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Channel

东南亚头条事件大曝光

@adqqjmjj

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

265,088subscribers

+22,921 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001822499856
TypeChannel
Username@adqqjmjj
Description全球华人的信息驿站与精神家园。 聚焦华人动态,提供实用资讯,传承文化薪火。 连接你我,服务华人。 #柬埔寨 #缅甸 #西港 #金边 #东南亚 📮商务/投稿: @xll8199
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/adqqjmjj

Topic

Gambling & betting — 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 71% 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.

Growth

195,347265,088230,217.57 August 2026 — 242,167 subscribers8 August 2026 — 241,679 subscribers9 August 2026 — 239,873 subscribers10 August 2026 — 230,939 subscribers11 August 2026 — 223,665 subscribers12 August 2026 — 238,600 subscribers14 August 2026 — 234,072 subscribers15 August 2026 — 228,926 subscribers16 August 2026 — 227,430 subscribers18 August 2026 — 225,643 subscribers19 August 2026 — 218,799 subscribers20 August 2026 — 213,993 subscribers20 August 2026 — 195,347 subscribers22 August 2026 — 204,848 subscribers24 August 2026 — 204,141 subscribers25 August 2026 — 205,555 subscribers26 August 2026 — 205,205 subscribers27 August 2026 — 205,010 subscribers28 August 2026 — 204,804 subscribers29 August 2026 — 204,422 subscribers30 August 2026 — 204,218 subscribers31 August 2026 — 214,106 subscribers1 September 2026 — 218,206 subscribers2 September 2026 — 217,549 subscribers3 September 2026 — 228,097 subscribers5 September 2026 — 222,443 subscribers8 September 2026 — 236,038 subscribers11 September 2026 — 238,383 subscribers13 September 2026 — 244,721 subscribers15 September 2026 — 246,868 subscribers17 September 2026 — 251,887 subscribers19 September 2026 — 258,014 subscribers26 September 2026 — 265,088 subscribers7 August 202626 September 2026
33 measurements spanning 50 days, net +22,921. 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 184,886–275,549 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 14:16265,088+7,074
19 Sept 2026, 17:19258,014+6,127
17 Sept 2026, 04:20251,887+5,019
15 Sept 2026, 01:38246,868+2,147
13 Sept 2026, 07:37244,721+6,338
11 Sept 2026, 08:16238,383+2,345
8 Sept 2026, 12:40236,038+13,595
5 Sept 2026, 04:18222,443-5,654
3 Sept 2026, 10:13228,097+10,548
2 Sept 2026, 06:04217,549-657
1 Sept 2026, 08:45218,206+4,100
31 Aug 2026, 08:56214,106+9,888
30 Aug 2026, 06:34204,218-204
29 Aug 2026, 06:58204,422-382
28 Aug 2026, 05:58204,804-206
27 Aug 2026, 08:08205,010-195
26 Aug 2026, 05:08205,205-350
25 Aug 2026, 07:52205,555+1,414
24 Aug 2026, 04:45204,141-707
22 Aug 2026, 10:06204,848first reading

Engagement

2,071 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 116 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.65%
avg views ÷ 265,088 subscribers
Avg views / post
4,370
1,076 posts measured
Reaction rate
0.057%
reactions ÷ views · ER floor
Posts in window
1,076
of 2,071 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 518 of 1,076 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 2 October 2026
Posts held2,071 (7 August 2026 – 2 October 2026)
Views total4,702,822
Reactions total1,246
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 20:52 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
≈14,600
Videos
≈689
Links
≈96

Lifetime counters from Telegram’s own channel header, read 2 October 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
47m 32s
Average length
16s

Measured directly from 180 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

1,183 reactions across 478 posts, in 11 distinct kinds. The most used accounts for 12.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏14812.5%
🔥14812.5%
🤩13611.5%
⚡13511.4%
❤13411.3%
😁12910.9%
🥰12610.7%
👍12410.5%
🎉1018.54%
🍾10.085%
😍10.085%

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 478 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 1,183 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 5 September 2026 to 2 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

2 Oct 2026, 20:03 UTC≈5,740 views3 reactionsread 2 October 2026
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#泰国新闻 【南奔村民采到巨型白蚁菇 不敢吃供奉僧侣】 重600克 恰逢彩票开奖日 村民视为幸运 不敢食用送寺庙 2026年10月1日,泰国南奔府班洪县班洪街道班帕普伊村,村民在社区林地采蘑菇时发现一朵巨型白蚁菇,重达600克。消息传开后,许多村民前来观看,因从未见过如此巨大的蘑菇。恰逢当天彩票开奖日,人们视其为幸运日,相信会带来好运。村民不敢烹饪食用,最终将蘑菇供奉给寺庙。 小编PS:菇:我逃过一劫

👏2😁1

2 Oct 2026, 19:01 UTC≈5,000 views1 reactionsread 2 October 2026
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#泰国新闻 【普吉机场与泰航合作加快归还滞留行李】 普吉岛机场 泰国航空 加快分拣 免费递送 直至全部归还 2026年10月1日,泰国普吉岛机场与泰国国际航空公司合作,加快归还自9月26日起受行李积压影响的旅客行李。机场调动全部支援人员分类,并设协调点监督流程,大批行李已逐步归还。未领取的旅客可获免费递送,或到国际航站楼一楼到达大厅泰航行李追踪部门自取。机场承诺加快速度直至全部归还。 小编PS:行李终于要回家了

🤩1

2 Oct 2026, 18:01 UTC≈3,330 views2 reactionsread 2 October 2026
Photo

#泰国新闻 【猜纳府市场冷清蔬菜涨价 洪灾加剧经济困境】 猜纳府市场冷清 蔬菜价格飙升 洪水影响 泰助泰系统故障 摊贩叹发不了财 2026年10月1日,泰国猜纳府帕西松生鲜市场,因恰逢彩票开奖日和“泰助泰加强版”资格审核系统故障,加上洪水导致蔬菜价格全面上涨,市场一片冷清。香菜从每公斤100涨至120泰铢,茄子从220涨至320泰铢。摊贩称购买力下降,生意难做,感叹“再也发不了财了”。 小编PS:菜比肉贵

🔥1🤩1

2 Oct 2026, 17:05 UTC≈2,630 views1 reactionsread 2 October 2026
Photo

#泰国新闻 【曼谷社区援助基金会呼吁团结抗洪 泰国人与外国人携手】 动员公众志愿者 向受灾社区提供食物饮用水 超100人参与 2026年10月1日,曼谷社区援助基金会(BCHF)呼吁在曼谷的泰国公民和外国人参与救助洪灾灾民。该基金会由两位旅居泰国15至20多年的外国人创立,在邦卡皮、沙潘松、空堤等区提供援助,超过100名团队成员和志愿者参与物资准备、运输和现场救援,并向受灾社区分发食物、饮用水和必需品。基金会接受捐款和物资捐赠,并邀请更多人加入。 小编PS:不分国籍一起扛

🥰1

2 Oct 2026, 16:03 UTC≈1,620 views1 reactionsread 2 October 2026
Photo

#泰国新闻 【“Suksomruay”派代表与Phetkasem基金会合作运营社区厨房 助洪灾灾民】 总理府部长指示 设救灾厨房 每天2万份餐盒 持续至灾情好转 2026年10月1日,根据泰国总理府部长苏克索姆鲁艾指示,国家乡村和城市社区基金办公室与佩卡森基金会在曼谷Khan Na Yao区联合设立救灾厨房,帮助受洪水影响民众。移动厨房每天准备2万份餐盒及饮用水,部长工作团队志愿者已连续三天帮忙。官方数据显示约9万人受灾,厨房将持续分发直至灾情好转。 小编PS:热饭暖人心

😁1

2 Oct 2026, 15:05 UTC≈1,110 views1 reactionsread 2 October 2026
Photo

#泰国新闻 【61岁妇女捕虾溺水身亡 疑抽筋被湍流冲走】 呵叻府兰塔孔河支流 与丈夫分头捕虾 听到呼喊不见人 帽子漂浮水面 遗体在河底发现 2026年10月1日早上8时左右,泰国呵叻府锡丘县空派镇班空派村与班农布亚村之间的兰塔孔河支流,一名61岁妇女与丈夫前往捕虾。因水流湍急,两人分头寻找。丈夫听到妻子呼喊却不见身影,只看到帽子漂浮水面,报警后救援人员在运河底部发现其遗体。初步推测她因水温低抽筋或遇漩涡失去平衡溺水,遗体已送锡基乌医院尸检。 小编PS:捕虾也要小心啊

😁1

2 Oct 2026, 14:21 UTC999 views4 reactionsread 2 October 2026
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#泰国新闻 【78岁男子昏厥误踩油门 撞入天华观音庙】 78岁司机 高血压昏厥 误踩油门 撞入庙内 一人重伤两人轻伤 2026年10月1日下午1时30分,曼谷三攀他旺区耀华力路天华基金会观音菩萨庙,78岁男子查伊罗伊驾车前往做功德途中,因高血压头晕昏厥,误踩油门冲入庙内,撞向约30名信众。60岁维帕重伤被困车下,21岁格雷格柴和27岁普雷普洛伊轻伤。酒精测试无酒精,观音像未损,当局考虑过失致人受伤指控。 小编PS:菩萨也拦不住

🤩3❤1

2 Oct 2026, 13:50 UTC915 viewsread 2 October 2026
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😀😀😀😀😀😀😀 😀😀😀😀😀 💞💞💞💞💞💞✡️😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 😀九博官方频道:👉@JBGJ 😀九博官方开奖:👉@JBKJ 😀九博上下分群:👉@jiubovip 😀九博国际主营: ⚡️😀😀😀 ⚡️ 😀😀 ⚡️😀😀 ⚡️😀😀 ⚡️😀😀⚡️😀😀❤️😀😀等多种游戏... 🔥九博扫雷点击进入🔥 全新玩法,震撼上线! 热门彩种,火力全开! 激情升级,精彩加倍! 抢先体验,赢在每一局 九博国际放心玩 · 放心赢 · 放心提! 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 🏦钱包验资: @kpay 💁‍♀️官方客服: @J111~@J888 💁‍♀️官方财务: @j444~@j666

2 Oct 2026, 13:41 UTC939 views3 reactionsread 2 October 2026
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#马来西亚新闻 【轿车突切车道酿祸 罗里失控撞死维护工】 南北大道往南18.5公里 罗里闪避失控撞另辆罗里 47岁巴基斯坦籍维护工头部重创当场身亡 2026年10月1日早上7时30分,马来西亚南北大道往南方向第18.5公里路段,一辆Luton型罗里因一辆不明轿车突然从右侧车道切入左侧车道而失控,猛撞停在紧急车道上的一辆日野罗里车尾。当时一名47岁巴基斯坦籍男子正站在车后涂刷路面标线,遭撞击后头部重创,当场身亡。警方援引危险驾驶导致他人死亡条文调查。 小编PS:乱切车道害死人

👍1👏1😁1

2 Oct 2026, 13:10 UTC≈1,000 viewsread 2 October 2026
Video

😀😀😀😀😀😀😀😀😀😀😀😀😀 ⚡全球U存U取最稳平台极速结算秒到账 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀 😀 新人免费红包8888U 😀 实时返水5.0%秒到账 😀 每日神秘彩金8888U 😀 每月21日领现金回馈 😀 加倍奖励100%无上限 😀强者恒强,全球精英玩家的唯一首选 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀 : @UUSS 😀😀😀😀 : @UUSS1 😀😀😀😀 : @UUSS2 😀😀😀😀 : @UUSS5 😀😀😀😀 : USDT.VIP

2 Oct 2026, 13:01 UTC≈1,080 views1 reactionsread 2 October 2026
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#马来西亚新闻 【女子疑卧躺大桥中央 遭轿车辗毙】 39岁精神障碍女子 凌晨卧躺苏丹马末大桥 28岁司机闪避不及 当场身亡 2026年10月2日凌晨1时15分左右,马来西亚瓜拉登嘉楼苏丹马末大桥,一名39岁精神障碍女子疑卧躺在桥中央,28岁男子驾车从瓜拉尼鲁斯返回乌鲁登嘉楼途中,因来不及闪避直接辗过女子,致其身体多处严重创伤当场身亡。司机未受伤,轿车无损坏,遗体已送苏丹娜诺查希拉医院法医部处理。 小编PS:大桥上躺着太危险

🥰1

2 Oct 2026, 12:20 UTC≈1,240 views4 reactionsread 2 October 2026
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#新加坡新闻 【涉泼红漆助阿窿骚扰 19岁青年三小时落网】 淡滨尼住宅遭泼红漆留欠债字条 警闪电逮捕 另涉两起类似案件 今被控 2026年9月30日晚上11时40分,新加坡警方接报,淡滨尼11街一住宅大门遭泼红漆并留下欠债字条。勿洛警署和警察行动指挥中心迅速调查,通过警方电眼锁定嫌犯,三小时内逮捕19岁青年。初步调查显示他还涉及另外两起类似阿窿骚扰案。他将于10月2日被控,若罪成初犯可判最长5年监禁、罚款5000至5万元及最多6下鞭刑。警方强调对阿窿骚扰零容忍。 小编PS:跑腿跑不掉了

🔥2👏1🤩1

Showing the 12 most recent of 2,071 posts we hold for @adqqjmjj. 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

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

“东南亚头条事件大曝光” (@adqqjmjj), 265,088 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/adqqjmjj.

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.