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Telegram profile photo for 吃瓜群众🍉

Channel

吃瓜群众🍉

@chigua_e

5 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

217,756subscribers

+8,138 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-1001807595378
TypeChannel
Usernames@chigua97 @chigua_e @tgso66 @tgso88 @xbkfb
DescriptionHello @Telegram My channel has not violated the rules and policy of using Telegram. 广告投放 @KLOWX
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 live12 November 2026
Measurements held297
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/chigua_e

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 64% 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 17 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_e/191192 · this entry12 Aug 2026, 03:40 UTC@neihanduanzi1/7240812 Aug 2026, 04:23 UTC1.0043 minutes
@neihanduanzi1/7267314 Aug 2026, 15:40 UTC@chigua_e/191750 · this entry15 Aug 2026, 00:38 UTC1.009.0 hours
@neihanduanzi1/7363025 Aug 2026, 10:05 UTC@chigua_e/193414 · this entry25 Aug 2026, 10:56 UTC1.0051 minutes
@chigua_e/195006 · this entry31 Aug 2026, 11:33 UTC@neihanduanzi1/7445931 Aug 2026, 11:38 UTC1.005 minutes
@neihanduanzi1/796575 Oct 2026, 09:11 UTC@chigua_e/201764 · this entry5 Oct 2026, 12:47 UTC1.003.6 hours
@neihanduanzi1/800699 Oct 2026, 05:56 UTC@chigua_e/202444 · this entry9 Oct 2026, 11:15 UTC1.005.3 hours
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
@neihanduanzi133 (8/8 hand-verifiable sample passed)1.004.1 hours@neihanduanzi1 (26–7)
@freechinese28 (8/8 hand-verifiable sample passed)1.005.4 hours@freechinese (28–0)
@CG88723 (6/8 hand-verifiable sample passed)1.006.2 hours@CG887 (21–2)
@tuigsc21 (6/8 hand-verifiable sample passed)1.004.9 hoursthis entry (21–0)
@wd80919 (6/8 hand-verifiable sample passed)1.003.1 hours@wd809 (17–2)
@qiqubk16 (8/8 hand-verifiable sample passed)1.002.2 hours@qiqubk (11–5)
@regua88816 (7/8 hand-verifiable sample passed)1.008.6 hours@regua888 (15–1)
@svip95615 (7/8 hand-verifiable sample passed)1.006.9 hours@svip956 (8–7)
@ruyicg14 (6/8 hand-verifiable sample passed)1.004.2 hoursthis entry (14–0)
@DNYXW88013 (6/8 hand-verifiable sample passed)1.0088 minutesthis entry (9–4)
@baguabox12 (7/8 hand-verifiable sample passed)1.008.6 hours@baguabox (12–0)
@JPZDY211 (6/8 hand-verifiable sample passed)1.002.6 hours@JPZDY2 (9–2)

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. 208 of the 208 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 242 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 17 channels, the one whose matching posts we hold earliest is @freechinese. 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 17 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

199,289243,583221,436217,7567 August 202612 November 2026
297 measurements spanning 97 days, net +8,138. 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 192,645–250,227 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 297
Measured (UTC)SubscribersChange
12 Nov 2026, 07:15217,756-981
11 Nov 2026, 23:01218,737-171
11 Nov 2026, 21:58218,908-443
11 Nov 2026, 16:10219,351-1,937
10 Nov 2026, 22:18221,288-1,722
10 Nov 2026, 04:07223,010-513
9 Nov 2026, 23:40223,523-163
9 Nov 2026, 22:38223,686-675
9 Nov 2026, 17:58224,361-943
9 Nov 2026, 09:19225,304-990
8 Nov 2026, 19:27226,294-347
8 Nov 2026, 16:07226,641-153
8 Nov 2026, 15:08226,794-336
8 Nov 2026, 13:11227,130-1,343
7 Nov 2026, 23:11228,473-1,470
7 Nov 2026, 10:16229,943-96
7 Nov 2026, 09:19230,039-473
7 Nov 2026, 06:37230,512-121
7 Nov 2026, 06:00230,633-1,330
6 Nov 2026, 20:54231,963first reading

Engagement

1,639 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 202 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.93%
avg views ÷ 217,756 subscribers
Avg views / post
2,030
479 posts measured
Reaction rate
2.20%
reactions ÷ views · ER floor
Posts in window
486
of 1,639 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 476 of 479 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 held1,639 (7 August 2026 – 12 November 2026)
Views total970,110
Reactions total21,334
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:51 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
≈64,700
Videos
≈93,900
Links
≈15,900

Lifetime counters from Telegram’s own channel header, read 12 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 10m
Average length
45s

Measured directly from 813 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

28,900 reactions across 880 posts, in 16 distinct kinds. The most used accounts for 21.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6,24021.6%
❤5,72219.8%
😁5,61319.4%
🎉5,54619.2%
🔥5,52919.1%
👏690.239%
🤩600.208%
⚡520.18%
🥰520.18%
🤔90.031%
🤣20.007%
🤮20.007%
👎10.003%
💩10.003%
😭10.003%
🤡10.003%

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 891 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 28,900 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 13 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: 19 of 486 posts held from the last 30 days (3.91%) 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, 15:30 UTC285 views33 reactionsread 12 November 2026

你已经邀请''黄仁勋''加入群聊...

😁9🎉8👍8❤5🔥3

12 Nov 2026, 15:27 UTC329 views47 reactionsread 12 November 2026
Photo

黄仁勋 要跑路了吗 ?

🔥13❤11😁9👍8🎉6

12 Nov 2026, 15:27 UTC321 views36 reactionsread 12 November 2026
Photo

彭博:黄仁勋绯闻女主角黄乐已返华 现居北京 这张由台湾中天电视提供、法新社于11月9日取得的视频截图显示,黄乐(身穿粉红色连衣裙女子)去年5月22日在台北一家餐厅,与英伟达首席执行官黄仁勋(背对镜头、白发身穿黑衣者)共进晚餐。(法新社) 据知情人士透露,英伟达首席执行官黄仁勋的婚外情对象、被美国当局怀疑是间谍的中国女子黄乐(Alice Huang)已返回中国,目前居住在北京。 彭博社星期四(11月12日)引述消息报道,云计算服务商超速国际(Megaspeed)创始人黄丽在京居住,安全部门知悉她的行踪。不过,目前尚不清楚她何时、为何前往北京,以及她可能从事什么活动。 自黄仁勋11月8日承认婚外情、公司董事会开始调查有关黄乐是中国间谍的指控以来,她的行踪一直引发外界高度关注。 截至目前,黄乐可确认的身份信息包括,她是中国籍、湖南人,持有香港永久居民身份。她据称早年在媒体和金融业的任职经历,以及她的婚姻状况、家庭关系,甚至是年…

👍10🎉8❤7😁7🔥4

12 Nov 2026, 15:27 UTC195 views43 reactionsread 12 November 2026
Photo

圣彼得堡,一名俄军军官因汽车被炸身亡 据《福恩特卡报》报道,11月12日上午,一辆由一名军人驾驶的汽车在舒沙拉区的科尔皮诺公路上发生爆炸。 据该报消息人士称,遇难者军衔为上校。与他同乘一辆汽车的还有一名亲属:此人幸存,但受了伤。 据78频道援引目击者的话称,爆炸发生在早上7点左右,地点位于斯拉维扬卡小区,靠近“兰塔”商店和“塔特石油”加油站。现场赶来了几组消防队。“Yandex地图”用户指出,科尔皮诺公路的交通已被封锁。

👍13🔥11❤9🎉6😁4

12 Nov 2026, 15:27 UTC155 views49 reactionsread 12 November 2026
Video

#路怒症 #砸车 疯了吧

😁12❤11👍11🎉8🔥7

12 Nov 2026, 15:27 UTC123 views36 reactionsread 12 November 2026
Photo

广州 番禺那个杜卡迪摩托车骑手,捡了一条命回来 #命大 #摩托 #车祸 包夹 #压缩

🔥11👍8😁8🎉5❤4

12 Nov 2026, 15:27 UTC177 views54 reactionsread 12 November 2026
Video

越打越爱 学会了吗?回家就去打老婆

🎉13🔥13👍12❤8😁8

12 Nov 2026, 15:27 UTC169 views42 reactionsread 12 November 2026
Photo

黄仁勋辞职 当地时间11月12日,英伟达公司宣布:黄仁勋辞去总裁、首席执行官及董事会成员职务,即刻生效。科莱特·克雷斯担任临时首席执行官。

👍12❤10😁9🎉8🔥3

12 Nov 2026, 15:26 UTC166 views50 reactionsread 12 November 2026
Video

印度男子欲娶姑姑女儿遭反对后自杀

❤15👍12🎉11🔥7😁5

12 Nov 2026, 15:26 UTC119 views46 reactionsread 12 November 2026
Photo

据外媒消息,11日下午,马尔代夫一架“双水獭”水上飞机在马累维拉纳国际机场水面滑行时发生事故,飞机滑行时一侧浮筒发生断裂脱落,机身随即失衡侧倾并进水,机上乘客均平安,一名机组人员受重伤送医救治。事故发生后,现场应急人员迅速开展人员疏散工作。相关部门已介入调查,暂未公布浮筒断裂的具体原因,当地水上航班后续恢复运营。

🎉13😁10❤8👍8🔥7

12 Nov 2026, 00:59 UTC501 views37 reactionsread 12 November 2026
Photo

谁会不喜欢猴子呢

❤10😁10🔥9🎉6👍2

Showing the 12 most recent of 1,639 posts we hold for @chigua_e. 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
内涵搞笑🫥
@chiguahs · 107,453
#2
头条事件
@toutiaoshijian · 66,534
#3
菲律宾华人事件
@svip40 · 129,420
#4
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#5
吃瓜搞笑
@guagua · 72,603
#6
东南亚挨打日记
@pyzcn · 211,778
#7
【吃瓜🍉&搞笑】
@GQSP9 · 57,264
#8
中国悲剧档案官方频道
@newszg_official · 156,309
#9
海外大事件
@usd1 · 251,893 (as read 11 August 2026)
#10
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 69,866
#11
吃瓜群众/内涵段子/搞笑视频
@chigua186 · 19,271
#12
吃瓜群众【 猎奇】
@chiguadog · 155,848
#13
吃瓜丨素材丨内涵段子丨搞笑视频
@chiguasucai · 12,092
#14
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,508
#15
东南亚大事件
@kanxia · 437,528
#16
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
#17
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 148,298
#18
没品笑话🗯内涵段子皮皮虾搞笑沙雕视频
@MeiPinTu · 16,174
#19
吃瓜🍉群众
@achiguao · 81,158
#20
汉城海外素材(78.com 冠名 )
@sucai · 47,958
#21
每日沙雕墙
@woshadiao · 114,505
#22
海外大事件(猎奇-吃瓜)
@aa144 · 34,590
#23
【话社】狗推素材🫥
@sucaihs · 68,083
#24
💯【佳佳】美食素材圈💯
@sucai177 · 97,305
#25
快来吃瓜
@renrenchigua · 68,414
#26
缅甸新闻 ‖ 亚太新闻 ‖ 东南亚新闻
@cn789 · 19,913
#27
东南亚头条大事件
@tp111 · 45,741
#28
人间清醒【文案馆】
@wenanhs1 · 28,032
#29
搞笑视频 吃瓜群众 内涵段子 沙雕日常
@lsd62 · 28,330
#30
东南亚大事件-聚焦时事
@pp854 · 60,766
#31
🧸心情文案吧|素材|壁纸|头像
@wenan888 · 61,095
#32
☀️【佳佳】生活素材馆☀️
@sucai277 · 101,839
#33
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,818
#34
皮皮虾🦐搞笑吃瓜
@pipixia · 12,142
#35
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 203,212
#36
吃瓜段子 @FLLCG
@FLLCG · 41,066
#37
东南亚悬赏-吃瓜中心
@dnyggg · 40,772
#38
东南亚大事件 @svip
@bx666 · 462,405
#39
全网曝光
@quanwangbaoguang0 · 165,803
#40
海外素材库
@sucai1 · 58,856
#41
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
#42
Telo News 简体中文 - 加密货币|DeFi |Web3
@telonews_cn · 79,871
#43
吴哥时报
@wgsb · 219,250 (as read 11 August 2026)
#44
每天趣事
@meitian · 28,500
#45

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.

文明观球理性吃瓜
@aimeinv88 · 23,989
Telegram ranks this channel #1 of 20 here — alongside 19 others — read 18 September 2026
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 57,253
Telegram ranks this channel #2 of 48 here — alongside 47 others — read 21 August 2026
(吃瓜)搞笑😐视频
@cgbg8 · 106,850
Telegram ranks this channel #3 of 59 here — alongside 58 others — read 15 August 2026
中文吃瓜中心沙雕日常 🍉
@chigua_a · 219,394
Telegram ranks this channel #3 of 54 here — alongside 53 others — read 12 August 2026
电影探长 电影解说AI漫剧短剧
@dyjs01 · 45,716
Telegram ranks this channel #4 of 17 here — alongside 16 others — read 23 September 2026
全网吃瓜🍉
@aichiguaba · 246,184
Telegram ranks this channel #4 of 51 here — alongside 50 others — read 14 August 2026
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,508
Telegram ranks this channel #4 of 54 here — alongside 53 others — read 10 August 2026
曝光骗局-大事件频道-吃瓜搞笑-东南亚新闻
@baoguang · 33,641
Telegram ranks this channel #5 of 9 here — alongside 8 others — read 10 September 2026
轻口味时间
@lightrekt · 48,041
Telegram ranks this channel #5 of 35 here — alongside 34 others — read 25 August 2026
吃瓜群众【 猎奇】
@chiguadog · 155,848
Telegram ranks this channel #5 of 48 here — alongside 47 others — read 12 August 2026
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 69,866
Telegram ranks this channel #6 of 57 here — alongside 56 others — read 18 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 205,268
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 14 August 2026
【吃瓜🍉&搞笑】
@GQSP9 · 57,264
Telegram ranks this channel #6 of 53 here — alongside 52 others — read 14 August 2026
吃瓜🍉群众
@achiguao · 81,158
Telegram ranks this channel #7 of 45 here — alongside 44 others — read 18 August 2026
吃瓜中心
@guawa9 · 84,737
Telegram ranks this channel #7 of 54 here — alongside 53 others — read 17 August 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 78,507
Telegram ranks this channel #8 of 54 here — alongside 53 others — read 20 August 2026
吃瓜群众🍉
@chigua2022 · 190,073
Telegram ranks this channel #8 of 49 here — alongside 48 others — read 11 August 2026
短剧视频 抖音热门AI短剧
@duanjutianju · 25,513
Telegram ranks this channel #11 of 13 here — alongside 12 others — read 23 September 2026
曝光/吃瓜/搞笑/大事件【南派】🔴
@chigua_08 · 81,511
Telegram ranks this channel #11 of 18 here — alongside 17 others — read 22 September 2026
西港大事件(曝光)
@xigang9918 · 75,379
Telegram ranks this channel #11 of 41 here — alongside 40 others — read 24 August 2026
吃瓜视频
@pdsss · 52,548
Telegram ranks this channel #11 of 51 here — alongside 50 others — read 23 August 2026
中国悲剧档案官方频道
@newszg_official · 156,309
Telegram ranks this channel #12 of 52 here — alongside 51 others — read 12 August 2026
新闻哥头条吃瓜每日热点
@yewaiTQ · 24,955
Telegram ranks this channel #13 of 20 here — alongside 19 others — read 23 September 2026
哈夫克高速代理频道
@gydl7 · 103,251
Telegram ranks this channel #13 of 15 here — alongside 14 others — read 20 September 2026

This channel appears in 42 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.

Domains linked from posts

8 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

n9tg4.com2 posts · 7 August 2026 – 7 August 2026 · example post
fc.1684497.ccregistrable domain: 1684497.cc1 post · 7 August 2026 – 7 August 2026 · example post
6g123.com1 post · 7 August 2026 – 7 August 2026 · example post
www.6g606.comregistrable domain: 6g606.com1 post · 7 August 2026 – 7 August 2026 · example post
n10718.com1 post · 7 August 2026 – 7 August 2026 · example post
n9.top1 post · 7 August 2026 – 7 August 2026 · example post
no.com1 post · 7 August 2026 – 7 August 2026 · example post
share.yiwumu.comregistrable domain: yiwumu.com1 post · 7 August 2026 – 7 August 2026 · example post

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

“吃瓜群众🍉” (@chigua_e), 217,756 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/chigua_e.

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.