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Telegram profile photo for taig001

Channel

taig001

@TaiG001

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

16subscribers

-15,558 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001711974875
TypeChannel
Username@TaiG001
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 October 2026
Measurements held17
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/TaiG001

Topic

National 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 72% 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.

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 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
@TaiG001/23524 · this entry7 Aug 2026, 11:30 UTC@TaiG1/176487 Aug 2026, 11:31 UTC1.00under a minute
@TaiG001/23525 · this entry7 Aug 2026, 11:35 UTC@TaiG1/176497 Aug 2026, 11:36 UTC1.00under a minute
@TaiG001/23527 · this entry7 Aug 2026, 11:43 UTC@TaiG1/176517 Aug 2026, 11:43 UTC1.00under a minute
@TaiG001/23528 · this entry7 Aug 2026, 11:45 UTC@TaiG1/176527 Aug 2026, 11:46 UTC1.00under a minute
@TaiG001/23529 · this entry7 Aug 2026, 11:47 UTC@TaiG1/176537 Aug 2026, 11:47 UTC1.00under a minute
@TaiG001/23536 · this entry7 Aug 2026, 11:59 UTC@TaiG1/176607 Aug 2026, 12:00 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@TaiG110 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–0)
@TaiG00210 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (9–1)

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. 1 of the 1 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 10 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 3, the earliest publisher we hold is @TaiG001 — which is this entry. 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 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.

Growth

1419,7929,9037 August 2026 — 15,574 subscribers7 August 2026 — 15,574 subscribers8 August 2026 — 15,519 subscribers9 August 2026 — 15,457 subscribers10 August 2026 — 15,413 subscribers11 August 2026 — 15,279 subscribers12 August 2026 — 15,217 subscribers13 August 2026 — 15,204 subscribers14 August 2026 — 15,155 subscribers16 August 2026 — 15,069 subscribers17 August 2026 — 14,929 subscribers18 August 2026 — 14,883 subscribers19 August 2026 — 18,562 subscribers20 August 2026 — 19,792 subscribers22 August 2026 — 19,656 subscribers1 October 2026 — 14 subscribers11 October 2026 — 16 subscribers167 August 202611 October 2026
17 measurements spanning 65 days, net -15,558. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 16:1516+2
1 Oct 2026, 08:4214-19,642
22 Aug 2026, 04:0519,656-136
20 Aug 2026, 20:4319,792+1,230
19 Aug 2026, 17:3318,562+3,679
18 Aug 2026, 15:4714,883-46
17 Aug 2026, 13:3714,929-140
16 Aug 2026, 04:5415,069-86
14 Aug 2026, 16:1415,155-49
13 Aug 2026, 03:0415,204-13
12 Aug 2026, 04:3215,217-62
11 Aug 2026, 07:2615,279-134
10 Aug 2026, 07:1815,413-44
9 Aug 2026, 09:5315,457-62
8 Aug 2026, 09:3415,519-55
7 Aug 2026, 17:3015,574no change
7 Aug 2026, 17:2815,574first reading

Engagement

233 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 32 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 233 posts for this entry, the most recent from 23 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1h 09m
Average length
54s

Measured directly from 77 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 233 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 233 most recent posts we hold, published 7 August 2026 to 23 August 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

23 Aug 2026, 09:48 UTC≈1,030 viewsread 23 August 2026
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#巴基斯坦资讯 打诈行动继续深挖!涉案人员达673人,两名政府人员被捕 巴基斯坦针对外国人涉嫌运营诈骗及非法呼叫中心的调查仍在扩大。 据巴基斯坦媒体最新披露,FIA与国家网络犯罪调查局(NCCIA)针对所谓 “Aofu Group” 网络展开调查,相关行动累计涉及673名被捕人员。案件不仅涉及网络诈骗及非法网络业务,目前调查重点已经进一步延伸至签证、移民手续以及政府内部人员涉嫌提供便利等问题。 报道显示,此案涉及的外国人员来自中国、越南、泰国、印度尼西亚、缅甸等多个国家。执法部门指控相关网络利用网络交友、视频聊天以及虚假投资等方式寻找目标,其中还涉及虚拟货币资金流转。目前大量手机、电脑及其他电子设备仍在接受取证分析。 更值得关注的是,调查已经牵出一条涉嫌帮助外国人员办理手续的内部协助链。 FIA伊斯兰堡地区负责人确认,目前已有一名护照部门人员和一名伊斯兰堡警方特别保护单位(SPU)人员被捕,另有一名涉嫌充当中间人的中国…

23 Aug 2026, 09:38 UTC842 viewsread 23 August 2026
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#巴基斯坦资讯 伊斯兰堡大规模清查后续:231名外国人被转送两座监狱 巴基斯坦近期针对外国人员的大规模清查行动仍在持续处理后续。 据巴基斯坦媒体报道,此前在伊斯兰堡一处商业大楼行动中被联邦调查局(FIA)及国家网络犯罪调查局(NCCIA)控制的外国人员中,目前已有231人被转送至两座监狱。 其中,205人被送往拉瓦尔品第阿迪亚拉中央监狱(Adiala Jail),另外26人被转送至阿托克地区监狱(Attock District Jail)。 报道显示,被转送人员涉及不同国籍,其中包括大量越南籍人员。相关外国人此前因涉嫌参与非法呼叫中心、数字诈骗活动,以及签证、居留等问题受到巴基斯坦执法部门调查。 这也是近期伊斯兰堡针对外国人员清查行动的进一步后续。随着被控制人员数量增加,当地有关部门开始陆续采取监狱羁押、身份核查、签证处理以及后续遣返等不同措施。 值得注意的是,人员被转送监狱并不意味着所有人已经被法院最终定罪。不同…

23 Aug 2026, 09:23 UTC862 viewsread 23 August 2026
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#国内资讯 上海“健康顾问”诈骗团伙专坑中老年人,涉案近9000万元 8月23日,中央广播电视总台中国之声披露上海浦东一起“健康顾问”诈骗案。一个专门在短视频平台引流的团伙,把普通保健品和非处方药包装成所谓“调理方案”,层层加价卖给中老年人,涉案“总业绩”接近9000万元。 这套套路并不复杂,却很能拿捏人。 团伙先以“健康调理中心”“健康顾问”“资深顾问”等身份吸引客户,用几百元、上千元的小套餐让人先下单。等产品吃了没效果,再以“体质特殊”“吸收不好”等理由继续制造健康焦虑,把客户一步步转给所谓“资深顾问”。 到了这一步,价格开始一路往上加。 几千元、上万元的“个性化方案”接连推出,卖多少钱并不是看病情,而是看客户有多少钱。经济条件越好,报价越高,单名受害者最多花了十几万元。 这些所谓“一人一方”的产品,实际上大多只是普通保健品、非处方药、代用茶、压片糖果和廉价中成药。部分产品最终售价达到成本价的10倍至40倍,却被…

23 Aug 2026, 09:02 UTC991 viewsread 23 August 2026
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#阿联酋资讯 迪拜酋长将承担1岁约旦女孩脊髓性肌萎缩症的治疗费用 迪拜媒体办公室周四(8月20日)发布声明称,迪拜统治者将承担一名患有脊髓性肌萎缩症的约旦小女孩的治疗费用。此前,这个家庭的求助在网上走红。 Katya Abu Al-Saud的治疗将全部由迪拜方面支付,并在迪拜Al Jalila医院进行。 Katya目前只有1岁零4个月。据媒体报道,她在6个月大时开始出现症状,父母发现她在运动方面的发育不如同龄孩子正常。 她的治疗费用高达240万美元(约合人民币1700多万),而家里负担不起。治疗需要注射一种基因疗法药物,而这种药物在约旦无法获得。 医生表示,这支关键的注射必须在两岁前完成。这个与时间赛跑的家庭,如今终于因为迪拜统治者的慷慨资助而得到了希望。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人…

23 Aug 2026, 08:45 UTC644 viewsread 23 August 2026
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#国际资讯 土耳其破获假基站诈骗案,7名中国籍人员被捕羁押 土耳其国家情报局联合检察、警方部门成功破获一起跨境假基站技术诈骗大案,抓获7名中国籍嫌疑人,目前全员已获法院批准羁押。 经查,该犯罪团伙分工明确、手段隐蔽,将假基站设备改装安置在租赁车辆内,在伊斯坦布尔、伊兹密尔、布尔萨等多城流动作业,窃取民众手机通信及设备数据,并回传至境内服务器。 同时团伙依托窃取信息实施网络钓鱼,冒充官方机构、大型企业发送虚假缴费短信,套取银行卡、信用卡等金融信息。警方已现场查扣涉案设备及大量电子资料,案件仍在深度侦办中。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人互助群 @Tai066 🇹🇭泰国大事件 @TaiG001 🥰投稿爆料,商务 @xiaoke6662

23 Aug 2026, 08:21 UTC10 viewsread 23 August 2026
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#柬埔寨资讯 柬埔寨10天内遣返307名涉案外籍人员 8月11日至20日期间,柬埔寨执法部门依法将307名(含68名女性)来自中国、越南、印尼等18个国家和地区的非法外籍人员驱逐出境。 据悉,被遣返人员涉嫌非法入境、伪造证件(如使用假QR码签证)、逾期居留、敲诈勒索、涉毒、非法务工及其他刑事犯罪。 柬官方表示将继续加大对各类涉外违法犯罪行为的打击力度。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人互助群 @Tai066 🇹🇭泰国大事件 @TaiG001 🥰投稿爆料,商务 @xiaoke6662

23 Aug 2026, 08:04 UTC10 viewsread 23 August 2026
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#马来西亚资讯 巴生 Meru 大巴刹展开移民执法行动 外籍人士身份受查 马来西亚移民局今晚在雪兰莪州巴生(Klang)Meru 大巴刹展开执法行动,对当地外籍人士及商贩进行身份检查。 行动期间,移民执法人员进入巴刹范围,对现场人员进行证件核查,并重点检查是否存在逾期逗留、非法工作以及违反移民条例等情况。 据悉,执法单位在行动中检查了多名外籍人士的护照及相关准证资料,部分人员因无法出示有效证件而被进一步调查。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人互助群 @Tai066 🇹🇭泰国大事件 @TaiG001 🥰投稿爆料,商务 @xiaoke6662

23 Aug 2026, 08:00 UTC2 viewsread 23 August 2026
Forwarded from @yunbo666888Photo

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23 Aug 2026, 07:54 UTC841 viewsread 23 August 2026
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#马来西亚资讯|卷走2000多人近6000万令吉!菲律宾“诈骗姐妹花”潜逃大马,受害者跨国设局抓人 一对菲律宾姐妹涉嫌卷入一起规模庞大的医美诊所投资骗局,在菲律宾卷走超过2000名投资者约**9亿菲律宾比索(接近6000万令吉)**后潜逃马来西亚,最终却被一路追来的受害者“设局”引出。 据报道,这对40多岁的姐妹于2022年开始以“专业人士”名义,在菲律宾多地推出医美诊所投资计划,以每月20%的高额回酬吸引投资者。短短两年内,相关诊所一度发展至22间,但两人随后被指于2024年卷款潜逃。 更离谱的是,两人潜逃马来西亚后,被指仍试图以他人身份寻找新的合作对象,疑似准备继续开展类似活动。 受害者没有坐等消息,而是委托人员追查两人的行踪,并专程从菲律宾来到马来西亚。为了让两姐妹主动现身,受害者假装自己有兴趣投资,最终成功将两人约到吉隆坡柏威年购物广场。 8月21日,两名受害者在现场设伏。两姐妹现身后被控制,并随后交由马来西亚警…

23 Aug 2026, 07:42 UTC6 viewsread 23 August 2026
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#老挝资讯 老挝三江凯撒公寓被突袭现场报道 8月22日,老挝公安部专项行动人员在万象三江市场一带展开集中清查,针对多个疑似涉及网络犯罪活动的地点同步采取行动。 此次清查涉及三江开元酒店、三江购物中心C门、湄公河万象古树茶餐厅5楼以及凯撒公寓等多个场所。执法人员进入现场后,对相关人员进行身份核查和控制,并查获多项涉案物品。 此次行动主要针对网络犯罪团伙展开,目前已控制部分目标人员并扣押相关证物,但具体人数、人员国籍、查获设备数量以及案件涉及金额等细节尚未公布。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人互助群 @Tai066 🇹🇭泰国大事件 @TaiG001 🥰投稿爆料,商务 @xiaoke6662

22 Aug 2026, 14:44 UTC716 viewsread 22 August 2026
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#马来西亚 马来警方两周缴获近 600 公斤毒品,部分外籍人员持旅游签证涉案 8 月 22 日消息,马来西亚雪兰莪州警方两周内开展扫毒行动,查获毒品近 600 公斤,抓捕 12 名嫌疑人。落网人员包含本国男子以及多名外籍人士,部分外籍嫌疑人持旅游签证入境参与贩毒,现场缴获冰毒、海洛因、大麻等大量毒品。 嫌疑人现已全部被拘留,警方持续深挖该案件背后的跨国贩毒网络。 #广告赞助 云博|主流平台统一推广与留存工具🔰无需额外落地页,一个后台管理多个品牌 😄 😅 😅😂👍 🐶 👍 👍 👍 ——————————————— 📱泰国华人互助群 @Tai066 🇹🇭泰国大事件 @TaiG001 🥰投稿爆料,商务 @xiaoke6662

Showing the 12 most recent of 233 posts we hold for @TaiG001. 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.

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

“taig001” (@TaiG001), 16 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/TaiG001.

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.