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Channel

新闻热点速报-东南亚-全球

@gj912

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

12,548subscribers

+2,557 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002686044445
TypeChannel
Username@gj912
Description本频道专注海外新闻与国际新闻,持续追踪全球重要事件与地区局势变化。 信息来源于主流国际媒体及公开渠道,仅做新闻整理与信息传递。 频道原则: • 以公开信息为来源 • 快速更新,简明呈现 • 不做情绪化解读 欢迎关注与转发,获取及时的海外新闻资讯。 📢 每日更新|欢迎订阅与分享 🔗 投稿与线索: @qip91 @jia95
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 November 2026
Measurements held45
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/gj912

Topic

International 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 62% 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 in near-verbatim form on 5 other registered channels. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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
@gj912/8221 · this entry20 Aug 2026, 13:34 UTC@Toutiao518/1802422 Aug 2026, 13:07 UTC1.0048 hours
@gj912/8222 · this entry20 Aug 2026, 13:34 UTC@Toutiao518/1802522 Aug 2026, 13:07 UTC1.0048 hours
@gj912/8827 · this entry2 Nov 2026, 05:13 UTC@Toutiao518/184942 Nov 2026, 05:14 UTC1.002 minutes
@gj912/8833 · this entry3 Nov 2026, 04:38 UTC@Toutiao518/185013 Nov 2026, 04:40 UTC1.002 minutes
@gj912/8857 · this entry4 Nov 2026, 03:40 UTC@Toutiao518/185184 Nov 2026, 05:04 UTC1.0084 minutes
@Toutiao518/185306 Nov 2026, 03:50 UTC@gj912/8884 · this entry6 Nov 2026, 03:52 UTC1.002 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@Toutiao51825 (8/8 hand-verifiable sample passed)1.0020 minutesthis entry (16–9)
@TGHH6625 (8/8 hand-verifiable sample passed)1.0022 hoursthis entry (19–6)
@xw96617 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (17–0)
@xinwen66312 (7/8 hand-verifiable sample passed)1.0018 hoursthis entry (12–0)
@GJXW85 (5/5 hand-verifiable sample passed)1.0012 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. 15 of the 15 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 262 comparable posts for this entry, running 5 August 2026 to 13 November 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).

Of the group of 6 channels, the one whose matching posts we hold earliest is @xinjiapo199. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 14 November 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.

Channels linked by matching posts

This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

7,90713,14310,5256 August 2026 — 9,991 subscribers7 August 2026 — 9,980 subscribers9 August 2026 — 9,882 subscribers13 August 2026 — 9,844 subscribers16 August 2026 — 9,771 subscribers19 August 2026 — 9,701 subscribers23 August 2026 — 9,617 subscribers25 August 2026 — 9,540 subscribers28 August 2026 — 9,512 subscribers31 August 2026 — 9,370 subscribers3 September 2026 — 9,211 subscribers9 September 2026 — 8,876 subscribers13 September 2026 — 8,589 subscribers16 September 2026 — 8,416 subscribers2 October 2026 — 7,907 subscribers8 October 2026 — 10,494 subscribers12 October 2026 — 10,364 subscribers14 October 2026 — 10,325 subscribers15 October 2026 — 10,284 subscribers16 October 2026 — 10,242 subscribers17 October 2026 — 10,214 subscribers18 October 2026 — 10,187 subscribers19 October 2026 — 10,162 subscribers20 October 2026 — 10,172 subscribers21 October 2026 — 10,181 subscribers22 October 2026 — 10,200 subscribers23 October 2026 — 10,202 subscribers24 October 2026 — 10,192 subscribers25 October 2026 — 10,214 subscribers26 October 2026 — 10,228 subscribers27 October 2026 — 10,239 subscribers28 October 2026 — 10,234 subscribers30 October 2026 — 10,241 subscribers30 October 2026 — 10,239 subscribers1 November 2026 — 10,247 subscribers1 November 2026 — 10,246 subscribers3 November 2026 — 10,252 subscribers4 November 2026 — 10,277 subscribers5 November 2026 — 10,310 subscribers6 November 2026 — 10,209 subscribers7 November 2026 — 13,143 subscribers8 November 2026 — 13,042 subscribers9 November 2026 — 12,907 subscribers11 November 2026 — 12,759 subscribers14 November 2026 — 12,548 subscribers12,5486 August 202614 November 2026
45 measurements spanning 100 days, net +2,557. 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 7,122–13,928 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
14 Nov 2026, 12:4612,548-211
11 Nov 2026, 16:4112,759-148
9 Nov 2026, 23:1112,907-135
8 Nov 2026, 14:0113,042-101
7 Nov 2026, 06:2513,143+2,934
6 Nov 2026, 06:2810,209-101
5 Nov 2026, 03:2710,310+33
4 Nov 2026, 01:3810,277+25
3 Nov 2026, 02:2510,252+6
1 Nov 2026, 22:4810,246-1
1 Nov 2026, 01:4710,247+8
30 Oct 2026, 23:2010,239-2
30 Oct 2026, 00:0610,241+7
28 Oct 2026, 23:5910,234-5
27 Oct 2026, 20:5710,239+11
26 Oct 2026, 20:2110,228+14
25 Oct 2026, 20:1610,214+22
24 Oct 2026, 21:4510,192-10
23 Oct 2026, 19:2910,202+2
22 Oct 2026, 17:3110,200first reading

Engagement

303 posts held, back to 5 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 83 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.81%
avg views ÷ 12,548 subscribers
Avg views / post
729
136 posts measured
Reaction rate
2.08%
reactions ÷ views · ER floor
Posts in window
160
of 303 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 November 2026
Posts held303 (5 August 2026 – 14 November 2026)
Views total99,081
Reactions total2,061
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 03:23 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
≈5,690
Videos
≈507
Links
≈30

Lifetime counters from Telegram’s own channel header, read 15 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
17m 27s
Average length
1m 10s

Measured directly from 15 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

2,061 reactions across 136 posts, in 7 distinct kinds. The most used accounts for 15.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁31015.0%
🎉30214.7%
🔥29614.4%
👍29214.2%
👏29114.1%
🥰28914.0%
❤28113.6%

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 136 of the 303 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 2,061 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 303 most recent posts we hold, published 5 August 2026 to 14 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

Telegram’s own ‘edited’ marker: 9 of 160 posts held from the last 30 days (5.63%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 21:45 UTC559 views14 reactionsread 15 November 2026

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14 Nov 2026, 11:55 UTC449 views21 reactionsread 15 November 2026
Video

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14 Nov 2026, 11:54 UTC463 views10 reactionsread 15 November 2026
Photo

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14 Nov 2026, 04:03 UTC570 views13 reactionsread 15 November 2026
Photo

菲律宾北拉瑙省诱捕行动抓获高价值毒贩,起获冰毒与上膛手枪 11 月 13 日上午 9 时 25 分,菲律宾第 10 警区缉毒队伍在北拉瑙省图博德镇 Poblacion 村实施诱捕行动,抓获绰号 “老大德克斯特” 的 43 岁本地毒贩。 警方查获约 55 克疑似冰毒(估值 37.4 万比索)、诱捕标记钞票,还从嫌疑人身上搜出一把装填 4 发子弹的.45 口径手枪。第 10 警区局长巴巴盖准将肯定这次情报导向的缉毒行动,称会持续追查高价值涉毒人员。

😁4❤3🔥3🎉1👍1🥰1

14 Nov 2026, 04:00 UTC570 views13 reactionsread 15 November 2026
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泰国叻丕府木瓜沙拉摊枪击案:嫌犯情绪反复,店家多次忍让仍遭横祸 11 月 13 日,记者探访叻丕府班蓬市枪击案现场,这家青木瓜沙拉摊还留存着血迹与弹孔。36 岁腿部残疾男子查瓦利特朝 35 岁的奥拉泰连开 14 枪,造成对方腹部、左腿重伤。 据摊主冯女士讲述,事发时众人正准备收店,奥拉泰刚抵达摊前,嫌疑人突然开枪。奥拉泰弃车逃跑,凶手持续追击射击,还把枪口对准在场顾客,店内人员只能躲藏等待枪声平息后报警。 双方积怨已久,嫌疑人性格喜怒无常,时常辱骂、敲打店铺。店家一直忍让,还允许其家人进店卖烤鱼,也曾调解、报警,但问题没能解决,为避祸店家本打算搬迁。嫌疑人案发前在社交平台留下告别留言,行凶动机据称和十年前旧怨有关。

🥰5❤2👍2🔥2👏1😁1

14 Nov 2026, 03:53 UTC576 views13 reactionsread 15 November 2026
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泰国六名少年音乐会后聚众斗殴被捕 2026年11月10日,泰国呵叻府旺南乔县举办旅游季开幕音乐会,现场发生青少年聚众斗殴事件。11月13日,当地警局局长对外通报,警方已抓获六名涉案未成年男性。 经警方调查,冲突起因纯属意外误会。事发时,两伙少年在舞台附近抬手跳舞,一方误以为对方竖中指挑衅。音乐会结束后,双方场外偶遇再起争执,口角不断升级,最终演变为肢体斗殴。 目前,六名涉案青少年已被警方以聚众斗殴罪名立案处置,全数移交办案人员,依法推进后续司法诉讼流程。

🎉6❤3👍2🥰2

14 Nov 2026, 03:52 UTC528 views14 reactionsread 15 November 2026
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菲律宾官方集中销毁巨额违禁品,杜绝毒品再度回流市面 11月12日,菲律宾缉毒署三宝颜半岛分署在南三宝颜省奥罗拉开展违禁品集中销毁行动,于当地能源设施内,以高温焚毁总价值超1.62亿比索的非法毒品与管制药品。 本次销毁物资涵盖多类违禁品,包含23.62公斤冰毒、9.13公斤大麻,均为千余起毒品案件的涉案证物。同时焚毁1740件过期管制药物,含芬太尼、吗啡、氯胺酮等,均由当地医院及药商上交。 当地缉毒部门主管表示,禁毒不止抓捕缴获,合规销毁证物同样关键。此次行动彻底清除有害违禁品,规避其再度流入社区的风险,同时全程公开作业,提升执法透明度与公信力。

🔥4👍3❤2👏2😁2🥰1

14 Nov 2026, 03:50 UTC546 views17 reactionsread 15 November 2026
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斯里兰卡警方破获伪造证件窝点,抓获两名涉案人员并查获大量假证 斯里兰卡努格戈达警局刑事调查局在执勤巡查时,于韦利卡达辖区查获一名持有可疑临时驾照的人员。经盘问得知,该证件是以4000卢比,从纳拉亨皮塔交通部门附近民房购得。 警方据此循线追查,锁定涉案窝点并开展突袭行动,成功抓获两名年龄介于32岁至52岁的嫌疑人,二人分别来自安戈达和纳拉亨皮塔。现场缴获12张假驾驶证、8张假身份证、8张临时假驾照及4张假车辆登记证。 调查证实,嫌疑人私自伪造各类官方证件,以7500卢比起的价格对外售卖牟利。目前,努格戈达刑事调查局已接手案件,持续开展深度侦办工作。

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14 Nov 2026, 03:49 UTC587 views13 reactionsread 15 November 2026
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马来西亚三马拉汉警区开展扫黑禁毒行动,抓获三名涉毒男子 11月12日傍晚6时至晚间11时,马来西亚三马拉汉警区开展专项犯罪取缔行动,通过道路设卡排查、高危犯罪区域巡逻等方式整治辖区违法乱象。 行动期间,警方累计查验48辆交通工具、51名民众,对4名交通违规人员开出传票。本次行动成效显著,成功抓获三名涉嫌参与毒品活动的男子,同时当场起获3克冰毒作为涉案证物,用于后续案件调查取证。 11月13日清晨,三马拉汉警区通过社交平台面子书,对外公布本次专项行动的详细成果。警方表示,未来将持续常态化开展取缔行动,严厉打击各类罪案,全力守护社区治安与民众安全。

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14 Nov 2026, 03:47 UTC595 views25 reactionsread 15 November 2026
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缅甸克伦尼州多部门联合发令,全州设检查站严打毒品犯罪 11月12日,缅甸克伦尼临时行政委员会与克伦尼全军司令部联合多支地方武装、警务及行政机构发布指令,针对当地毒品产销、流通泛滥问题,在全州布设联合检查站,全面整治毒品贩运乱象。 执法力量将在边境要道、入境关口设卡核查,同步开展随机巡查、毒窝搜查与赃物查扣工作。新规明确,无论身份职位高低,凡是参与毒品生产、运输、销售及收货人员,一律依法追责。 针对公职、武装人员涉毒或暗中包庇行为,当局将从严查处,施以纪律处分直至开除。同时官方开通匿名举报渠道,严格保护举报人安全,有效线索将予以认可嘉奖。

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Showing the 12 most recent of 303 posts we hold for @gj912. 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.

Posts recorded as deleted after publishing

We recorded 56 posts on @gj912 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
15 November 2026
Median time before seen missing
31 hours
Seen missing in the last 30 days
28

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

“新闻热点速报-东南亚-全球” (@gj912), 12,548 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/gj912.

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.