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Telegram profile photo for 东南亚狗推快讯(曝光)📱‼️

Channel

东南亚狗推快讯(曝光)📱‼️

@gtkx1

3 usernames

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

151,174subscribers

-21,262 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001826807043
TypeChannel
Usernames@dny168 @gtkx1 @gtkx888
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held184
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/gtkx1

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 99% 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 word for word on 6 other registered channels. They sit inside a group of 8 channels that share the same post bodies with each other. 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
@gtkx1/122238 · this entry7 Aug 2026, 04:49 UTC@bxc888/498387 Aug 2026, 08:16 UTC1.003.5 hours
@gtkx1/122240 · this entry7 Aug 2026, 04:49 UTC@bxc888/498367 Aug 2026, 08:15 UTC1.003.4 hours
@gtkx1/122241 · this entry7 Aug 2026, 04:50 UTC@bxc888/498347 Aug 2026, 08:15 UTC1.003.4 hours
@gtkx1/122242 · this entry7 Aug 2026, 04:50 UTC@bxc888/498327 Aug 2026, 08:15 UTC1.003.4 hours
@gtkx1/122243 · this entry7 Aug 2026, 04:50 UTC@bxc888/498307 Aug 2026, 08:14 UTC1.003.4 hours
@gtkx1/122248 · this entry7 Aug 2026, 04:53 UTC@bxc888/498287 Aug 2026, 08:11 UTC1.003.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bxc8888 (8/8 hand-verifiable sample passed)1.003.4 hoursthis entry (8–0)
@DNYXW0088 (8/8 hand-verifiable sample passed)1.003.4 hoursthis entry (8–0)
@haixiashibao16 (6/6 hand-verifiable sample passed)1.0080 minutesthis entry (6–0)
@hxsbl6 (6/6 hand-verifiable sample passed)1.0078 minutesthis entry (6–0)
@quanwangdsj5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)
@DNYQWCG5 (5/5 hand-verifiable sample passed)1.00under a minute@DNYQWCG (3–2)

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. 5 of the 5 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 49 comparable posts for this entry, running 6 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 8, the earliest publisher we hold is @gtkx1 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 8 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 7 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

151,174174,777162,975.56 August 20267 November 2026
184 measurements spanning 93 days, net -21,262. 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 147,634–178,317 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 184
Measured (UTC)SubscribersChange
7 Nov 2026, 12:58151,174-42
7 Nov 2026, 10:17151,216-81
7 Nov 2026, 07:07151,297-418
6 Nov 2026, 14:48151,715-24
6 Nov 2026, 13:51151,739-150
6 Nov 2026, 08:16151,889-196
5 Nov 2026, 17:16152,085-48
5 Nov 2026, 15:29152,133-232
5 Nov 2026, 07:00152,365-240
4 Nov 2026, 18:40152,605-64
4 Nov 2026, 13:15152,669-97
4 Nov 2026, 05:55152,766-421
3 Nov 2026, 16:00153,187no change
3 Nov 2026, 15:55153,187-290
3 Nov 2026, 06:31153,477-536
2 Nov 2026, 15:15154,013no change
2 Nov 2026, 15:05154,013-182
2 Nov 2026, 05:28154,195-176
1 Nov 2026, 14:09154,371-40
1 Nov 2026, 12:25154,411first reading

Engagement

2,857 posts held, back to 6 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 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.01%
avg views ÷ 151,174 subscribers
Avg views / post
6,070
628 posts measured
Reaction rate
0.368%
reactions ÷ views · ER floor
Posts in window
882
of 2,857 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 109 of 628 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 held2,857 (6 August 2026 – 6 November 2026)
Views total3,811,335
Reactions total2,464
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 03:09 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
1h 17m
Average length
19s

Measured directly from 246 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

3,408 reactions across 158 posts, in 13 distinct kinds. The most used accounts for 53.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,80753.0%
🔥93227.3%
👍63418.6%
🤩80.235%
😁60.176%
🥰60.176%
🎉40.117%
👏40.117%
⚡20.059%
💯20.059%
🙏10.029%
🤔10.029%
🤯10.029%

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 159 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 3,408 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 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 882 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, 18:30 UTC≈7,950 viewsread 7 November 2026
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6 Nov 2026, 18:00 UTC≈9,850 viewsread 7 November 2026
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6 Nov 2026, 17:00 UTC≈7,580 viewsread 7 November 2026
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6 Nov 2026, 16:09 UTC≈7,980 viewsread 7 November 2026
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6 Nov 2026, 14:55 UTC≈6,230 viewsread 7 November 2026
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Showing the 12 most recent of 2,857 posts we hold for @gtkx1. 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

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

东南亚沸点Time🥇
@vip35r · 26,128
#1
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#2
东南亚曝光网
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#3
最前线大事件曝光
@cctv_dy · 22,407
#4
东南亚BC热点新闻
@baoguangqun110 · 69,243
#5
迪拜新闻|华人资讯大曝光
@xinwen118 · 121,807
#6
heicaibaog
@heicaibaog · 10
#7
东南亚曝光黑平台灰产绑架吃瓜
@TGPG999 · 4,570
#8
安危事件
@anwei2 · 32,709
#9
【曝光频道】迪拜菲律宾东南亚最新资讯
@baoguang212 · 4,441
#10
菲律宾⚜️大事件
@dashijian01 · 25,693
#11
东南亚大事件 @svip
@bx666 · 462,295
#12
全球资讯曝光大事件
@nnccqq · 37,561
#13
中文安危曝光🌸海外华人日记
@tghuarenba · 20,354
#14
菲律宾大事件灰产新闻/曝光
@tg89aa · 116,876
#15
吃瓜驿站😋🍉
@DNYQWCG · 74,252
#16
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 235,247
#17
菲律宾新闻频道
@baoguangqun999 · 68,290
#18
东南亚大事件/头条事件
@toutiao_4 · 1,087
#19
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 46,590
#20
东南亚吃瓜🍉
@dny1577 · 5,057
#21
东南亚新闻💎
@vipn8888 · 58,030
#22
新博东南亚新闻
@xbbg8 · 248
#23
东南亚头条吃瓜
@svipzz · 61,332
#24
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 902
#25
金三角爆料
@ZLSjpz · 745
#26
东南亚🇨🇿今日头条
@huohu158 · 191,413
#27
菲律宾华人事件
@feilvbinghuarenriji · 14,745
#28
🇨🇳华人社东南亚大事件
@hrs166 · 37,812
#29
博度-东南亚曝光新闻
@bodu08 · 55,928
#30
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,525
#31
泰国新闻|华人资讯曝光|thailand news
@taiguohuarenzixun · 73,009
#32
《迪拜曝光》迪拜新闻
@baoguangi · 10,466
#33
今日聚焦曝光
@a0159 · 87,529
#34
Makati新闻社
@makatinews · 67,648
#35
菲律宾热点新闻【东南亚一手新闻】
@redianxinwenpindao · 3,666
#36
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 133,192
#37
曝光黑平台&黑佣金
@BG886 · 52,870
#38
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 68,603
#39
菲龙网新闻|官方频道
@woaiui · 8,208
#40
东南亚新闻大事件
@bvl222 · 43,348
#41
东南亚快讯-全网曝光
@bg888e · 50,481
#42
安危事件
@flbhuarenquan · 78,692
#43
海华大事件❖6U.com娱乐首选🅥
@bx777 · 30,050
#44
华人头条大事件曝光
@huarenvvip · 31,923
#45
今日全网曝光 @baogua
@baogua · 614
#46
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,689
#47
东南亚曝光/大事件
@dny099 · 202,347
#48
博彩黑平台曝光🔍
@uuuuuf · 176,822
#49
柬埔寨西港大事件
@BG423 · 26,407
#50
大象曝光|新闻
@dxdb001 · 4,757
#51
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 68,971
#52
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 72,958
#53
全网曝光
@quanwangbaoguangb · 127,488
#54
华人大事件-吃瓜新闻
@baoguang821 · 45,674
#55
天下支付曝光平台
@TXJT_01 · 3,767
#56
全球头条新闻
@ydttbg1 · 28,968
#57
泰国大事件
@dnyxst · 68,999
#58
新闻早班车🐾
@tg04277 · 60,400
#59
全网曝光|东南亚日记
@bbb1b · 313,035
#60
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,667
#61
东南亚快讯|海外曝光【9y.com冠名】
@DNYKX · 53,013
#62
曝光频道
@baoguang_w · 74,197
#63
今日头条 曝光频道
@jrttbg · 108,204
#64
全球曝光求职
@AirdropVerifieSdss · 58,245
#65
柬埔寨大事件/曝光
@jpz0123 · 49,957
#66
骗子曝光
@pzbgfabu666 · 286,064
#67
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,884
#68
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,534
#69
Crypto Whale Pumps
@Cryptowhalepump_official · 18,603
#70
东南亚大事件
@chadnag001 · 26,012
#71
东南亚曝光频道
@BG2288 · 121,636
#72
菲律宾大事件 全球曝光🚀
@feilvbin198 · 83,487
#73
БелНовости
@belnewsby1 · 50,949
#74
AsiaToday
@kazan_bass · 120,545
#75
Аутсайдер UA
@outsiderukraine · 39,304
#76

Read from Telegram’s recommendation API, most recently 14 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.

东南亚曝光台☎️
@DNYBG234 · 88,843
Telegram ranks this channel #3 of 77 here — alongside 76 others — read 16 August 2026
吃瓜驿站😋🍉
@DNYQWCG · 74,252
Telegram ranks this channel #6 of 57 here — alongside 56 others — read 19 August 2026
东南亚大事件
@chadnag001 · 26,012
Telegram ranks this channel #12 of 24 here — alongside 23 others — read 1 September 2026
曝光/吃瓜/搞笑/大事件【南派】🔴
@chigua_08 · 81,526
Telegram ranks this channel #16 of 18 here — alongside 17 others — read 22 September 2026
全球资讯曝光大事件
@nnccqq · 37,561
Telegram ranks this channel #19 of 23 here — alongside 22 others — read 31 August 2026
东南亚曝光-新闻快报-吃瓜-悬赏
@dnanyakuaibaobgxs · 61,519
Telegram ranks this channel #20 of 60 here — alongside 59 others — read 24 August 2026
缅甸新闻头条
@hyxw4 · 56,785
Telegram ranks this channel #22 of 55 here — alongside 54 others — read 19 August 2026
华人便民大事件-柬搜新闻កម្ពុជា។🇰🇭
@bgyq555 · 51,181
Telegram ranks this channel #28 of 43 here — alongside 42 others — read 23 August 2026
Crypto Whale Pumps
@Cryptowhalepump_official · 18,603
Telegram ranks this channel #31 of 71 here — alongside 70 others — read 24 August 2026
东南亚快讯-全网曝光
@bg888e · 50,481
Telegram ranks this channel #32 of 53 here — alongside 52 others — read 25 August 2026
全球大事件曝光❖东南亚吃瓜新闻
@dsj665 · 117,811
Telegram ranks this channel #37 of 72 here — alongside 71 others — read 15 August 2026
柬埔寨大事件/曝光
@jpz0123 · 49,957
Telegram ranks this channel #38 of 69 here — alongside 68 others — read 24 August 2026
东南亚骗子曝光吧
@pianzi1 · 49,561
Telegram ranks this channel #40 of 67 here — alongside 66 others — read 23 August 2026
泰国新闻|华人资讯曝光|thailand news
@taiguohuarenzixun · 73,009
Telegram ranks this channel #51 of 71 here — alongside 70 others — read 15 August 2026
东南亚新闻头条(曝光)
@dnyxwtt · 49,853
Telegram ranks this channel #54 of 79 here — alongside 78 others — read 24 August 2026
柬埔寨新闻头条【体育资讯】
@TTDR8 · 98,340
Telegram ranks this channel #54 of 75 here — alongside 74 others — read 18 August 2026
东南亚大事件-曝光-黑料
@DNYzzz6 · 67,908
Telegram ranks this channel #57 of 66 here — alongside 65 others — read 23 August 2026
东南亚新闻大事件
@bvl222 · 43,348
Telegram ranks this channel #63 of 65 here — alongside 64 others — read 23 August 2026
Аутсайдер UA
@outsiderukraine · 39,304
Telegram ranks this channel #67 of 80 here — alongside 79 others — read 28 August 2026
БелНовости
@belnewsby1 · 50,949
Telegram ranks this channel #70 of 84 here — alongside 83 others — read 25 August 2026
柬埔寨大事件【阿Q资讯】
@AQzx_1 · 150,714
Telegram ranks this channel #72 of 72 here — alongside 71 others — read 14 August 2026
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 46,590
Telegram ranks this channel #78 of 83 here — alongside 82 others — read 19 August 2026

This channel appears in 22 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚狗推快讯(曝光)📱‼️” (@gtkx1), 151,174 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/gtkx1.

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.