#吃瓜 #川普 #早苗 高市早苗给特朗普举行欢迎仪式,多次提醒特朗普,应该往这里走

Channel
吃瓜群众 吃瓜娱乐搞笑🔥
@ChiGuaLianMeng
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
27,436subscribers
+37 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001713401132 |
|---|---|
| Type | Channel |
| Username | @ChiGuaLianMeng |
| Description | 🍉 吃瓜一线,快乐加倍! 本频道专注分享娱乐八卦、搞笑趣闻、热门梗图和沙雕日常。 欢迎吃瓜群众一起来摸鱼聊天,吐槽快乐每一天~ ⚠️ 文明吃瓜,友善互动,拒绝引战。 #吃瓜 #娱乐圈 #搞笑视频 #热门梗 #八卦爆料 |
| Created | 8 April 2022 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/ChiGuaLianMeng |
Topic
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 16:20 | 27,436 | +44 |
| 17 Sept 2026, 04:18 | 27,392 | +63 |
| 15 Sept 2026, 08:01 | 27,329 | +65 |
| 13 Sept 2026, 14:37 | 27,264 | +39 |
| 11 Sept 2026, 21:41 | 27,225 | +80 |
| 9 Sept 2026, 13:58 | 27,145 | +66 |
| 6 Sept 2026, 06:15 | 27,079 | +100 |
| 4 Sept 2026, 02:36 | 26,979 | +61 |
| 2 Sept 2026, 15:56 | 26,918 | -6 |
| 1 Sept 2026, 13:32 | 26,924 | +19 |
| 31 Aug 2026, 10:23 | 26,905 | +17 |
| 30 Aug 2026, 10:22 | 26,888 | -9 |
| 29 Aug 2026, 13:14 | 26,897 | +18 |
| 28 Aug 2026, 13:28 | 26,879 | +6 |
| 27 Aug 2026, 11:54 | 26,873 | +1 |
| 26 Aug 2026, 14:17 | 26,872 | -5 |
| 25 Aug 2026, 12:13 | 26,877 | +6 |
| 24 Aug 2026, 13:59 | 26,871 | -23 |
| 22 Aug 2026, 23:25 | 26,894 | -32 |
| 21 Aug 2026, 15:07 | 26,926 | first reading |
Engagement
432 posts held, back to 8 April 2022 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.153%
- avg views ÷ 27,436 subscribers
- Avg views / post
- 41.9
- 341 posts measured
- Reaction rate
- 1.45%
- reactions ÷ views · ER floor
- Posts in window
- 341
- of 432 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 26 of 341 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 September 2026 |
|---|---|
| Posts held | 432 (8 April 2022 – 19 September 2026) |
| Views total | 14,287 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Sept 2026, 20:11 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
- ≈1,430
- Videos
- ≈2,760
- Links
- ≈559
Lifetime counters from Telegram’s own channel header, read 19 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
- 8h 15m
- Average length
- 1m 31s
Measured directly from 328 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
3,499 reactions across 35 posts, in 18 distinct kinds. The most used accounts for 40.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,411 | 40.3% | |
| 👍 | 1,316 | 37.6% | |
| 🔥 | 175 | 5.00% | |
| 🥰 | 155 | 4.43% | |
| 👏 | 136 | 3.89% | |
| 👎 | 77 | 2.20% | |
| 😁 | 71 | 2.03% | |
| ❤🔥 | 50 | 1.43% | |
| 💩 | 40 | 1.14% | |
| 💋 | 35 | 1.00% | |
| 😱 | 9 | 0.257% | |
| 🤔 | 9 | 0.257% | |
| 🍌 | 8 | 0.229% | |
| 🙏 | 3 | 0.086% | |
| ⚡ | 1 | 0.029% | |
| 🎉 | 1 | 0.029% | |
| 🏆 | 1 | 0.029% | |
| 🤩 | 1 | 0.029% |
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 40 of the 432 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 3,499 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 432 most recent posts we hold, published 8 April 2022 to 19 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
#吃瓜 #定制 #蛋糕 哦哦 那确实有点大
#吃瓜 #黑丝 #美女 月底看看腿,顺风又顺水...
#吃瓜 #医生 #教师 涨知识!看病挂号你就认准副主任,不找老医生,不找有行政职务的,就找40岁左右的主治或者副主任医师。
#吃瓜 #学生 #家长群 这个家长群还要得嘛,都开始约架了
#吃瓜 #商k #美女 这是什么场🌚
#吃瓜 #猫猫头 #弹力 好羡慕这颗猫猫头
#吃瓜 #菊花 #摄影 菊花别样,瓜友们喜欢嘛
😁1
#AI短剧 #AI成人短剧 #肥臀 #巨乳 #女上位 📱片名:超能旅行团 EP3-5 他刚救下那个女孩,伤口还没完全愈合,她就突然翻身压在他身上,丰满的胸部几乎要将他淹没。她低头,嘴角带着一丝狡黠的笑,手已经伸向他的腰带。 ➡️更多AI 短剧 查看置顶!
#AI短剧 #AI成人短剧 #肥臀 #巨乳 #母狗 📱片名:我把兄弟变母狗 EP1 秦狩躺在宿舍上铺,手里握着手机,正准备解决一下生理需求。他没想到,这一次打飞机会改变他的命运。随着一阵眩晕,他发现自己竟然觉醒了一个奇葩系统:射到谁,谁就变成女生! ➡️更多AI 短剧 查看置顶!
🥰1
#AI短剧 #AI成人短剧 #肥臀 #巨乳 #口爆 📱片名:兄弟妈妈好好操 EP3-4 从那天起,客厅、车后座、厨房、楼梯间,甚至阳光沙滩上,巨乳少妇与黑人纠缠不清,一边自慰一边沉沦,禁忌的兄弟妈妈,玩到停不下来。 ➡️更多AI 短剧 查看置顶!
🔥1
#吃瓜 #持枪 #军队 🙈这是啥情况?
Showing the 12 most recent of 432 posts we hold for @ChiGuaLianMeng. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜群众 吃瓜娱乐搞笑🔥” (@ChiGuaLianMeng), 27,436 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ChiGuaLianMeng.
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.