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Channel
@gj912
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
10,310subscribers
+319 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002686044445 |
|---|---|
| Type | Channel |
| Username | @gj912 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 39 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/gj912 |
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.
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.
Posts published here appear word for word on 2 other registered channels. They sit inside a group of 6 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @gj912/8104 · this entry5 Aug 2026, 12:09 UTC | @xw966/77475 Aug 2026, 12:09 UTC | 1.00 | under a minute |
| @gj912/8106 · this entry5 Aug 2026, 12:11 UTC | @xw966/77495 Aug 2026, 12:11 UTC | 1.00 | under a minute |
| @gj912/8110 · this entry5 Aug 2026, 13:36 UTC | @xw966/77515 Aug 2026, 13:36 UTC | 1.00 | under a minute |
| @gj912/8117 · this entry6 Aug 2026, 13:51 UTC | @xw966/77586 Aug 2026, 13:52 UTC | 1.00 | under a minute |
| @gj912/8118 · this entry6 Aug 2026, 13:52 UTC | @xw966/77596 Aug 2026, 13:53 UTC | 1.00 | under a minute |
| @gj912/8122 · this entry6 Aug 2026, 13:55 UTC | @xw966/77636 Aug 2026, 13:56 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @xw966 | 17 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (17–0) |
| @xinwen663 | 12 (7/8 hand-verifiable sample passed) | 1.00 | 18 hours | this entry (12–0) |
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 28 comparable posts for this entry, running 5 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.
Across the whole group of 6, the earliest publisher we hold is @xinjiapo199. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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.
This channel’s posts match, word for word or near enough, posts on 5 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 03:27 | 10,310 | +33 |
| 4 Nov 2026, 01:38 | 10,277 | +25 |
| 3 Nov 2026, 02:25 | 10,252 | +6 |
| 1 Nov 2026, 22:48 | 10,246 | -1 |
| 1 Nov 2026, 01:47 | 10,247 | +8 |
| 30 Oct 2026, 23:20 | 10,239 | -2 |
| 30 Oct 2026, 00:06 | 10,241 | +7 |
| 28 Oct 2026, 23:59 | 10,234 | -5 |
| 27 Oct 2026, 20:57 | 10,239 | +11 |
| 26 Oct 2026, 20:21 | 10,228 | +14 |
| 25 Oct 2026, 20:16 | 10,214 | +22 |
| 24 Oct 2026, 21:45 | 10,192 | -10 |
| 23 Oct 2026, 19:29 | 10,202 | +2 |
| 22 Oct 2026, 17:31 | 10,200 | +19 |
| 21 Oct 2026, 12:16 | 10,181 | +9 |
| 20 Oct 2026, 11:30 | 10,172 | +10 |
| 19 Oct 2026, 09:57 | 10,162 | -25 |
| 18 Oct 2026, 09:40 | 10,187 | -27 |
| 17 Oct 2026, 07:17 | 10,214 | -28 |
| 16 Oct 2026, 08:35 | 10,242 | first reading |
177 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 52 pages of 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.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 177 (5 August 2026 – 4 November 2026) |
| Views total | 22,229 |
| Reactions total | 406 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 23:37 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 13 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.
406 reactions across 30 posts, in 7 distinct kinds. The most used accounts for 17.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 69 | 17.0% | |
| 👍 | 67 | 16.5% | |
| 👏 | 63 | 15.5% | |
| 🔥 | 61 | 15.0% | |
| 🥰 | 55 | 13.5% | |
| ❤ | 52 | 12.8% | |
| 🎉 | 39 | 9.61% |
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 30 of the 177 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 406 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 177 most recent posts we hold, published 5 August 2026 to 4 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.
Telegram’s own ‘edited’ marker: 0 of 34 posts held from the last 30 days (0%) 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).
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柬埔寨金边凌晨发生严重车祸 疑似边境警局局长遇车祸重伤 据柬媒消息,11月3日凌晨,柬埔寨金边市森速区某寺庙大门周边路段发生一起严重车祸,造成一名男子重伤,伤者疑似为波贝国际边境口岸警察局局长伊占伦。 经了解,事故起因是一名涉事男子酒后驾车,行驶途中违规急转弯横穿车道。当事受害者为规避正面碰撞紧急避险,车辆失控冲上排水管道并发生翻车,自身遭受严重伤势。 案发后,涉事酒驾男子被警方当场抓获。重伤伤者先接受本地紧急抢救,后续转往越南医院接受专项治疗。目前伤者具体伤情、事故完整调查结果均未对外公布,相关细节仍有待官方进一步披露。
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柬埔寨女子借车跳河轻生 警民及时施救成功保住性命 2026年11月1日晚间7点10分,柬埔寨上丁市发生一起轻生事件。当地24岁女子N.K.H骑着借来的摩托车,前往塞公桥跳入塞公河,所幸被到场警方与民众及时救起,紧急送往上丁省级医院救治观察。 事发当日傍晚6点40分,该女子向友人借来一辆2023款白色Scoopy摩托车,随后独自驾车前往事发桥梁。跳河前,她将摩托车、iPhone 11手机和鞋子留在桥上。沙鲁西警察局接报后迅速处置,成功挽救其生命。 后续警方已将涉案摩托车归还给车主Sam Channa,目前该女子在医院接受健康监测,相关情况仍在跟进。
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缅甸河道侵蚀引发河岸坍塌 民居受损民众紧急转移避险 11月2日上午,缅甸伊洛瓦底省瓦克赫玛镇瑞朗镇叶觉村发生河岸坍塌灾害。受瑞朗河持续水流冲刷侵蚀影响,当地一段长250英尺、宽40英尺的河岸塌陷,险情突发。 此次坍塌直接造成岸边一栋房屋彻底倒塌,周边另有五栋房屋存在安全隐患,相关住户已全部紧急疏散至临时安置点。所幸本次地质灾害未造成人员伤亡。据受灾民众介绍,河岸坍塌事发突然,为规避危险只能紧急搬离住所。 目前当地居民仍忧心忡忡,担忧瑞朗河的持续冲刷会加剧河岸坍塌风险,后续或将引发更多民居损毁,威胁沿岸居住安全。
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斯里兰卡联合突击行动 抓获21名外籍跨国网诈嫌疑人 近日,斯里兰卡多部门联合开展突击抓捕行动,成功捣毁一处盘踞在科伦坡马拉达纳技术路口区域的跨国犯罪窝点,抓获21名外籍涉案人员。该团伙长期在当地实施网络金融诈骗、非法敲诈勒索等违法活动。 本次抓捕由斯里兰卡中央犯罪调查局、刑事调查局联合出入境管理局协同推进。涉案窝点设于当地一栋三层楼房内,被捕人员包含12名中国公民、6名孟加拉国公民及3名印度公民,目前已全部被警方拘留核查。 现阶段,警方正对该团伙的作案模式、网络犯罪链条展开全面彻查。案件调查在多名高阶警务人员统筹部署下推进,后续将依法深挖全部涉案细节、追究嫌疑人法律责任。
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菲律宾多部门联合执法 查获三百余万比索走私香烟并抓获三人 周一早上7点20分,菲律宾多部门在东内格罗斯省巴赛镇开展联合反走私行动,于林托布村拦截一辆涉案蓝色马自达卡车,查获54大箱BOSQU走私香烟,涉案价值高达309.42万比索,当场抓获三名涉案男子。 三名嫌疑人均为西内格罗斯省居民,包含一名卡车司机与两名随车乘客。本次行动由多支警务、海关部门协同开展,执法人员全程录像取证,现场清点标记违禁品后,将嫌疑人与涉案车辆一并移交警局处置。 经查,这批走私香烟计划跨区域非法转运售卖。目前,当局将依据菲律宾两项相关法案,对三名嫌疑人提起法律诉讼,严厉追究其走私违法责任。
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越南警方联合多部门捣毁河道盗抢犯罪团伙 11月3日,胡志明市警察局刑事警察局通报,警方联合多地交管、辖区派出所,成功打掉一个盘踞在胡志明市与同奈省交界河岸的犯罪团伙,该团伙长期在沿岸实施盗窃、抢劫违法活动。 目前警方已依法启动司法程序,临时拘留七名涉案人员,涵盖多名同奈市居民及一名永隆省人员,其中包含一对夫妻。七人分别涉嫌盗窃、抢劫以及接收赃物等多项罪名,全部被警方控制调查。 本次跨区域联动抓捕行动高效精准,彻底清除了河道沿岸的治安隐患,有力打击了跨界流窜作案的违法犯罪气焰,后续警方将深挖团伙全部作案事实,依法从严处置。
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Showing the 12 most recent of 177 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.
We recorded 32 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.
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.
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 5 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), 10,310 subscribers as measured 5 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.