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Channel

中文吃瓜中心沙雕日常 🍉

@chigua_a

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

219,394subscribers

+14,695 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-1001936409813
TypeChannel
Username@chigua_a
Description爆料投稿商务合作: 广告投放 投诉建议 是听暖呀~: @tingnuan1 莉莉娅🎀 : @bawei8 投稿: @bawei8 💬💬每日精选推送💬💬 新闻 |吃瓜 |沙雕 |娱乐 | 搞笑 |
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/chigua_a

Topic

Memes & entertainment — 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 80% 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. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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
@chigua_a/282304 · this entry13 Aug 2026, 15:30 UTC@xiuche696969/973213 Aug 2026, 16:09 UTC1.0039 minutes
@chigua_a/282910 · this entry18 Aug 2026, 07:14 UTC@xiuche696969/1025918 Aug 2026, 08:56 UTC1.001.7 hours
@chigua_a/284227 · this entry25 Aug 2026, 16:15 UTC@xiuche696969/1140825 Aug 2026, 16:33 UTC1.0017 minutes
@chigua_a/285123 · this entry1 Sept 2026, 12:03 UTC@xiuche696969/121541 Sept 2026, 12:12 UTC1.009 minutes
@chigua_a/285146 · this entry1 Sept 2026, 12:03 UTC@xiuche696969/121771 Sept 2026, 12:12 UTC1.009 minutes
@chigua_a/288896 · this entry5 Oct 2026, 07:51 UTC@xiuche696969/158435 Oct 2026, 08:46 UTC1.0056 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
@xiuche69696943 (8/8 hand-verifiable sample passed)1.0082 minutesthis entry (41–2)
@Hotchigua39 (6/8 hand-verifiable sample passed)1.0045 minutes@Hotchigua (39–0)
@achiguao31 (6/8 hand-verifiable sample passed)1.0074 minutes@achiguao (20–11)
@qiwenbaike11 (8/8 hand-verifiable sample passed)1.0055 minutes@qiwenbaike (11–0)
@cg0000099 (8/8 hand-verifiable sample passed)1.005.0 hoursthis entry (5–4)
@tiyuquan9 (8/8 hand-verifiable sample passed)1.002 days@tiyuquan (8–1)
@tghuarenba9 (8/8 hand-verifiable sample passed)1.003 days@tghuarenba (9–0)
@dianjingtuidan19 (8/8 hand-verifiable sample passed)1.0048 hours@dianjingtuidan1 (9–0)
@chiguaxinwen19 (7/8 hand-verifiable sample passed)1.002 daysthis entry (9–0)
@regua8889 (8/8 hand-verifiable sample passed)1.0029 minutes@regua888 (5–4)
@vp9878 (6/8 hand-verifiable sample passed)1.003.4 hoursthis entry (6–2)
@hhlgx8 (8/8 hand-verifiable sample passed)1.007.6 hoursthis entry (5–3)

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. 122 of the 122 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 296 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 5 channels, the one whose matching posts we hold earliest is @chigua_a — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 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 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

191,412228,469209,940.5219,3947 August 202611 November 2026
63 measurements spanning 96 days, net +14,695. 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 185,853–234,028 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 08:34219,394-1,855
9 Nov 2026, 16:07221,249-7,220
8 Nov 2026, 11:09228,469+13,066
7 Nov 2026, 06:48215,403+13,478
6 Nov 2026, 03:45201,925+3,492
5 Nov 2026, 01:37198,433+7,021
4 Nov 2026, 01:39191,412-599
3 Nov 2026, 01:18192,011-365
2 Nov 2026, 00:29192,376-1,611
31 Oct 2026, 23:35193,987-1,224
30 Oct 2026, 23:48195,211-2,795
29 Oct 2026, 23:19198,006-1,316
29 Oct 2026, 02:44199,322-2,611
27 Oct 2026, 23:47201,933-1,178
27 Oct 2026, 01:09203,111-1,916
26 Oct 2026, 04:05205,027-2,147
25 Oct 2026, 00:46207,174-2,077
23 Oct 2026, 21:44209,251-1,809
22 Oct 2026, 22:15211,060-2,212
21 Oct 2026, 21:36213,272first reading

Engagement

1,556 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.94%
avg views ÷ 219,394 subscribers
Avg views / post
4,250
525 posts measured
Reaction rate
0.044%
reactions ÷ views · ER floor
Posts in window
547
of 1,556 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 378 of 525 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 12 November 2026
Posts held1,556 (7 August 2026 – 12 November 2026)
Views total2,232,434
Reactions total706
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 02:34 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
≈75,100
Videos
≈108,000
Links
≈65,700

Lifetime counters from Telegram’s own channel header, read 13 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
10h 27m
Average length
43s

Measured directly from 868 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

1,054 reactions across 603 posts, in 14 distinct kinds. The most used accounts for 80.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍85180.7%
❤13012.3%
🤩111.04%
👏100.949%
🥰100.949%
🔥90.854%
😁90.854%
⚡80.759%
🤮60.569%
🤔30.285%
🎉20.19%
👎20.19%
💩20.19%
🤡10.095%

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 637 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,054 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 14 September 2026 to 12 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 547 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).

12 Nov 2026, 22:26 UTC303 views2 reactionsread 13 November 2026
Video

广西百色学院,叔叔表演空中走钢丝 🤡

👍2

12 Nov 2026, 21:59 UTC≈6,530 views1 reactionsread 13 November 2026
Video

真狠啊!给自己脸上打了100组生长因子,整成托马斯小火车了…… 🤡🤡

👍1

12 Nov 2026, 21:31 UTC270 viewsread 13 November 2026
Photo

看把女骑手乐得,都要合不拢嘴了🤡🤡🤡 贴钱给我去看心理医生吧

12 Nov 2026, 21:20 UTC272 viewsread 13 November 2026
Photo

无良中介🤡🤡奇瑞校招劝学生“别急着问薪资先谈梦想”,被直接艾特痛骂 11月12日,奇瑞汽车在某高校校招微信群聊天截图在网络流传,群内招聘方人士发言,要求学生“不要急于了解什么企业薪资待遇”,先思考自身优势与梦想,并称“新兵”前期只有付出冲锋陷阵,等有了价值后期才会有高薪和重用。 随后群内有学生直接艾特该招聘人员当场回怼和辱骂。

12 Nov 2026, 14:14 UTC≈1,100 views1 reactionsread 12 November 2026
Video

昨晚 . 以色列占领军空袭了巴勒斯坦·加沙南部的一处难民营

👍1

12 Nov 2026, 14:02 UTC≈1,870 views3 reactionsread 12 November 2026
Video

11月11日晚上近8点,在印度拉贾斯坦邦斋浦尔拉万门地区,黑帮头目维杰·巴贾遭斧头砍死

👍3

Showing the 12 most recent of 1,556 posts we hold for @chigua_a. 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 4 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.

吃瓜群众🍉
@chigua2022 · 190,073
#1
东南亚大事件 @svip
@bx666 · 462,405
#2
吃瓜群众🍉
@chigua_e · 217,756
#3
(吃瓜)搞笑😐视频
@cgbg8 · 106,850
#4
中文段子吃瓜中心
@chiguale8 · 48,613
#5
吃瓜搞笑
@guagua · 72,536
#6
头条事件
@toutiaoshijian · 66,506
#7
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#8
菲律宾华人事件
@svip40 · 129,420
#9
内涵搞笑🫥
@chiguahs · 107,453
#10
柬埔寨華人信息
@jpz_888 · 12,123
#11
【吃瓜🍉&搞笑】
@GQSP9 · 56,615
#12
东南亚挨打日记
@pyzcn · 211,778
#13
中文安危曝光🌸海外华人日记
@tghuarenba · 23,701
#14
中国悲剧档案官方频道
@newszg_official · 156,309
#15
海外大事件
@usd1 · 252,062 (as read 12 August 2026)
#16
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 69,866
#17
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 260,951
#18
吃瓜丨素材丨内涵段子丨搞笑视频
@chiguasucai · 12,092
#19
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 305,759
#20
吃瓜群众【 猎奇】
@chiguadog · 155,848
#21
东南亚大事件
@kanxia · 437,528
#22
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 99,381
#23
全球精品素材
@taiwansucai223 · 10,778
#24
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 148,298
#25
皮皮虾🦐搞笑吃瓜
@pipixia · 12,142
#26
吴哥时报
@wgsb · 218,800 (as read 12 August 2026)
#27
搞笑视频 吃瓜群众 内涵段子 沙雕日常
@lsd62 · 28,330
#28
搞笑段子《问题不大》😹
@GXduanzi1 · 53,028
#29
【话社】狗推素材🫥
@sucaihs · 68,083
#30
每日沙雕墙
@woshadiao · 114,505
#31
汉城海外素材(78.com 冠名 )
@sucai · 47,958
#32
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 149,981
#33
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,818
#34
💯【佳佳】美食素材圈💯
@sucai177 · 97,100
#35
海外大事件(猎奇-吃瓜)
@aa144 · 34,577
#36
东南亚悬赏-吃瓜中心
@dnyggg · 40,677
#37
吃瓜群众/内涵段子/搞笑视频
@chigua186 · 19,271
#38
头像(林深见鹿)壁纸
@touxiang11 · 4,088
#39
简易文案馆♥️ ͒
@jywag999 · 50,935
#40
今日全网曝光频道
@bg855 · 332,331
#41
内涵段子 🔥搞笑视频 天🌐下
@neihanduanzi1 · 208,697
#42
快来吃瓜
@renrenchigua · 68,414
#43
☀️【佳佳】生活素材馆☀️
@sucai277 · 101,839
#44
吃瓜段子 @FLLCG
@FLLCG · 41,105
#45
海外素材库
@sucai1 · 58,852
#46
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
#47
足球体育圈 中文推单频道(NBA·五大联赛每日竞彩红单推荐)
@tiyuquan · 101,936
#48
Kanallani Dodasi | Расмий канал
@kduzb · 813,185
#49
🎬 بیسیمچی مدیا
@bisimchimedia · 1,031,053
#50
خبر فوری
@khabar_furei · 2,699,850
#51
Pumpcoinbets💰📈 NFT & Crypto Gems 💎
@pumpcoinbets · 1,016,835
#52
عجیب ولی واقعی
@ajibvalivaghaei · 651,066
#53
اخبارفوری ومهم 🔖
@akhbare_moheem · 664,188
#54

Read from Telegram’s recommendation API, most recently 12 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.

全网吃瓜🍉
@aichiguaba · 246,184
Telegram ranks this channel #3 of 51 here — alongside 50 others — read 14 August 2026
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 69,866
Telegram ranks this channel #5 of 57 here — alongside 56 others — read 18 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 205,624
Telegram ranks this channel #5 of 48 here — alongside 47 others — read 14 August 2026
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 57,253
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 21 August 2026
吃瓜群众【 猎奇】
@chiguadog · 155,848
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 12 August 2026
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 149,981
Telegram ranks this channel #7 of 63 here — alongside 62 others — read 12 August 2026
吃瓜视频
@pdsss · 52,548
Telegram ranks this channel #8 of 51 here — alongside 50 others — read 23 August 2026
吃瓜中心
@guawa9 · 84,576
Telegram ranks this channel #8 of 54 here — alongside 53 others — read 17 August 2026
【吃瓜🍉&搞笑】
@GQSP9 · 56,615
Telegram ranks this channel #8 of 53 here — alongside 52 others — read 14 August 2026
吃瓜🍉群众
@achiguao · 81,158
Telegram ranks this channel #9 of 45 here — alongside 44 others — read 18 August 2026
(吃瓜)搞笑😐视频
@cgbg8 · 106,850
Telegram ranks this channel #9 of 59 here — alongside 58 others — read 15 August 2026
中国悲剧档案官方频道
@newszg_official · 156,309
Telegram ranks this channel #13 of 52 here — alongside 51 others — read 12 August 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 78,507
Telegram ranks this channel #21 of 54 here — alongside 53 others — read 20 August 2026
轻口味时间
@lightrekt · 47,997
Telegram ranks this channel #25 of 35 here — alongside 34 others — read 25 August 2026
🍉吃瓜の小视频
@dnyxsp · 67,891
Telegram ranks this channel #28 of 43 here — alongside 42 others — read 16 August 2026
头条新闻💥搞笑视频
@z055q · 24,230
Telegram ranks this channel #29 of 43 here — alongside 42 others — read 19 August 2026
西港大事件(曝光)
@xigang9918 · 75,379
Telegram ranks this channel #30 of 41 here — alongside 40 others — read 24 August 2026
内涵搞笑🫥
@chiguahs · 107,453
Telegram ranks this channel #30 of 55 here — alongside 54 others — read 14 August 2026
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 84,052
Telegram ranks this channel #35 of 46 here — alongside 45 others — read 14 August 2026
吃瓜东南亚头条㊖
@CG887 · 95,250
Telegram ranks this channel #36 of 72 here — alongside 71 others — read 15 August 2026
东南亚曝光
@TRJ668899 · 51,872
Telegram ranks this channel #37 of 48 here — alongside 47 others — read 27 August 2026
东南亚大事件 吃瓜新闻 马来西亚
@chiguak · 107,869
Telegram ranks this channel #37 of 46 here — alongside 45 others — read 23 August 2026
در پرتویی از قرآن
@UnderthelightofQuran · 1,042
Telegram ranks this channel #42 of 86 here — alongside 85 others — read 14 August 2026
吃瓜驿站😋🍉
@DNYQWCG · 73,243
Telegram ranks this channel #50 of 57 here — alongside 56 others — read 19 August 2026

This channel appears in 26 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“中文吃瓜中心沙雕日常 🍉” (@chigua_a), 219,394 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/chigua_a.

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.