这是怎么了 📱订阅:@hwhqc ⛔投稿:@gfcoo

Channel
海外华人大事件
@hwhqc
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
30,706subscribers
-42,869 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001477117290 |
|---|---|
| Type | Channel |
| Username | @hwhqc |
| Description | 网罗天下事吃瓜看新闻曝光就来海外华人大事件,真实一直是我们的态度。 投稿澄清: @gfcoo |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/hwhqc |
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 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 17:29 | 30,706 | -576 |
| 31 Oct 2026, 18:48 | 31,282 | -660 |
| 30 Oct 2026, 18:29 | 31,942 | -707 |
| 29 Oct 2026, 15:11 | 32,649 | -502 |
| 28 Oct 2026, 15:46 | 33,151 | +1,048 |
| 27 Oct 2026, 14:58 | 32,103 | -541 |
| 26 Oct 2026, 14:11 | 32,644 | -490 |
| 25 Oct 2026, 16:56 | 33,134 | -314 |
| 24 Oct 2026, 17:55 | 33,448 | -540 |
| 23 Oct 2026, 16:36 | 33,988 | -393 |
| 22 Oct 2026, 17:49 | 34,381 | -444 |
| 21 Oct 2026, 14:39 | 34,825 | -492 |
| 20 Oct 2026, 09:06 | 35,317 | -260 |
| 19 Oct 2026, 10:30 | 35,577 | -330 |
| 18 Oct 2026, 10:16 | 35,907 | -262 |
| 17 Oct 2026, 09:14 | 36,169 | -336 |
| 16 Oct 2026, 09:56 | 36,505 | -801 |
| 15 Oct 2026, 10:04 | 37,306 | -860 |
| 14 Oct 2026, 09:19 | 38,166 | -1,512 |
| 12 Oct 2026, 19:00 | 39,678 | first reading |
Engagement
464 posts held, back to 8 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 171 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.51%
- avg views ÷ 30,706 subscribers
- Avg views / post
- 464
- 118 posts measured
- Reaction rate
- 0.502%
- reactions ÷ views · ER floor
- Posts in window
- 118
- of 464 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 12 of 118 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 November 2026 |
|---|---|
| Posts held | 464 (8 August 2026 – 1 November 2026) |
| Views total | 54,788 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Nov 2026, 22:15 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
- ≈8,130
- Videos
- ≈3,810
- Links
- ≈5,720
Lifetime counters from Telegram’s own channel header, read 1 November 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
- 1h 09m
- Average length
- 51s
Measured directly from 82 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
5,921 reactions across 157 posts, in 6 distinct kinds. The most used accounts for 20.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,218 | 20.6% | |
| 🎉 | 1,209 | 20.4% | |
| ❤ | 1,208 | 20.4% | |
| 😁 | 1,144 | 19.3% | |
| 🔥 | 1,141 | 19.3% | |
| 🤣 | 1 | 0.017% |
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 158 of the 464 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 5,921 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 464 most recent posts we hold, published 8 August 2026 to 1 November 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
此人刘富建,外号(大刘),对外声称是刘忍表弟,与大西港嗨场老板称兄道弟,是安徽商会骨干成员。 此人最擅长私人定制“杀猪盘”,打着商会旗帜骗人投资盘后、黄金等生意,精准对身边人下手。然后以各种名义借钱,借到之后就以各种理由不还,电话不接、信息不回,甚至威胁恐吓辱骂,称要动用关系让人消失,最后拉黑删除。不光骗身边朋友钱,还专门骗女人钱,甚至连夜场上班的钱都骗。此人的无耻程度令人汗颜,很好地诠释了“欠钱的是大爷,我欠钱我牛逼”。随着安徽商会刘忍的覆灭,我也不怕所谓的威胁了,曝光他也是给认识的人提个醒,不要再被骗。 📱订阅:@hwhqc ⛔投稿:@gfcoo
群友叫鸡翻车 📱订阅:@hwhqc ⛔投稿:@gfcoo
#网友曝光:此人叫芩武雄 北海人 之前在国内当军人 因为赌博去了深圳做鸭子 他这个人有点人格分裂,跟他在一起时候天天疑神疑鬼的,估计是喝了恒河水,他喜欢偷别人的资料到处发,没钱到处蹭别人的包厢,说我花他多少钱多少钱笑死我了,转账记录都在,这个畜生转账1000,后脚就要900回去,想法设法的搞钱,因为我不给他200美金,怀恨在心曝光我 说你妈给我多少多少钱,操你妈自己心里没点逼数,连你出码救你的兄弟都这样说你,你还有什么用?难怪你一天天疑神疑鬼的,都他妈40岁好几点人,连他妈做饭都不会做,天天喊我做饭给你吃,不给你做吃就发脾气,真的笑死我了,你这辈子就这样了,说我这说我那,没事你随便说,接触我身边都的人都只知道我是什么性格,你也不要急,等我回去亲自到你家,老子看看你嘴巴有没有现在硬! 在之前老板拿偷了客户入金,然后跑到亚多利出码,爸妈不管,喊兄弟去救,在园区跟个二逼似的,说我诈骗赚不到钱,笑死我了,后面偷了一个客户出来入金给他…
#国内资讯:山东日照警方辗转17省37市集中收网,抓获一批东南亚回流嫌疑人 近日,日照市公安局东港分局成功完成“1·21”特大跨境电信网络诈骗专案全国集中收网行动。 据悉,该案是今年日照市首个经公安部批准、开展全国集群集中收网的电信诈骗案件。侦办过程中,警方依托大数据研判手段,层层穿透跨境犯罪伪装,全面厘清涉案犯罪网络,精准锁定目标人员。 为彻底捣毁犯罪链条,专案组跨区域连续作战,足迹覆盖全国17省37市,成功抓获一批曾藏匿于境外诈骗窝点、现已回流国内的涉案人员,有力震慑了跨境电信网络诈骗违法犯罪。 📱订阅:@hwhqc ⛔投稿:@gfcoo
#网友投稿 #西港娱乐城 #黑平台 西港娱乐城RMB台子说的是金山集团名下的三个大台子,打的PG,刚开始玩就玩的PG,昨天第一天玩,朋友介绍的之前几万十万的都可以提现。今天凌晨爆了一个超级巨奖,账户总资产为33W人民币约等于50000u,结果提现的时候告诉我我下款U地址风控 ,需要审核等24小时,中间也一直在催促,在刚才11月1号下午16时的时候,我的账号突然就被强制下线冻结了,然后客服要求我提供上述资料,就明显已经被黑了。 这个西港娱乐城完全就是输不起,前面我朋友赢了1/2万给我朋友正常出我才来玩的,后面看我赢多了直接把我找借口黑掉了。 📱订阅:@hwhqc ⛔投稿:@gfcoo
🇲🇾 吉隆坡警方突袭逮捕15名中国籍男女 吉隆坡警方今天凌晨1时50分展开突袭行动,搜查位于安邦路一奢华酒店的顶层复式公寓,破获一处地下非法扑克赌场。 警方当场逮捕16名嫌犯(年龄26至50岁),包括14名中国籍男子、1名中国籍女子及1名尼泊尔籍男子。 吉隆坡警察总长拿督法迪尔表示,该窝点采取邀请制,专门面向中国公民提供迷你赌场式娱乐。行动中查获扑克桌、赌码及现金等物证,所有嫌犯已被提审扣押。 📱订阅:@hwhqc ⛔投稿:@gfcoo
#网友曝光 这个广西畜生专门骗自己家里面的兄弟出来缅甸卖掉当猪仔。 两个月前,骗了自己家里面的两个兄弟卖到亚太黑园区 #御龙湾 上班;上个月也骗了两个到妙瓦底,说是安排好地方公司后勤下来接人,谁知道到了上车地点就直接被绑上车,强压到了兵站里面打了三天三夜,然后才卖到公司。 卖到公司且不说,在公司手机也被砸了,也要天天受折磨,天天扛水桶体罚。 而且去谈赔付也不给谈,想走那是更加不可能的,只要你说一个走字,就要去泡茶喝点五指山上的好茶叶。 前几天也安排了一个跟他同一个村的到三佛塔,现在都还失联没联系上。 本人也在里面,前几天才偷到的手机,所以不方便。以后了解到更多也会持续投稿曝光这个畜生。 有本事你就让他来反驳一句,反驳一句我就能推翻一次他的借口。 📱订阅:@hwhqc ⛔投稿:@gfcoo
现在女主播擦边卖货的方式越来越别出新意了,看得宅男们都想去摸一摸夹克的面料质感 PS:质感一看就不错 📱订阅:@hwhqc ⛔投稿:@gfcoo
#网友爆料:迪拜电诈重大洗钱犯罪份子 迪拜灰产行业中大大骗子 这个畜生是福建人的败类,真名 #刘志雄,外号:地主。 姘头叫 #林芳,前几年2个人招摇撞骗做通道在福建人圈子做老赖出了名的,住国际城空中别墅C98 D141日租房行骗,骗我朋友70万迪拉姆现金写了欠条至今一分钱没还,也是无数个明天,下个礼拜,去要债的时候拿刀挂脖子上威胁要自杀,楼上跳下去,2024年就已经被我朋友在CID挂上案件,他出不了门,被抓在迪拜牢底坐穿出不了境的! 📱订阅:@hwhqc ⛔投稿:@gfcoo
#网友求助 #币安 开始杀用户了❓我放着124万u,客服说先提供资金合法来源,后续才能提出来❓ 币安现在就是耍流氓,老子自己的真金白银给你放进去了,现在我要提币,你让我提供资金来源证明?币安我都用4年了。 我看客服那意思是,后续恢复提币了(今天晚上或者明天)如果不能提供资金来源证明,还不让提呢! 我不知道币安目前这个提币政策是对大额用户的,还是说全部?是不是账户钱多的,就会被要求提供?钱少的就没事? PS:少用交易所。。。 📱订阅:@hwhqc ⛔投稿:@gfcoo
分期买手机,163张身份证竟成“抵押品” 吴哥时报报道,近日,柬埔寨实居省警方在调查中发现,当地一家手机销售及分期付款商店违规收取顾客身份证原件作为债务担保,涉及身份证共163张。 据警方通报,涉事商店主要经营手机销售、维修及分期付款业务。警方在调查身份证件被用作债务担保的情况时,发现该店保存了大量顾客身份证原件。 警方介入后,店主主动配合调查,并交出了全部163张身份证原件。经核查,其中10张身份证已过有效期,另有40张身份证持有人的户籍所在地不在实居省。 警方强调,根据相关规定,公民身份证、户口簿及居住登记簿等重要证件的原件,不得作为债务担保或抵押物。民众如需提供身份证明,可使用经有关部门认证的复印件,切勿将证件原件交由商家保管。 警方提醒,身份证一旦落入他人手中,可能被冒用开设银行账户或从事其他违法活动,不仅会导致个人信息泄露,还可能使证件持有人卷入不必要的法律纠纷。 目前,警方已收回全部163张身份证原件,并…
Showing the 12 most recent of 464 posts we hold for @hwhqc. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@hwhqc named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 6 September 2026 – 7 September 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“海外华人大事件” (@hwhqc), 30,706 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/hwhqc.
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.