或要求交出护照等情况，都应提高警惕，避免被诱骗至边境诈骗园区。
❗️【西港中国城附近的520酒店”进行检查，目前已抓住了几个没护照的人了，附近的兄弟注意了】❗️
❗️【网友投稿：东南亚的这股风，到底什么时候才能停？】❗️ 好久没开单了，钱没赚到，开销却一天没少。房租要交，饭要吃，账单不会因为行情不好就晚几天来。以前觉得出来闯荡，自己这么聪明总能混出个样子，现在才发现，有时候苦吃了不少，钱没见着，人倒是越来越疲惫。 最讽刺的是，行情好的时候，人人都说自己有本事；行情一差，才发现有些人的本事，不过是赶上了一阵风。风来的时候忙着吹牛，风停了才知道自己什么都没留下。 这些年在东南亚，见过太多起起落落。昨天还在酒桌上谈未来，今天就开始四处借钱；有人嘴上喊着兄弟，真到了需要帮忙的时候，连消息都不回。说到底，锦上添花的人从来不缺，雪中送炭的又有几个？ 人生如逆旅，我亦是行人。 这场风吹到最后，才发现最先变的不是行情，而是人心。没钱的时候，连说话都要看人脸色；有钱的时候，身边又全是笑脸。人情这东西，有时候比行情还难预测。 人的心只会越来越硬，不是因为突然看透了什么大道理，而是被现实磨久了，慢慢…
❗️【陈志近10亿美元资产被冻结，观察人士呼吁拍卖赔偿电诈受害者】❗️ 据柬媒10月26日报道，柬埔寨当局已冻结太子集团陈志相关网络近10亿美元资产，包括超过3亿美元银行存款、赌场大楼及大量房地产。 柬埔寨观察人士呼吁政府公开资产清单、拍卖相关财产，并与国际机构合作设立受害者赔偿基金。他们担心，如果缺乏透明监督，这笔巨额资产可能被挪用。
❗️【马来西亚斯里佩塔林预算酒店涉外籍卖淫活动，15人被查】❗️ 10月24日报道马来西亚吉隆坡移民局近日展开 “Ops Gegar”执法行动，突击检查斯里佩塔林及旧巴生路一带的相关场所，发现一间两层预算酒店涉嫌被用作外籍女性卖淫据点。 据报道，该团伙涉嫌通过社交媒体发布女性资料招揽顾客，顾客可直接到店选择服务对象。涉事酒店内设有闭路电视监控及安全门等设施。 此次行动共检查15人，其中 13名外籍女子及1名本地男子被拘留协助调查。被拘留的外籍女子包括6名中国籍、3名印尼籍、2名泰国籍及2名越南籍人员。 行动由吉隆坡移民局执法部门实施，所有被拘留人员仍处于调查阶段，尚未被法院定罪。
❗️【2名中国绑匪被移送法办】❗️ 今天，金边警方将2名涉嫌非法拘禁、非法持有武器、绑架勒索、吸毒的中国籍男子押送法院，接受法办。 这2人是10月22日在金边“浙江客栈”被抓的，应该属于看守人员，其他同伙目前在逃，警方正在继续追捕。 警方至今没有公开披露受害人身份及目前情况。
Showing the 12 most recent of 1,927 posts we hold for @sii76. 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.
Named by 2 registered channels — 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 83 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨新闻《柬埔寨曝光》” (@sii76), 199,437 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/sii76.
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.