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Telegram profile photo for 东南亚情报局

Channel

东南亚情报局

@seath

2 usernames

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

27,480subscribers

-9,797 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-1003961742206
TypeChannel
Usernames@dnysea @seath
Description东南亚情报局|专注东南亚地区资讯动态、社会观察、生活信息与区域热点,持续关注柬埔寨、缅甸、泰国、斯里兰卡、马来西亚等多地内容。 每日整理南洋一线资讯,带你了解更多区域新动态。 内容来源于公开资料整理,仅供参考,不代表任何立场,请理性阅读,自行甄别。 🌐 东南亚情报局频道: @seath 💬 情报局交流群: @qbjjlq 📮 情报局自助投稿小助手: @dnysea_bot 🎖 商务合作 SEA司令: @qbjsea
CreatedBetween 1 April 2026 and 7 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held125
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/seath

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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 2 other registered channels. 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
@DNYsvip888/1250829 Aug 2026, 18:02 UTC@seath/8105 · this entry29 Aug 2026, 18:02 UTC0.91under a minute
@DNYsvip888/128416 Sept 2026, 16:31 UTC@seath/8631 · this entry6 Sept 2026, 16:31 UTC0.90under a minute
@DNYsvip888/1384927 Sept 2026, 02:04 UTC@seath/9922 · this entry27 Sept 2026, 02:04 UTC0.89under a minute
@DNYsvip888/1362222 Sept 2026, 01:38 UTC@seath/9632 · this entry22 Sept 2026, 01:38 UTC0.89under a minute
@DNYsvip888/1370123 Sept 2026, 13:26 UTC@seath/9714 · this entry23 Sept 2026, 13:26 UTC0.87under a minute
@DNYsvip888/127755 Sept 2026, 06:03 UTC@seath/8527 · this entry5 Sept 2026, 06:03 UTC0.87under a minute
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
@DNYsvip888114 (8/8 hand-verifiable sample passed)0.88under a minute@DNYsvip888 (114–0)
@tgsfaa86 (8/8 hand-verifiable sample passed)0.87under a minutethis entry (51–35)

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. 149 of the 149 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 2,094 comparable posts for this entry, running 7 August 2026 to 10 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).

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 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.

Growth

17,72840,77529,251.527,4807 August 202611 November 2026
125 measurements spanning 95 days, net -9,797. 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 14,271–44,232 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 125
Measured (UTC)SubscribersChange
11 Nov 2026, 03:1027,480-6
10 Nov 2026, 14:4727,486+5,573
9 Nov 2026, 08:1421,913+2,582
9 Nov 2026, 00:2119,331+91
8 Nov 2026, 00:1719,240-9
7 Nov 2026, 18:1119,249+63
6 Nov 2026, 18:4619,186-2
6 Nov 2026, 16:3019,188+81
5 Nov 2026, 19:0019,107-1
5 Nov 2026, 16:5919,108+81
4 Nov 2026, 21:3819,027no change
4 Nov 2026, 19:3019,027+83
3 Nov 2026, 20:3718,944-1
3 Nov 2026, 18:3818,945+94
2 Nov 2026, 22:5518,851-2
2 Nov 2026, 14:5718,853+101
1 Nov 2026, 19:5918,752-4
1 Nov 2026, 16:3618,756+53
31 Oct 2026, 22:4618,703+90
31 Oct 2026, 15:1818,613first reading

Engagement

2,141 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 217 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.70%
avg views ÷ 27,480 subscribers
Avg views / post
741
356 posts measured
Reaction rate
0.138%
reactions ÷ views · ER floor
Posts in window
356
of 2,141 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 1 of 356 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 11 November 2026
Posts held2,141 (7 August 2026 – 11 November 2026)
Views total263,868
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 07:11 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
≈6,720
Videos
≈1,100
Links
≈18

Lifetime counters from Telegram’s own channel header, read 11 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.

Reaction mix

998 reactions across 104 posts, in 11 distinct kinds. The most used accounts for 15.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥15015.0%
💯13213.2%
❤13013.0%
😍13013.0%
👏12412.4%
🎉11511.5%
👍10610.6%
😁10110.1%
🥰50.501%
⚡30.301%
🤩20.2%

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 104 of the 1,000 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 998 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 September 2026 to 11 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: 0 of 356 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).

11 Nov 2026, 06:47 UTC626 viewsread 11 November 2026
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【#越南】【⛽ Dương Đông集团油品经营异常材料移交公安部】 据越南《青年报》2026年11月10日报道,越南政府监察总署当天公布对Dương Đông集团油品经营活动的监察结论。截至2026年3月31日,企业会计软件显示累计库存为负约1.23亿升,进销数据与发票、海关申报和税务申报之间的差异约2.078万亿越南盾。监察还发现无合法来源凭证、使用不合法发票、会计数据失实及环保税申报异常等迹象,其中约7200亿越南盾环保税申报对象不实,约1400亿越南盾被认为可能无法入库。相关材料已移交公安部调查警察机关。当前属于发现涉嫌刑事违法迹象并移交调查,并非集团或负责人已被定罪。​ #油品经营 #经济犯罪调查 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 05:32 UTC719 viewsread 11 November 2026
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【#新加坡】【⚖️ 男子长期虐待妹妹致死,被判终身监禁】 据越南VnExpress于2026年11月10日综合新加坡媒体报道,19岁女子Huang Baoying在约七个月内遭兄长Huang Bocan、Chee Mei Wan及Lim Peng Tiong限制饮食、殴打并锁在卫生间。她曾遭木棍击打,有一次被打了240下;2021年5月4日至5日仍遭体罚,延误送医后死亡。尸检认定其死于严重营养不良、败血症及钝力损伤,体重由48.8公斤降至27.6公斤。新加坡高等法院于2026年11月5日以谋杀罪判处34岁的Bocan终身监禁;66岁的Lim此前被判14年11个月监禁;47岁的Chee仍等待审判。各被告法律状态并不相同。​ #虐待致死 #新加坡庭审 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 05:03 UTC761 viewsread 11 November 2026
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【#菲律宾】【🔧 圣胡安市一男子涉嫌盗窃地下电缆被捕】 据菲律宾《马尼拉公报》2026年11月10日报道,一名34岁建筑工人于11月9日在圣胡安市被捕。当地描笼涯人员发现其涉嫌盗取地下电缆后将其控制,随后交由有关方面处理。报道指出,监控系统在发现及阻止此案中发挥了作用,涉案电缆价值约23万比索。公开的报道图片显示,执法人员记录了被截断的电缆、安全帽及锯具等物品。现有报道未进一步公布该男子姓名、完整作案过程及其是否已被正式起诉,因此目前只能表述为涉嫌盗窃并被捕,不能直接认定其罪名成立。​ #电缆盗窃 #菲律宾治安 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 05:00 UTC786 viewsread 11 November 2026
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🤩🤩🤩🤩🧧🧧🧧🧧😄😁😁😁😁😁 🌟🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🔥 i8国际|豪礼天天领|福利天天享 🔥 🎁 每日签到|连续签到最高享 58U 🎰 电子日奖|每日投注最高享 18,888U 🌙 午夜回馈|专属时段最高享 8,888U 💎 神秘彩金|随机派送・1倍流水可提 👑 老客回归|专属豪礼最高 88,888U 🎉 迎新三重礼|首充・二充・三充层层加码|最高 8,888U ✨ 新客有礼|老客有奖|每日惊喜不断✨ 🎊 双十一狂欢盛典|11月11日—13日|限时3天 💰 每日投注送彩金|最高 59,999U 🧧每日存款满50即可参与|三波红包雨最高 8,888 ⏰ 红包时间(北京时间)|16:00 · 20:00 · 23:00 💎 💎 第二笔充值达标|最高奖励 19,998 🔥 三大活动同步开启|双十一福利限时放送!🔥 🌟🌟🌟🌟🌟 @i8kf 🌟🌟🌟🌟🌟 @i8DL 🌟🌟🌟🌟🌟 @i8pd 🌟🌟🌟🌟🌟 @i8i8 🌟🌟🌟🌟🌟 …

11 Nov 2026, 04:40 UTC811 viewsread 11 November 2026
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频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1003961742206_7154776361_groups_78ab2297

11 Nov 2026, 04:26 UTC854 viewsread 11 November 2026
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【#泰国】【💊 春武里警方查获“僵尸烟弹”、笑气及外国香烟】 据泰国The Pattaya News于2026年11月10日报道,春武里警方11月9日晚通过控制下购买行动,先拘捕负责送货的40岁缅甸男子Myo Myint,再追查33岁中国男子Chen。警方在交易及后续搜查中共查获89个含依托咪酯的“僵尸烟弹”、49罐笑气和127条外国香烟。Chen向调查人员称,货物购自曼谷,买家通常以加密货币付款,他再将商品放在约定地点供买家自取。两名嫌疑人及证物已移交Nongprue警局处理。报道提到警方截查Chen时,他正与一名韩国顾客交接笑气,但尚不清楚该顾客是否被指控。​ #毒品犯罪 #非法交易 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 03:48 UTC959 viewsread 11 November 2026
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【#越南】【🚨 西宁六家按摩店涉组织卖淫,10人被拘】 据越南VnExpress于2026年11月10日报道,西宁省公安机关11月9日通报,10人因涉嫌参与六家按摩店的卖淫链条被拘。涉案场所包括Hoàng Gia 1、Hoàng Gia 2、Tiểu Tiên Nữ、Thủy Cung、Thượng Hải 7和Như Ý。调查人员称,顾客购买150万越南盾门票后,可在按摩房内买春;不同场所之间还会调配员工,每售出一张相关门票,提供员工的场所所有者可获50万越南盾。六名管理人员被现场查获,案件还涉及Phạm Văn Thủy、Phạm Văn Tuấn、Hoàng Văn Bốn等人。公安机关正扩大调查,涉案人员目前处于被拘查阶段。​ #组织卖淫 #西宁治安 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 03:07 UTC≈1,050 viewsread 11 November 2026
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【#马来西亚】【🌾 道北查获1.216吨疑似走私大米】 据马来西亚《新海峡时报》及马新社2026年11月10日报道,执法人员11月9日下午4时在哥打峇鲁—彭加兰古堡路段发现一辆形迹可疑的Nissan Vanette。司机试图逃离,车辆随后在Kampung Kubang Panjang打滑,35岁司机被拘留。执法人员在车内发现49袋、共1216公斤大米,估值4864令吉。初步调查认为,这批大米经Kuala Jambu的Pohon Tar非法据点从泰国运入,准备转运至Pasir Puteh。涉事车辆估值1.8万令吉,连同一批大米,总查扣价值为22864令吉。案件依马来西亚国家稻米和大米监管相关法律处理。​ #大米走私 #马来西亚边境 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 02:24 UTC≈1,110 viewsread 11 November 2026
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【#印度尼西亚】【🏍️ 刚果籍男子被列为巴厘岛摩托车盗窃案嫌疑人】 据印度尼西亚安塔拉通讯社2026年11月10日报道,巴厘岛警方将34岁刚果籍男子JAA列为一起摩托车盗窃案嫌疑人。警方刑事调查负责人Lintar Mahardhono表示,JAA离开一栋别墅时,发现一辆白色本田ADV摩托车的钥匙仍插在点火装置上,随后涉嫌将车骑走。该车属于吉亚尼亚尔县一家租赁公司,此前由一名美国公民租用。初步调查认为JAA可能单独作案,暂未发现其背后存在犯罪团伙。由于案发地点属于吉亚尼亚尔辖区,案件由当地警方继续处理。目前其法律身份为盗窃嫌疑人,报道未披露是否已正式起诉。​ #摩托车盗窃 #巴厘岛治安 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 01:49 UTC≈1,160 viewsread 11 November 2026
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【#泰国】【💻 芭堤雅豪宅被用作“恋爱+投资”诈骗基地】 据泰国The Pattaya News于2026年11月10日报道,警方11月9日下午持法院搜查令突击Nongprue一栋两层泳池住宅,拘捕8名中国公民和2名缅甸公民,查获2台笔记本电脑、32部手机及逾178张SIM卡。调查人员发现冒充中国高级军官的聊天记录、恋爱话术,以及约700笔、总额约3.5亿泰铢转入一个中国账户的记录。团伙被指先通过抖音或TikTok与中国受害者建立恋爱关系,再引导其使用虚假股票投资应用。该住宅已使用约六个月,警方估计约有100名中国受害者。8名中国公民均涉嫌非法入境,其中4人在中国被通缉;被指为头目的Guan不在被捕者中。​ #电信诈骗 #跨国犯罪 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 01:11 UTC≈1,180 viewsread 11 November 2026
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【#越南】【⚖️ 河内686家诊所和药房涉付钱取得执业许可】 据越南VnExpress于2026年11月10日报道,河内人民法院在补充调查四个月后,重新开庭审理卫生部门执业许可腐败案,共有16名被告,其中9人被控受贿,7人被控斡旋受贿。检察机关认定,686家私人诊所和药房通过中介支付共86.7亿越南盾,以在条件不完整的情况下取得许可,中介自留约8.5亿越南盾。补充调查后,卫生局人员被指控收受的金额调整为35.6亿越南盾,其中前副处长Tô Tử Anh涉案12.75亿越南盾。其辩称部分款项属于咨询费或感谢费,但审判长不认可该解释。庭审预计持续三天,目前仍属审理阶段。​ #医疗腐败 #越南庭审 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

11 Nov 2026, 00:38 UTC≈1,210 viewsread 11 November 2026
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【#马来西亚】【🦌 七只鹿疑从泰国走私入境,司机被捕】 据马来西亚《新海峡时报》2026年11月10日报道,普通行动部队第七营当天凌晨4时15分在吉兰丹道北Chabang Empat Tok Mek Ngah截查一辆可疑五十铃货车,在车厢五个木箱内发现七只鹿,并逮捕31岁司机。警方认为,走私者可能利用哥乐河水位上涨,以船只将鹿从泰国运入马来西亚。司机未能提供动物来源及运输许可,据调查,他从Pohon Ta非法码头取货,准备运往登嘉楼。被查扣货车估值8万令吉,七只鹿估值3.5万令吉。案件已移交吉兰丹兽医局,并依《动物法》第36(1)条调查。​ #动物走私 #边境执法 🌐关注东南亚情报局 @seath 📝免费投稿 @dnysea_bot

Showing the 12 most recent of 2,141 posts we hold for @seath. 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 78 posts on @seath 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
7 August 2026
Most recent seen missing
10 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
16

Mentions

Named by 4 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚情报局” (@seath), 27,480 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/seath.

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.