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Channel

全球大事件🌍 「TIKTOK官方」

@qqdsj

3 usernames

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

166,859subscribers

-53,880 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-1001876981017
TypeChannel
Usernames@hrdsjlm @qqdsj @xinwenboss
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 live10 November 2026
Measurements held173
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/qqdsj

Topic

Other / unclassifiable — 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 52% 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 12 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
@qqdsj/133638 · this entry26 Oct 2026, 11:46 UTC@ZLWBG/8604426 Oct 2026, 11:54 UTC0.978 minutes
@qqdsj/129678 · this entry19 Sept 2026, 16:50 UTC@ZLWBG/8344219 Sept 2026, 20:04 UTC0.963.2 hours
@qqdsj/130683 · this entry29 Sept 2026, 17:20 UTC@ZLWBG/8433529 Sept 2026, 17:24 UTC0.964 minutes
@qqdsj/131951 · this entry11 Oct 2026, 09:48 UTC@ZLWBG/8513911 Oct 2026, 10:05 UTC0.9516 minutes
@qqdsj/130303 · this entry25 Sept 2026, 17:39 UTC@ZLWBG/8398125 Sept 2026, 17:56 UTC0.9516 minutes
@qqdsj/133966 · this entry30 Oct 2026, 08:32 UTC@ZLWBG/8632830 Oct 2026, 08:34 UTC0.942 minutes
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
@ZLWBG43 (8/8 hand-verifiable sample passed)0.956 minutesthis entry (42–1)
@mianbeiy40 (8/8 hand-verifiable sample passed)1.002.0 hoursthis entry (38–2)
@quanwangbaoguangb35 (7/8 hand-verifiable sample passed)0.993.5 hours@quanwangbaoguangb (29–6)
@baoguang202233 (7/8 hand-verifiable sample passed)1.0023 hours@baoguang2022 (17–16)
@baoguangba023 (8/8 hand-verifiable sample passed)1.0017 hours@baoguangba0 (12–11)
@xinwen6666617 (7/8 hand-verifiable sample passed)1.002.8 hoursthis entry (16–1)
@quanqiubaoliao17 (7/8 hand-verifiable sample passed)1.002.8 hoursthis entry (16–1)
@newsxxnx15 (6/8 hand-verifiable sample passed)1.003.0 hoursthis entry (15–0)
@cctvzb14 (8/8 hand-verifiable sample passed)1.004.6 hoursthis entry (13–1)
@pzbgfabu66613 (7/8 hand-verifiable sample passed)1.0028 hoursthis entry (7–6)
@Butterfly_AF8 (8/8 hand-verifiable sample passed)1.0071 minutesthis entry (8–0)
@AQqiyue8 (8/8 hand-verifiable sample passed)1.002.7 hoursthis entry (7–1)

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. 92 of the 92 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 1,736 comparable posts for this entry, running 7 August 2026 to 3 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 · clone_source, 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

149,322220,739185,030.5166,8597 August 202610 November 2026
173 measurements spanning 95 days, net -53,880. 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 138,609–231,452 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 173
Measured (UTC)SubscribersChange
10 Nov 2026, 14:38166,859-37
10 Nov 2026, 13:58166,896-463
10 Nov 2026, 07:55167,359-2,302
9 Nov 2026, 02:21169,661no change
8 Nov 2026, 23:47169,661-658
8 Nov 2026, 17:16170,319-1,727
7 Nov 2026, 20:38172,046no change
7 Nov 2026, 18:47172,046-605
7 Nov 2026, 08:40172,651-1,843
6 Nov 2026, 15:37174,494-171
6 Nov 2026, 14:56174,665-174
6 Nov 2026, 06:37174,839-632
5 Nov 2026, 16:56175,471no change
5 Nov 2026, 16:56175,471-740
5 Nov 2026, 09:17176,211-1,081
4 Nov 2026, 15:48177,292-36
4 Nov 2026, 14:29177,328-200
4 Nov 2026, 05:27177,528-1,496
3 Nov 2026, 19:17179,024-476
3 Nov 2026, 15:40179,500first reading

Engagement

1,938 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 182 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.97%
avg views ÷ 166,859 subscribers
Avg views / post
6,630
429 posts measured
Reaction rate
0.017%
reactions ÷ views · ER floor
Posts in window
429
of 1,938 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 92 of 429 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 3 November 2026
Posts held1,938 (7 August 2026 – 3 November 2026)
Views total2,845,056
Reactions total96
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 14:44 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

Video runtime
5h 19m
Average length
41s

Measured directly from 467 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

261 reactions across 232 posts, in 11 distinct kinds. The most used accounts for 14.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏3914.9%
❤3613.8%
🎉3513.4%
🔥3312.6%
👍3011.5%
⚡259.58%
🤩249.20%
🥰228.43%
😁155.75%
👌10.383%
🤔10.383%

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 241 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 261 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 17 September 2026 to 3 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: 29 of 429 posts held from the last 30 days (6.76%) 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).

3 Nov 2026, 14:42 UTC12 viewsread 3 November 2026
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3 Nov 2026, 14:37 UTC18 viewsread 3 November 2026
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3 Nov 2026, 14:34 UTC120 viewsread 3 November 2026
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#菲律宾 #索莱尔 #暂停办公通知 因菲律宾将于2026年11月14日至18日举行东盟 (ASEAN) 所有大楼全部暂停办公。

3 Nov 2026, 14:33 UTC≈2,160 viewsread 3 November 2026
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🇲🇾 跨境偷渡集团被捣毁 36人落网含25名印尼籍人士 马来西亚雪兰莪州警方近日在沙白安南地区展开代号为 Ops Pintas Som 的专项执法行动,成功捣毁一个涉嫌经营跨境人口偷渡活动的犯罪集团,共逮捕三十六人。据马新社十一月三日报道,警方于十一月一日至二日联合无人机行动小组及水警部队,在沙白安南地区三个地点展开突击行动。落网人员包括二十五名印尼籍人士,其中有二名孩童,另有十二人涉嫌充当偷渡人员的转运司机。警方初步调查发现,该集团涉嫌利用未经授权的非法通道,协助外国人非法进出马来西亚,并向每名偷渡者收取一千五百至一千八百令吉费用。人员入境后,集团还会安排车辆将他们转运至巴生谷地区,额外收费五百令吉起,具体金额视运输距离而定。警方在行动中查获十一辆各类车辆、十三部手机及四千九百三十令吉现金。目前,警方援引《2007年反人口贩运及反偷渡移民法令》(ATIPSOM)及《1959/63年移民法令》展开调查,并继续追查犯罪集团背后的…

3 Nov 2026, 14:32 UTC≈8,600 viewsread 3 November 2026
Video

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3 Nov 2026, 10:50 UTC≈8,880 viewsread 3 November 2026
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#迪拜 #越南 #炮房 #名媛会所 因内部女孩子长期吸毒贩毒再次被抓,总共抓了30个左右越南妹子,全是大长腿。

3 Nov 2026, 10:49 UTC≈8,980 viewsread 3 November 2026
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霸气代理 真名: #王志坤,杰里 管理 真名:#王志军,原12号码头三楼,还有东美园区霸气团队#杰里,嚣张至极! 霸气团队在东美园区期间,每天目标盈利1500U。如果没有达到目标,就会叫人打、叫人电。基本上没有达到目标的,全部都是15棍,不然就是用电棒电1分钟,长期处于高压状态,一个人没有完成目标,全体集体受罚。 杰里在12号码头目中无人,强迫底下的员工跟他一起做爱。如果拒绝,他就会把那个员工开除。在12号码头,两人已经在中国有儿有女,在缅甸却同用一女。畜生! 我们从12号码头转到了交克。他的手下员工忍受不了他的长期折磨,包括他自己的员工,陆续离开了他。然后他又去买人,口口声声说的是去救人,但是买过来以后,依旧是高压管理、毒打,动不动就要打人。 现在又搬去了普鲁园区。今年过年那天,园区陆续在死人,之后又买了一大堆人过来,开始天天高压管理。没有达到目标的人,要么被电,要么被关小黑屋,要么被打,根本不管他人的死活。 霸气…

Signed 天道(Lucas)

3 Nov 2026, 09:59 UTC≈8,880 viewsread 3 November 2026
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#网友投稿:又抓走几个! 刚刚,西港乐信小区,又有几个被抓了。好像是没有护照!

3 Nov 2026, 09:31 UTC≈8,080 viewsread 3 November 2026
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金边BKK警方打掉一孟加拉国盘口 昨天下午,金边市BKK区统一指挥委员会联合警方,对该区第三分区350号路55号大楼进行了突击行政搜查。 经金边市警察局专业人员对现场电脑和手机进行技术鉴定后得出结论:该团伙隐蔽从事网络诈骗犯罪活动,其作案手法是以柬埔寨为据点设立虚假银行平台,向孟加拉国民众提供非法网络贷款并实施诈骗。 目前,所有嫌疑人及涉案证物已被移送至金边市警察局,以依法进一步处理。

3 Nov 2026, 08:31 UTC≈8,040 viewsread 3 November 2026
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话说, 烧不起油在西港趴窝的邮轮 今天下午就要离开西港了 在此期间,邮轮上这些白人老爷 其实一点儿也不委屈 不但有椰子、香蕉等水果送上 晚上还有海边大餐 本地官员哈腰敬酒 大家随意,我干了! 就说吧, 关警察局小屋的人 是不是就觉得特别委屈 同样是人,差别咋这么大? 你在西港待好几年, 吃喝拉撒也是贡献GDP 怎么就赶不上刚来三天的邮轮乘客?

3 Nov 2026, 07:31 UTC≈12,800 viewsread 3 November 2026
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🇰🇭西港一代佳人女员工称遭绑架性侵被转40万,求救赵旗峰后遭拉黑? 投稿人称,2025年6月凌晨2点左右,她被一代佳人妈咪小龙女叫去上班,下班后客人要求陪同。她曾向小龙女和一代佳人赵旗峰(赵总)说明是自来客、自己害怕不敢去,但两人均称没事并让她去。她随后在公司门口蓝色海湾遭绑架。绑匪蒙眼捆手脚,将其带至偏远房屋,三天内殴打、性侵并拍视频照片,逼问解锁、微信、飞机及银行卡密码,转走人民币30w+及首饰约10w,共约40w。期间她借领工资之机向赵旗峰发定位求救,未获解救;第三天被逼借钱,赵旗峰称只能借5000人民币,绑匪暴怒并在山上折磨她近四小时,后她向国内小姐妹借到5w才于当晚10点多被放走。回国后她因治疗和生活费联系赵旗峰求公司补贴,却遭拉黑删除。她还称赵旗峰曾劝她不要回国、去报案,却在她登机前把此事发到东南亚大黑事件群曝光,致绑匪恐吓她并注销飞机号。她要求一代佳人给说法。 #柬埔寨西港 #一代佳人 #蓝色海湾 #绑架勒索 …

2 Nov 2026, 19:20 UTC≈11,900 viewsread 3 November 2026

#频道互推 #相似推荐 ------------------------------ 📢 缅北老街吃瓜中心 📢 妈妈 母子 乱伦 新闻 📢 东南亚DJ俱乐部 📢 东南亚时报|柬埔寨大事件|爆料|吃瓜 📢 东南亚华人曝光 📢 东南亚全网曝光✨新闻✨头条✨悬赏 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 东南亚曝光新闻[78.com独家冠名] 📢 全网大事件曝光骗子 📢 柬埔寨-泰国-头条事件 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

Signed SOSO搜搜

Showing the 12 most recent of 1,938 posts we hold for @qqdsj. 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

头条事件
@toutiaoshijian · 66,698
#1
菲律宾华人事件
@svip40 · 129,751
#2
热点新闻
@redian3 · 61,886
#3
菲龙网新闻中文媒体【官方】
@feilongwang · 68,697
#4
跑路人员曝光频道
@TG_368 · 10,591
#5
今日全网曝光频道
@bg855 · 2,736
#6
《今日新闻》
@cctvPH · 131,604
#7
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,379
#8
今日头条
@jinritoutiao6 · 11,791
#9
安危事件
@anwei2 · 32,247
#10
斯里兰卡头条新闻曝光
@baoguangee · 198,457
#11
东南亚沸点Time🥇
@vip35r · 23,635
#12
菲律宾⚜️大事件
@dashijian01 · 22,266
#13
东南亚大事件 @svip
@bx666 · 462,405
#14
菲律宾华人事件
@feilvbinghuarenriji · 14,475
#15
博度东南亚大事件 @bdtime
@bodutt · 66,197
#16
新闻早班车🐾
@tg04277 · 55,896
#17
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,667
#18
东南亚头条吃瓜
@svipzz · 58,665
#19
吃瓜新闻大曝光
@jiuboo · 14,043
#20
柬埔寨西港曝光吃瓜新闻
@kaleminews · 177,158
#21
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,372
#22
菲律宾新闻频道
@baoguangqun999 · 67,847
#23
《今日热点》东南亚大事件
@dk789 · 148,638
#24
🍀我的小生活🎈
@Myfunlife7 · 388
#25
菲律宾头条爆料(Bole新闻)
@phnews · 17,039
#26
新闻热点
@xinwen898 · 4,011
#27
大象曝光|新闻
@dxdb001 · 4,720
#28
今日头条
@baoguang_g · 64,674
#29
全网曝光
@quanwangbaoguang0 · 168,315
#30
新华社丨新闻曝光
@iiiik · 33,502
#31
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 193,543
#32
玖鼎E投官方频道
@Egame9D · 4,674
#33
华人头条大事件曝光
@huarenvvip · 31,360
#34
新闻大白话
@HR1231111 · 953
#35
今日大事件
@uuu8u · 53,965
#36
吃瓜群众🍉
@chigua2022 · 190,073
#37

Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

热点新闻
@redian3 · 61,886
Telegram ranks this channel #2 of 40 here — alongside 39 others — read 23 August 2026
菲龙网新闻中文媒体【官方】
@feilongwang · 68,697
Telegram ranks this channel #5 of 48 here — alongside 47 others — read 18 August 2026
头条事件
@toutiaoshijian · 66,698
Telegram ranks this channel #7 of 33 here — alongside 32 others — read 18 August 2026
《今日新闻》
@cctvPH · 131,604
Telegram ranks this channel #7 of 22 here — alongside 21 others — read 11 August 2026
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 193,543
Telegram ranks this channel #8 of 71 here — alongside 70 others — read 11 August 2026
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 99,381
Telegram ranks this channel #9 of 68 here — alongside 67 others — read 15 August 2026
东南亚安危头条事件🅥
@AnWei08 · 59,813
Telegram ranks this channel #10 of 55 here — alongside 54 others — read 24 August 2026
菲律宾华人事件
@svip40 · 129,751
Telegram ranks this channel #10 of 37 here — alongside 36 others — read 17 August 2026
全网曝光
@quanwangbaoguang0 · 168,315
Telegram ranks this channel #10 of 71 here — alongside 70 others — read 15 August 2026
斯里兰卡头条新闻曝光
@baoguangee · 198,457
Telegram ranks this channel #10 of 46 here — alongside 45 others — read 11 August 2026
新闻早班车🐾
@tg04277 · 55,896
Telegram ranks this channel #11 of 66 here — alongside 65 others — read 22 August 2026
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,667
Telegram ranks this channel #11 of 65 here — alongside 64 others — read 13 August 2026
东南亚曝光吧(吃瓜)
@SB919 · 120,228
Telegram ranks this channel #12 of 68 here — alongside 67 others — read 14 August 2026
《今日热点》东南亚大事件
@dk789 · 148,638
Telegram ranks this channel #13 of 36 here — alongside 35 others — read 24 August 2026
东南亚热点资讯
@rdzx0 · 87,083
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 18 August 2026
博度东南亚大事件 @bdtime
@bodutt · 66,197
Telegram ranks this channel #15 of 62 here — alongside 61 others — read 21 August 2026
全球华人大事件曝光
@qqhrdsjbg · 161,220
Telegram ranks this channel #17 of 71 here — alongside 70 others — read 11 August 2026
东南亚有话说 @shuoo
@db933 · 186,963
Telegram ranks this channel #20 of 65 here — alongside 64 others — read 11 August 2026
菲龙网海外华人新闻资讯
@flwph99 · 97,851
Telegram ranks this channel #23 of 72 here — alongside 71 others — read 15 August 2026
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 150,324
Telegram ranks this channel #25 of 63 here — alongside 62 others — read 12 August 2026
东南亚闯荡记🪐
@ac666 · 319,437
Telegram ranks this channel #25 of 61 here — alongside 60 others — read 10 August 2026
东南亚快曝光
@f_kbg · 208,937
Telegram ranks this channel #27 of 50 here — alongside 49 others — read 14 August 2026
吃瓜视频
@pdsss · 52,690
Telegram ranks this channel #29 of 51 here — alongside 50 others — read 23 August 2026
阳光新闻|东南亚资讯
@xinwen1 · 96,302
Telegram ranks this channel #30 of 70 here — alongside 69 others — read 18 August 2026

This channel appears in 39 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“全球大事件🌍 「TIKTOK官方」” (@qqdsj), 166,859 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/qqdsj.

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.