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Telegram profile photo for 吃瓜驿站😋🍉

Channel

吃瓜驿站😋🍉

@DNYQWCG

2 usernames

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

79,837subscribers

+1,002 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001350651934
TypeChannel
Usernames@cg9cg @DNYQWCG
Description本频道包含柯南为探友们精心挑选收集的当前热瓜、热辣美女、实录视频、时事禁闻,希望您能喜欢。 东南亚事件曝光频道:https://t.me/DNYBG234 东南亚狗推吃瓜频道:https://t.me/GTKX888 投稿机器人:@kenantg_bot 商务机器人:@EKkenan_bot 唯一商务合作:@ekko520 唯一免费投稿:@dnykn6 ⚠️:建议先联系机器人,优先回复机器人消息。投稿账号不谈商务! 本频道所发布的所有内容均来源投稿、推特、即刻、YouTube等公共平台,均不代表本频道观点
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held64
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/DNYQWCG

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 10 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 why it has no browse page of its own yet.

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 2 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
@Gaoxiaoman/2857787 Aug 2026, 14:48 UTC@DNYQWCG/232150 · this entry7 Aug 2026, 16:42 UTC1.001.9 hours
@DNYQWCG/232151 · this entry7 Aug 2026, 16:42 UTC@Gaoxiaoman/2858517 Aug 2026, 16:42 UTC1.00under a minute
@DNYQWCG/232153 · this entry7 Aug 2026, 16:42 UTC@Gaoxiaoman/2858537 Aug 2026, 16:42 UTC1.00under a minute
@DNYQWCG/232156 · this entry7 Aug 2026, 16:43 UTC@Gaoxiaoman/2858557 Aug 2026, 16:43 UTC1.00under a minute
@DNYQWCG/232157 · this entry7 Aug 2026, 16:43 UTC@Gaoxiaoman/2858567 Aug 2026, 16:43 UTC1.00under a minute
@gtkx1/1222276 Aug 2026, 17:00 UTC@DNYQWCG/232166 · this entry7 Aug 2026, 17:00 UTC1.0024 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Gaoxiaoman5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (41)
@gtkx15 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (32)

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. 3 of the 3 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 23 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. 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

77,05783,83980,44879,8376 August 202618 September 2026
64 measurements spanning 43 days, net +1,002. 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 76,040–84,856 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
18 Sept 2026, 23:5979,837-4,002
17 Sept 2026, 12:4083,839+764
16 Sept 2026, 11:5883,075+479
15 Sept 2026, 11:5582,596+3,383
14 Sept 2026, 14:4179,213-59
13 Sept 2026, 18:5879,272-151
13 Sept 2026, 01:5779,423-138
12 Sept 2026, 02:1579,561-220
11 Sept 2026, 05:0179,781-302
9 Sept 2026, 17:1580,083-339
8 Sept 2026, 09:3680,422-425
6 Sept 2026, 06:2080,847-124
5 Sept 2026, 07:0080,971-152
3 Sept 2026, 23:0081,123-84
3 Sept 2026, 14:3781,207-155
2 Sept 2026, 12:5481,362-42
2 Sept 2026, 09:2481,404-245
1 Sept 2026, 09:3381,649+6
31 Aug 2026, 11:0681,643-5
31 Aug 2026, 07:0481,648first reading

Engagement

1,261 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.37%
avg views ÷ 79,837 subscribers
Avg views / post
1,890
812 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
812
of 1,261 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 63 of 812 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 22 September 2026
Posts held1,261 (6 August 202622 September 2026)
Views total1,535,714
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 23:36 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
74,500
Videos
133,000
Links
442

Lifetime counters from Telegram’s own channel header, read 22 September 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
6h 50m
Average length
45s

Measured directly from 550 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

59 reactions across 57 posts, in 9 distinct kinds. The most used accounts for 45.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2745.8%
1728.8%
46.78%
🔥35.08%
🎉23.39%
🤩23.39%
🥰23.39%
👏11.69%
😁11.69%

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 64 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 59 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 15 August 2026 to 22 September 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

22 Sept 2026, 18:30 UTC≈2,230 viewsread 22 September 2026
Photo

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22 Sept 2026, 18:04 UTC≈2,240 viewsread 22 September 2026
Video

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22 Sept 2026, 17:00 UTC≈3,180 viewsread 22 September 2026
Video

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22 Sept 2026, 16:10 UTC≈3,040 views1 reactionsread 22 September 2026
Video

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👍1

22 Sept 2026, 15:51 UTC53 views1 reactionsread 22 September 2026
Photo

近日,新浪财经报道:从多位星巴克员工获悉,门店收到新规定,要求每杯出餐的咖啡上都必须手绘笑脸。 同时,漏画的员工会被开二级警告单,年内两张二级警告单直接失去十三薪、十四薪的发放,甚至会被开除。

👍1

22 Sept 2026, 15:51 UTC52 views1 reactionsread 22 September 2026
Photo

即使川普政策严厉,仍然有人在走线美国,不过,现在从海上进入美国了。美国官方发现的一艘载有22名非法移民的船上,其中13人是中国人。

👍1

22 Sept 2026, 15:51 UTC≈2,190 viewsread 22 September 2026
Photo

杭州这次严打YC,对很多城市的YC妹子还是有影响的。 倒不是说这些YC妹子真的回农村去相亲了,而是很多都转移战场了。 一部分条件很好的是去国外了,什么新加坡、美国等等的。 还有一部分是去了国外其他城市的没怎么严打的地方。 就是虽然杭州严打了,也带动了一些城市也搞了严打,但是其他城市还是没有像杭州一样搞的那么狠,毕竟那个事情又不是发生到了他们那边,他们也就意思一下。 就等于是其他城市的YC接收了杭州那边的YC妹子。 一下子让这段时间去YC玩的男人,指名道姓的要杭州过来的YC妹子陪,说是要扶贫献爱心。结果就影响了本地YC妹子的生意,YC玩的男人点了杭州YC妹子,她们的生意就少了。

22 Sept 2026, 15:50 UTC≈2,220 views1 reactionsread 22 September 2026
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华为早年跟中兴一样,没有渠道,只能走运营商合约机,当年移动联通非常强势,当时国产手机整体比较低端,不走合约机是很难找零售分销商铺货卖出去的。 鲁社长刚才说了,当年线下手机之王是联发科的MTK山寨机,线下山寨机经销铺货之王就是oppo和vivo,在非常早期的时候,华为和小米都很难, 小米主要靠线上渠道,华为靠运营商渠道。 华为早年终端设备完全不管,导致社区滋生出非常极客的风格,华为U8860是一代神机,可以说跟早年小米分庭抗礼,手机不锁root,可以刷各种版本的ROM,文化和风格上和MIUI社区完全一致。 华为后来非常牛的一点,是在非常早期强推海思ascend K3V2,持续投入研发,持续挺住海思SoC产品线和对应的手机产品线,早年性能不行,发热很高,但是余承东顶住了骂名,把这条线逐渐彻底跑通。 早年华为和中兴的斗争都是小打小闹,余承东把海思的商业模式跑通,在华为内部孵化出一个小高通,性能保持一线水平,和国内紫光、瑞芯微等等二线消

👍1

22 Sept 2026, 15:50 UTC≈1,850 views1 reactionsread 22 September 2026
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读到摩梭族人的成年礼,好可爱。 摩梭传说中,在给每种生物安排寿命时,天神每念到一个数字,谁先回应就把这个寿命分给谁。狗分到了60岁,但人睡过头了,只分到了13岁。人对自己只能活这么短很不满意,于是和狗达成了协议,交换了寿命,前提是人要给狗一日三餐,还要保证不打狗。 于是,在摩梭族人13岁成年礼这一天,在经历一系列仪式后,最后一步是要把狗叫到房子里,感谢它和人类交换了寿命。

👍1

22 Sept 2026, 15:49 UTC≈1,910 views1 reactionsread 22 September 2026

展,就是从“有没有”走向“好不好”,再走向“强不强”的过程。 从新能源汽车,到光伏产业,再到动力电池,中国企业正在多个领域推动产业升级。一些过去被国外企业占据优势的产业,如今出现新的竞争格局。 当然,全球产业竞争并不是简单的“谁取代谁”。欧洲、日本、美国等经济体依然拥有大量先进技术和优秀企业,中国制造也仍然需要面对技术突破、品牌建设、高端领域竞争等挑战。 但不可否认的是,中国制造带来的最大变化,就是让更多商品从高门槛消费品变成大众能够享受的产品。 过去,一些企业依靠技术壁垒获得较高利润,这本身符合市场规律。但当新的竞争者进入市场,通过创新和规模化生产降低成本,消费者自然会获得更多选择。这也是产业发展的基本规律。 中国制造业的崛起,并不是简单复制别人走过的道路,而是在庞大的市场需求、完整产业链和持续研发投入基础上形成新的竞争优势。 中国制造走到今天,靠的不是偶然机会,而是长期积累。那些曾经昂贵到让普通人望而却步的产品,逐渐进入大众

👍1

Showing the 12 most recent of 1,261 posts we hold for @DNYQWCG. 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.

东南亚头条大事件
@tp111 · 49,218
#1
吃瓜中心
@guawa9 · 89,091
#2
东南亚华人大事件
@DNY181 · 50,098
#3
东南亚曝光台☎️
@DNYBG234 · 88,578
#4
东南亚大事件
@bx666 · 471,642
#5
东南亚狗推快讯(曝光)📱‼️
@gtkx1 · 168,299
#6
东南亚大事件-聚焦时事 @TX100
@tx100 · 161,401
#7
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,905
#8
曝光/吃瓜/搞笑/大事件【南派】🔴
@chigua_08 · 21,740
#9
柬埔寨大事件/曝光
@jpz0123 · 50,902
#10
《迪拜曝光》迪拜新闻
@baoguangi · 10,675
#11
安危事件
@flbhuarenquan · 43,235
#12
🔔柬埔寨大事件|最新资讯!
@ow333 · 62,887
#13
柬埔寨新闻大事件
@jpz9118 · 104,837
#14
迪拜黑料大曝光
@kk4568 · 128,782
#15
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 77,859
#16
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 79,466
#17
缅北悬赏通缉令(曝光)
@xinwen811 · 207,543
#18
菲律宾新闻大事件
@flb608 · 104,310
#19
抖音吃瓜
@douyinchigua1 · 21,230
#20
海外大事件(猎奇-吃瓜)
@aa144 · 35,337
#21
新闻/曝光/最新事件
@Cukicnk777 · 2,855
#22
内涵搞笑🫥
@chiguahs · 110,022
#23
📣精彩东南亚大事件📣
@pp666 · 212,192
#24
迪拜大事件
@AQzx_3 · 93,113
#25
东南亚BC热点新闻
@baoguangqun110 · 37,625
#26
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 432,047
#27
缅甸亚太大事件
@AQzx_2 · 89,932
#28
吃瓜新闻
@chiguaxinwen1 · 18,289
#29
博度-东南亚曝光新闻
@bodu08 · 58,568
#30
博彩黑平台曝光🔍
@uuuuuf · 244,570
#31
东南亚华人新闻社
@HQDSJ · 13,428
#32
东南亚华人大事件|曝光|新闻|悬赏|吃瓜
@ton689 · 48,189
#33
柬埔寨波贝曝光📰
@ChiGua8999 · 11,955
#34
中国悲剧档案官方频道
@newszg_official · 162,958
#35
吃瓜🍉群众
@achiguao · 81,872
#36
东南亚新闻大事件
@bvl222 · 54,541
#37
东南亚头条曝光频道(菲龙网)
@baoguang85 · 31,656
#38
西港日记 / 东南亚新闻
@xigang13 · 63,441
#39
搞笑视频 吃瓜群众 内涵段子 沙雕日常
@lsd62 · 25,101
#40
点亮曝光吧️💥
@baoguangba0 · 157,783
#41
搞笑段子《问题不大》😹
@GXduanzi1 · 91,095
#42
『皮了个皮』吃瓜
@pilegepi · 15,261
#43
车速过快🚦开车娱乐搞笑沙雕
@chesgk · 5,119
#44
缅甸缅北东南亚新闻曝光
@nx123 · 771,520
#45
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 72,699
#46
素材大全库【狗推之家】⚽️
@sucai_123456 · 4,361
#47
东南亚大事件-聚焦时事
@pp854 · 65,908
#48
东南亚 曝光 悬赏 新闻
@DNYXW008 · 86,205
#49
中文吃瓜中心沙雕日常 🍉
@chigua_a · 214,714
#50
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 91,317
#51
东南亚头条
@nb688 · 355,852
#52
吃瓜群众🍉
@chigua_e · 234,360
#53
俄乌|以巴|军事战争冲突
@kyqp617 · 18,722
#54
特区信息|技术频道
@VP2130123 · 4,028
#55
素材基地
@caisulai · 1,382
#56
潮图头像壁纸
@TGCTTX · 3,750
#57

Read from Telegram’s recommendation API, most recently 19 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.

东南亚华人大事件
@DNY181 · 50,098
Telegram ranks this channel #6 of 66 here — alongside 65 others — read 22 August 2026
吃瓜中心
@guawa9 · 89,091
Telegram ranks this channel #10 of 54 here — alongside 53 others — read 17 August 2026
东南亚狗推快讯(曝光)📱‼️
@gtkx1 · 168,299
Telegram ranks this channel #16 of 76 here — alongside 75 others — read 14 August 2026
东南亚头条大事件
@tp111 · 49,218
Telegram ranks this channel #22 of 56 here — alongside 55 others — read 23 August 2026
东南亚曝光台☎️
@DNYBG234 · 88,578
Telegram ranks this channel #62 of 77 here — alongside 76 others — read 16 August 2026

This channel appears in 5 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜驿站😋🍉” (@DNYQWCG), 79,837 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/DNYQWCG.

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.