Channel
@vhhhh
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
218,185subscribers
-6,592 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002062055062 |
|---|---|
| Type | Channel |
| Usernames | @hwbg8 @vhhhh |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/vhhhh |
Gambling & betting — 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 55% 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, 15:06 | 218,185 | +31 |
| 12 Aug 2026, 10:02 | 218,154 | -51 |
| 11 Aug 2026, 18:26 | 218,205 | -86 |
| 10 Aug 2026, 21:21 | 218,291 | -71 |
| 10 Aug 2026, 00:01 | 218,362 | -6,422 |
| 8 Aug 2026, 21:50 | 224,784 | +6 |
| 8 Aug 2026, 00:15 | 224,778 | -10 |
| 7 Aug 2026, 00:50 | 224,788 | +11 |
| 6 Aug 2026, 22:02 | 224,777 | first reading |
146 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 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 120 of 146 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 | 146 (6 August 2026 – 12 August 2026) |
| Views total | 1,658,701 |
| Reactions total | 7,811 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 10:02 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 32 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.
7,811 reactions across 120 posts, in 12 distinct kinds. The most used accounts for 11.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 894 | 11.4% | |
| 👍 | 884 | 11.3% | |
| ❤ | 881 | 11.3% | |
| 💯 | 879 | 11.3% | |
| ❤🔥 | 873 | 11.2% | |
| 😍 | 862 | 11.0% | |
| 🥰 | 853 | 10.9% | |
| 🔥 | 837 | 10.7% | |
| 🤩 | 834 | 10.7% | |
| ⚡ | 5 | 0.064% | |
| 😁 | 5 | 0.064% | |
| 👏 | 4 | 0.051% |
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 120 of the 146 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 7,811reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 146 most recent posts we hold, published 6 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.
#白梳监狱长再辟谣 金边白梳监狱长努索瓦那近日驳斥了狱内允许手机、毒品等使用的传闻。他指责网传谣言玷污其名誉，并晒出任监狱长1年9个月以来查获的违禁品清单，感谢社会各界的信任。 网友调侃：既然查出了这么多违禁品，说明这些东西确实被带进去了。责任可推给前任，毕竟此前该监狱允许犯人开包厢打K。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
❤1👏1🥰1
#群友曝光 #御龙湾公司6排5栋6栋 该公司裁员频繁：今年1-2月裁一批，4月招新人，近期又裁三分之二。每次裁员均无理由，循环往复。 主管多为福建人，不务正业，专搞下属。高管“果果”（中国女性，身材矮小）去年入职，独揽大权，乱搞管理。公司业绩下滑，她只知扣钱，未提改善方案。 近期乱罚款：打瞌睡或出单慢，罚款至少2000元人民币。 去年混乱时，管理层画饼安抚员工留守园区，甚至诱导部分人去柬埔寨，结果未订机票，员工滞留仰光数日后被迫返回园区。 承诺过年发福利未兑现，红包金额减半。 预计下月将再次招聘。求职者警惕：入职前待遇优厚，入职后公司变天，待遇全无，工资被降，规章制度照搬其前公司，疑似中饱私囊。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
❤1👍1
#华裔加密货币大亨从30楼离奇坠亡 #遗体全裸盖黑色塑料袋 华裔加密货币投资者Harry Chun Tak Yeh（叶俊德）日前在巴拉圭从豪华公寓30楼坠亡。 其遗体被发现时全身赤裸，盖着黑色塑料袋，30楼公寓房门大开，屋内一片狼藉。 警方确认叶俊德在同一栋大楼27楼拥有另一套公寓。警方询问了其伴侣、29岁的巴西籍女子Isadora，她称对事发经过不知情。 叶俊德出生于中国香港，童年移居加拿大，常被称为加拿大籍华人加密货币投资者。2013年比特币价格为60美元时，他入市抄底，积累巨额财富。其官网称，他及合作伙伴管理的资产超过20亿美元。 Ps：这哥们是当年 FTM 上的大野庄AC 的最后一舞就是跟他一起组的局 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
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#混迹于NFT圈子的女包养妈咪这次摊上事了！ 最近不少人在背后说包养圈听风就是雨，为了流量凭风捏造！现在啪啪大脸哎。 PS：你可以搞钱 也可以搞男人 但是不能搞男人的💰 而且还是搞公职人员。 这罪名就大了。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
⚡1❤1🎉1
#泰国出现新型诈骗 23岁女大学生因经济压力，轻信网上自称“有钱老板”者，对方称仅视频聊天解闷、不需见面，并愿资助生活费与学费。女生认为“不见面较安全”遂视频通话，对方诱导其做私密动作后，谎称付款随即挂断并拉黑。两天后，视频被偷拍并上传至网络及“秘密群组”，未打码且附带个人资料与赌博链接。疑似另有10多名受害者（含学生、名校生及艺人）遭同样套路。相关机构已联系泰国网警追查。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
Photo, posted without a caption
#柬埔寨资讯 #柴桢省警方打击网络诈骗逮捕6人并查获设备 8月11日，柴桢省警方奉萨尔·特上将及彭·波萨省长指示，捣毁木牌塔波夫村一处诈骗窝点，逮捕6名嫌疑人（含1名越南籍女子），查获电脑、手机等设备。案件已移交柴桢省法院，涉案地点已被封锁以继续调查。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
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#缅甸新闻 #克伦邦再曝69英亩新诈骗园区 #关联克伦民族军首领之子 缅甸媒体8月10日发布调查，在克伦邦帕因觉镇一带发现一处新建诈骗园区，位置在梅拉瓦迪新村约1英里外，占地超过69英亩。 调查人员将现场视频和卫星影像进行比对，园区位置、建筑布局等特征基本吻合。卫星记录显示，这片区域从2025年12月开始大规模施工，与今年1月曝光的玉龙湾园区并非同一处。 调查显示，这处园区与克伦民族军首领索奇督的儿子索奇奇有关。索奇奇现任克伦民族军第999战术指挥部副指挥官。 一名前工作人员提供的信息显示，园区使用星链卫星网络和发电机维持运作，内部开展针对美国人的网络诈骗业务，工作人员外出受到限制。 今年1月曝光的玉龙湾园区位于妙瓦底一带，早在2020年就开始建设，当时关联的是索奇督另一名儿子索图埃穆。此次新园区的地点、建设时间和关联人物均不相同。 美国财政部此前已对克伦民族军、索奇督以及他的两个儿子索图埃穆和索奇奇实施制裁。相关制…
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#印尼新闻 #三宝垄遣返4名中国通缉人员 #涉跨国恋爱诈骗查获604部手机 8月5日，印尼三宝垄移民部门公布跨国网络诈骗案结果：4名中国通缉犯于8月4日遣返。 涉案4人（HJ，40岁；HK，44岁；HY，44岁；TW，37岁）及2名印尼人（DS、E，均26岁）于6月4日晚被捕。现场查获604部手机、11台笔记本、10台一体机等设备及数百张SIM卡。 4名中国公民涉嫌利用虚假身份实施跨国“恋爱诈骗”，受害者多在境外。经核实为中方通缉人员，8月3日启动遣返，8月4日移交中方并禁止其再次入境。 案件于6月4日查处，8月4日完成移交，程序终结。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
#柬埔寨9月举办国际打击电诈大会FBI或将参加 柬埔寨将于9月23日至24日在金边主办“2026年打击网络诈骗国际会议”，联合多国政府、国际组织及执法机构切断跨国诈骗链条。新闻部发言人称，此举彰显柬国跨国合作决心。总理洪玛奈表示，预计FBI及多国代表将参会，深化信息共享与联合执法。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
🎉1
#干拉省桑波布恩市统一行政指挥部突击查处一处涉嫌网络诈骗窝点 行动地点位于芝莱通村一栋4层出租楼（共140间房），现场查获67名外国人（含12名女性）、1名柬埔寨女性，共68人。警方缴获19台笔记本电脑、18部手机、1台iPad及1个硬盘。目前68人已被带走调查：63名外国人移交移民总局拟驱逐出境，4名外国人将依法追责。当地政府表示将持续打击此类犯罪。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
🎉3🤩2🔥1🥰1
#网友投稿 #红通人员丁勇长期藏匿泰国 设虚假U币资金盘诈骗，多名女性控诉其偷拍证件、暴力伤人，遇之务必远离并报警。丁勇滞留泰国，谎称可兑付U币，伪造网页诱骗资金无法提现。受害者指控其潜入室内偷拍、私取护照证件，抢夺撕毁身份证，并涉嫌嫖娼赖账、殴打及掐颈女性，人身危险性极高。若在泰国发现丁勇，请保持距离，勿单独接触，妥善保管证件，并立即向当地及国内警方报案。 🌐出海导航 @xrqqqq 📣投稿招商 @jjj91
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Showing the 12 most recent of 146 posts we hold for @vhhhh. 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.
Citation-graph rank — 576,177 of 1,084,084entries 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 2 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.
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.
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 11 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 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“海外曝光吧（全球新闻事件）@VHHHH” (@vhhhh), 218,185 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vhhhh.
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.