Telegram RegisterThe public register of Telegram
Telegram profile photo for 柬泰马反诈新闻简讯

Channel

柬泰马反诈新闻简讯

@tgsfaa

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

22,977subscribers

-3,336 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-1002627320408
TypeChannel
Username@tgsfaa
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/tgsfaa

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 49% 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 1 other registered channel. 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
@DNYsvip888/114387 Aug 2026, 07:38 UTC@tgsfaa/4620 · this entry7 Aug 2026, 07:38 UTC1.00under a minute
@DNYsvip888/114427 Aug 2026, 10:01 UTC@tgsfaa/4624 · this entry7 Aug 2026, 10:01 UTC1.00under a minute
@DNYsvip888/114447 Aug 2026, 11:08 UTC@tgsfaa/4626 · this entry7 Aug 2026, 11:08 UTC1.00under a minute
@DNYsvip888/114477 Aug 2026, 12:55 UTC@tgsfaa/4628 · this entry7 Aug 2026, 12:55 UTC1.00under a minute
@DNYsvip888/114497 Aug 2026, 14:05 UTC@tgsfaa/4632 · this entry7 Aug 2026, 14:15 UTC1.0010 minutes
@DNYsvip888/114527 Aug 2026, 15:37 UTC@tgsfaa/4635 · this entry7 Aug 2026, 15:37 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DNYsvip88819 (8/8 hand-verifiable sample passed)1.00under a minute@DNYsvip888 (19–0)

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. 19 of the 19 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 25 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 2, the earliest publisher we hold is @DNYsvip888. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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

22,97726,31324,6457 August 2026 — 26,313 subscribers8 August 2026 — 26,266 subscribers9 August 2026 — 26,212 subscribers10 August 2026 — 26,158 subscribers11 August 2026 — 26,051 subscribers12 August 2026 — 25,973 subscribers13 August 2026 — 25,901 subscribers15 August 2026 — 25,801 subscribers16 August 2026 — 25,709 subscribers17 August 2026 — 25,655 subscribers18 August 2026 — 25,596 subscribers19 August 2026 — 25,488 subscribers20 August 2026 — 25,469 subscribers21 August 2026 — 25,424 subscribers23 August 2026 — 25,330 subscribers24 August 2026 — 25,238 subscribers25 August 2026 — 25,176 subscribers26 August 2026 — 25,144 subscribers27 August 2026 — 25,133 subscribers28 August 2026 — 25,116 subscribers29 August 2026 — 25,084 subscribers30 August 2026 — 25,051 subscribers31 August 2026 — 25,007 subscribers1 September 2026 — 24,957 subscribers2 September 2026 — 24,885 subscribers4 September 2026 — 24,859 subscribers6 September 2026 — 24,770 subscribers10 September 2026 — 24,501 subscribers12 September 2026 — 24,390 subscribers14 September 2026 — 24,325 subscribers15 September 2026 — 24,304 subscribers18 September 2026 — 24,255 subscribers30 September 2026 — 23,894 subscribers5 October 2026 — 23,700 subscribers10 October 2026 — 23,529 subscribers13 October 2026 — 23,453 subscribers15 October 2026 — 23,418 subscribers15 October 2026 — 23,379 subscribers16 October 2026 — 23,331 subscribers17 October 2026 — 23,306 subscribers18 October 2026 — 23,292 subscribers19 October 2026 — 23,263 subscribers20 October 2026 — 23,227 subscribers22 October 2026 — 23,191 subscribers23 October 2026 — 23,145 subscribers24 October 2026 — 23,123 subscribers25 October 2026 — 23,078 subscribers26 October 2026 — 23,053 subscribers27 October 2026 — 23,018 subscribers28 October 2026 — 22,977 subscribers7 August 202628 October 2026
50 measurements spanning 82 days, net -3,336. 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 22,477–26,813 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
28 Oct 2026, 19:0922,977-41
27 Oct 2026, 16:2823,018-35
26 Oct 2026, 13:0623,053-25
25 Oct 2026, 09:5723,078-45
24 Oct 2026, 08:0623,123-22
23 Oct 2026, 06:5823,145-46
22 Oct 2026, 07:1123,191-36
20 Oct 2026, 23:2723,227-36
19 Oct 2026, 18:5923,263-29
18 Oct 2026, 21:2023,292-14
17 Oct 2026, 23:3123,306-25
16 Oct 2026, 23:3723,331-48
15 Oct 2026, 22:0423,379-39
15 Oct 2026, 00:0423,418-35
13 Oct 2026, 18:5023,453-76
10 Oct 2026, 03:2023,529-171
5 Oct 2026, 21:2123,700-194
30 Sept 2026, 12:1823,894-361
18 Sept 2026, 04:1524,255-49
15 Sept 2026, 21:1924,304first reading

Engagement

1,535 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 96 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.005%
avg views ÷ 22,977 subscribers
Avg views / post
1.2
525 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
525
of 1,535 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 24 October 2026
Posts held1,535 (7 August 2026 – 24 October 2026)
Views total619
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 05:37 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.

Reaction mix

5 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍240.0%
🔥240.0%
❤120.0%

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 5 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 5 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 24 August 2026 to 24 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

24 Oct 2026, 04:25 UTC1 viewsread 24 October 2026
Photo

【#越南】【🇻🇳 外轮撞坏码头泊位被扣·AQUACHARM号在榕桔港"搁浅"司法程序】🚢 2026年10月22日,越南广义省。据广义海事港务局通报,马绍尔群岛籍货轮AQUACHARM号(船东为巴拿马WEALTH LINE INC公司)因10月18日在和发榕桔钢铁公司码头靠泊时撞损泊位设施,船艏撕裂约5米,被 Region 2 人民法院依据10月21日决定正式扣船,以保障损害赔偿诉讼。看点在于:港口设施损害赔偿的扣船保全程序;外籍船东在越诉讼的资产担保安排。钢铁码头的蓝色吊机下,一艘万吨货轮就这样"泊"进了卷宗——在它重新启航之前,法律要先为撞出的裂缝定价。 #海事扣船 #港口事故

24 Oct 2026, 03:48 UTC1 viewsread 24 October 2026
Photo

【#越南】【🇻🇳 6800瓶假沐浴露"泡澡"电商平台·河内查获仿制OMO、卫宝窝点,案值近6亿盾】🧴 2026年10月22日,越南河内。据河内市市场管理局通报,执法人员在安庆社(An Khanh)一处生产窝点查获6800多瓶假冒OMO、卫宝(Lifebuoy)商标的沐浴露及数十桶散装洗衣液,成品货值近6亿越南盾,该窝点通过Shopee电商平台与Zalo社交网销售。看点在于:假货生产"前店后厂"加电商分销的闭环链条;平台审核对假货店铺的筛查责任。一瓶冒牌沐浴露,洗的可能是消费者的钱包和皮肤——电商货架上的每一个"知名品牌",都值得多看一眼产地与店铺资质。 #假冒商品 #电商假货

24 Oct 2026, 03:08 UTC1 viewsread 24 October 2026
Photo

【#菲律宾】【🇵🇭 世仇家族握手言和·苏禄两氏族签署和平契约,数十年恩怨画上句点】🕊️ 2026年10月22日,菲律宾苏禄省三宝颜市。据菲律宾通讯社报道,来自苏禄省Panglima Estino镇与Talipao镇的两个长期敌对氏族当日签署和平契约(peace covenant),正式终结延续数十年的"rido"血仇冲突,军方、地方政府与宗教领袖共同见证仪式。看点在于:"rido"仇杀文化在南部的存续现状;和解机制能否阻断下一代的复仇循环。当两个家族的手握在一起,握住的不仅是和平文书——在苏禄的椰林深处,一颗延续数代的仇恨种子,终于被连根拔起。 #苏禄和解 #血仇终结

24 Oct 2026, 02:26 UTC1 viewsread 24 October 2026
Photo

【#菲律宾】【🇵🇭 5000万比索悬赏缉拿参议员·ICC通缉令下的"蝙蝠"德拉罗萨往何处去】🎯 2026年10月23日,菲律宾马尼拉。据ABC新闻报道,菲律宾方面宣布对参议员罗纳德·"蝙蝠"·德拉罗萨开出5000万比索(约78.7万美元)悬赏,因其被国际刑事法院(ICC)以反人类罪相关指控通缉。德拉罗萨曾在杜特尔特政府任国家警察总长,主导"禁毒战争",ICC调查认为其涉嫌构成危害人类罪。看点在于:在任参议员遭国际通缉的宪政先例;马尼拉与ICC合作或对抗的路线抉择。一纸悬赏,悬在一位参议员头顶,更悬在整个国家的司法主权天平上——全球正义与本土政治的角力,此刻进入倒计时。 #ICC通缉 #悬赏缉拿

24 Oct 2026, 01:51 UTC1 viewsread 24 October 2026
Photo

【#马来西亚】【🇲🇾 载友出游变夺命车祸·房产经纪涉危险驾驶致两友身亡被扣留】🚗 2026年10月23日,马来西亚。据《新海峡时报》通报,一名房地产经纪人因涉嫌危险驾驶导致车辆失控、车上两名好友不幸身亡,被警方申请延扣协助调查,警方正就车速、路况及是否存在酒驾毒驾等方向取证。看点在于:同龄同车事故中"幸存者负罪"的心理重建;朋友同车出事后的民事赔偿与刑事追责边界。一场原本欢声笑语的结伴出行,最终以两副棺木收场——方向盘握在手里,握着的不只是方向,更是全车人的性命。 #危险驾驶 #车祸致死

24 Oct 2026, 01:15 UTC1 viewsread 24 October 2026
Photo

【#马来西亚】【🇲🇾 建筑师桑拿房内猥亵18岁青年被控·高薪职业不是护身符】⚖️ 2026年10月23日,马来西亚。据《新海峡时报》通报,一名建筑师因涉嫌在桑拿房内猥亵一名18岁青年被正式提控,案件已进入司法程序。警方强调,无论嫌疑人职业与社会地位如何,性犯罪案件一律依法侦办、从严处理。看点在于:公共场所特别是洗浴场所的性侵防范盲区;受害者打破沉默报案的勇气机制。西装革履与犯罪行为从不互斥——当检举的聚光灯亮起,每一份职业光环都得在法律面前让位。 #猥亵案 #司法提控

24 Oct 2026, 00:38 UTC1 viewsread 24 October 2026
Photo

【#马来西亚】【🇲🇾 豪华别墅+酒店双窝点·马六甲再破两个网络诈骗集团,29名外国人落网】🏨 2026年10月22日,马来西亚马六甲。据警方通报,移民与警方联合突击队在马六甲展开两起独立行动,分别突袭一栋豪华别墅与一家酒店,捣毁两个涉嫌运营网络诈骗的团伙,共拘捕29名外国公民,现场查获作案电脑、手机及大量诈骗话术剧本。看点在于:诈骗窝点向民宿、别墅区迁移的趋势;入境签证与真实职业不符的筛查机制。海景别墅的落地窗外是马六甲海峡,窗内却是话术连篇的"业绩战场"——风景越美的地方,越可能是陷阱的布景。 #马六甲缉诈 #网络骗局

24 Oct 2026, 00:02 UTC1 viewsread 24 October 2026
Photo

【#马来西亚】【🇲🇾 礼拜堂储物间惊现20.6公斤海洛因·雪兰莪无注册宗教场所遭突击】🕌 2026年10月23日,马来西亚雪兰莪巴生(Klang)。据雪兰莪警方通报,警方在突击检查一栋无注册宗教场所时,于储物间内查获约20.6公斤海洛因,警方怀疑该场所被贩毒团伙用作毒品储存与中转据点,相关嫌疑人正在接受调查。看点在于:以宗教场所为幌子的毒品仓储新模式;无注册场所的监管盲区。当神圣空间被毒贩"租用",亵渎的不仅是信仰——每一砖被毒浸透的墙体,都是对社区信任的一次偷换。 #雪兰莪缉毒 #场所滥用

23 Oct 2026, 18:04 UTC1 viewsread 24 October 2026
Photo

【#泰国】【🇹🇭 边境抓捕潮下的恐慌·清迈火车站35人落网,27名缅甸公民遣返倒计时】🚉 2026年10月19—21日,泰国清迈、达府。据DVB及边境人权组织通报,泰国当局近期在湄索(Mae Sot)与清迈展开多轮针对无证移民的集中抓捕,仅10月19日一天就在清迈火车站扣留35人,其中27人为缅甸公民;同期达府湄索警方在宾馆拘捕3名喀麦隆籍非法入境者。湄索、清迈的缅甸劳工社区陷入恐慌,大批工人不敢上工。看点在于:大规模抓捕是否伴随人口贩卖筛查缺位;被捕者经缅甸中转回国的安置困境。对边境城市而言,警力每一次集结都是双刃剑——斩断非法链条的同时,也要护住那些本就最脆弱的脊背。 #边境抓捕 #缅甸劳工

23 Oct 2026, 17:31 UTC1 viewsread 24 October 2026
Photo

【#印尼】【🇮🇩 33万人呼吸道感染!林火烟霾下的健康账单,政府再拨6800万美元救火】🔥 2026年10月22日,印尼雅加达。据卫生部通报,受持续林火与烟霾影响,全国累计报告急性呼吸道感染病例已达333,470例;政府同日宣布追加第二笔救火资金,累计投入约6800万美元用于灭火行动,并已对数十家企业实施行政处罚、对125名个人及法人启动刑事程序。看点在于:烧芭经济链的深层症结;行政处罚能否真正震慑 plantation 违规。每一缕烟霾飘向邻国之前,先灼伤的是自己的国民——这笔健康账单,终须有人用真金白银和牢狱来付。 #印尼林火 #公共卫生

23 Oct 2026, 17:01 UTC1 viewsread 24 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7219632682

23 Oct 2026, 17:01 UTC1 viewsread 24 October 2026
Photo

【#柬埔寨】【🇰🇭 洪玛奈严词驳"割地"传言·同日推出中小微企业新战略,稳经济稳民心】🏛️ 2026年10月22日,柬埔寨金边。据KPT Daily报道,首相洪玛奈当日公开驳斥有关柬埔寨向泰国割让领土的说法,强调政府绝不会出卖一寸国土;同日,柬政府宣布启动新一轮中小微企业战略,以提升生产率、推动非正规经济正规化,为基层经济注入动能。看点在于:边境争议话题的国内政治敏感度;中小微企业能否成为后诈骗园区时代的就业支柱。对内稳民心、对外守底线——这个微笑国度的掌舵者,正试图在信任赤字中重建经济地基。 #柬埔寨政治 #中小微企业战略

Showing the 12 most recent of 1,535 posts we hold for @tgsfaa. 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 1 registered channel — 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.

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“柬泰马反诈新闻简讯” (@tgsfaa), 22,977 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/tgsfaa.

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.