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Channel

东南亚之意想不到的事

@yixiangbudaodeshi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

36,550subscribers

-2,652 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-1002156878896
TypeChannel
Username@yixiangbudaodeshi
Description东南亚最大的瓜,惊掉你的下巴
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/yixiangbudaodeshi

Topic

National news — 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 83% 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

36,55039,20237,8767 August 2026 — 39,202 subscribers7 August 2026 — 39,202 subscribers8 August 2026 — 39,094 subscribers9 August 2026 — 38,972 subscribers10 August 2026 — 38,858 subscribers11 August 2026 — 38,647 subscribers12 August 2026 — 38,554 subscribers13 August 2026 — 38,434 subscribers14 August 2026 — 38,282 subscribers15 August 2026 — 38,171 subscribers17 August 2026 — 37,962 subscribers18 August 2026 — 37,856 subscribers19 August 2026 — 37,732 subscribers20 August 2026 — 37,717 subscribers21 August 2026 — 37,700 subscribers22 August 2026 — 37,678 subscribers24 August 2026 — 37,663 subscribers25 August 2026 — 37,615 subscribers26 August 2026 — 37,552 subscribers27 August 2026 — 37,544 subscribers28 August 2026 — 37,529 subscribers29 August 2026 — 37,443 subscribers30 August 2026 — 37,369 subscribers31 August 2026 — 37,302 subscribers1 September 2026 — 37,231 subscribers2 September 2026 — 37,165 subscribers3 September 2026 — 37,156 subscribers6 September 2026 — 37,136 subscribers9 September 2026 — 37,100 subscribers11 September 2026 — 37,057 subscribers13 September 2026 — 36,927 subscribers15 September 2026 — 36,804 subscribers17 September 2026 — 36,746 subscribers19 September 2026 — 36,723 subscribers26 September 2026 — 36,550 subscribers7 August 202626 September 2026
35 measurements spanning 50 days, net -2,652. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 36,152–39,600 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 19:2136,550-173
19 Sept 2026, 16:3836,723-23
17 Sept 2026, 05:4036,746-58
15 Sept 2026, 04:1936,804-123
13 Sept 2026, 13:5836,927-130
11 Sept 2026, 18:1537,057-43
9 Sept 2026, 06:5737,100-36
6 Sept 2026, 02:0037,136-20
3 Sept 2026, 23:5937,156-9
2 Sept 2026, 15:0637,165-66
1 Sept 2026, 15:2537,231-71
31 Aug 2026, 17:3637,302-67
30 Aug 2026, 19:0637,369-74
29 Aug 2026, 18:2637,443-86
28 Aug 2026, 18:1637,529-15
27 Aug 2026, 14:4737,544-8
26 Aug 2026, 12:2737,552-63
25 Aug 2026, 11:2337,615-48
24 Aug 2026, 12:0537,663-15
22 Aug 2026, 16:2437,678first reading

Engagement

240 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 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.127%
avg views ÷ 36,550 subscribers
Avg views / post
46.4
54 posts measured
Reaction rate
0.988%
reactions ÷ views · ER floor
Posts in window
54
of 240 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 8 of 54 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 October 2026
Posts held240 (6 August 2026 – 1 October 2026)
Views total2,504
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 16:25 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
≈6,420
Videos
≈3,610
Links
≈188

Lifetime counters from Telegram’s own channel header, read 1 October 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
30m 50s
Average length
30s

Measured directly from 61 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

9 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍888.9%
🥰111.1%

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 8 of the 240 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 240 most recent posts we hold, published 6 August 2026 to 1 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.

Recent posts

1 Oct 2026, 14:20 UTC6 viewsread 1 October 2026
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#国内资讯:警惕!诈骗团伙利用卡通头像伪装身份,虚假网络形象成新套路 近日,一段关于网络诈骗套路分析的视频在社交平台引发关注。视频指出,部分诈骗人员在网络交友、投资推广等场景中,开始使用卡通头像、动漫图片等作为个人头像,通过隐藏真实身份、包装虚假人设的方式,降低受害者警惕。 视频中提到,一些诈骗分子会长期使用非真人头像,与受害者聊天时刻意营造“年轻、有故事、值得信任”的形象,通过聊天培养关系,再逐步诱导对方进入投资、博彩、兼职返利等骗局。 同时,视频提醒网友,相比使用真实生活照片的人,长期使用模糊头像、动漫头像,且朋友圈内容单一、缺少真实生活痕迹的账号,更需要提高警惕。 网络安全人士提醒,网络交友和陌生投资过程中,不要仅凭头像、聊天记录判断对方身份。任何涉及转账、投资、充值、购买虚拟产品等要求,都应保持谨慎,避免因轻信网络身份包装而造成财产损失。 警方及相关部门也多次提醒,诈骗分子不断翻新话术和伪装方式,网友应增强防范…

1 Oct 2026, 10:49 UTC7 viewsread 1 October 2026
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#网友反馈:#金三角 #打野被端 金三角特区,特区治安局突击检查了“ #梅花苑”和“ #唐人国际”。 唐人国际里面一个打野窝点直接被端了,抓走了三四个人,还拿走了一批电脑。 昨天晚上治安局半夜出动检查,行动尚未结束,在特区的兄弟们当心点。 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

1 Oct 2026, 10:16 UTC7 viewsread 1 October 2026
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#网友反馈:年少不知阿姨好,东南亚几年才懂 刚出来东南亚那几年,年纪轻,眼光也简单。二十多岁的时候,看到年轻漂亮的小姑娘,总觉得这才是标准。脸嫩、身材好、会撒娇,会聊天,觉得这就是吸引力。那时候根本不懂成熟女人的魅力。 后来在东南亚待久了,接触的人多了,才慢慢发现,有些东西不是年龄能代替的。年轻女孩有青春,有活力。但阿姨身上的那股韵味,是时间磨出来的。 经历过生活的女人,身材的曲线、说话的方式、待人的分寸感,都和刚出来社会的小姑娘不一样。她们不会一惊一乍,也不会天天想着证明自己。一个眼神,一个动作,一个聊天的状态,就能感觉出来区别。 以前觉得年轻就是优势。后来发现,成熟女人身上那种从容和气质,小姑娘真的比不了。 就像车一样。新车有新车的漂亮,但经典老车为什么一直有人喜欢?因为懂的人知道,老A8还是那个老A8,靠的不是新鲜感,而是底蕴。 年轻时候喜欢追求外表,喜欢新鲜刺激。经历多了才知道,有些女人不需要刻意打扮,坐在那…

1 Oct 2026, 07:27 UTC7 viewsread 1 October 2026
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#网友反馈:入境马来西亚要小心 今天朋友给我反馈的。他从曼谷飞吉隆坡走自助,然后不行就被带去小黑屋,然后使馆的人就通知过来了,目前在遣返室待着。中国护照,有柬埔寨记录的都是严查对象! 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

1 Oct 2026, 02:53 UTC8 viewsread 1 October 2026
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#柬埔寨资讯:柬金边执法部门拘捕4名流浪人员 7月16日上午,行动由桑卡(Sangkat)政府代表宾·古索(Pen Kosal)率领社区治安力量,并联合堆谷区统一指挥委员会执法人员,在堆谷区副区长西姆·索潘(Sim Sophal)及堆谷区警察副局长涅姆·索卡(Nhem Sokha)的带领下,对位于592号路56号、7村的一处地点进行检查。 行动中,执法人员共拘捕4名流浪人员,随后将其移送至堆谷区警察局,依法办理后续手续。 PS:现在没得抓了,都开始抓流浪的人了 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

1 Oct 2026, 01:13 UTC7 viewsread 1 October 2026
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#网友反馈:马来西亚吉隆坡这边的扫黄行动根本停不下来,又一大批在外做特殊服务的女生被警方一锅端带走了,最近不管是公寓还是小型会所,半夜随时都有可能迎来突击检查,藏在哪都躲不过排查。 现在执法力度一天比一天狠,隔三差五就大规模抓人,能找得到的渠道基本全被掐断。照这个节奏持续整治下去,以后再来吉隆坡的男同胞属实太难了,出门溜达一圈啥花样都碰不到,到头来只能自己想办法解决,属实有点惨。 以前还能悄悄找地方消遣一下,现在到处风声紧绷,从业者抓一批少一批,慢慢直接彻底绝迹,过来游玩或者务工的人,最后只剩下自娱自乐这一条路,想想都觉得好笑。 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

30 Sept 2026, 23:02 UTC7 viewsread 1 October 2026
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#网友反馈:昨天晚上吉隆坡蕉赖,fantasy俱乐部移民局抓了30几个小姐。 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

30 Sept 2026, 22:06 UTC4 viewsread 1 October 2026
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#老挝资讯:7月16日,老挝金三角特区公安正式启动酒店、民宿、长短租公寓全域逐户核验专项整治。 本次行动压实所有住宿经营者、出租房东的治安管理责任,明确硬性登记规则:所有接待外籍人员的住宿场所,必须在24小时内采集外籍人员证件信息,并同步上传治安管理系统备案。 执法部门划定分级处罚标准,分为行政违法与刑事追责两类: 仅逾期未登记、不上传外籍入住信息,且无涉诈关联的,将处以高额罚款,并责令短期停业整改; 房东、店家明知外籍租客从事电信网络诈骗,仍违规收留、隐瞒不报的,将依法从严追究刑事责任。情节严重者,最高可判处五年有期徒刑,并处大额罚金。 本次清查重点排查无证民宿、隐秘短租公寓等高风险场所,严厉打击外籍人员漏登、瞒报、藏匿“三非”人员等违法行为,全面清除跨境电诈藏匿窝点。 特区公安提醒所有商户、房屋出租者,严格落实住宿登记报备制度;如发现涉诈可疑人员,应第一时间向特区公安机关举报。 关注东南亚频道🙂@yixiang…

30 Sept 2026, 20:18 UTC8 viewsread 1 October 2026
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#中国驻菲律宾大使馆:中菲联手捣毁电诈窝点并遣返6名犯罪嫌疑人 7月16日消息:近日,中菲两国执法部门紧密协作,成功捣毁一个盘踞在菲电诈窝点。 该团伙涉案金额近千万元,6名犯罪嫌疑人悉数落网,均为中方通缉在逃人员,涉嫌从事电信诈骗、洗钱及掩饰、隐瞒犯罪所得等多项罪名。行动中,执法人员在窝点现场查获大量电脑、手机、假印章等作案工具,同时缴获手枪、DU品等违禁物品。 经驻菲使馆全力协调,7月14日,菲移民局官员将6名嫌疑人押解遣返回中国。中国驻菲使馆将持续深化执法合作,坚决打击跨境违法犯罪活动,切实守护同胞生命财产安全 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

30 Sept 2026, 18:07 UTC8 viewsread 1 October 2026
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#越南新闻:越南今日接收柬埔寨移交的19名公民 7月15日,越南同塔省新护基乡(Tân Hộ Cơ)丁婆(Dinh Bà)国际口岸边防站联合相关职能部门,接收了由柬埔寨有关部门移交的19名越南公民。 此次经同塔省丁婆国际口岸返回越南的19人中,包括11名男性和8名女性,分别来自越南全国10个省市。 据这些人员供述,他们此前前往柬埔寨,在卡拉OK场所、餐馆等商业机构工作,或从事中介、网络销售等相关业务。 经越南有关部门初步核查,目前尚未发现任何证据表明他们涉及网络诈骗、利用通信网络实施诈骗、人口贩运等违法犯罪行为。 丁婆国际口岸边防站已完成相关接收手续,并将上述人员移交其户籍所在地公安机关进一步处理。同时,针对部分人员存在未依法办理出境手续、非法越境的行为,依法作出行政处罚决定,累计罚款金额超过3000万越南盾。 关注东南亚频道🙂@yixiangbudaodeshi 投稿:@dsgl2

30 Sept 2026, 15:17 UTC8 viewsread 1 October 2026
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#柬埔寨新闻:海关突查巴域市边境仓库 查获3.6万条走私香烟 近日,在柬埔寨海关总署的指挥部署下,海关缉私部门联合多部门执法力量,对位于柬越边境地区的一处香烟储存仓库展开突击检查,成功查获一批涉嫌走私的进口香烟。 据悉,此次行动是在柬埔寨海关总署总监兼副总理助理部长贡尼姆(Kun Nhem)以及海关缉私与预防犯罪部门负责人努西达(Nou Sitha)的指导下,由海关缉私行动队直接执行。 行动期间,由海关缉私部门副主任普雷·基拉特(Preab Kearat)亲自带队,与斯登省边防232部队、国家宪兵、斯登省宪兵以及巴域国际口岸海关办公室展开联合行动。 在斯登省巴域市(Bavet)普拉萨特分区中村(Phum Kandal)靠近柬越边境的一处仓库内,执法人员依法进行检查搜查,发现大量未贴有柬埔寨海关税票的进口香烟。 经清点,查获香烟如下: JPS(台湾)品牌香烟 312箱 × 每箱60条 共计18,720条 B&H(英国…

30 Sept 2026, 12:50 UTC9 viewsread 1 October 2026
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#国内资讯:打粉的也一起抓了!湖南常徳汉寿公安打掉一处裸聊引流电信诈骗窝点 抓获3名嫌疑人! 汉寿县公安局7月16日发布案情通报:近日,汉寿县公安局反诈大队在日常线索摸排工作中发现,城区一处出租屋存在涉诈异常活动。 县局立即统筹反诈、刑侦、聂家桥派出所警力开展实地蹲守、线索核查,完整查清该团伙人员架构、作案渠道、犯罪事实,固定完整涉案证据。 7月12日,反诈大队联合刑侦大队、聂家桥派出所开展集中收网行动,成功捣毁该裸聊引流电诈窝点,当场抓获帅某朋等3名涉案人员,现场起获电脑5台、带VPN功能定制U盘1个等全部作案工具。 经查,今年6月26日起,犯罪嫌疑人帅某朋纠集人员,私自搭建引流窝点对接境外电信诈骗团伙。 该团伙依托上游提供的推特账号实施引流操作:在平台发布衣着暴露的女性配图,引诱境外男性用户留言私信,再引导受害人添加指定Line账号,为境外裸聊敲诈团伙精准输送受害目标。 截至案发落网,该团伙累计操控推特账号100…

Showing the 12 most recent of 240 posts we hold for @yixiangbudaodeshi. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚之意想不到的事” (@yixiangbudaodeshi), 36,550 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/yixiangbudaodeshi.

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.