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Channel
@tequshi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,990subscribers
+1,352 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002645439480 |
|---|---|
| Type | Channel |
| Usernames | @tequshi @xinwenpindao11 |
| Description | #老挝万象 #老挝金三角 #金三角特区 投稿,删帖: @x999f 商务,合作: @ugqqq |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/tequshi |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 13:24 | 24,990 | no change |
| 22 Aug 2026, 11:43 | 24,990 | -51 |
| 21 Aug 2026, 06:52 | 25,041 | -2 |
| 21 Aug 2026, 01:26 | 25,043 | -8 |
| 20 Aug 2026, 04:36 | 25,051 | -5 |
| 20 Aug 2026, 01:33 | 25,056 | -13 |
| 19 Aug 2026, 07:15 | 25,069 | no change |
| 19 Aug 2026, 07:01 | 25,069 | -4 |
| 18 Aug 2026, 22:23 | 25,073 | -35 |
| 17 Aug 2026, 20:17 | 25,108 | -31 |
| 16 Aug 2026, 22:12 | 25,139 | -57 |
| 15 Aug 2026, 17:54 | 25,196 | +1,650 |
| 14 Aug 2026, 04:38 | 23,546 | +6 |
| 12 Aug 2026, 18:23 | 23,540 | +12 |
| 11 Aug 2026, 16:11 | 23,528 | +7 |
| 10 Aug 2026, 14:02 | 23,521 | -22 |
| 9 Aug 2026, 11:01 | 23,543 | -24 |
| 8 Aug 2026, 13:34 | 23,567 | -47 |
| 7 Aug 2026, 13:14 | 23,614 | -24 |
| 7 Aug 2026, 03:15 | 23,638 | first reading |
129 posts held, back to 6 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 40 pagesof 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 122 of 128 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 August 2026 |
|---|---|
| Posts held | 129 (6 August 2026 – 23 August 2026) |
| Views total | 130,298 |
| Reactions total | 1,328 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 10:17 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.
Lifetime counters from Telegram’s own channel header, read 23 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.
Measured directly from 31 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.
1,328 reactions across 122 posts, in 12 distinct kinds. The most used accounts for 11.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 154 | 11.6% | |
| 💘 | 152 | 11.4% | |
| 🐳 | 150 | 11.3% | |
| 🕊 | 148 | 11.1% | |
| ❤🔥 | 147 | 11.1% | |
| 🤗 | 142 | 10.7% | |
| 🫡 | 140 | 10.5% | |
| 💯 | 139 | 10.5% | |
| 😍 | 132 | 9.94% | |
| ❤ | 20 | 1.51% | |
| 👍 | 3 | 0.226% | |
| 🤣 | 1 | 0.075% |
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 122 of the 129 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 1,328reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 129 most recent posts we hold, published 6 August 2026 to 23 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.
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#网友投稿 金三角特区 巨星公寓开始检查了 听说还要查手机 兄弟们注意一点 ⚡️免费投稿曝光客服➡️ @x999f ⚡️老挝华人交流群➡️ @laowoqun
湖南湘潭警方成功劝返两名滞留金三角涉诈人员 近日,湖南湘潭警方成功劝返两名长期滞留境外金三角地区的涉诈嫌疑人马某与唐某。 经查,二人于2023年4月明知当地园区从事电诈活动,仍入职参与作案50余天。在民警向其家属宣讲法律政策及思想疏导下,二人打消侥幸心理,于7月1日回国并于8日主动投案。 目前,二人因涉嫌诈骗罪已被依法采取刑事强制措施,案件正在办理中。 ⚡️免费投稿曝光客服➡️ @x999f ⚡️老挝华人交流群➡️ @laowoqun
#网友曝光 曝光这4个河南狗说没有工作想去打野,会吸毒,在万象天天骗人,说有项目做日本盗刷,没有一点技术/说以前做过房源国内精聊,骗取我的信任,骗我这边资源,每天都要这个要那个还要嫖娼,还拉一个上号群骗资源费(预计1000u),贼鸡巴会说,每天哥里长哥里短,今天偷摸跑了把我设备两台笔记本电脑,一台苹果平板,三部手机偷走了(预计3000u),路费2800u,就来我这里10天,没有做事就(预支了一千人民币),每天好吃好喝没断过,(合计损失超10万人民币)东南亚各位兄弟大佬一定要留意这几个畜生河南狗,当心被骗,提供他们藏身之处奖励500u 此二人在老挝万象附近,名叫 金来、阿贵,8月22号上午偷我两台笔记本电脑一个苹果平板三部手机,金来、阿贵我想问下你到底是不是人?你们说没事做来我这十天养着你们吃喝住,本来大环境不好,我也理解,把你当朋友这么久,没有为难过你,你这样做? 此二人偷手机电脑骗钱打回家为了吸毒,老挝各大公司麻烦千万不要聘用…
#巴基斯坦资讯:伊斯兰堡两轮清剿电诈窝点,671名涉案外籍人员将被列入入境黑名单 相关文章: 巴基斯坦联邦调查局(FIA)于8月22日证实,近期伊斯兰堡呼叫中心两次突袭行动抓获的671名外籍人员,将被正式列入黑名单,永久禁止入境巴基斯坦。 该数字合并两次重大行动的拘留人员:古尔贝格格林片区Sparco Plaza大楼的第一次突袭,以及本周早些时候I‑10/3片区的第二次大规模抓捕。 调查指控,被拘留人员涉嫌网络诈骗、网络性敲诈、勒索、赌博以及传播露骨直播色情内容。其中很多人持旅游、访问签证入境,却开展签证条款禁止的商业经营活动。 联邦调查局将追查为该外籍团伙提供协助的本地中间人、房屋房东与担保人。外交部已接到通报,会把案件情况通报各涉案人员的所属国。 联邦政府已经批准全国打击非法呼叫中心专项行动。由联邦调查局总部牵头的跨部门专项工作组,统筹突袭行动、证据搜集,每日向内政部报送进展。卡拉奇等其他主要城市也在筹备后续清查…
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此人曾经在亚峰集团敲键盘的小狗推 代号金钱···是和亚峰金总混的 现在人在特区一地带 或者特外 注意此人 职业骗子 身高1米6 体重150斤左右 猪头形象 2025年底搬家到三佛塔 瀑布铁皮房园区 由于没有网络 没开工 所以玩会扑克 在桌面借的一万泰铢 到现在还没有还 你妈了逼你是活不起了啊 还是说你吃不起饭了 天天练口活 你对得起这帮人对你的信任吗? 操你妈 你还要威胁我 曝光我 你那两逼下子 耗子看见你都掉眼泪· 你还学会曝光一个人了 你有什么理由曝光呢 欠钱不还还有理了?我希望你看见我这条信息好好做个人 还有中途2025年3月份至今 AA在包厢和吃饭的7-8次 接近6000-7000美金 都没有还 人抬屁股跑路了 如果你接触到此人 请绕行 就是一个混吃混喝的 成天吹牛逼 鸡毛能耐没有 到处混 如果有转发每个 曝光群的 可以找我领取红包 谢谢 此人海南人 几年前到东南…
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#泰国资讯:曼谷市中心公园发生致命冲突:男子遭殴打昏迷后被扔入池塘身亡 8月21日晚约22时,泰国曼谷市中心知名景点Benjasiri公园内发生一起严重暴力事件,一名男子在冲突后被抛入公园池塘,最终溺水身亡。 据现场消息,当晚两名男子在公园靠近素坤逸路一侧的池塘附近发生激烈争执,随后升级为肢体冲突。目击者表示,其中一名男子遭对方猛烈踢打,随后倒地失去意识。 事发后,嫌疑人疑似将已经失去反抗能力的男子拖至池塘边,并将其投入水中,随后趁现场混乱逃离。目前,嫌疑人身份及逃跑方向仍在进一步调查中。 接到报警后,Ruam Katanyu Foundation(ร่วมกตัญญู基金会)救援队及相关消防人员迅速赶赴现场,并组织潜水人员展开搜救。经过搜索,救援人员最终在池塘内发现落水男子,并将其打捞上岸。 然而,由于男子长时间浸泡在水中,救援人员确认其已无生命迹象,最终宣告死亡。 警方随后封锁现场展开调查,并调取周边监控资料,以…
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Showing the 12 most recent of 129 posts we hold for @tequshi. 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.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“老挝万象 金三角特区 老挝金三角 老挝新闻” (@tequshi), 24,990 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/tequshi.
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.