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Channel

大汉快讯

@DaHanKX

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

40,577subscribers

+7,856 since we began measuring on 18 August 2026

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

Register entry

Telegram ID-1001896828125
TypeChannel
Username@DaHanKX
Description聚焦热点,传递真相;一分钟了解天下事。 商务联系: @DaHankf
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 August 2026
Last confirmed live9 October 2026
Measurements held26
Confirmed unchanged1 time, most recently 9 October 2026
On Telegramt.me/DaHanKX

Topic

International 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 84% 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

30,38540,57735,48118 August 2026 — 32,721 subscribers18 August 2026 — 32,684 subscribers19 August 2026 — 32,636 subscribers20 August 2026 — 32,627 subscribers22 August 2026 — 32,574 subscribers23 August 2026 — 32,448 subscribers25 August 2026 — 32,387 subscribers26 August 2026 — 32,356 subscribers27 August 2026 — 32,260 subscribers28 August 2026 — 30,622 subscribers29 August 2026 — 30,597 subscribers30 August 2026 — 30,560 subscribers31 August 2026 — 30,526 subscribers1 September 2026 — 30,512 subscribers2 September 2026 — 30,385 subscribers3 September 2026 — 32,653 subscribers5 September 2026 — 31,145 subscribers9 September 2026 — 37,509 subscribers11 September 2026 — 33,792 subscribers13 September 2026 — 35,602 subscribers15 September 2026 — 37,843 subscribers17 September 2026 — 40,180 subscribers19 September 2026 — 40,046 subscribers26 September 2026 — 39,037 subscribers4 October 2026 — 39,152 subscribers9 October 2026 — 40,577 subscribers18 August 20269 October 2026
26 measurements spanning 52 days, net +7,856. 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 28,856–42,106 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
9 Oct 2026, 00:5640,577+1,425
4 Oct 2026, 14:1439,152+115
26 Sept 2026, 10:5639,037-1,009
19 Sept 2026, 15:2140,046-134
17 Sept 2026, 02:3740,180+2,337
15 Sept 2026, 05:1737,843+2,241
13 Sept 2026, 11:1735,602+1,810
11 Sept 2026, 16:4033,792-3,717
9 Sept 2026, 04:2037,509+6,364
5 Sept 2026, 21:0131,145-1,508
3 Sept 2026, 16:1732,653+2,268
2 Sept 2026, 07:0530,385-127
1 Sept 2026, 08:0730,512-14
31 Aug 2026, 06:0630,526-34
30 Aug 2026, 07:4730,560-37
29 Aug 2026, 07:5130,597-25
28 Aug 2026, 04:2830,622-1,638
27 Aug 2026, 06:0432,260-96
26 Aug 2026, 03:3832,356-31
25 Aug 2026, 03:1132,387first reading

Engagement

666 posts held, back to 17 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.74%
avg views ÷ 40,577 subscribers
Avg views / post
1,930
251 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
251
of 666 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 5 of 251 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 12 October 2026
Posts held666 (17 August 2026 – 12 October 2026)
Views total483,265
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 16:08 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
≈3,170
Videos
≈399
Links
≈20

Lifetime counters from Telegram’s own channel header, read 12 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
1h 43m
Average length
1m 10s

Measured directly from 89 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

11 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11100.0%

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 11 of the 666 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 666 most recent posts we hold, published 17 August 2026 to 12 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

12 Oct 2026, 12:14 UTC246 viewsread 12 October 2026
Photo

AI伪造视频和语音越来越真,“眼见为实”正在失效 迪拜警方近日发出警告,随着人工智能(AI)技术的发展,伪造视频和语音变得越来越难以辨别,由此带来的风险也在不断增加。 迪拜警方“未来前瞻中心”(Future Foresight Centre)的一项研究发现,飞速发展的“深度伪造”(deepfake)技术构成了多重威胁,影响着公共安全、信息可信度、数字证据的可靠性以及相关决策过程。 研究警告称,AI生成的内容与真实素材越来越难以区分,这使得经过篡改的视频、图像和音频更具欺骗性。犯罪分子可能利用这些技术更有效地冒充他人、窃取身份、欺骗公众并散布虚假信息。 这项研究恰逢每年10月的“网络安全意识月”,也是内政部“通过数字意识保障阿联酋安全”行动的一部分。

12 Oct 2026, 12:13 UTC247 viewsread 12 October 2026
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三博彩巨头违规被罚 赌管局开出27.5万新元罚单 根据新加坡赌博管制局2025/2026年度报告,“新加坡博彩公司”、“滨海湾金沙”及“圣淘沙名胜世界”因违反相关条例和执照条件,共计被罚款27.5万新元。 其中,新加坡博彩公司因漏查顾客禁赌状态、允许禁赌人员下注被罚10万新元;滨海湾金沙因违规向会员提供未经批准的博彩抽奖及促销活动,同样被罚10万新元;圣淘沙名胜世界则因未按批准方式执行赌场会员计划,被罚款7.5万新元。

12 Oct 2026, 12:13 UTC249 viewsread 12 October 2026
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拉合尔1NCCIA查处跨国信用卡盗刷诈骗呼叫中心,37人被捕】 10月10日下午,巴基斯坦国家网络犯罪调查局通报,执法人员在拉合尔Johar Town区查处一处非法呼叫中心,37名嫌疑人被捕,全部立案调查。 团伙冒充外国移动通信公司工作人员,骗取境外受害者信用卡资料,再利用相关信息进行未经授权的金融交易。 现场查获5台电脑、40台笔记本电脑、35部手机,并从电子设备中发现涉嫌诈骗的软件及数据。

12 Oct 2026, 02:08 UTC865 viewsread 12 October 2026
Video

#国内新闻 中国与老挝将于10月13日在云南边境举行第五次国防交流活动 10月10日下午,中国国防部宣布,中国与老挝将于10月13日在云南省西双版纳州勐腊县、磨憨口岸举行第五次边境国防友好交流活动。 此次活动主要围绕两国边境安全与军事合作展开,进一步加强中老两军之间的联系,共同维护边境地区的和平与稳定。

12 Oct 2026, 01:45 UTC881 viewsread 12 October 2026
Photo

西港查获假基站设备,一名中国籍男子被捕 10月9日下午,柬埔寨西哈努克省宪兵在明阳公寓(Ming Yang Condo)门前展开行动,抓获一名33岁中国籍男子 DENG CHENGHU。 警方怀疑,该男子涉嫌使用“假基站”(Fake BTS)设备干扰手机信号,并向民众手机发送短信。现场查获电源转换设备1台、天线2个、手机3部、护照1本及灰色丰田普锐斯轿车1辆。 目前,嫌疑人已被移送至西哈努克省宪兵司令部相关部门,案件正在依法进一步调查。

12 Oct 2026, 00:09 UTC979 viewsread 12 October 2026
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🇹🇭 一名中国通缉犯在泰国清迈被捕 昨天,泰国移民局第5分区警方向清迈市长康区一酒店采取行动,成功逮捕40岁中国籍男子孙浩(Sun Hao,音译)。 经查,孙浩持旅游签入境后曾延期为学生签,截至10月9日被捕时已逾期滞留62天。系统核查显示,他因涉及涉案金额逾2000万人民币(超1亿泰铢)的诈骗案被中国警方通缉并逃匿至清迈。目前,当地警方已将其移交清迈市警察局依法处理,并将启动遣返程序。

12 Oct 2026, 00:09 UTC980 viewsread 12 October 2026
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最高奖200万美元,专骗中国和柬埔寨人!29人租豪宅搞诈骗,全部被判刑 29名中国籍和柬埔寨籍男女,因涉嫌与一起跨国网络刮刮乐诈骗案有关,近日在马来西亚槟城出庭,承认逾期居留、非法入境等移民相关罪名,并被分别判处罚款4000至1万令吉。29名被告包括19名男子和10名女子,年龄从21岁到63岁不等。 根据当地媒体报道,他们在法庭宣读控状后,均当庭认罪。29人认罪,分别被罚4000至1万令吉其中7人因逾期居留被控,每人被罚款1万令吉;如果无力缴纳罚款,则须入狱5个月。 另外22人因未持有有效入境准证被控,每人被罚款4000令吉;如果无力缴纳罚款,则须入狱4个月。需要说明的是,此次判决针对的是逾期居留、未持有效入境准证等移民相关罪名,并非意味着29人均已被法院判定诈骗罪成立。 豪华洋房被改造成诈骗呼叫中心这起案件此前已引起当地警方关注。槟州总警长林光耿本月1日透露,警方商业罪案调查组于9月22日在槟岛西南县的3处地点展开突击…

12 Oct 2026, 00:08 UTC977 viewsread 12 October 2026
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一用户从CryptoBillis购买Ledger后80枚BTC全部被盗 10月9日消息,据Lookonchain监测,一名用户4个月前以约6.5万美元均价买入80枚BTC(约520万美元),一度浮盈138万美元。该用户约一周前从经销商CryptoBillis购买Ledger设备,并将全部80枚BTC存入其中,现已全部被盗。链上数据显示,该笔BTC于9月29日存入,10月9日被转至此前分析师标记的盗币地址。

12 Oct 2026, 00:08 UTC978 viewsread 12 October 2026
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Ledger被曝藏间谍模块,经销商CryptoBilis被要求停售 被指控,在向用户售卖植入间谍芯片的比特币硬件钱包经销商 CryptoBillis,被曝上半年,将该公司转让给了一位中国老哥,资料显示他名字叫 JIA MING,定位在黑龙江五常市。 而同一时间,居住在东京的 Karpelès,在日本亚马逊,从一位中国卖家,买的加密货币硬件钱包 Ledger 上。 拆解硬件后,发现了里面带有 LTE、eSIM、天线,可以远程读取用户存放比特币、以太坊的助记词私钥,这样用户在向其硬件钱包存放加密货币前,间谍芯片可在设备显示助记词时,截取屏幕内容并外传,从而拿到助记词私钥,最终将加密货币转移。 目前预计的被盗损失已超过 8600 万美元,涉及数百个钱包,包括比特币、以太坊等,由于很多被植入间谍芯片的设备,还在被用户激活和存放加密货币,这个损失可能还将进一步扩大。

12 Oct 2026, 00:07 UTC980 viewsread 12 October 2026
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亡人节期间游客涌入吴哥窟 10月10日上午,正值柬埔寨亡人节第14个持斋日,大批国内外游客来到暹粒吴哥窟参观游览,现场十分热闹。 亡人节期间,不少民众在前往寺庙祭拜、行善祈福之余,也选择到吴哥古迹区游玩。游客们参观古老寺庙,欣赏吴哥窟的建筑与历史文化,景区洋溢着浓厚的节日气氛。

12 Oct 2026, 00:05 UTC981 viewsread 12 October 2026
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突查外劳配额倒卖案,20人被扣,查获341本外国护照 10月9日报道:马来西亚移民局近日在雪兰莪州安邦地区的达鲁阿末拉扎里花园(Taman Datuk Ahmad Razali)展开特别执法行动,捣毁一个涉嫌滥用外籍劳工配额牟利的团伙,共扣留20人,并查获341本外国护照及6,700令吉现金。 据马来西亚移民局总监扎卡里亚·沙班介绍,此次行动于10月8日上午7时30分展开,由移民局情报与特别行动部门联合内陆税收局相关部门执行。被扣留人员年龄介于23岁至47岁之间 被扣留的20人包括2名涉嫌经营该业务的孟加拉籍男子、6名马来西亚籍女性员工,以及12名外国客户。其中,外国客户包括9名孟加拉籍男子和3名印尼籍女性。 执法人员现场查获: 孟加拉国护照:265本 印尼护照:63本 巴基斯坦护照:12本 印度护照:1本 现金:6,700令吉 初步调查显示,该团伙涉嫌采用所谓的“A到B”外劳配额操作模式:先由A公司申请外籍劳工配额,…

12 Oct 2026, 00:04 UTC983 viewsread 12 October 2026
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泰国继续追缴陈志关联资产 416项财产价值1.18亿泰铢 10月9日,泰国反洗钱办公室公布,针对陈志及其关联人员涉嫌诈骗、人口贩运、侵占财产和参与犯罪组织等案件,又查出416项关联资产,总价值约1.18亿泰铢 这批资产包括土地、车辆、名牌商品和银行存款。10月6日,泰国反洗钱机关已作出决定,将这批资产的相关资料移交检方,由检方向法院申请没收,最终收归国有 此前,泰国已对陈志关联案件中的96项资产采取扣押或冻结措施,价值约3.45亿泰铢,相关案件仍在民事法院审理

Showing the 12 most recent of 666 posts we hold for @DaHanKX. 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.

Mentions

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.

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 9 October 2026 — this entry's latest reading, not the date you are reading this.

“大汉快讯” (@DaHanKX), 40,577 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/DaHanKX.

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.