Channel
@x5823
On this record: Topic · Observations · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
1,227,454subscribers
-194,133 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1002124991051 |
|---|---|
| Type | Channel |
| Username | @x5823 |
| Description | ⚡️ 全网首发！资讯快人一步 🚨 拒绝信息时差。第一时间推送东南亚突发事件、灰产内幕与最新政策。 【最新】 实时追踪区域动态 【最快】 突发新闻秒速直达 🌏 覆盖区域： #柬埔寨 #菲律宾 #泰国 #缅甸 等 📡 功能板块： #爆料 #求助 #独家 #现场 Breaking News from Southeast Asia. Fastest updates, 24/7. 投稿 商务 联系： @ARX889 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/x5823 |
Adult — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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.
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.
On 7 of the 233 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0008 reactions per view.
| Post | Over | Views | Reactions | Expected |
|---|---|---|---|---|
| /19414130 Aug 2026, 09:29 UTC | 31 minutes | 3,640 → 20,600at least +16,860 | 36 → 36at most +1 | +13.0 |
| /19414230 Aug 2026, 11:25 UTC | 44 minutes | 3,970 → 21,600at least +17,530 | 12 → 12at most +1 | +13.5 |
| /19416231 Aug 2026, 15:00 UTC | 44 minutes | 1,210 → 15,100at least +13,790 | 12 → 12at most +1 | +10.6 |
| /1942283 Sept 2026, 15:00 UTC | 35 minutes | 1,670 → 16,900at least +15,130 | 12 → 12at most +1 | +11.6 |
| /1942404 Sept 2026, 13:48 UTC | 36 minutes | 2,810 → 17,000at least +14,090 | 12 → 12at most +1 | +10.8 |
| /1942414 Sept 2026, 14:53 UTC | 30 minutes | 2,850 → 17,800at least +14,850 | 12 → 12at most +1 | +11.4 |
| /19446915 Sept 2026, 15:00 UTC | 35 minutes | 3,960 → 17,900at least +13,840 | 12 → 12at most +1 | +10.6 |
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the key view_reaction_decoupling, last confirmed 27 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 17:36 | 1,227,454 | -17,494 |
| 19 Sept 2026, 03:17 | 1,244,948 | -5,596 |
| 16 Sept 2026, 15:42 | 1,250,544 | -2,788 |
| 14 Sept 2026, 20:58 | 1,253,332 | -1,922 |
| 13 Sept 2026, 08:18 | 1,255,254 | -5,000 |
| 11 Sept 2026, 11:21 | 1,260,254 | -14,556 |
| 8 Sept 2026, 18:16 | 1,274,810 | -12,723 |
| 5 Sept 2026, 09:40 | 1,287,533 | -5,372 |
| 3 Sept 2026, 14:58 | 1,292,905 | -35,076 |
| 2 Sept 2026, 06:28 | 1,327,981 | -1,262 |
| 1 Sept 2026, 05:14 | 1,329,243 | -2,034 |
| 31 Aug 2026, 06:14 | 1,331,277 | -1,066 |
| 30 Aug 2026, 08:06 | 1,332,343 | -1,773 |
| 29 Aug 2026, 08:53 | 1,334,116 | -4,008 |
| 28 Aug 2026, 09:23 | 1,338,124 | -4,277 |
| 27 Aug 2026, 08:13 | 1,342,401 | -9,392 |
| 26 Aug 2026, 04:58 | 1,351,793 | -5,842 |
| 25 Aug 2026, 03:15 | 1,357,635 | -22,796 |
| 23 Aug 2026, 20:04 | 1,380,431 | -15,385 |
| 22 Aug 2026, 07:48 | 1,395,816 | first reading |
637 posts held, back to 1 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 121 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. It is computed over the 232 of 246 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 637 (1 August 2026 – 27 September 2026) |
| Views total | 3,026,861 |
| Reactions total | 3,097 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 06:20 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.
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Measured directly from 154 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.
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 239 of this channel’s own posts over the last 30 days (23 of the 24-hour readings behind this are interpolated, not measured directly): across 206 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 3.3 hours of being posted; a typical post has already reached 24.6% of its 24-hour view count within the first hour, and 81.1% within the first six; the median 24-hour reach across those posts is 16,200 views — 1.32% of this channel’s own subscriber count (90th percentile 22,840).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /19456127 Sept 2026, 06:02 UTC | 117 minutes – 17 minutes old | 12 views10 reactions | no checkpoint reading yet | not yet at 24h | not measurable yet |
| /19455927 Sept 2026, 06:02 UTC | 117 minutes – 17 minutes old | 3 views10 reactions | no checkpoint reading yet | not yet at 24h | not measurable yet |
| /19455827 Sept 2026, 05:14 UTC | 370 seconds – 66 minutes old | 15 views10 reactions | 60 minutes: 15 interp.still climbing at last reading | not yet at 24h | 70 secondsupper bound — already past half at first reading · provisional — final view count still climbing |
| /19455727 Sept 2026, 05:13 UTC | 377 seconds – 66 minutes old | 14 views10 reactions | 60 minutes: 14 interp.still climbing at last reading | not yet at 24h | 77 secondsupper bound — already past half at first reading · provisional — final view count still climbing |
| /19455626 Sept 2026, 22:12 UTC | 1533 minutes – 8.1 hours old | 28 views10 reactions | 60 minutes: 13 → 3.0 hours: 19 interp. → 6.0 hours: 23still climbing at last reading | not yet at 24h | 1.8 hoursprovisional — final view count still climbing |
| /19455526 Sept 2026, 22:12 UTC | 1533 minutes – 8.1 hours old | 25 views10 reactions | 60 minutes: 11 interp. → 3.0 hours: 17 interp. → 6.0 hours: 20still climbing at last reading | not yet at 24h | 1.8 hoursprovisional — final view count still climbing |
| /19455426 Sept 2026, 15:30 UTC | 2735 minutes – 15 hours old | 9,720 views ~10 reactions | 60 minutes: 8,363 interp. → 3.0 hours: 9,710 interp. → 6.0 hours: 9,710 → 12 hours: 9,720views have flattened out | not yet at 24h | 35 minutes |
| /19455226 Sept 2026, 15:00 UTC | 2830 minutes – 15 hours old | 10,500 views ~10 reactions | 60 minutes: 1,744 interp. → 3.0 hours: 8,899 interp. → 6.0 hours: 10,400 → 12 hours: 10,500views have flattened out | not yet at 24h | 2.2 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
4,899 reactions across 345 posts, in 9 distinct kinds. The most used accounts for 25.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,240 | 25.3% | |
| ❤ | 1,216 | 24.8% | |
| 🔥 | 1,216 | 24.8% | |
| 🥰 | 1,202 | 24.5% | |
| 👏 | 15 | 0.306% | |
| 🤡 | 6 | 0.122% | |
| 😢 | 2 | 0.041% | |
| 👎 | 1 | 0.02% | |
| 🤯 | 1 | 0.02% |
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 346 of the 637 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 4,899 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 637 most recent posts we hold, published 1 August 2026 to 27 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @x5823. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 637 most recent posts we hold for this entry, published 1 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
泰勒·斯威夫特新歌再破Spotify纪录 菲律宾马尼拉消息，泰勒·斯威夫特发布新歌后再度刷新多项纪录。9月25日，她发行了最新专辑《The Life of a Showgirl》的加演版，包含四首新歌。Spotify数据显示，主打单曲《Patient Zero》创下今年该平台女艺人单日最高流媒体播放纪录，斯威夫特本人也成为今年单日播放量最高的女艺人。此前一周，Spotify刚上线了她职业生涯全部58支音乐视频。《Patient Zero》的音乐视频由达科塔·约翰逊和科林·法瑞尔主演，将在2026年MTV音乐录影带大奖上首播，斯威夫特共获11项提名，并将获得首届MTV VMA艺术家导演荣誉。斯威夫特在Instagram上表示，新歌源于对粉丝支持专辑的纯粹感激。她去年7月与美国橄榄球明星特拉维斯·凯尔西结婚。
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马来西亚组织内部处理性侵儿童案引关注 全球伊赫万服务与商业控股（GISBH）近日承认，该组织此前曾发生鸡奸案件，并称已在内部处理。公司首席执行官纳西鲁丁·阿里在社交媒体发布的视频中表示，GISBH将这些案件视为法律罪行，但选择内部解决。根据2017年《儿童性犯罪法》第19条，未就针对儿童的性犯罪向警方报案属于违法行为，但该罪行为不可保释罪行，需副检察官签发调查令方可调查。评论指出，此类罪行不应被视为轻微，该法所有罪行均应列为可保释罪行，以更好保护儿童。目前，未报案的最高罚款仅为5000令吉，对部分违法者而言处罚过轻。
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Toni Babao创办COSPLANET PH漫展 菲律宾广播名人Julius Babao与Tintin Bersola-Babao之女Toni Babao将推出自己的漫展活动COSPLANET PH，于10月30日至31日上午10时至晚9时在马尼拉喜来登酒店“Collab”场地举行。为期两天的活动包括Cosplay比赛、表演、游戏、抽奖、拍卖、艺术与商品摊位、收藏品展示，以及与创作者和嘉宾的见面会。Toni表示，她一直想创办自己的活动，童年时看母亲管理市集让她萌生想法，而Cosplay给了她方向。她希望打造一个互动性强、适合独自前来的参与者也能享受的舒适空间。活动嘉宾包括Jin Joson、Anasity Jardeleza（Lucee）和Lee（Rahjee）。
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槟城研究院接手乔治市文学节 槟城研究院受委托主办年度乔治市文学节，希望本地民众继续阅读并参与文学讨论。该院执行董事黄基明表示，人们仍然喜欢读书和思考议题，应鼓励年轻人和老年人阅读，以深入理解所处世界。这是槟城研究院自2015年以来再次主办该文学节，今年主题为“街头之语”，庆祝乔治市多元文化。第14届文学节将呈现反映乔治市活力文化的故事、声音和语言。活动获得Greatech Technology 60万令吉和汇丰马来西亚10万令吉赞助。主会场设在Think City，另在张弼士故居、圣芳济学院、China House及海滩街和柴路头空地举办活动。马来西亚作家陈团英、许诗丽、Aishah Zainal、Hanna Alkaf及诗人Hafiz Hamzah和Qurratul Ain将出席，国际作家包括比利时作家Jeroen Olyslaegers和台湾小说家陈思宏。
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清迈警方突袭两处赌窝 逮捕百名赌客 据媒体报道，清迈警方近日突袭两处赌博场所，逮捕约100名赌客及多名“协助者”。报道称，当地居民似乎对这类场所的存在并不知情，负责该区域的警察也声称毫不知情。目前尚不清楚被捕人员及缴获物品的后续处理情况。报道还回顾了泰国历史上多起引人关注的赌博相关事件，包括1991年一名议员在赌场被捕、2015年碧差汶府斗鸡场遭突袭等。此外，报道提及前英格兰国脚安德罗斯·汤森在泰国南部也拉府踢球时被摩托车撞伤，所幸伤势不重。
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泰国拟修医保法引发医疗公平担忧 泰国政府拟修订《国家健康安全法》，以缓解公立医院面临的成本上升、人手不足和人口老龄化压力。批评者警告，修法可能改变全民医疗覆盖原则。目前法律将医疗服务定义为“直接医疗”，修正案拟删除“直接”一词，并引入“基本福利”概念，可能将服务分为“基本”与“额外”两级，导致部分患者需自费。批评者还担心，金卡基金可能被用于支付医院运营成本，而非直接医疗服务。泰国金卡计划2002年推出，覆盖约4750万人，占人口约四分之三。世卫组织东地中海区域办事处去年12月曾对其表示认可。参议院称修法属小规模行政调整，但承认可能产生一定影响。
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人类和动物。 在缅甸，无论发生什么自然灾害，军队总是第一个赶到进行救援。 人们看到了，人们知道了，但动物们可能不知道。 至于泰国军队，他们已经走了，一切都恢复正常了。 “尼皮特”就是“尼皮特”。
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泰国16岁歌手Nene Royal夺美国达人秀冠军 16岁泰国歌手Nene Royal赢得2026年美国达人秀冠军，引发对泰国社会过度期待海外成名者的讨论。评论文章指出，泰国人常将国家希望强加于国际知名的同胞，要求他们时刻代表泰国文化并符合保守标准，这种期待往往不切实际且不公平。文章举例Lisa因纹身被批评、Mai因未提及服装品牌遭指责、Milli因使用Luu语言引争议，以及Tony Jaa、播求、Rodtang等运动员因职业选择被指忘本。作者认为，应单纯为Nene Royal的成就感到高兴，而非让她背负代表国家的重担。
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曼谷启动新排水总体规划研究 曼谷部分区域居民被建议将物品移至高处以防洪水，周边府村民则面临严重洪灾。曼谷市政府（BMA）将与日本国际协力机构（JICA）合作开展一项为期五年的研究，制定新排水总体规划，预计2032年完成。该研究将评估升级城市排水系统，以应对每小时超过100毫米的降雨。曼谷副府尹威萨努表示，规划将包括更大管道、额外排水路线和临时蓄水区，并需修订法规以要求私人和商业地产预留更多蓄水空间。批评者认为，在洪水迫在眉睫之际，这项研究显得缺乏紧迫感。
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分析：习近平对特朗普的真实诉求 本周，美国总统特朗普在华盛顿会见了中国国家主席习近平。作为两个最强大国家的领导人，他们主导着世界上最重要的双边关系。但如果特朗普认为这意味着中国的外交政策围绕对美关系展开，那就大错特错了。习近平的全球战略基于“习近平思想”的原则，这些原则包括在服务习近平领导权和共产党统治规则时，国家利益优先于所有其他利益。中国当前外交政策的焦点是争取全球南方国家的支持，以帮助确保其外交议程。习近平的第二个优先事项是台湾。鉴于台湾在太平洋第一岛链中的位置及其对美国在地区战略利益的重要性，统一台湾将展示中国对美国的优势。中国寻求建立一个“人类命运共同体”，并推动“国际关系民主化”，以塑造未来的国际秩序。中国还通过“一带一路”倡议向全球南方国家提供发展贷款，这些贷款由西方民主国家和多边发展机构强加的条件和问责制所没有的。许多全球南方国家的领导人可能将美国的国际领导地位视为对中国的让步。中国的目标不仅是结束美国霸权，还…
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泰国官员撰文谈东盟区域合作与亚洲崛起 泰国外交部常务秘书西哈萨·蓬格吉高撰文指出，东盟在亚洲崛起进程中发挥了重要作用，但外界关注较少。文章回顾称，东盟1967年在曼谷成立，为地区和平提供路径，并推动东南亚国家在冷战背景下开展合作。东盟地区论坛和东亚峰会等机制将主要大国纳入对话，有助于建立互信。文章认为，面对当前大国战略竞争加剧、多极化趋势发展，东盟需维护自身中心地位，增强团结和韧性。文章还提到泰国与柬埔寨的边境争端、缅甸问题，以及南海行为准则等议题，强调应通过对话和外交手段处理分歧。
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Showing the 12 most recent of 637 posts we hold for @x5823. 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.
Named by 51 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 22 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.
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.
@x5823 named 12 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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.
“东南亚大事件 | CG快报” (@x5823), 1,227,454 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/x5823.
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.