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Channel

《海峡时报》东南亚狗推快讯(曝光)📱‼️

@hxsbl

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

21,615subscribers

+10,557 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-1003218733885
TypeChannel
Username@hxsbl
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held49
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/hxsbl

Topic

Hacking & security — 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 57% 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.

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 4 other registered channels. They sit inside a group of 8 channels that share the same post bodies with each other. 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
@hxsbl/1900 · this entry7 Aug 2026, 06:14 UTC@haixiashibao1/38907 Aug 2026, 06:17 UTC1.002 minutes
@hxsbl/1901 · this entry7 Aug 2026, 06:14 UTC@haixiashibao1/38917 Aug 2026, 06:17 UTC1.002 minutes
@hxsbl/1905 · this entry7 Aug 2026, 06:14 UTC@haixiashibao1/38957 Aug 2026, 06:17 UTC1.002 minutes
@hxsbl/1908 · this entry7 Aug 2026, 06:14 UTC@haixiashibao1/38987 Aug 2026, 06:17 UTC1.002 minutes
@hxsbl/1910 · this entry7 Aug 2026, 06:14 UTC@haixiashibao1/39007 Aug 2026, 06:17 UTC1.002 minutes
@hxsbl/1913 · this entry7 Aug 2026, 06:17 UTC@haixiashibao1/39037 Aug 2026, 06:17 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@haixiashibao116 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (16–0)
@gtkx16 (6/6 hand-verifiable sample passed)1.0078 minutes@gtkx1 (6–0)
@bxc8885 (5/5 hand-verifiable sample passed)1.001.9 hoursthis entry (5–0)
@DNYXW0085 (5/5 hand-verifiable sample passed)1.001.9 hoursthis entry (5–0)

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 26 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 8, the earliest publisher we hold is @gtkx1. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 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 7 other registered channels, 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

11,05827,50719,282.57 August 2026 — 11,058 subscribers7 August 2026 — 11,058 subscribers19 August 2026 — 13,553 subscribers20 August 2026 — 13,549 subscribers21 August 2026 — 13,542 subscribers23 August 2026 — 13,530 subscribers24 August 2026 — 13,521 subscribers25 August 2026 — 16,026 subscribers26 August 2026 — 16,011 subscribers27 August 2026 — 16,003 subscribers28 August 2026 — 15,981 subscribers29 August 2026 — 18,489 subscribers30 August 2026 — 18,246 subscribers31 August 2026 — 18,057 subscribers1 September 2026 — 19,663 subscribers2 September 2026 — 19,498 subscribers3 September 2026 — 19,260 subscribers5 September 2026 — 18,837 subscribers9 September 2026 — 18,062 subscribers11 September 2026 — 22,653 subscribers13 September 2026 — 22,346 subscribers15 September 2026 — 22,080 subscribers17 September 2026 — 21,818 subscribers19 September 2026 — 22,122 subscribers26 September 2026 — 25,903 subscribers4 October 2026 — 26,059 subscribers9 October 2026 — 26,696 subscribers13 October 2026 — 25,360 subscribers14 October 2026 — 24,825 subscribers15 October 2026 — 24,659 subscribers16 October 2026 — 27,257 subscribers18 October 2026 — 26,860 subscribers19 October 2026 — 27,507 subscribers20 October 2026 — 26,991 subscribers21 October 2026 — 26,632 subscribers22 October 2026 — 26,184 subscribers23 October 2026 — 24,807 subscribers24 October 2026 — 24,164 subscribers25 October 2026 — 23,935 subscribers26 October 2026 — 23,321 subscribers27 October 2026 — 24,964 subscribers28 October 2026 — 24,582 subscribers29 October 2026 — 24,079 subscribers30 October 2026 — 23,233 subscribers31 October 2026 — 22,714 subscribers1 November 2026 — 22,383 subscribers2 November 2026 — 22,017 subscribers3 November 2026 — 21,951 subscribers4 November 2026 — 21,615 subscribers21,6157 August 20264 November 2026
49 measurements spanning 89 days, net +10,557. 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 8,591–29,974 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
4 Nov 2026, 08:1921,615-336
3 Nov 2026, 08:3621,951-66
2 Nov 2026, 06:0122,017-366
1 Nov 2026, 07:5922,383-331
31 Oct 2026, 10:4022,714-519
30 Oct 2026, 10:5623,233-846
29 Oct 2026, 09:5424,079-503
28 Oct 2026, 11:5724,582-382
27 Oct 2026, 12:3924,964+1,643
26 Oct 2026, 11:0723,321-614
25 Oct 2026, 14:3523,935-229
24 Oct 2026, 15:5124,164-643
23 Oct 2026, 15:3124,807-1,377
22 Oct 2026, 14:4126,184-448
21 Oct 2026, 11:1526,632-359
20 Oct 2026, 06:3126,991-516
19 Oct 2026, 03:1527,507+647
18 Oct 2026, 01:3726,860-397
16 Oct 2026, 23:0627,257+2,598
15 Oct 2026, 19:3724,659first reading

Engagement

507 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 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.04%
avg views ÷ 21,615 subscribers
Avg views / post
8.6
249 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
249
of 507 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 2 of 249 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 26 October 2026
Posts held507 (7 August 2026 – 26 October 2026)
Views total2,146
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 02:33 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

Video runtime
1h 25m
Average length
1m 38s

Measured directly from 52 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 2 of the 507 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 507 most recent posts we hold, published 7 August 2026 to 26 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

26 Oct 2026, 13:05 UTC40 viewsread 4 November 2026
Video

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26 Oct 2026, 13:01 UTC21 viewsread 4 November 2026
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26 Oct 2026, 13:01 UTC20 viewsread 4 November 2026

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26 Oct 2026, 13:01 UTC20 viewsread 4 November 2026

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26 Oct 2026, 13:01 UTC19 viewsread 4 November 2026

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26 Oct 2026, 13:00 UTC8 viewsread 4 November 2026
Video

#网友投稿:持柬埔寨签证入境泰国必须保关? 马来西亚中介渲染刷签容易被遣返,泰国中介则鼓吹入境一定要保关,都是在放大恐慌、制造紧张感,以此收割中介费。 我持柬埔寨商务签,护照上贴满了白色贴纸签证,足足有两页。上个月,我从吉隆坡飞往甲米入境泰国,排队轮到我时,已经是最后一个。 海关没有扣留我,只检查了返程机票和酒店订单。看到我护照上的柬埔寨签证贴纸后,询问我在柬埔寨做什么。我如实告知自己在当地工作,并出示了相关工作照片,随后顺利放行。当时,海关还在签证和贴纸的上角各画了一道小横线,我一度以为这是预警记号,还担心以后再来泰国都得找保关才能入境。 这次飞泰国之前,我刷到很多网上的负面消息,身边朋友也都说,拿着柬埔寨签证入境泰国必须保关。我仔细想了想,自己有返程机票、酒店订单,也有在柬埔寨工作的证明材料,本来就没有无故被遣返的理由。但出发前,我还是做好了心理准备,不确定海关会不会专门盘查持有柬埔寨签证的人。 没想到,这次入境顺…

26 Oct 2026, 13:00 UTC7 viewsread 4 November 2026
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#亚博集团 #爱体育 #黑平台曝光 我在亚博的爱体育正常投注体育项目,但出款迟迟不到账。平台先让我提供证件,提交完后又称我违规投注,直接把款项扣了。 几万块都要黑,现在亚博都这么穷了吗?现在是单纯的杀猪台了呗?让平台提供违规证据也不提供,什么都没有,就说我套利,真是傻逼风控。抓紧给我出款! 我上班的时候,7.2的汇率我忍了。现在我赌钱也黑我,没钱你开你妈的台子!还号称什么行业龙头,行业狗屁!纯纯的杀猪台! 涉及人员及场地信息如下: 风控总监:Firm 风控经理:Angang、Bagel 风控主管:Hellfire、Tankard、兰博、Frieza 组长:Diudiu、xiaozhi、hedes 迪拜场地:bb4、bb11、bb6,TC的。 在兰卡的,我拿你们没办法;在迪拜打野,我还拿你们没办法吗? 48小时内如果还不出款,我就曝光上面所有人的护照,谁都别想好过! 我会直接联系迪拜警方,让警方介入调查。我…

26 Oct 2026, 13:00 UTC7 viewsread 4 November 2026
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#泰国新闻 【乌泰他尼府查获12根走私红木,两名嫌疑人被捕】 2026年 10月26日消息,泰国自然资源与环境部在乌泰他尼府开展非法木材专项稽查,执法人员拦截一辆可疑十轮卡车,在车上查获12根野生红木,当场扣押木材与涉案车辆,抓获两名嫌疑人。 自然资源与环境部长素察・春克林表示,当局持续严厉打击盗伐林木、非法交易红木的行为,要求执法流程规范透明,斩断采伐、运输、销售整条非法产业链。 目前警方正扩线深挖,追查这批红木的源头、幕后主使以及其他涉案人员,对案件全链条侦办。

26 Oct 2026, 13:00 UTC6 viewsread 4 November 2026
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#老挝新闻 社会各界共同参与,打击和整治网络犯罪及网络赌博 2026年1月至9月16日,万象首都共捣毁和查处网络犯罪活动窝点153起,抓获犯罪嫌疑人10,651人,涉及31个国籍,包括老挝、中国、越南、泰国、缅甸、俄罗斯、巴西、埃塞俄比亚、乌干达、卢旺达等国家。 其中,有4起重大案件引起了社会广泛关注,充分体现了打击和整治网络犯罪、网络赌博(诈骗园区、网络诈骗团伙)以及开展枪支收缴工作的成效,为维护社会安宁稳定发挥了积极作用。 这4起重大案件包括: 第一,警方突击捣毁位于哈赛丰县(Hadxaifong)的ST Vegas大楼内的犯罪团伙,共抓获589人,并查获电脑设备及手机等物品超过10,000件。 第二,警方突击搜查位于赛色塔县(Xaysettha)塔銮湖经济特区内的一栋建筑,成功捣毁一个跨国犯罪团伙,抓获261名中国籍和越南籍人员。 第三,警方在万象首都同时对6个主要地点开展联合行动,查获3,300多部用于实施网…

26 Oct 2026, 13:00 UTC5 viewsread 4 November 2026
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#网友爆料 #妙瓦底 #梅拉园区 #汇金集团 缅甸妙瓦底梅拉园区有一家叫“汇金集团”的公司,老大叫侯哥,总监叫林泽,团长叫16,人事叫金水。 就是他们把我弟弟阿磊从国内骗到了园区,每天逼他工作16到18个小时,不愿意干就打人。就算交了赔付,也照样把人卖掉。 我们家人已经报警,所有录音和视频证据也都提交了。等着吧。

Showing the 12 most recent of 507 posts we hold for @hxsbl. 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 27 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

海外素材库#日常生活#美食#豪车 taotu renshe
@sucai398 · 33,648
34 posts
發素材大全
@fasucai · 11,169
6 posts
☀️【佳佳】生活素材馆☀️
@sucai_taotu1 · 10,945
6 posts
教授🌙深夜小电影
@sanji_av888 · 10,692
5 posts
【海外】素材大全👑
@sucai_c8 · 14,865
5 posts
🇲🇾马来西亚素材
@sucai_quanqiu1 · 14,950
5 posts
精聊【话术馆】海外素材
@huashuii8 · 11,763
3 posts
🇺🇸美国素材
@meiguosucaiis · 11,064
2 posts
🇷🇺俄罗斯素材【@dingzhi926小萌】
@sucai_quanqiu12 · 8,916
2 posts
🇳🇿澳大利亚素材【@dingzhi926小萌】
@sucai_quanqiu14 · 12,062
2 posts
🇯🇵日本素材
@sucai_quanqiu3 · 10,508
2 posts
🇹🇼台湾素材
@sucai_quanqiu4 · 11,372
2 posts
🇬🇧英国素材
@sucai_quanqiu6 · 9,948
2 posts
🇨🇳中国素材
@sucai_quanqiu7 · 12,394
2 posts
【香港素材】香港美食-日常生活-素材
@sucaixiaomeng888 · 11,488
2 posts
海外话术素材
@huashui66 · 3,132
1 post
🇹🇭泰国素材【@dingzhi926小萌】
@sucai_quanqiu11 · 8,775
1 post
【广州素材】广州美食-日常生活-素材
@sucaikk1 · 137
1 post
【澳门素材】澳门美食-日常生活-素材
@sucaikk2 · 1,822
1 post
【德国素材】德国美食-日常生活-素材
@sucaikk3 · 1,234
1 post
【越南素材】越南美食-日常生活-素材
@sucaikk4 · 1,184
1 post
【巴西素材】巴西美食-日常生活-素材
@sucaikk5 · 982
1 post
【土耳其素材】土耳其美食-日常生活-素材
@sucaikk6 · 1,537
1 post
【柬埔寨素材】柬埔寨美食-日常生活-素材
@sucaikk7 · 1,502
1 post

Names

Channels on the register whose handles appear in this channel's posts.

007chat官方通知频道(小颖🌸) Chat007_guanfang chat007kefu Chat007com
@Chatu007_guanfang · 6,570
64 posts
KingWorld翻译软件/计数器📣📣 kingWorld077 kingWorld07
@kingWorld0779 · 10,178
50 posts
✨绘图大师官方频道✨P图软件✨@huitu_zuantu
@huitudashi5VIP · 11,439
33 posts
海外素材库#日常生活#美食#豪车 taotu renshe
@sucai398 · 33,648
33 posts
套图【亚洲女】taotu sucai
@taotuio1 · 4,370
33 posts
套图【亚洲男】taotu sucai
@taotuio2 · 5,306
33 posts
套图【欧洲女】taotu sucai
@taotuio3 · 3,992
33 posts
套图【欧洲男】taotu sucai
@taotuio4 · 4,645
33 posts
套图【证件女】taotu sucai
@taotuio6 · 3,296
33 posts
套图【证件男】taotu sucai
@taotukc · 2,158
33 posts
套图【水蜜桃】taotu sucai
@taotukt · 1,817
33 posts
译达通【edatone】聚合聊天翻译 | 谷歌翻译 | AI智能翻译 | deepl翻译|【官方频道】
@edt_edatone · 807
31 posts
🇨🇳中国素材
@sucai_quanqiu7 · 12,394
31 posts
人设套图【亚洲女】
@taotuvip1 · 3,025
31 posts
旺财作图官方频道-作图选旺财,专业包发财💰
@wc1366666 · 1,124
31 posts
✨绘图大师官方频道✨P图软件✨@huitu_zuantu
@zuantuvi · 13,098
31 posts
三国演义官方频道
@SGYY01_id · 13,004
29 posts
【PS专区 】2345/8989/旺财作图/三国演义/绘图大师/图册
@ps8989ktw · 1,212
28 posts
【图册New】全新图册|网银作图|2345看图王|5678旺财|图册New官方频道
@tuceinew · 15,916
24 posts
高防CDN SDK 高防IP知识储备
@cloudbays_fwp · 66
13 posts
【大掌柜】地区贷款数据市场 @dzgI999
@dazhangguii999 · 5,455
13 posts
☎️闪电轰炸机 ☎️电话轰炸☎️ 短信轰炸 ☎️手机轰炸 ☎️电话闹钟 ☎️轰炸机
@hongzha_c8 · 4,673
13 posts
精聊【话术馆】海外素材
@huashuii8 · 11,763
13 posts
91麻豆av国产网红短视频
@madou_91av · 9,736
13 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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“《海峡时报》东南亚狗推快讯(曝光)📱‼️” (@hxsbl), 21,615 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/hxsbl.

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.