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Channel

华人大事件

@hr138

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

38,093subscribers

+19,984 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003796333814
TypeChannel
Username@hr138
Description华人热门事件 #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #马来西亚 海外华人圈信息集散地,一手动态,比别人快一步! 华人大小事,一网打尽,一站知天下 商务洽谈 @xhe569 投稿 @lingda1908 双向机器人 @kefu37bot 最全最新内容
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/hr138

Topic

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 97% 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

17,00542,54829,776.58 August 2026 — 18,109 subscribers8 August 2026 — 17,977 subscribers9 August 2026 — 17,797 subscribers10 August 2026 — 17,598 subscribers11 August 2026 — 17,322 subscribers12 August 2026 — 17,180 subscribers13 August 2026 — 17,100 subscribers14 August 2026 — 17,005 subscribers16 August 2026 — 28,132 subscribers17 August 2026 — 42,548 subscribers18 August 2026 — 42,363 subscribers19 August 2026 — 42,302 subscribers20 August 2026 — 42,127 subscribers21 August 2026 — 42,091 subscribers23 August 2026 — 42,086 subscribers24 August 2026 — 42,084 subscribers25 August 2026 — 42,052 subscribers26 August 2026 — 42,012 subscribers27 August 2026 — 41,912 subscribers28 August 2026 — 41,575 subscribers30 August 2026 — 41,107 subscribers30 August 2026 — 40,807 subscribers31 August 2026 — 40,398 subscribers2 September 2026 — 40,150 subscribers3 September 2026 — 39,817 subscribers5 September 2026 — 39,026 subscribers8 September 2026 — 38,093 subscribers38,0938 August 20268 September 2026
27 measurements spanning 31 days, net +19,984. 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 13,174–46,379 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Sept 2026, 07:1638,093-933
5 Sept 2026, 02:4139,026-791
3 Sept 2026, 05:5639,817-333
2 Sept 2026, 00:2540,150-248
31 Aug 2026, 23:4740,398-409
30 Aug 2026, 22:3340,807-300
30 Aug 2026, 01:2541,107-468
28 Aug 2026, 23:0741,575-337
27 Aug 2026, 22:0441,912-100
26 Aug 2026, 21:4742,012-40
25 Aug 2026, 23:0842,052-32
24 Aug 2026, 23:5742,084-2
23 Aug 2026, 08:0542,086-5
21 Aug 2026, 17:0642,091-36
20 Aug 2026, 15:0142,127-175
19 Aug 2026, 14:2342,302-61
18 Aug 2026, 13:0442,363-185
17 Aug 2026, 12:3642,548+14,416
16 Aug 2026, 03:0328,132+11,127
14 Aug 2026, 16:2517,005first reading

Engagement

796 posts held, back to 8 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 69 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.827%
avg views ÷ 38,093 subscribers
Avg views / post
315
700 posts measured
Reaction rate
0.31%
reactions ÷ views · ER floor
Posts in window
700
of 796 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 9 of 700 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 9 September 2026
Posts held796 (8 August 20269 September 2026)
Views total220,625
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 13:04 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
24,400
Videos
4,370
Links
13,200

Lifetime counters from Telegram’s own channel header, read 9 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 58m
Average length
46s

Measured directly from 235 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 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8100.0%

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 10 of the 796 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 796 most recent posts we hold, published 8 August 2026 to 9 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

9 Sept 2026, 12:54 UTC267 viewsread 9 September 2026
Video

#群友投稿:人在国外,管好自己的嘴,尽量不讲这3种话,生活就顺了。 出国这些年,见过不少“言多必失”的人,仔细观察起来,他们其实并没有坏心眼,而且有些人的人品相当不错,只是有时候为了逞口舌之快,没有管住自己的嘴,才间接地影响了自己的生活。 每个成年人都必须明白一件事,那就是,我们说出去的话,是收不回来的。无论你后续做了什么补救,影响已经造成了。 如果让我总结在国外最不该说的三类话,那必须是下边这三种。 首先不该说的是气话。人在国外,既要赚钱,还要照顾好自己的情绪和生活,压力不是一般的大。有些人遇上什么事情都藏在心里,不会发泄出来,这样长久下去的后果就是,有时候他们实在忍不住了,会彻底爆发,说出很多气话,比如在电话里攻击自己的家人,或者面对忍了很久的同事朋友,突然恶语相向。 说气话的那一刻,他们觉得压力一下子释放了,但代价却很大。家人之间可能因此产生隔阂,同事和朋友不会惯着你,觉得你情绪不稳定,直接远离你了。 第二种不

9 Sept 2026, 12:49 UTC342 viewsread 9 September 2026
Video

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9 Sept 2026, 12:29 UTC351 viewsread 9 September 2026
Photo

#柬埔寨资讯:木牌突查疑似网络诈骗窝点 9月9日,柬埔寨柴桢省巴维市执法部门联合行动,对巴维市诺贝尔酒店(Nobel Bavet Hotel)一处疑似网络诈骗窝点进行突查。 行动中,警方在酒店2220号房间发现6名越南籍人员(1女5男),并查获笔记本电脑4台、手机11部及K59型手枪1支。其中一名越南籍男子被指为枪支持有人。 此外,警方还在1105号房间发现疑似DU品及吸DU工具。目前,涉案人员及相关物证已被移交警方相关部门进一步调查处理,2220号房间已被临时封闭。 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿

9 Sept 2026, 12:13 UTC365 viewsread 9 September 2026
Photo

#摸鱼日记:今天又是摸鱼混底薪的一天。 业绩:0 提成:0 激情:0 工资到账:100% 完美闭环。老板画大饼,我负责点头;主管让我冲,我负责微笑;底薪到账,我负责感恩。我的工作态度是:业绩随缘,底薪必拿;业绩不一定要有,摸鱼一定要稳。 我的职场定位是:不做精英,不做单王,只做底薪守护者。只要我脸皮够厚、演技够好、键盘够响,公司就是我的舞台。公司不倒我不倒,公司一倒我就跑。 PS:很有精神😂 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿

9 Sept 2026, 11:59 UTC365 viewsread 9 September 2026
Video

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9 Sept 2026, 11:44 UTC376 viewsread 9 September 2026
Photo

扶南德崇运河项目在中国融资近10亿美元 今天上午,柬埔寨副总理兼柬埔寨发展理事会(CDC)第一副主席孙占托在厦门见证了中国进出口银行与扶南德崇沿海内河运输公司关于扶南德崇综合水资源管理项目的融资协议签署,涉及金额近10亿美元。 孙占托强调,该项目将打造全新的“经济走廊”,大幅降低物流成本并带动沿线产业发展。他借用“人心齐,泰山移”高度赞扬中柬合作,并邀请国际投资者赴柬共享发展机遇。 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿

9 Sept 2026, 11:38 UTC379 viewsread 9 September 2026
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#最新消息:🇰🇭木牌诺贝尔酒店今日检查行动,现场逮捕了3男一女(中国籍),并查获了多部手机以及电脑。 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿

9 Sept 2026, 11:25 UTC386 viewsread 9 September 2026
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#群友反馈:在波贝开工的团队要当心了。 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿

9 Sept 2026, 11:14 UTC392 viewsread 9 September 2026
Video

#群友爆料:本人是3月27日被拜林女省长带队打击的国盘狗推100多人中的其中之一。 我们几个老乡,一起做了3千多万的业绩,我们一分钱没有拿到。代理,史陈太郎,你早拿着我们的辛苦18个小时的钱,跑到国外潇洒去了。 代理,史陈太郎说公司会保出来的,被抓了就嘴上说保。后面我们几个老乡被遣返回国,做的业绩也被代理拿着,一分钱没有给我们。 开始联系飞机,在线联系不回复,后面飞机都注销了。你跑到哪里,你一辈子不要回国了。三天不联系我们,我们几个老乡也会直接先去你家,跟你家人问个好。 拜林财神一天工作18个小时,拿命换出来的钱,你都这样对我们,我们都被搞得这样了。你也知道什么情况,你拿着钱,跑去潇洒,我们只能找你家人。 公司说钱被你拿走了。三天不联系我们,就把你们相片全部曝光出来,还有你家人相片、公司管理相片,还有公司老板相片,全部曝光到大事件,让大家看看你们。 在国内家里花钱找关系保出来,现在希望你们把我们拿命换来的钱给我们。

9 Sept 2026, 10:36 UTC401 viewsread 9 September 2026
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#群友爆料:去年在鼎盛 N1 做资金盘,123 办公室总监,大金,东北人,手上有纹身,应该是辽阳那边的,身高 1.83 左右,35 岁左右。 现在公司已经搬迁到缅甸亚太继续干。此人品行恶劣,去年带的 123 办公室,恶意克扣、压榨组员,每月罚款,对组员骂得无地自容。自己每天抱着手机上班打转转,什么事都不教,自己挨骂了就拿组员出气。 说句实在话,你就在里面横而已,出来你也都不是。当时有 4 个组员都是湖南的,他们几个老乡一起来的,也被这个总监逼得受不了,全部都从办公室敲开窗户跑了。 经过这件事过后收敛了一点,但是狗还是改不了吃屎啊。后面我叫来了一个家里的兄弟,被他逼得都抑郁了。我兄弟在 4 楼准备跳下去,后面被保安发现了,拉了回来,公司直接让赔付 15300 美金。 这班人,同归于尽吧。 后续我会发这个畜生的照片,以及做过什么盘、杀过那个客户,我会全部列出来,都别想好了。 华人头条 全民吃瓜 西港助

9 Sept 2026, 10:13 UTC405 viewsread 9 September 2026
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#星汇静享SPA养生馆郑重澄清: 我们只是普普通通的普通人,怀揣想法来到西港创业谋生,踏踏实实经营门店,靠手艺挣辛苦血汗钱,万万没有想到会遭遇绑架勒索,算是死里逃生捡回一条性命。 涉事歹徒现已被警方抓获,但对方同伙心怀怨恨,刻意在网络发布不实信息恶意中伤本店,造谣我们提供色情服务,完全是颠倒黑白的报复行为。 本店所有项目均为正规康养理疗,不存在任何违规服务。试想,如果真的是涉黄场所,根本不会出现网传所谓200美金不带套这类说法,明眼人都能分辨谣言的虚假。 外出上钟的技师是刑事案件的受害者,遭遇持刀威胁、财物被洗劫,身心都受到巨大伤害。案件还在处理当中,这伙不法分子还存在继续作案的风险,我们强烈希望可以将全部涉案人员绳之以法。 目前门店全体员工人心惶惶,技师不敢外出接单,背井离乡努力生活,却要承受暴力伤害,还要遭受网络造谣抹黑,内心十分寒心。 我方完整保留报警回执、受伤取证、平台接单记录等全部证据。对于恶意造谣、肆意抹

8 Sept 2026, 22:05 UTC278 viewsread 9 September 2026
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Showing the 12 most recent of 796 posts we hold for @hr138. 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.

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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

Named by 3 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.

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

“华人大事件” (@hr138), 38,093 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/hr138.

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.