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Channel

TG每日事件-吃瓜-曝光

@TGmrcg

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

25,671subscribers

+9,006 since we began measuring on 2 September 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003901120477
TypeChannel
Username@TGmrcg
Description合作/投稿 认准: @zmjs97
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live5 November 2026
Measurements held34
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/TGmrcg

Topic

National news — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.

Growth

16,66546,53831,601.52 September 2026 — 16,665 subscribers3 September 2026 — 16,665 subscribers8 September 2026 — 46,538 subscribers11 September 2026 — 46,517 subscribers13 September 2026 — 46,427 subscribers15 September 2026 — 46,356 subscribers16 September 2026 — 46,320 subscribers19 September 2026 — 45,974 subscribers26 September 2026 — 45,942 subscribers4 October 2026 — 45,853 subscribers8 October 2026 — 38,473 subscribers13 October 2026 — 37,420 subscribers14 October 2026 — 36,724 subscribers15 October 2026 — 35,731 subscribers16 October 2026 — 35,704 subscribers17 October 2026 — 35,697 subscribers18 October 2026 — 35,676 subscribers19 October 2026 — 35,597 subscribers21 October 2026 — 35,585 subscribers22 October 2026 — 35,524 subscribers23 October 2026 — 35,441 subscribers24 October 2026 — 35,412 subscribers25 October 2026 — 35,403 subscribers26 October 2026 — 34,953 subscribers27 October 2026 — 34,931 subscribers28 October 2026 — 34,902 subscribers29 October 2026 — 34,869 subscribers30 October 2026 — 34,573 subscribers31 October 2026 — 28,070 subscribers1 November 2026 — 28,007 subscribers2 November 2026 — 27,569 subscribers3 November 2026 — 27,529 subscribers4 November 2026 — 25,697 subscribers5 November 2026 — 25,671 subscribers25,6712 September 20265 November 2026
34 measurements spanning 64 days, net +9,006. 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 12,184–51,019 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
5 Nov 2026, 12:3125,671-26
4 Nov 2026, 12:4725,697-1,832
3 Nov 2026, 10:1427,529-40
2 Nov 2026, 10:3527,569-438
1 Nov 2026, 13:1028,007-63
31 Oct 2026, 12:1028,070-6,503
30 Oct 2026, 12:1634,573-296
29 Oct 2026, 09:4634,869-33
28 Oct 2026, 06:2534,902-29
27 Oct 2026, 09:3734,931-22
26 Oct 2026, 07:4734,953-450
25 Oct 2026, 10:1935,403-9
24 Oct 2026, 11:4535,412-29
23 Oct 2026, 13:1135,441-83
22 Oct 2026, 11:2635,524-61
21 Oct 2026, 01:3735,585-12
19 Oct 2026, 23:2735,597-79
18 Oct 2026, 20:3035,676-21
17 Oct 2026, 19:1835,697-7
16 Oct 2026, 19:4635,704first reading

Engagement

1,173 posts held, back to 2 September 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 116 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.00%
avg views ÷ 25,671 subscribers
Avg views / post
1,280
622 posts measured
Reaction rate
1.65%
reactions ÷ views · ER floor
Posts in window
622
of 1,173 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 555 of 622 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 6 November 2026
Posts held1,173 (2 September 2026 – 6 November 2026)
Views total797,706
Reactions total12,849
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 06:10 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
≈5,980
Videos
≈665
Links
≈255

Lifetime counters from Telegram’s own channel header, read 6 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.

Video runtime
3h 03m
Average length
54s

Measured directly from 204 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

21,649 reactions across 915 posts, in 9 distinct kinds. The most used accounts for 11.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,49011.5%
🥰2,45611.3%
💯2,44811.3%
🔥2,42611.2%
❤‍🔥2,40111.1%
😍2,39511.1%
🤩2,36110.9%
🎉2,35710.9%
👍2,31510.7%

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 915 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 21,649 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 6 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 622 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).

6 Nov 2026, 05:20 UTC≈2,110 views20 reactionsread 6 November 2026
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#中柬合作 #基础设施建设 #柬埔寨发展 中柬联手修桥铺路建铁路! 柬埔寨与中国近日就桥梁、道路、铁路及污水处理等重点项目展开合作讨论,旨在强化交通互联互通,助力长期经济发展。双方聚焦四大领域,评估优先项目可行性,力求改善国内外物流效率,便利人员货物流动。 铁路与道路建设是重头戏,重点加强生产中心、工业区与交通枢纽的连接。此外,双方还探讨人力资源开发,通过技术培训提升柬方官员专业能力,确保拥有管理运营重大项目的熟练劳动力,实现“硬基建”与“软人才”双轮驱动。 此次合作契合柬埔寨《2023-2033年多式联运和物流系统综合总体规划》及“五角战略”,旨在建立高效物流网络,降低运输成本。作为迈向2050年高收入国家的关键举措,完善基础设施将有力吸引投资,支持工业扩张与贸易增长。

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6 Nov 2026, 04:33 UTC≈2,160 views20 reactionsread 6 November 2026
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#斯里兰卡反诈 #跨国犯罪 #科伦坡 斯里兰卡科伦坡重拳出击! 斯里兰卡这次真的“搞大事”了!在首都科伦坡的马拉达纳区,警方上演了一出精彩的抓捕行动。一个由中国、孟加拉国和印度人员组成的跨国网络诈骗团伙,竟然胆大包天到直接包下整栋大楼作为窝点,规模之大令人咋舌。 随着执法部门的雷霆行动,这群不法分子被当场抓获,现场画面也随之曝光。这不仅是当地治安的一次重大胜利,也再次警示我们:跨国电诈网络虽隐蔽,但天网恢恢,疏而不漏。无论躲在哪栋楼里,只要伸手,必被抓!

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6 Nov 2026, 03:22 UTC1 views27 reactionsread 6 November 2026
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#新加坡新闻 3名中国籍男子被带回Sim Lim Square调查,涉嫌利用盗刷银行卡信息实施诈骗 新加坡警方调查人员将3名中国籍男子——Ou Yang Ming、Zhang Pei及Li Yan Cheng,带回位于Sim Lim Square四楼的一家零售店进行调查。 据称,涉案人员疑似属于一个跨地区诈骗团伙,涉嫌利用盗取的信用卡及借记卡资料,在新加坡多个地点进行欺诈性交易。 目前,案件仍在调查中,涉案人员的具体分工及案件详情有待警方进一步公布。

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6 Nov 2026, 02:20 UTC≈2,480 views25 reactionsread 6 November 2026
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柬埔寨副首相巴速坤赴北京 出席第11届澜湄外长会 11月3日上午,柬埔寨副首相兼外交与国际合作大臣巴速坤率领代表团启程,前往中国北京出席第11届澜沧江-湄公河合作(LMC)外长会。此次会议于11月3日至4日举行。 据通报,此次澜湄外长会将重点评估《澜湄合作五年行动计划(2023-2026)》的落实进展,并就未来合作的重点领域和优先方向交换意见。会议旨在进一步巩固澜湄国家之间的传统友谊、团结互助与相互支持。 会议将重点推动澜湄次区域的可持续发展,并致力于提升区域内的社会与文化互联互通水平。 在参会期间,巴速坤还计划与中国外交部长王毅举行双边会谈。双方将探讨如何进一步深化中柬关系与务实合作,并就共同关心的地区和国际问题交换意见。

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6 Nov 2026, 01:31 UTC≈2,120 views22 reactionsread 6 November 2026
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#国内反诈 包括三星在内的中国安卓手机都预装“反诈程序” 11月2日,有网友在社媒发文称,手机预装的联通设备管理程序SystemHelper,不只出现在小米手机中,OPPO、vivo的公开历史记录里也能找到,而且使用非联通手机卡也可能触发信息上报。 他展示的程序代码截图中,还出现三星(DeviceInfoReaderSamSung)、一加(DeviceInfoReaderOnePlus)、真我(DeviceInfoReaderRealme)等品牌的设备信息读取标记。 按其引用的分析报告,在所分析的小米系统版本中,只要手机里的卡全部属于中国大陆运营商,连接Wi-Fi即可满足上报的网络条件。 报告提到,这套程序会检测手机是否已经完成开机激活,而且不会再单独弹出窗口,让用户针对这项数据采集进行确认同意。 程序能够读取手机里安装了哪些软件、各款软件的使用时长、消耗流量,同时还可以获取手机本身以及电话卡的识别信息。

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6 Nov 2026, 00:34 UTC≈2,190 views21 reactionsread 6 November 2026
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午夜西港,中国人打中国人! 据柬媒报道,昨天午夜12时许,西港三分区下市场附近发生一起涉及中国人的暴力冲突事件。现场视频显示,2名男子对另一名倒地的男子实施了殴打。 报道称,案发后,涉事双方均逃离现场。目前冲突原因不明,警方已介入调查。

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5 Nov 2026, 23:22 UTC≈1,910 views26 reactionsread 6 November 2026
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菲律宾帕赛市捣毁跨国包裹诈骗窝点,159名外国人获救,3名嫌疑人被捕 11月3日,菲律宾国家警察刑事调查与侦查组(PNP-CIDG)在马尼拉大都会帕赛市(Pasay City)展开突击行动,捣毁一处涉嫌经营跨国包裹诈骗的窝点,共有159名外国人获救,3名涉嫌运营该窝点的人员被捕,其中包括1名中国籍男子和2名马来西亚籍人员。 行动地点位于帕赛市 Cuneta Avenue 一栋大楼的15楼。获救人员包括中国、印度尼西亚、马来西亚及越南籍人士。据警方调查,部分人员原本以为赴菲律宾从事虚拟助理(VA)工作,抵达后却被安排参与网络诈骗活动。 警方调查发现,该团伙主要利用虚假包裹实施诈骗。诈骗人员首先冒充快递公司工作人员,通知受害者有包裹等待签收,随后另一名成员冒充警察,谎称包裹内含有毒品或违禁品,导致受害者涉嫌犯罪。之后,团伙再安排所谓的高级警官出面,以银行账户可能被冻结、个人财产可能被查封为由,诱骗受害者将资金转入指定的所谓安全…

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5 Nov 2026, 22:33 UTC≈2,100 views20 reactionsread 6 November 2026
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#缅甸资讯:军委会要求6个月内铲除掸邦东部电诈网络 核心指令:军委会高层在景栋会议及老缅边境会议上明确下达指令,要求在 6个月内彻底铲除掸邦东部的“KYA-PHANT”(电诈)犯罪。 联合打击:军委会正与中国、泰国合作,利用中泰提供的技术情报加快抓捕频率;同时美国也在与泰国协同推进打击行动。 外界质疑与痛点:当地居民指出,电诈集团的主要庇护者是军委会下属的民兵组织。由于各级官员贪腐受贿、包庇“自己人”,导致背后的幕后黑手与完整犯罪链条从未被真正查处。若不解决根源,难以在期限内实现根治。

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5 Nov 2026, 21:21 UTC≈1,840 views20 reactionsread 6 November 2026
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#马来西亚资讯:内长:逾1.8万人坠金融诈骗陷阱 10年损失高达12.3亿 内政部长拿督斯里赛夫丁指出,从2016年至今年8月,全国共有1万8213人沦为金融诈骗案受害者,损失总额高达12亿3000万令吉。 他昨日以国会书面回答行动党峇吉里区国会议员林冠英的提问时说,根据警方记录,当局在同一时期也针对相关罪行共提出1754项控状。 “国家诈骗应对中心于2022年10月12日开始运作至今年8月,当局已成功向受害者归还总额1401万令吉的款项。 “今年首8个月,当局共扣押914万令吉的涉案款项,其中667万令吉已归还受害者。” 他说,政府继续加强国家诈骗应对中心的运作,包括提供24小时运作的997诈骗举报热线。 他表示,警方也加强情报调查及金融鉴证分析,包括追查资金流向、侦破钱骡账户网络、展开联合执法行动,以及针对诈骗集团展开逮捕行动。 赛夫丁指出,政府通过落实刑事法典第424A至424D条文,加强打击滥用银行户头及支…

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5 Nov 2026, 20:44 UTC1 views21 reactionsread 6 November 2026
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#老挝资讯:两省向泰国移交58名涉诈人员,涉及电信诈骗、网络赌博及呼叫中心诈骗 11月2日,老挝沙耶武里省和波乔省先后向泰国移交两批涉嫌参与跨境诈骗活动的泰国籍人员,共计58人,涉及电信诈骗、网络赌博及呼叫中心诈骗等违法活动。 第一批移交行动发生在11月2日14时,地点位于老挝沙耶武里省与泰国黎府交界处的 Nam Nguong 泰老友谊桥。老挝有关部门向泰国移交40名泰国籍人员,其中男性27人、女性13人。这批人员涉嫌非法进入老挝境内,并参与组建电信诈骗及网络赌博团伙。移交后,泰国警方将相关人员送往黎府有关部门进行身份核查及后续调查。 同一天,老挝波乔省也向泰国移交18名涉嫌参与呼叫中心诈骗、网络诈骗及非法越境活动的泰国籍人员,其中男性12人、女性6人。此次行动中,相关部门还查获10台电脑和12部手机。11月3日,泰国方面对这批人员进行筛查,其中1人因涉嫌诈骗、输入虚假电脑数据,且涉及有效逮捕令,被当地警方带走进一步调查,…

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5 Nov 2026, 19:01 UTC≈2,050 views20 reactionsread 6 November 2026
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泰军在泰柬边境部署坦克 今天上午,东盟驻柬观察团(AOT-KH)前往柬泰边境班迭棉吉省现场调查。柬国防部通报,泰军在距观察点约250米处部署2辆坦克。 柬方称,自2025年底停火生效以来,泰军持续建设防御工事并占领土地,致1045户居民至今无法返回家园。

🤩5😍4❤3❤‍🔥2👍2🥰2🎉1🔥1

5 Nov 2026, 19:00 UTC≈2,090 views20 reactionsread 6 November 2026
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柬埔寨国家航空计划于12月中旬复航金边至万象直飞航线 柬埔寨民航民政特区国务秘书处发言人辛章塞利瓦塔透露,柬埔寨国家航空计划于2026年12月中旬恢复金边与老挝万象之间的直飞航班,每周3班(周三、五、日),连接金边德崇国际机场与万象瓦岱国际机场。 该航线拟采用中国商飞国产客机COMAC C909或其他适用机型执飞。此举系柬航客机现代化与航线扩张计划的一部分,旨在深化两国经贸、旅游及人文交流,推动东盟与湄公河次区域的互联互通。

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Showing the 12 most recent of 1,173 posts we hold for @TGmrcg. 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

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 6 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“TG每日事件-吃瓜-曝光” (@TGmrcg), 25,671 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/TGmrcg.

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.