#网友反馈:缅甸政府军已经开始准备围剿三佛塔了。 今天早上,我在房间里面听到了四声很明显的炮弹声音,虽然还有点距离,但是声音很响,根据其他地方的朋友讲,外围地区偶尔会有枪声传出来,现在三佛塔的园区人员都开始人心惶惶,园区老板也都不在园区里面了,公司该解散的解散,像我们这种还有安全的去路吗,整个东南亚还有净土吗😂😂😂 关注大事件频道🙂@kanxia 投稿:@geren
🤔7😈7😭7❤6👍6

Channel
@kanxia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
455,090subscribers
-14,356 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001601253693 |
|---|---|
| Type | Channel |
| Usernames | @dnydsj @kanxia |
| Created | Between 1 October 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/kanxia |
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 63% 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 |
|---|---|---|
| 12 Aug 2026, 18:54 | 455,090 | -10,213 |
| 12 Aug 2026, 00:55 | 465,303 | +8,897 |
| 11 Aug 2026, 20:45 | 456,406 | -10,618 |
| 11 Aug 2026, 02:55 | 467,024 | -90 |
| 10 Aug 2026, 21:23 | 467,114 | -483 |
| 10 Aug 2026, 01:31 | 467,597 | -177 |
| 9 Aug 2026, 22:11 | 467,774 | -700 |
| 8 Aug 2026, 23:02 | 468,474 | -1 |
| 8 Aug 2026, 22:21 | 468,475 | -849 |
| 7 Aug 2026, 21:01 | 469,324 | -26 |
| 7 Aug 2026, 20:24 | 469,350 | -96 |
| 7 Aug 2026, 12:00 | 469,446 | no change |
| 7 Aug 2026, 11:55 | 469,446 | first reading |
132 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 17 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 113 of 132 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 132 (7 August 2026 – 12 August 2026) |
| Views total | 1,994,271 |
| Reactions total | 2,184 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 17:38 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.
Measured directly from 45 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.
2,184 reactions across 113 posts, in 40 distinct kinds. The most used accounts for 24.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 538 | 24.6% | |
| 👍 | 428 | 19.6% | |
| 🤣 | 161 | 7.37% | |
| 🤔 | 150 | 6.87% | |
| 🤬 | 80 | 3.66% | |
| ❤🔥 | 74 | 3.39% | |
| 🤯 | 68 | 3.11% | |
| 😁 | 58 | 2.66% | |
| 🎉 | 53 | 2.43% | |
| 🍌 | 42 | 1.92% | |
| 🥴 | 42 | 1.92% | |
| 👏 | 37 | 1.69% | |
| ⚡ | 35 | 1.60% | |
| 🔥 | 32 | 1.47% | |
| 😍 | 32 | 1.47% | |
| 😢 | 30 | 1.37% | |
| 🙏 | 25 | 1.14% | |
| 🤡 | 23 | 1.05% | |
| 👎 | 21 | 0.962% | |
| 💔 | 21 | 0.962% | |
| 20 further kinds | 234 | 10.7% |
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 113 of the 132 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 2,184reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 132 most recent posts we hold, published 7 August 2026 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kanxia. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 132 most recent posts we hold for this entry, published 7 August 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#网友反馈:缅甸政府军已经开始准备围剿三佛塔了。 今天早上,我在房间里面听到了四声很明显的炮弹声音,虽然还有点距离,但是声音很响,根据其他地方的朋友讲,外围地区偶尔会有枪声传出来,现在三佛塔的园区人员都开始人心惶惶,园区老板也都不在园区里面了,公司该解散的解散,像我们这种还有安全的去路吗,整个东南亚还有净土吗😂😂😂 关注大事件频道🙂@kanxia 投稿:@geren
🤔7😈7😭7❤6👍6
#国内资讯:广东梅州公安侦破特大虚假助贷诈骗案,抓获106人,涉案金额380余万元! 广东省公安厅8月4日通报:近期,梅州市公安机关深入研判、波次收网,成功打掉一个传统诈骗与电信网络诈骗相结合,利用“线上+线下”模式,在全国实施虚假助贷的新型诈骗犯罪团伙,彻底捣毁“信息端—引流端—线下端—话务端”完整犯罪链条,抓获犯罪嫌疑人106人,涉案金额达380余万元。 经查,涉案团伙假借银行名义,向全国不特定群众群发虚假贷款诱导信息,完成前端引流,同时安排专人对受害人尤其是重疾人员、老年人、失业人员等易受骗群体进行话术引导,随后推送至本地线下“助贷公司”。线下助贷公司利用合法注册公司、正规写字楼办公的方式包装经营资质,伪装合法正规经营身份对接上门客户,通过虚构贷款实力、谎称拥有内部审批渠道、专属放款额度、低利率贷款资质等名义,对不懂网络贷款的群众虚构“风险管理金”骗取网贷金额25%的费用,实则仅代办群众可自主申请办理的普通信贷业务。 …
👍9🤔9🤬9❤6
🦀🐡🐠🐟🐬🐳🐋🦈 😀 UU国际品牌,始终以信任与信誉为核心 ✅ 官网:😀 6A.com —— 实力铸就品牌 😀 新会员好礼🚜注册送28U 💎 首存500,送 68U! 💎 二三存再送 8888U! 💎 逢“6”现金大反馈! 💎 红包福袋,每日 8888U! 💎 实时返水1️⃣.3️⃣🔤起! 🗣👤👥🫂👶🪢🧶🧵🪡👍 😀(保证金查验🔎点击验证) 😃 PG电子连胡高能爆庄727万! 😃 PG麻将1小时爆奖304万! 😃 PA真人盘总当天兑现2190万! 🏆 千万域名保障 🦯 6A.com 😀 客服:@UUKF 😀 飞投:@UU6A 😀 频道:@ uuyl68 😀 代理:@uuzhaoshang 😀 亿级资金储备,打造顶级信誉品牌!
❤2
#突发事件:老挝万象雅典公寓被围了,直接来了2卡车宪兵队。 这波最少要抓几十个狗推~~ 现在直接全部围起来了。 关注大事件频道🙂@kanxia 投稿:@geren
⚡11❤11👍11
#补充视频:不少狗推从大楼里面跑出来,还有狗推又开始飞檐走壁了,路口也有警察怎么跑😄 关注大事件频道🙂@kanxia 投稿:@geren
❤7👨💻7🍌6🍾6👍6🤡6🙏6
#网友反馈:西港潮汕海洋大楼被围了;警察进去排查了,现场跑了不少人。 关注大事件频道🙂@kanxia 投稿:@geren
🕊9🤓9🤔9❤8👍8
#柬埔寨资讯:警方突查涉嫌未成年人性剥削场所 34人被控制包括5名未成年人 近日,柬埔寨国家警察总署反人口贩卖和保护未成年人局联合地方执法部门,在干丹省昂斯努县姆卡克乡特拉平克朗村开展专项行动,对一家名为“金占比”的店铺进行突击检查。 据警方通报,该场所涉嫌存在隐藏性未成年人性剥削活动(儿童卖淫)的违法行为。执法人员在行动中对现场人员进行控制,并展开身份核查及调查取证工作。此次行动共控制34人,其中女性31人,包括5名未成年人。目前,相关人员已被带往柬埔寨国家警察总署接受进一步调查。 警方表示,涉案未成年人将按照法律程序,在完成询问和身份确认后,移交金边市社会事务、退伍军人和青年改造部门进行安置保护,并提供必要的法律援助和社会支持。对于涉嫌违法犯罪的人员,警方将继续依法调查,并在证据充分后移送法院处理。 关注大事件频道🙂@kanxia 投稿:@geren
🍌8👍8👏8🤓8😁8❤7
🇺🇸美国FBI局长披露“黑夜行动”成果 在特朗普总统的领导下,联邦调查局正在主动出击,直捣窃取美国人毕生积蓄的全球诈骗网络。代号为“黑夜行动”(Operation Blackout)的行动取得了以下历史性成果: → 查扣了价值152亿美元的非法资产 → 捣毁了数十个诈骗中心 → 逮捕了数百名犯罪分子 → 解救了数千名人口贩运受害者 → 关闭了7500多个互联网终端 → 向近9000名潜在受害者发出了预警 → 避免了约5.62亿美元的潜在损失 这些诈骗中心并非简单的呼叫中心,而是跨国犯罪企业,从事人口贩运,洗钱数十亿美元,并且从海外针对美国人实施犯罪活动。 ——联邦调查局局长卡什· 帕特尔 关注大事件频道🙂@kanxia 投稿:@geren
❤11👍11👏11🤬11
😀😀😀😀😀😀😀😀😀😀😀😀😀😀 😀铂莱娱乐 8年老品牌 全网广告费每月投入高达500万美金,送“野鸡黑台”一句话,勿伤玩家利益,勿毁博彩信誉。 😃全球布局,娱乐造富,无惧爆庄,千万任提! 😀😀😀😀😀😀😀😀😀😀 😀首存送 复存送 充值笔笔加赠3% 😀每日以小博大 PG爆奖加赠送彩金 😀电子百家乐0审核 0风控 包出款 😀全新代理合作模式55%永久留存 😀公信力保障、即时开奖、公正透明 😃东南亚国家地区不限ip 盘总大哥娱乐首选。 😀😀😀😀😀😀😀😀😀😀 😀当无数野鸡网在生灭中挣扎时,铂莱始终屹立不倒。这就是我们送给全行业最响亮的耳光! 😀😀😀😀😀😀😀😀😀😀 🟢🟢😀😄: @BL01bot 😀😀😀😀: @BLKF0 😀😀😀😀: @bolaidaili 😀😀😀😀: @BLzhaoshang 😀😀😀😀: 5551100.com 😀😀😀柬埔寨地区部分用户访问不了主域名,请访问bo
❤1
😀😀😀😀😀😀😀😀😀😀😀😀😀 🤑 铂莱娱乐 8年老品牌 广告费每月投入高达500万U,全网担保上押1300万U,送“野鸡黑台”一句话,勿伤玩家利益,勿毁博彩信誉。 🫢 【贵宾会 750.cc 】 强势启航,集团背书,信誉担保,全网首发,引爆彩票娱乐新纪元!六合彩49倍 挑战全网心水 全民代理全民收单 助您白手起家 加拿大28全网最高赔率 挑战全网公式 🏃♀️ 很多平台热衷于宣传玩家中奖,却对中奖后的“漫长审核”“异常冻结”闭口不谈。 😀 就在本月,PG电子爆出200万u巨奖。本金仅为5000u…… 😎 截至目前:200万U 已极速下发,单笔提款百万u秒出,亿级储备金硬核坐镇,不要去考验小盘的良心,要选就选大盘的实力。 🌟 当无数野鸡网在生灭中挣扎时,铂莱始终屹立不倒。这就是我们送给全行业最响亮的耳光! 😀😀😀😀: @BLKF0 😀😀😀😀: @bolaidaili 🟢🟢😀😄: @bolaiylc_bot …
👑🪖⛑🎓👒🧢🎩🧣🧤🧦 🥚 8T娱乐城 · 全球数字网投领导者 🥚 实力老品牌 · 信誉保障 · 放心赢 🥚 NO钱包担保1000万U—实力雄厚 🚗 官网:🇽🇰 8T.COM —— 铸就人生奇迹 🥭经过多年稳定运营、已成为玩家信赖的首选平台 🥭东南亚线上第一盘口、公开透明、高额返水 🥭原厂游戏+极速出款、认准信誉实力老平台 🥭选平台不必四处观望、选我们就是最稳的答案 ♠️ 首存最高赠送 18888U ♠️ 二存三存相赠 8888U ♠️ 大额提款加赠 18888U ♠️ APP每日抢红包不停! ♠️亿U现金大回馈天天领豪礼 ♠️尊享会员等级+周俸禄+月俸禄 🐨🐯🦁🐮🐷🐽🐸🐵🙈 😀赌神再现8T娱乐城短短几小时提款130万U🏑 😀30分钟内提现100万U大额无忧提款秒到🏑 😀仅用2000U本金10天爆奖50万U超高爆率🏑 😀运气爆棚65U返水爆30万U创财富奇迹🏑 😀又一赌神莅临8T娱乐城4小时内提现105万🏑 😀赌神大…
❤1
🤣😂😂😅😝😜😜😆😆😆😝😝😝😜 😺斥资10亿美金携手🫠😁🥹🤣强强联运 😺🤣😂😆🥹😂😄😁😂🥹😆🤣😄😁 #西湖娱乐城(信誉综合盘)❗️巨额出款无忧❗️全球最大的顶级华人博彩平台❗️ 🥱 汇聚市面所有主流博彩游戏 😢😮🤬🤐😽👺😑😮💨😭🫡🥹😆🤣😄 😁🤣😆😁😁😁😁🫥😑😶🥱😷🤢 🥴 平台支持🤯💀😽🤕🤐😼😻 存取 😙 东南亚国家地区 不限ip 免实名 东南亚盘总首选平台(无需绑卡和手机号) 😇新用户首存单笔赠送🤗🤔🐢等你来拿!全自动到账 体验更佳 🥵首存送 复存送 投注送 还有豪车嫩模空降等你来拿 ! 😹神秘彩金大奖🤔🤔🤔🤔🤔财富新贵就是你! 🥱 西港某园区主管 澳门六合彩单挑特码三万中奖144万 🥱 泰国灰产大佬 4000一拉进关爆500倍 提款200万 🥱 柬埔寨大盘总 麻将胡了 爆分单笔提款386万 财务秒出款 🤔官方客服: @xihuBET6 🤔代理专员: @xihuBET8 🤔官方频道: @xihuC
❤1
Showing the 12 most recent of 132 posts we hold for @kanxia. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 829,584 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — 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.
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 10 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 26 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.
8 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件” (@kanxia), 455,090 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kanxia.
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.