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Channel
安危头条新闻 🅥
@syxw6
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
95,824subscribers
-9,431 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002167562639 |
|---|---|
| Type | Channel |
| Username | @syxw6 |
| Description | ◘安危头条大事件 - 【视野新闻】 “视野新闻” 是一扇洞察热点新闻窗口,致力于为在外华人带来丰富、多元且具有深度的新闻资讯。 “视野新闻” 不仅是新闻的传递者,更是思考的引领者。 都将以广阔的视野、精彩的内容和优质的服务,成为你获取信息、开拓视野的最佳伙伴。 视野发布员 - 胖胖 : @syxw01 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/syxw6 |
Topic
Gambling & betting — 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 62% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 08:56 | 95,824 | +2,100 |
| 16 Sept 2026, 05:58 | 93,724 | -1,690 |
| 14 Sept 2026, 14:20 | 95,414 | +3,883 |
| 13 Sept 2026, 02:38 | 91,531 | -1,956 |
| 11 Sept 2026, 04:18 | 93,487 | +1,456 |
| 8 Sept 2026, 08:19 | 92,031 | +5,752 |
| 5 Sept 2026, 04:16 | 86,279 | -1,809 |
| 3 Sept 2026, 10:56 | 88,088 | -1,200 |
| 2 Sept 2026, 07:23 | 89,288 | -1,149 |
| 1 Sept 2026, 04:17 | 90,437 | -1,063 |
| 31 Aug 2026, 07:09 | 91,500 | -1,122 |
| 30 Aug 2026, 10:13 | 92,622 | -1,854 |
| 29 Aug 2026, 07:05 | 94,476 | -2,382 |
| 28 Aug 2026, 09:49 | 96,858 | -3,587 |
| 27 Aug 2026, 09:07 | 100,445 | +7,148 |
| 26 Aug 2026, 09:07 | 93,297 | -2,264 |
| 25 Aug 2026, 08:23 | 95,561 | -811 |
| 24 Aug 2026, 05:26 | 96,372 | -141 |
| 22 Aug 2026, 09:48 | 96,513 | -2,815 |
| 21 Aug 2026, 00:03 | 99,328 | first reading |
Engagement
1,054 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 106 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.852%
- avg views ÷ 95,824 subscribers
- Avg views / post
- 817
- 590 posts measured
- Reaction rate
- 3.64%
- reactions ÷ views · ER floor
- Posts in window
- 592
- of 1,054 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 379 of 590 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 1,054 (7 August 2026 – 27 September 2026) |
| Views total | 481,901 |
| Reactions total | 8,658 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 11:38 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
- ≈42,300
- Videos
- ≈8,610
- Links
- ≈15,200
Lifetime counters from Telegram’s own channel header, read 27 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.
- Video runtime
- 2h 31m
- Average length
- 28s
Measured directly from 325 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
8,658 reactions across 379 posts, in 10 distinct kinds. The most used accounts for 13.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,142 | 13.2% | |
| 😢 | 1,122 | 13.0% | |
| 👏 | 1,104 | 12.8% | |
| 😁 | 1,097 | 12.7% | |
| 🤩 | 1,085 | 12.5% | |
| 🎉 | 1,052 | 12.2% | |
| 👍 | 1,031 | 11.9% | |
| 🔥 | 1,019 | 11.8% | |
| ⚡ | 4 | 0.046% | |
| 🥰 | 2 | 0.023% |
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 379 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 8,658 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 9 August 2026 to 27 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.
Recent posts
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粤澳警方侦破跨境卖淫集团,利用通讯群组招揽人员,77人被捕 9月24日,澳门司法警察局联合广东警方展开行动,侦破一个涉嫌利用通讯群组经营跨境操纵卖淫活动的犯罪集团,两地共拘捕77人,初步涉及金额至少530万港元。 警方调查发现,该集团至少从今年3月开始运作,主要在澳门路氹一带酒店物色嫖客,并通过通讯群组招揽卖淫女子及相关人员加入。 据警方通报,一名39岁内地女子涉嫌为集团主要成员之一,负责创建及管理通讯群组,并在内地招揽有意到澳门从事卖淫活动的女子。相关群组成员一度超过300人,加入人员每7天需缴纳200元人民币“入群费”。 集团成员还通过通讯群组进行“派单”,安排卖淫女子前往酒店与嫖客交易,并要求成员定期删除聊天记录,以逃避警方调查。 行动期间,澳门警方拘捕16名涉嫌集团成员,并在酒店带走11名涉嫌卖淫女子及4名嫖客;广东警方则在广州、珠海、中山、佛山、深圳等地拘捕相关人员。 目前两地警方共拘捕77人,案件仍在进一…
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🇹🇭泰国曼谷机场,9月26日被洪水淹没。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推
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#网友吐槽:嫖娼不给钱,还偷拍,曝光下这个叼毛。你在亚太这么小的圈子玩消失,你觉得好不好笑? 昨晚大半夜来嫖娼,偷拍妹子视频不删除,钱也不给。联系他好好沟通,见面删除视频把嫖娼的钱给了本来也就算了,结果直接已读不回消失。 见过头铁的,没见过你这么头铁的,那就给大家好好看看你这幅嘴脸。你最好找我解决问题,抓到你那就有你好受的了,你怎么操妹子的,我让人怎么操你。 PS:好一招空手套白狼🤣 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推
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#网友爆料:缅甸掸邦北部“木姐”大桥关卡过去,半砍街子右拐,岔去以前的旧金山赌场酒店,里面有大量中国人在做中国盘诈骗。 里面有200个中国人,400个缅华,中国人都是枪手,缅华是去做拉手的,项目是跑粉,在微信、抖音、快手、白条、头条去关注国内的老年人实施诈骗。 里面中国人很嚣张、无法无天,欠工资,诱骗木姐缅华去诈骗国内人,干了一个多月不发给工资也不让走。 位置是以前的旧金山和老宾馆,里面是傣族武装北掸邦军(SSPP-SSA-N)武装,实行诈骗的位置也是北掸邦军(SSPP-SSA-N)在木姐半砍的总部。 里面傣族很喜欢这帮诈骗犯,因为他们地区的经济提高了很多。 希望木姐和瑞丽的防诈中心尽快实施行动把他们都端了! 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高…
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#网友投稿:最近看到不少人在讨论:持港澳通行证进入香港后,再拿护照乘飞机前往第三国,会不会被限制出境? 其实很多争议,是把航空公司查验证件和香港出境检查混在了一起。 如果是持港澳通行证合法进入香港,之后从香港机场乘国际航班前往第三国,办理值机、登机及相关手续时,航空公司通常会根据目的地要求查验护照、签证及机票; 而办理香港出境手续时,则应使用与入境记录相对应的旅行证件,也就是入境香港时使用的港澳通行证。 简单来说就是:通行证负责香港的入境、出境记录;护照主要用于国际航班及目的地入境手续。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖
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#网友反馈:波哥山华人酒店前后都是警察 ,有在附近多注意一下。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推
❤5🔥4🤩4😢4👏3🎉2👍2😁2
Showing the 12 most recent of 1,054 posts we hold for @syxw6. 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
Named by 52 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@dnyzx1234 · 31,525158 posts◉柬埔寨新闻
@syxw4 · 47,328122 posts菲律宾大事件
@dnyzw188 · 55,48191 posts◉迪拜新闻曝光
@syxw3 · 57,16370 posts亚太新闻|Yataixinwen
@baoliaofj · 32,49067 posts柬埔寨大事件曝光『西港黑料』
@ukevjiv6 · 32,37966 posts迪拜新闻🇦🇪
@dnyzx190 · 47,90763 posts🅥菲律宾新闻
@syxw2 · 56,13762 posts东南亚新闻网
@xinwenzix · 54,18361 posts内涵吃瓜-吃瓜Top
@hdjunf · 47,15258 posts骗子曝光
@dnyzx191 · 50,88655 posts泰国缅甸迪拜华人曝光
@facail16888889 · 38,87655 posts东南亚华人吃瓜猎奇柬埔寨
@dnyzx1213 · 28,21053 posts找工作上菲龙网求职招聘|提供高薪职位
@flwph33 · 65,35453 posts91吃瓜反差新闻
@fcxho · 43,42051 posts东南亚求职招聘网
@YTT7891 · 22,43850 posts缅北大事件曝光
@facaiqq686868 · 24,28149 posts东南亚国外新闻
@zdny66 · 96,31847 posts🅥亚太新闻曝光
@syxw7 · 46,97045 posts🅥菲律宾曝光
@syxw1 · 53,06741 posts东南亚大事件曝光
@dnyxw191 · 32,18240 posts东南亚华人曝光
@xw_339 · 28,97240 posts泰国新闻
@dnyzx192 · 52,16238 posts◉东南亚中文新闻
@syxw5 · 56,33038 posts
Names
Channels on the register whose handles appear in this channel's posts.
@flwph66 · 168,355902 posts缅甸缅北东南亚新闻曝光
@anweitt · 15,81633 posts亚太新闻|Yataixinwen
@baoliaofj · 32,49033 posts网红 ❤️主播 ❤️剧情 精选
@cosfeng3 · 18,74633 posts日本 av 种子 番号 无码
@cosfeng4 · 3,65733 posts探花系列|国产偷拍
@cosfeng5 · 11,62233 postsⓂ️麻豆国产影视
@cosfeng6 · 9,82433 posts西港日记📔柬埔寨新闻中心
@dnypgg · 50,06933 posts大事件新闻爆料
@dnyxw192 · 24,78233 posts全网吃瓜爆料|网红黑料
@dnyzx1234 · 31,52533 posts亚太缅甸新闻
@dnyzx88 · 56,42533 posts缅甸缅北东南亚新闻曝光
@facai16161616 · 30,44333 posts缅北大事件曝光
@facaiqq686868 · 24,28133 posts91吃瓜反差新闻
@fcxho · 43,42033 posts泰国-马来西亚-新闻曝光
@hongyunlin1 · 38,45233 posts精品内涵段子视频
@neihanduanziq · 31,72533 posts🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 50,33333 posts🅥菲律宾曝光
@syxw1 · 53,06733 posts🅥菲律宾新闻
@syxw2 · 56,13733 posts◉迪拜新闻曝光
@syxw3 · 57,16333 posts◉柬埔寨新闻
@syxw4 · 47,32833 posts◉东南亚中文新闻
@syxw5 · 56,33033 posts🅥亚太新闻曝光
@syxw7 · 46,97033 posts柬埔寨新闻《柬埔寨曝光》
@xinwenbg3 · 41,90533 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“安危头条新闻 🅥” (@syxw6), 95,824 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/syxw6.
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.