Telegram RegisterThe public register of Telegram

Channel

中文吃瓜中心沙雕日常 🍉

@chigua_a

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

216,083subscribers

+11,384 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 live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 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 why it has no browse page of its own yet.

Growth

200,351217,609208,9807 August 2026 — 204,699 subscribers7 August 2026 — 204,342 subscribers8 August 2026 — 202,586 subscribers9 August 2026 — 201,231 subscribers10 August 2026 — 200,351 subscribers11 August 2026 — 204,660 subscribers12 August 2026 — 217,609 subscribers14 August 2026 — 216,083 subscribers216,0837 August 202614 August 2026
8 measurements spanning 7 days, net +11,384. 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 197,762–220,198 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 00:34216,083-1,526
12 Aug 2026, 19:33217,609+12,949
11 Aug 2026, 16:37204,660+4,309
10 Aug 2026, 16:01200,351-880
9 Aug 2026, 14:21201,231-1,355
8 Aug 2026, 16:11202,586-1,756
7 Aug 2026, 16:30204,342-357
7 Aug 2026, 10:45204,699first reading

Engagement

102 posts held, back to 7 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 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.892%
avg views ÷ 216,083 subscribers
Avg views / post
1,930
97 posts measured
Reaction rate
0.032%
reactions ÷ views · ER floor
Posts in window
102
of 102 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 21 of 97 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 13 August 2026
Posts held102 (7 August 202613 August 2026)
Views total186,949
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 06:32 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
71,300
Videos
102,000
Links
65,300

Lifetime counters from Telegram’s own channel header, read 14 August 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
1h 02m
Average length
48s

Measured directly from 78 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

17 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 64.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1164.7%
👍423.5%
💩15.88%
🤡15.88%

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 21 of the 102 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 102 most recent posts we hold, published 7 August 2026 to 13 August 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

13 Aug 2026, 18:22 UTC≈2,230 viewsread 14 August 2026
Video

#台灣台南歸仁聖元宮 在外面赌博输了不少钱 在神灵前执行家法 #吃瓜 #每日瓜讯

13 Aug 2026, 16:58 UTC≈2,410 views0 reactionsread 14 August 2026
Video

#一小时妻子服务体验 花钱找罪受,还敢结婚吗? 穿成这样上门当一小时“妻子”,嘴上叫你干活,实际全程在挑逗。

13 Aug 2026, 15:57 UTC≈2,450 views0 reactionsread 14 August 2026
Video

骑太快,躲不及转弯的奥迪,撞地上人都抽搐了!大姨好人呐,还让女司机不要走,不然就成逃逸了!

13 Aug 2026, 15:53 UTC≈2,440 viewsread 14 August 2026
Video

台湾集美疯了 撒泼打滚的🌚 #吃瓜 #每日瓜讯

13 Aug 2026, 15:44 UTC≈2,410 viewsread 14 August 2026
Video

#金店零元购 你以为戴口罩就抓不到你了嘛?

13 Aug 2026, 15:33 UTC≈2,410 viewsread 14 August 2026
Video

#羊群保龄球 撞死这么多羊,什么时候能吃完啊!

13 Aug 2026, 15:30 UTC≈2,400 viewsread 14 August 2026
Video

【机长大麻阳性反应 印度客机急降落】 从普吉飞往德里的一架印度航空飞机,机长陷入操纵失控状态,机身开始急降落。副驾驶成功迫降,但24人受伤。印度媒体报道。 事故后,机长和副驾驶接受了药物检测。机长在两次检测中显示出大麻阳性反应。据印度民航部称,调查仍在进行中 #印度奇葩行为 #吃瓜 #每日瓜讯

13 Aug 2026, 15:30 UTC≈2,340 viewsread 14 August 2026
Photo

#小红书 是一个魔幻的社交 🌚🌚 #吃瓜 #每日瓜讯

13 Aug 2026, 15:30 UTC≈2,330 viewsread 14 August 2026
Photo

百万粉丝网红“雅典娜”(实名孔丽梅)失踪三年后,2026年8月网传其已遇害的消息引发热议。8月11日,孔丽梅的母亲袁女士公开辟谣,称女儿仍处于失踪状态,从未收到任何确认其遇害的消息。 母亲发声核心内容 否认遇害传闻:袁女士明确表示,网传女儿已遇害的消息不属实,截至目前她未收到任何关于女儿遇害的官方或非官方确认信息,孔丽梅依然处于失踪状态。 澄清案件关联:袁女士称,从未有人告知她女儿的失踪案与近期被引渡回国的犯罪嫌疑人刘某文有关,相关传言毫无根据。 诉说家属痛苦:作为家中独生女的母亲,袁女士透露女儿失踪的三年里,她一直生活在痛苦之中。此次网络谣言的传播,给本就备受煎熬的家属带来了严重的二次伤害。 呼吁停止造谣:袁女士恳请网友和相关平台停止传播未经证实的信息,避免不实言论进一步伤害家属并干扰警方的侦破工作。 事件背景与相关澄清 失踪经过:2023年3月,孔丽梅的短视频账号停更;同年6月,她被一名李姓女友以陪伴散心为由骗至菲律宾马

13 Aug 2026, 01:49 UTC144 viewsread 13 August 2026
Video

【N1国际】U投首选平台|全球第一 |值得信赖 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️注册网址: n10948.com ⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡ ⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡ ⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡ ⚡️N1超神时刻: 😫百家乐神秘大佬出手精准预测成功提款925万U 😫JDB财神捕鱼 爆爆爆 喜提116万U 😫PP糖果电子大哥6u进场320U离场以小博大 【#N1国际|全网福利天花板】 新客户首存500U 彩金38U 新客户首存1000U 彩金88U 新客户首存3000U 彩金238U 新客户首存5000U 彩金358U 新客户首存1万U 彩金528U ⚡️N1国际: 😘#Choice真人视讯限红20万u一口 😘#DB真人视讯限红50万U一口 😘#PG电子限红3000U一啦 😘#PP电子限红800U一啦 😘#支持任意平台vip等级平移 ⚡️⚡️⚡️⚡️: n10948.com 😞双向客服

13 Aug 2026, 01:49 UTC395 viewsread 13 August 2026
Video

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Showing the 12 most recent of 102 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.

Citation-graph rank

Citation-graph rank — 812,999 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 3 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 · 201,839
#1
东南亚大事件
@bx666 · 467,524
#2
吃瓜群众🍉
@chigua_e · 231,106
#3
(吃瓜)搞笑😐视频
@cgbg8 · 105,049
#4
中文段子吃瓜中心
@chiguale8 · 15,092
#5
吃瓜搞笑
@guagua · 75,599
#6
头条事件
@quanqiudashijian · 77,710
#7
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 78,322
#8
东南亚华人情报站
@svip40 · 95,034
#9
内涵搞笑🫥
@chiguahs · 110,754
#10
再看吴哥频道
@jpz_888 · 12,828
#11
【吃瓜🍉&搞笑】
@GQSP9 · 121,979
#12
东南亚挨打日记
@pyzcn · 217,330
#13
中文安危曝光🌸海外华人日记
@tghuarenba · 21,956
#14
中国悲剧档案官方频道
@newszg_official · 164,379
#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 · 87,278
#17
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 273,810
#18
吃瓜丨素材丨内涵段子丨搞笑视频
@chiguasucai · 12,245
#19
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 308,035
#20
吃瓜群众【 猎奇】
@chiguadog · 154,019
#21
东南亚大事件
@kanxia · 487,657
#22
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 103,638
#23
全球精品素材
@taiwansucai223 · 11,995
#24
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 142,141
#25
皮皮虾🦐搞笑吃瓜
@pipixia · 12,530
#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 · 26,008
#28
搞笑段子《问题不大》😹
@GXduanzi1 · 124,233
#29
【话社】狗推素材🫥
@sucaihs · 76,010
#30
每日沙雕墙
@woshadiao · 115,261
#31
汉城海外素材 (🅢🅤🅒🅐🅘)
@sucai · 52,192
#32
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 175,382
#33
海华大事件❖6U.com娱乐首选🅥
@bx777 · 34,288
#34
💯【佳佳】美食素材圈💯
@sucai177 · 104,491
#35
海外大事件(猎奇-吃瓜)
@aa144 · 35,051
#36
东南亚悬赏-吃瓜中心
@dnyggg · 41,974
#37
吃瓜群众/内涵段子/搞笑视频
@chigua186 · 19,822
#38
头像(林深见鹿)壁纸
@touxiang11 · 4,416
#39
简易文案馆♥️ ͒
@jywag888 · 55,235
#40
今日全网曝光频道
@tx581 · 308,671
#41
neihanduanzi
@neihanduanzi1 · 224,426
#42
快来吃瓜
@renrenchigua · 68,207
#43
☀️【佳佳】生活素材馆☀️
@sucai277 · 106,448
#44
吃瓜段子 @FLLCG
@FLLCG · 40,038
#45
海外素材库
@sucai1 · 108,653
#46
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 45,484
#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 · 101,752
#48
Kanallani Dodasi | Расмий канал
@kduzb · 819,331
#49
🎬 بیسیمچی مدیا
@bisimchimedia · 1,052,820
#50
خبر فوری
@khabar_furei · 1,518,931
#51
Pumpcoinbets💰📈 NFT & Crypto Gems 💎
@pumpcoinbets · 1,039,723
#52
عجیب ولی واقعی
@ajibvalivaghaei · 581,097
#53
اخبارفوری ومهم / خبرفوری 🔖
@akhbare_moheem · 757,656
#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.

吃瓜群众【 猎奇】
@chiguadog · 154,019
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 12 August 2026
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 175,382
Telegram ranks this channel #7 of 63 here — alongside 62 others — read 12 August 2026
【吃瓜🍉&搞笑】
@GQSP9 · 121,979
Telegram ranks this channel #8 of 53 here — alongside 52 others — read 14 August 2026
中国悲剧档案官方频道
@newszg_official · 164,379
Telegram ranks this channel #13 of 52 here — alongside 51 others — read 12 August 2026
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 124,121
Telegram ranks this channel #35 of 46 here — alongside 45 others — read 14 August 2026
در پرتویی از قرآن
@UnderthelightofQuran · 112,409
Telegram ranks this channel #42 of 86 here — alongside 85 others — read 14 August 2026

This channel appears in 6 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 14 August 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), 216,083 subscribers as measured 14 August 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.