Channel
@jinsanjiao_xinwen
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
79,771subscribers
-7,177 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001665348819 |
|---|---|
| Type | Channel |
| Username | @jinsanjiao_xinwen |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/jinsanjiao_xinwen |
Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 Sept 2026, 14:21 | 79,771 | -639 |
| 19 Sept 2026, 16:36 | 80,410 | -213 |
| 17 Sept 2026, 03:02 | 80,623 | -129 |
| 15 Sept 2026, 05:18 | 80,752 | -98 |
| 13 Sept 2026, 13:57 | 80,850 | -209 |
| 11 Sept 2026, 18:15 | 81,059 | -797 |
| 9 Sept 2026, 07:42 | 81,856 | -392 |
| 5 Sept 2026, 23:56 | 82,248 | -267 |
| 3 Sept 2026, 22:42 | 82,515 | -133 |
| 2 Sept 2026, 15:35 | 82,648 | -165 |
| 1 Sept 2026, 16:56 | 82,813 | -124 |
| 31 Aug 2026, 15:35 | 82,937 | -124 |
| 30 Aug 2026, 12:54 | 83,061 | -146 |
| 29 Aug 2026, 09:43 | 83,207 | -112 |
| 28 Aug 2026, 08:13 | 83,319 | -87 |
| 27 Aug 2026, 04:56 | 83,406 | -110 |
| 26 Aug 2026, 03:11 | 83,516 | -134 |
| 25 Aug 2026, 05:27 | 83,650 | -177 |
| 24 Aug 2026, 03:14 | 83,827 | -363 |
| 22 Aug 2026, 08:34 | 84,190 | first reading |
1,190 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 103 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 16 of 569 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 1,190 (7 August 2026 – 26 September 2026) |
| Views total | 1,442,273 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 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 231 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.
1,046 reactions across 91 posts, in 13 distinct kinds. The most used accounts for 12.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 135 | 12.9% | |
| 💯 | 124 | 11.9% | |
| ❤🔥 | 121 | 11.6% | |
| 😍 | 116 | 11.1% | |
| ❤ | 115 | 11.0% | |
| 🔥 | 113 | 10.8% | |
| 🤩 | 109 | 10.4% | |
| 🥰 | 104 | 9.94% | |
| 👍 | 97 | 9.27% | |
| 👏 | 4 | 0.382% | |
| ⚡ | 3 | 0.287% | |
| 👀 | 3 | 0.287% | |
| 😁 | 2 | 0.191% |
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 92 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 1,046 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 15 August 2026 to 26 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.
#泰国资讯：泰国防灾部门警告9月26至27日强降雨 2026年9月26日，泰国防减灾厅厅长透露，泰国北部下游、中部和东部部分地区仍有洪灾，加上气象厅预警9月25至27日将出现强降雨至特强降雨，高风险地区可能发生突发洪水及山洪。 防减灾厅已要求各省及各区中心密切监测水情，提前向民众发布预警，并重点关注低洼及河道沿岸社区。 下游地区须密切关注上游来水，通知民众将物品移至高处，并加固防洪设施。各地已备好船只及机械设备，全天候为民众提供救援。
如果无法落叶归根，那就落地生根。 来到东南亚的游子，有几个是真的因为这里有多好才留下？为了钱，为了生活，为了躲开国内的压力，只是走着走着，就走了很远。 人在异乡，没人问你从哪里来，只看你有没有本事把日子过下去。这些年，见过太多人来了又走。 有人赚到了钱，风风光光回国；也有人赔光积蓄，带着一身疲惫离开。 还有一些人，手机换了又换，城市换了又换，唯独生活，始终没有换成自己想要的样子。但人活一世，总得给自己一个交代。 落叶归根是故乡，落地生根也是人生。 既然暂时回不去，那就把眼前的日子过好；没有靠山，就自己撑起一片天；没有人替你遮风挡雨，就学会自己扛。 诸位漂泊在东南亚的游子，愿你熬过那些没人知道的苦，也愿你经历的每一次委屈，都不会白受。 人在异乡，各有故事。彼此不易，以诚相待。愿我们都能在这片陌生的土地上站稳脚跟，落地生根。 哪怕没有鲜花掌声，至少有一盏灯，是为自己亮着的。
#网友爆料 #欠薪不发 安盛浩鑫老板：方总、汤总，主管十九（拾玖）、周星驰。去年跑路，偷偷开了，连几万工资都不敢结算。 还换飞机继续，11个人替你们白打工。声优本来就赚辛苦钱，这也要跑路，跑路就算了，你连我的押金都不退，现在还成立上六扇门了。 越搞越正规了啊！联系都联系不上，全当不知道这回事吗？ 你们安盛是不是搞昏头了，讲上忠诚、人品第一了。老大都做不到，还说是要求员工做到。 本来说出事了就算了，你们既然还在这么久了，连敷衍都懒得敷衍一下？
#网友爆料 #欠钱不还 此人外号周洋，欠钱50万缅币。以前在亚太钻石楼上班，那个时候和我借钱，到现在没还，已经两年多了。 以前借钱给他，是因为他开车撞到别人，需要赔钱。看他可怜才借给他，结果到了还钱的时候一拖再拖，到现在还没还。 希望你出来处理，不然真的要克你家要了。如果不想丢脸，请你主动发消息给我。
#泰国资讯：拉廊府急商对策，缅甸矿场毒水致甲武里河浑浊 拉廊府府尹拉差·米诺在巴占镇行政组织会议室主持甲武里河水浑浊问题工作组第一次会议，各相关部门及网络代表参会。 会议跟踪了来自缅甸矿场的跨境污染情况，并获悉今年4月旱季，甲武里河接乌隆河段浊度最高达209 NTU。 网络代表提出10项建议，包括每月公开会议结果、每月检测水质、每6个月检测水生动物残留，以及谈判关闭缅甸非法矿场、开展生态修复等。 巴占镇镇长表示，当地民众受这一问题影响已7年，无法使用河水，并请求划拨预算建设备用水源。
#缅甸资讯：仰光UAB银行分行遭抢劫，一人被抓一人逃脱 9月22日中午，仰光博德涛镇区Simphyu路一家UAB银行分行发生抢劫案。两名男子持刀和假枪闯入，劫走650万缅元，其中一人被附近民众合力抓获，另一人逃脱。 被抓者为29岁的Sithu Soe，居住在丹林镇区。被抢款项已全部追回，留在柜台的包裹内则是用胶带缠绕的电池。 警方已依据刑法第394条立案调查，目前正在追查在逃嫌犯。
#缅甸资讯 当地居民表示 “检查变得越来越严了，就在这两天。货车和救护车全都要查，是军队亲自在查，所有进城路口都在查。特别是救护车，还要拍下病人和救护车合影的照片，查得比一般车辆还要严格。 都是军方亲自上阵检查，每个检查站至少有12个人，全都穿着整齐的制服进行盘查。这种严查已经持续两天了，主要针对帕安（Hpa-an）的进城路口，重点就是进城和过境车辆。 到了晚上7点、8点左右，城里就已经冷冷清清了。大家出行都要多加观察、注意安全，多留个心眼、多加防范吧。”
#缅甸曝光 老板外号 #豪哥，也是园区老板；直营主管外号 #勤奋，代理主管外号 #花臂 业务员组长成员外号：林文、啊路、大猫、王杰；枪手组长：宝哥；代理成员外号：牛哥、多金、阿虎、刀锋、66。 该公司以冒充抖音客服打电话的方式实施诈骗。投稿称，公司成立3年，每月业绩1亿元以上。 公司位于缅甸妙瓦底交克村DKBA总部门口的新园区，园区由集装箱以及铁皮搭建而成。
#缅甸资讯：缅军利用民用车辆向三佛塔镇增兵，兵力据称已达数百人 据司机消息，缅军正利用民用客运车辆向克伦邦三佛塔镇战略高地营地增兵，截至9月，兵力据称已达数百人。 据称，缅军利用私家车和客运车辆，经穆东—基亚英塞基公路运送兵力，再经基亚英塞基军区将官兵送往三佛塔镇各营地。革命武装估计，此类行动自2024年持续至今，兵力约达700人。 此外，部分缅军成员被指伪装成司机，携家属迁入三佛塔镇定居经商；当地商人也被指使提供民用车辆协助军需运输。 目前，三佛塔镇据称由DKBA控制，但部分行政事务仍与缅军合作。上月有消息称，缅军曾向DKBA施压，要求移交该镇，但截至9月尚无变化。
#泰国资讯：曼谷暴雨致多条主干道积水，部分路段通行受阻 9月25日晚至26日上午，曼谷持续强降雨，多条主要道路出现积水，部分路段交通受阻。 受影响道路包括威帕瓦迪兰实路、帕凤裕庭路、拉玛甘亨路等，部分区域积水较深，车辆通行困难。 泰国气象部门提醒，曼谷及周边地区强降雨仍可能持续，局部地区存在突发积水风险。小型车辆应避免驶入深水路段，驾驶员出行需提高警惕。
金三角新闻曝光|斑马曝光|Golden Triangle News pinned a video
金三角新闻曝光|斑马曝光|Golden Triangle News pinned a photo
Showing the 12 most recent of 1,190 posts we hold for @jinsanjiao_xinwen. 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 4 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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“金三角新闻曝光|斑马曝光|Golden Triangle News” (@jinsanjiao_xinwen), 79,771 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/jinsanjiao_xinwen.
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.