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Channel

迪拜/东南亚/大事件曝光生活资讯攻略

@tingyu0002

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

218,968subscribers

+14,353 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-1001870318608
TypeChannel
Username@tingyu0002
Description触犯政治,黄色,广告等条例,被踢除无法再进群 互助工作聊天群: @tingyu00001 日常吹水吹牛逼: @tingyu0001 迪拜大事件: @tingyu0002 柬埔寨大事件: @tingyu00002 听雨鉴黄: @tingyu0091 曝光联系:@Tingyukaka02 @SWHZ1999 甩人联系:@Tingyukaka01 删除曝光:@Tingyukaka02 广告联系:@Tingyukaka02 @SWHZ1999 飞机上粉: @SWHZ1999
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 live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/tingyu0002

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 88% 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 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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
@tingyu0002/63800 · this entry14 Aug 2026, 05:32 UTC@tingyu00002/640214 Aug 2026, 05:32 UTC1.00under a minute
@tingyu00002/642816 Aug 2026, 06:52 UTC@tingyu0002/63951 · this entry16 Aug 2026, 06:52 UTC1.00under a minute
@tingyu00002/642916 Aug 2026, 14:03 UTC@tingyu0002/63971 · this entry16 Aug 2026, 14:03 UTC1.00under a minute
@tingyu00002/647520 Aug 2026, 02:11 UTC@tingyu0002/64169 · this entry20 Aug 2026, 02:11 UTC1.00under a minute
@tingyu00002/653022 Aug 2026, 06:57 UTC@tingyu0002/64320 · this entry22 Aug 2026, 09:59 UTC1.003.0 hours
@tingyu0002/68499 · this entry5 Nov 2026, 09:16 UTC@tingyu00002/74265 Nov 2026, 09:24 UTC1.008 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
@tingyu0000224 (7/8 hand-verifiable sample passed)1.00under a minute@tingyu00002 (13–11)

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. 13 of the 13 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 1,824 comparable posts for this entry, running 7 August 2026 to 11 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @tingyu00002. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

195,655228,918212,286.5218,9687 August 202611 November 2026
64 measurements spanning 96 days, net +14,353. 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 190,666–233,907 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 00:56218,968-2,043
9 Nov 2026, 10:50221,011-2,820
8 Nov 2026, 02:58223,831-2,003
7 Nov 2026, 01:49225,834-1,643
6 Nov 2026, 04:55227,477-1,441
5 Nov 2026, 04:51228,918+21,284
4 Nov 2026, 05:47207,634-1,227
3 Nov 2026, 05:10208,861-755
2 Nov 2026, 02:58209,616-1,791
1 Nov 2026, 05:57211,407-1,696
31 Oct 2026, 07:38213,103-2,980
30 Oct 2026, 05:48216,083-1,990
29 Oct 2026, 06:46218,073+8,111
28 Oct 2026, 06:37209,962+14,307
27 Oct 2026, 07:39195,655-1,624
26 Oct 2026, 10:15197,279-2,702
25 Oct 2026, 09:11199,981-1,361
24 Oct 2026, 12:27201,342-2,603
23 Oct 2026, 12:49203,945+4,272
22 Oct 2026, 09:36199,673first reading

Engagement

2,676 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.28%
avg views ÷ 218,968 subscribers
Avg views / post
2,800
562 posts measured
Reaction rate
0.177%
reactions ÷ views · ER floor
Posts in window
767
of 2,676 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 383 of 562 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 11 November 2026
Posts held2,676 (7 August 2026 – 11 November 2026)
Views total1,571,416
Reactions total1,851
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:24 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
≈44,100
Videos
≈14,300
Links
≈19,300

Lifetime counters from Telegram’s own channel header, read 11 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
2h 37m
Average length
33s

Measured directly from 289 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

2,168 reactions across 493 posts, in 14 distinct kinds. The most used accounts for 18.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍39118.0%
👏27412.6%
❤22810.5%
⚡1918.81%
😁1768.12%
🎉1667.66%
🔥1647.56%
🥰1647.56%
🤩1426.55%
🕊1034.75%
😘954.38%
😎442.03%
😍291.34%
🤯10.046%

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 494 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 2,168 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 4 October 2026 to 11 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: 116 of 767 posts held from the last 30 days (15.1%) 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).

11 Nov 2026, 01:05 UTC42 views1 reactionsread 11 November 2026
Video

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🤩1

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11 Nov 2026, 00:01 UTC41 views1 reactionsread 11 November 2026
Photo

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10 Nov 2026, 19:03 UTC387 views1 reactionsread 11 November 2026
Video

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10 Nov 2026, 18:00 UTC444 views1 reactionsread 11 November 2026
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❤1

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10 Nov 2026, 17:02 UTC78 views1 reactionsread 11 November 2026
Photo

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❤1

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10 Nov 2026, 16:03 UTC≈10,500 views2 reactionsread 11 November 2026
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👍2

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10 Nov 2026, 16:01 UTC≈9,910 views1 reactionsread 11 November 2026
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10 Nov 2026, 16:00 UTC59 viewsread 11 November 2026
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10 Nov 2026, 14:40 UTC20 viewsread 10 November 2026
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10 Nov 2026, 14:02 UTC53 views1 reactionsread 10 November 2026
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10 Nov 2026, 13:44 UTC97 views1 reactionsread 10 November 2026
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#缅甸 #妙瓦底 #电诈头目 妙瓦底电信网络诈骗组织头目,福建漳平双洋籍大盘总华丁伟,此人华丁伟早期前往缅甸佤邦勐波县深度参与电信诈骗,主要针对国内老百姓实施男女包装精聊感情杀猪盘。 当初巅峰期,旗下200多名电诈人员,每月上千万、几千万、上亿不等的业绩,公司高压管理,十分苛刻残忍,封闭式管理,员工做满合同期还不让回家。 组织买卖人口之后转移缅甸大其力,缅甸东部妙瓦底地区继续开设盘口,目前长期盘踞境外。 ➖➖➖🔥🔥🔥🔥🔥➖➖➖ ✍投稿文案找光年:@Tingyukaka02 🛎广告招商:@Tingyukaka02 ✅订阅频道:@tingyu0002 东南亚听雨互助:@tingyu00001 柬埔寨东南亚频道:@tingyu00002

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Showing the 12 most recent of 2,676 posts we hold for @tingyu0002. 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.

Posts edited after publishing

@tingyu0002 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
30 October 2026
Most recent edit
30 October 2026

Posts recorded as deleted after publishing

We recorded 1 post on @tingyu0002 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
8 August 2026
Median time before seen missing
6.3 hours
Seen missing in the last 30 days
0

Mentions

Named by 5 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.

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.

迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#1
东南亚大事件 @svip
@bx666 · 462,405
#2
🇦🇪迪拜大事件I九尾曝光I全球新闻IDuBai生活资讯攻略🇦🇪
@Dubai1817 · 117,523
#3
东南亚
@dubai1w · 148,630
#4
🌏迪拜新闻曝光-安危头条🇦🇪迪拜通🔥
@dibaiTT · 153,378
#5
全球直招Global Recruitment 🌎 🌍 High Paying Chinese companies Jobs 可招翻译模特生活助理和员工...
@dubaisupportedservices · 2,944
#6
求职招聘频道
@DBZPH · 48,361
#7
🥇东南亚华人大事件
@DNY88880 · 100,998
#8
迪拜新闻|华人资讯曝光|dubai news
@Dubaihuarenzixun · 64,320
#9
🇦🇪迪拜大事件/东南亚新闻
@YYL333 · 105,699
#10
东南亚安危曝光|西港日记
@ZYWX6 · 86,382
#11
头条事件
@toutiaoshijian · 66,718
#12
菲律宾华人事件
@svip40 · 129,751
#13
🌏泰国新闻曝光-攻略头条🔥
@taiguopindao · 85,241
#14
头条大事件
@alqxzs · 45,259
#15
特区信息|技术频道
@VP2130123 · 3,728
#16
柬埔寨大事件|柬埔寨新闻|The Cambodia生活资讯
@jpz39 · 13,533
#17
迪拜大事件【新闻曝光】
@kz692nn · 123,607
#18
海外大事件(猎奇-吃瓜)
@aa144 · 34,618
#19
东南亚大事件|柬埔寨新闻|头号玩家生活资讯
@dny12378 · 66,417
#20
🌏迪拜求职招聘🇦🇪迪拜通🔥
@dibaiSB · 33,037
#21
迪拜新闻|华人资讯大曝光
@xinwen118 · 122,291
#22
东南亚大事件
@kanxia · 437,687
#23
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 43,983
#24
吃瓜群众🍉
@chigua2022 · 190,073
#25
东南亚大事件丨78.com冠名
@w1666 · 35,055
#26
迪拜 东南亚求职招聘
@Dubaiqzzp · 88,878
#27

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.

迪拜黑料大曝光
@kk4568 · 102,536
Telegram ranks this channel #1 of 63 here — alongside 62 others — read 14 August 2026
🌏迪拜新闻曝光-安危头条🇦🇪迪拜通🔥
@dibaiTT · 153,378
Telegram ranks this channel #2 of 41 here — alongside 40 others — read 12 August 2026
东南亚
@dubai1w · 148,630
Telegram ranks this channel #2 of 45 here — alongside 44 others — read 12 August 2026
🌏泰国新闻曝光-攻略头条🔥
@taiguopindao · 85,241
Telegram ranks this channel #4 of 27 here — alongside 26 others — read 12 August 2026
迪拜大事件【阿Q资讯】
@AQzx_3 · 81,470
Telegram ranks this channel #8 of 62 here — alongside 61 others — read 13 August 2026
东南亚大事件
@kanxia · 437,687
Telegram ranks this channel #20 of 62 here — alongside 61 others — read 10 August 2026
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 159,008
Telegram ranks this channel #23 of 49 here — alongside 48 others — read 14 August 2026
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 203,212
Telegram ranks this channel #23 of 75 here — alongside 74 others — read 11 August 2026
迪拜新闻🇦🇪
@dubaixinwen2 · 200,923
Telegram ranks this channel #23 of 69 here — alongside 68 others — read 11 August 2026
🇦🇪迪拜求职招聘
@dibaidddd · 111,070
Telegram ranks this channel #28 of 70 here — alongside 69 others — read 13 August 2026
东南亚头条
@nb688 · 331,884
Telegram ranks this channel #28 of 46 here — alongside 45 others — read 13 August 2026
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,896
Telegram ranks this channel #31 of 61 here — alongside 60 others — read 11 August 2026
柬埔寨新闻大事件
@jpz9118 · 70,179
Telegram ranks this channel #32 of 79 here — alongside 78 others — read 14 August 2026
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 82,671
Telegram ranks this channel #32 of 74 here — alongside 73 others — read 14 August 2026
迪拜求职招聘
@dibai2025 · 305,993
Telegram ranks this channel #32 of 74 here — alongside 73 others — read 10 August 2026
亚太大事件【阿Q资讯】
@AQzx_2 · 74,679
Telegram ranks this channel #35 of 65 here — alongside 64 others — read 14 August 2026
点亮曝光吧️💥
@baoguangba0 · 120,486
Telegram ranks this channel #40 of 63 here — alongside 62 others — read 12 August 2026
东南亚大事件🅥
@dashijianx · 203,778
Telegram ranks this channel #40 of 41 here — alongside 40 others — read 11 August 2026
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,508
Telegram ranks this channel #41 of 54 here — alongside 53 others — read 10 August 2026
新闻大事件【阿Q资讯】
@AQzx_1 · 148,677
Telegram ranks this channel #44 of 72 here — alongside 71 others — read 14 August 2026
亚太求职/甩人/找工作
@YTT789 · 291,549
Telegram ranks this channel #50 of 68 here — alongside 67 others — read 10 August 2026
迪拜新闻|华人资讯大曝光
@xinwen118 · 122,291
Telegram ranks this channel #59 of 78 here — alongside 77 others — read 15 August 2026
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 150,324
Telegram ranks this channel #59 of 63 here — alongside 62 others — read 12 August 2026

This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“迪拜/东南亚/大事件曝光生活资讯攻略” (@tingyu0002), 218,968 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/tingyu0002.

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.