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Channel

香港新聞大事件

@HKDSJ0

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

24,577subscribers

-1,223 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002341416103
TypeChannel
Username@HKDSJ0
Description香港新聞大事件立足Hong Kong,面向世界,依托本地新聞的品牌及資訊 ... 📮投稿爆料合作聯系 @XLJ05 #中西區 #東區 #南區 #灣仔區 #九龍城區 #觀塘區 #深水埗區 #黃大仙區 #油尖旺區 #離島區 #葵青區 #北區 #西貢區 #沙田區 #大埔區 #荃灣區 #屯門區 #元朗區
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/HKDSJ0

Topic

National news — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@HKDSJ0/8404 · this entry7 Aug 2026, 10:30 UTC@riben001/164367 Aug 2026, 10:30 UTC1.00under a minute
@HKDSJ0/8406 · this entry7 Aug 2026, 10:43 UTC@riben001/164387 Aug 2026, 10:43 UTC1.00under a minute
@HKDSJ0/8408 · this entry7 Aug 2026, 11:14 UTC@riben001/164397 Aug 2026, 11:14 UTC1.00under a minute
@HKDSJ0/8409 · this entry7 Aug 2026, 11:50 UTC@riben001/164407 Aug 2026, 11:50 UTC1.00under a minute
@HKDSJ0/8412 · this entry7 Aug 2026, 13:10 UTC@riben001/164427 Aug 2026, 13:10 UTC1.00under a minute
@HKDSJ0/8418 · this entry7 Aug 2026, 14:39 UTC@riben001/164487 Aug 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@riben0016 (6/6 hand-verifiable sample passed)1.00under a minute@riben001 (6–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 6 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @riben001. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

24,57725,80725,1927 August 2026 — 25,800 subscribers7 August 2026 — 25,807 subscribers8 August 2026 — 25,805 subscribers9 August 2026 — 25,771 subscribers10 August 2026 — 25,740 subscribers11 August 2026 — 25,722 subscribers12 August 2026 — 25,712 subscribers14 August 2026 — 25,621 subscribers15 August 2026 — 25,605 subscribers17 August 2026 — 25,579 subscribers18 August 2026 — 25,493 subscribers19 August 2026 — 25,461 subscribers20 August 2026 — 25,465 subscribers21 August 2026 — 25,448 subscribers23 August 2026 — 25,421 subscribers24 August 2026 — 25,383 subscribers26 August 2026 — 25,318 subscribers27 August 2026 — 25,307 subscribers28 August 2026 — 25,286 subscribers29 August 2026 — 25,274 subscribers30 August 2026 — 25,219 subscribers31 August 2026 — 25,170 subscribers1 September 2026 — 25,105 subscribers2 September 2026 — 25,077 subscribers3 September 2026 — 25,046 subscribers5 September 2026 — 25,013 subscribers8 September 2026 — 24,947 subscribers11 September 2026 — 24,902 subscribers13 September 2026 — 24,851 subscribers14 September 2026 — 24,820 subscribers16 September 2026 — 24,782 subscribers18 September 2026 — 24,719 subscribers25 September 2026 — 24,577 subscribers7 August 202625 September 2026
33 measurements spanning 49 days, net -1,223. 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 24,393–25,992 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 07:2124,577-142
18 Sept 2026, 20:1724,719-63
16 Sept 2026, 08:2024,782-38
14 Sept 2026, 16:1624,820-31
13 Sept 2026, 03:5624,851-51
11 Sept 2026, 08:2124,902-45
8 Sept 2026, 10:4024,947-66
5 Sept 2026, 04:0025,013-33
3 Sept 2026, 10:4625,046-31
2 Sept 2026, 05:5325,077-28
1 Sept 2026, 07:1525,105-65
31 Aug 2026, 05:5425,170-49
30 Aug 2026, 03:3725,219-55
29 Aug 2026, 00:1225,274-12
28 Aug 2026, 01:4725,286-21
27 Aug 2026, 04:1425,307-11
26 Aug 2026, 01:2825,318-65
24 Aug 2026, 22:2925,383-38
23 Aug 2026, 07:1625,421-27
21 Aug 2026, 21:5425,448first reading

Engagement

970 posts held, back to 7 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 66 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.9%
avg views ÷ 24,577 subscribers
Avg views / post
2,680
219 posts measured
Reaction rate
0.023%
reactions ÷ views · ER floor
Posts in window
219
of 970 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 6 of 219 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 held970 (7 August 2026 – 1 October 2026)
Views total587,540
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 06:34 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
≈8,670
Videos
≈1,750
Links
≈1,180

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
2h 22m
Average length
55s

Measured directly from 155 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

7 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤342.9%
🔥228.6%
👏114.3%
🤩114.3%

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 7 of the 970 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 970 most recent posts we hold, published 7 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, 06:32 UTC1 viewsread 1 October 2026
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国际刑警组织第94届全体大会将于香港举行 国际刑警组织(INTERPOL)第94届全体大会将于2026年11月30日至12月3日在中国香港举行。这是国际刑警组织年度最高层级会议之一,预计将有来自全球196个成员国的警察首长、部长及高级执法官员参会,人数超过1000人。 国际刑警组织总部位于法国里昂,目前拥有196个成员国。各成员国通过国家中心局(NCB)与国际刑警组织网络开展警务信息共享和国际合作。国际刑警组织并不是拥有独立跨国执法权的“世界警察”,具体抓捕、调查和司法程序仍由相关国家依据本国法律实施。 本次大会的主要议题包括:打击跨国有组织犯罪、加强逃犯调查与国际追逃合作、发展新的警务能力、应对人工智能相关犯罪和恐怖主义,以及加强对刑事案件未成年受害者的保护。同时,大会还将讨论国际刑警组织的战略框架、活动计划及预算等事项。 值得关注的是,“银色通报”(Silver Notice)试点项目也将成为本次大会的重要议题之一。…

1 Oct 2026, 06:32 UTC1 viewsread 1 October 2026
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#群友反馈:金边太子寰宇早上八点多就有人跳了 人都摔变形了,现在还在那边静静躺着,打电话都叫不醒。

1 Oct 2026, 06:31 UTC1 viewsread 1 October 2026
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#金港高速:近日一段显示金港高速公路上有人故意横放长铁条的视频公开发布后,引发舆论广泛关注。柬埔寨公共工程与运输部发言人呼吁执法人员迅速将肇事者绳之以法。 据悉,这起事件发生于9月28日晚,地点位于西港至金边方向K54公里路段。监控录像显示,该人员在超车道上扛着铁条步行,随后将铁条插横在路面上,对过往车辆造成严重隐患。 目前,运营公司已将嫌疑人监控画像移交警方,并协助受害车主完成报案,警方正全面追缉嫌疑人。 Ps:有些人是坏到骨子里的,天生坏种。

1 Oct 2026, 04:52 UTC≈2,050 viewsread 1 October 2026
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#网友投稿 我在币安损失千万资产,一个币安交易所投资的受害者! 我叫张某,今年30岁,前菲律宾POGO员工。2023年小马上台后就离开菲律宾了,回国后一度挥金如土,实在无聊就开始玩起了加密货币,最初只是小额试水,投入几万元买了比特币和以太坊。看着账户数字不断上涨,我逐渐放松警惕,陆续将多年积蓄、房贷之外的闲钱,甚至向亲友借款,全部转入平台。 最高时,账户资产一度接近千万。 那段时间,我几乎每天盯盘,跟着行情追涨杀跌。平台界面简洁、交易流畅,加上杠杆功能方便,让我误以为这是一条快速实现财务自由的捷径。2025年牛市中,我确实赚到过一些利润,信心也膨胀到顶点。然而好景不长,市场急转直下。 先是剧烈波动,随后持续阴跌。我不但没有及时止损,反而在恐慌和贪婪交织中不断加杠杆、补仓,试图“摊平成本”。结果资产像雪崩一样缩水,短短数月间,千万级别的资金几乎亏光。 看着账户从高点跌到只剩零头,我整个人都垮了。白天无法正常工作,晚上彻夜难…

1 Oct 2026, 04:35 UTC≈7,440 viewsread 1 October 2026
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#採訪手記 啟德保安鎖門趕記者走 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

1 Oct 2026, 04:25 UTC≈6,550 viewsread 1 October 2026
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#网友投稿 这下真回不去了 九月二十号在国内帮我公司到客户那边取现的一个人当场被警察钓鱼抓了。这是我们第二次安排不同的人去这个国内客户那边取现,这个客户应该是发现了自己被杀猪盘骗了再报警,联合警察设计假装配合在拿现金给取现手的时候抓的人。 目前在国内为诈骗公司做取现手的被抓本来不是什么大事到处都有,但这个客户全程是我在国外远程遥控安排人对接取现的。当时取现手被抓的时候我根本不知道,途中我还一直在和取现手保持联系,和我联系的这个取现手的手机在我不知的情况下已经变成了警察在用,事情揭发后我才知道后面和我联系的取现手一直都是警察假扮的。 警察就是想把我和我的公司信息钓出来再一网打尽,我当时还以为取现手安全拿到了钱,在我安排接下来让取现手把钱再怎么交接的时候出了个插曲。取现手说要和我打个语音电话确认下不然不放心把钱再做交接,我怎么说都没用取现手就是要打语音,我当时也是急了没想太多就打过去问什么情况。没想到对方开门见山回答我说是警察,…

1 Oct 2026, 04:25 UTC≈6,080 viewsread 1 October 2026
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#群友投稿:我们生下来就是来吃苦的吗? 来到东南亚以后,越来越多人开始问自己:我吃不了学习的苦,也吃不了生活的苦,可我为什么一定要吃苦?从小到大,父母总告诉我们:“年轻人就应该吃苦。”“吃得苦中苦,方为人上人。”可后来才发现,吃苦和成功之间,好像从来没有画上等号。 工地上的老哥不辛苦吗?一天十几个小时干活,一干就是几十年,省吃俭用、起早贪黑,最后真的就过上了自己想要的生活吗?跑外卖的呢?一天十几个小时在路上,风吹日晒,忙到凌晨,换来的也不过是一笔勉强够生活的钱。 再看看东南亚这些每天坐在电脑前的狗推,白天黑夜颠倒,业绩压在头上,主管盯着、客户骂着、工资还不知道什么时候能拿到。每天工作十几个小时,到最后才发现,自己拼命活着,好像只是为了继续活下去。 所以,父辈口中的“吃苦”,到底有什么意义?如果吃苦只是为了让自己不断忍耐,那我们为什么不能换一种活法? 人生不是一定要证明自己有多能吃苦。 梅花也许经历寒冬才会开放,但人不是…

1 Oct 2026, 04:17 UTC≈4,370 viewsread 1 October 2026
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#舔狗日记 从柬埔寨到越南,我在这里遇到想结婚的女人 因为柬埔寨这两年一直在严打网络诈骗和相关违法活动,我们公司最后决定搬离柬埔寨,把业务转到了越南。 我是做博彩行业的,原本只是把这次搬迁当成一次工作上的调整,没想到来到越南以后,我的人生却发生了最大的变化。 刚到越南的时候,我什么都不熟悉。语言不通,生活习惯也不一样,每天除了工作就是回住处,日子过得很简单。 后来有一次,我去公司附近的一家咖啡店喝咖啡,认识了在那里工作的一个越南女孩。 她没有什么特别的背景,就是一个普通的咖啡店员工。 第一次认识她的时候,她只是很自然地跟我聊天,笑起来很好看,也没有因为我是外国人就刻意讨好我。 后来我经常去那家咖啡店。 从一开始的“喝杯咖啡”,慢慢变成了“想见她”。 我们开始聊天、吃饭、一起出去走走。她会关心我工作累不累,也会在我心情不好的时候陪我聊天。 让我真正感动的是,她从来没有因为我是外国人就不停向我要钱,也没有把我当成…

1 Oct 2026, 02:31 UTC≈5,200 viewsread 1 October 2026
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#東盟盃 球迷組織「波台黐線佬」旗幟重現啟德 感謝足總爭極力爭取 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

30 Sept 2026, 16:53 UTC≈3,040 viewsread 1 October 2026
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#東盟盃 陳肇鈞啟德入波感震撼 盼年輕球員視作目標 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

30 Sept 2026, 15:38 UTC≈4,110 viewsread 1 October 2026
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#東盟盃 港足小勝汶萊周六爭冠 盧比度不滿表現:埋門一腳很差 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

30 Sept 2026, 15:37 UTC≈4,270 viewsread 1 October 2026
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#网友提醒 我在马来西亚这么多年,自己也碰到过不少专门针对中国人的骗局。准备来马来西亚的话,这几种常见套路一定要留个心眼。 第一,刚落地机场时,不要轻易相信主动上来搭话的人,尤其是突然很着急地跟你说钱包丢了、让你帮忙转账之类的。有些人会装成游客,专门找刚落地的中国人下手。 第二,逛商场时,如果遇到戴着名表、看起来很像成功人士的人,说自己在云顶输了几十万、上百万,没钱回家,想找你借钱,还递名片说自己是什么总经理、CEO,承诺第二天让公司双倍还给你,这种话不要轻信。我自己就碰到过很多次,这种看起来很假的话术,确实还是会有人上当。 第三,要小心主动搭讪的陌生人。有人可能会提醒你“鞋带开了”之类的,故意转移你的注意力,等你反应过来,东西可能已经不见了。还有一种套路,会让你帮忙拍照,对方看起来像中东人,说自己从迪拜过来,还给你看全家福和身上的美金,再问你人民币长什么样。一旦你相信,把钱包拿出来,转眼人和钱可能都没了。 出去旅游,消…

Showing the 12 most recent of 970 posts we hold for @HKDSJ0. 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 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.

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

“香港新聞大事件” (@HKDSJ0), 24,577 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/HKDSJ0.

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.