打什么😳 #吃瓜 #内涵

Channel
🍉每日吃瓜🔥🔥🔥
@av798
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
14,843subscribers
-151 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001565393834 |
|---|---|
| Type | Channel |
| Usernames | @av798 @lieqiguai |
| Description | 欢迎来到:🍉吃瓜不吐皮研究所 全网吃瓜视频极速搬运工 ✅ 今日份“电子榨菜”已上线! ✅ 每日精选 10+ 爆料视频 ✅ 满地乱爬的沙雕视频,笑出鹅叫的翻车现场。 ✅烦恼清零,功德+1,每天三分钟,快乐一整天。 ✅ 搞笑、内涵、猎奇、第一现场 🍉 瓜大且脆,速来围观! 投稿/商务合作联系:@Daguai_bot 防失联导航备用: @Guaiabc #吃瓜 #搞笑 #猎奇 #内涵 #热点事件 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 129 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/av798 |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 16:51 | 14,843 | -22 |
| 10 Nov 2026, 10:55 | 14,865 | -114 |
| 9 Nov 2026, 06:38 | 14,979 | -6 |
| 9 Nov 2026, 00:49 | 14,985 | -88 |
| 7 Nov 2026, 18:28 | 15,073 | -4 |
| 7 Nov 2026, 16:19 | 15,077 | -104 |
| 6 Nov 2026, 18:37 | 15,181 | -7 |
| 6 Nov 2026, 17:26 | 15,188 | +2,947 |
| 5 Nov 2026, 21:47 | 12,241 | -5 |
| 5 Nov 2026, 20:27 | 12,246 | -77 |
| 4 Nov 2026, 19:39 | 12,323 | -2 |
| 4 Nov 2026, 18:27 | 12,325 | -42 |
| 3 Nov 2026, 22:38 | 12,367 | -59 |
| 3 Nov 2026, 17:30 | 12,426 | -802 |
| 2 Nov 2026, 14:24 | 13,228 | +5 |
| 1 Nov 2026, 23:26 | 13,223 | -3 |
| 1 Nov 2026, 16:46 | 13,226 | -49 |
| 31 Oct 2026, 23:06 | 13,275 | +2 |
| 31 Oct 2026, 18:19 | 13,273 | -30 |
| 30 Oct 2026, 21:58 | 13,303 | first reading |
Engagement
672 posts held, back to 5 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 72 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.88%
- avg views ÷ 14,843 subscribers
- Avg views / post
- 724
- 191 posts measured
- Reaction rate
- 0.138%
- reactions ÷ views · ER floor
- Posts in window
- 191
- of 672 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 15 of 191 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 672 (5 August 2026 – 11 November 2026) |
| Views total | 138,270 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 07:32 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
- ≈12,600
- Videos
- ≈17,200
- Links
- ≈12,700
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
- 7h 15m
- Average length
- 48s
Measured directly from 544 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
53 reactions across 39 posts, in 3 distinct kinds. The most used accounts for 96.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 51 | 96.2% | |
| 👌 | 1 | 1.89% | |
| 👎 | 1 | 1.89% |
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 50 of the 672 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 672 most recent posts we hold, published 5 August 2026 to 11 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 191 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).
来捣会台球 #吃瓜 #内涵 #台球媛
什么妖魔鬼怪 #吃瓜 #内涵 #老妖婆
📱 【小姨你好香】第4集 阴错阳差住进小姨家,她高冷得像灭绝师太,照顾我却比谁都细 #小姨你好香 #AI短剧 #成人短剧 #真人ai
还以为眼花了 #吃瓜 #内涵 #ai
每日一推 Tik tok作者: huhsuzi #美女 #吃瓜 #抖音
非物质文化遗产 老年组 #吃瓜 #内涵
📱 【网调我的冰山妈妈】第12集 剧情简介:白日里她是华耀集团冷血高傲的冰山CFO,禁欲且不可侵犯;深夜里她却是卑微顺从的“冰蝶”,在主人的命令下剥开蕾丝,跪求宠幸。而最禁忌的快感在于——那个掌控她身体、羞辱她灵魂的“暗夜君王”,竟然是她自己的儿子。正经职业装下藏着怎样的骚浪?禁忌伦理中孕育出多少情欲?快来揭开这段母子之间不可告人的私密契约! #网调我的冰山妈妈 #AI短剧 #成人短剧 #真人ai #母子
? #吃瓜 #内涵 #奇葩
刁民 #吃瓜 #内涵 #沙雕
这种彩礼你出多少 ? #吃瓜 #内涵 #快餐 #探店
餐前舞蹈 行业 内卷 #吃瓜 #内涵 #舞蹈生
Showing the 12 most recent of 672 posts we hold for @av798. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @av798 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 13 August 2026
- Most recent seen missing
- 13 August 2026
- Median time before seen missing
- 16 hours
- Seen missing in the last 30 days
- 0
Mentions
Named by 8 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.
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.
@Guaiabc · 504339 posts新葡京千王-爆分彩金频道
@qwbf88 · 3,79930 posts九博国际 · 公群导航
@jbgj · 18,64625 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,70025 postsVIP 汇盈 大佬集聚地
@TYB020 · 1,76913 posts万万没想到(啥都发)
@Chiguaer · 4,78910 posts香港28|六合心水|六合彩开奖|
@xg28cn · 39710 posts香港28官方频道(PC28、澳门六合、彩票、真人、电子、棋牌)
@xg28vip · 35610 posts香港28吃瓜
@xgcg888 · 36010 posts8K国际官方福利频道
@a8K_99 · 9,3385 postsN1国际官方频道
@N1_yao · 9,1795 posts122体育PG电子/麻将胡了/AG捕鱼/百家乐/棋牌
@qsgf11 · 14,9165 posts𝟏𝟖𝟐体育官方频道
@S182TY · 13,6195 posts182体育 体育赛事 推单频道
@td182TY · 4,0025 posts2028体育-官方频道
@TY2028_8 · 10,2145 posts122体育红单推荐,五大联赛
@tytd16 · 6,6225 postsY3国际 五大联赛 推单频道
@TYtuijian8 · 4,2075 posts122体育-官方频道
@tz228 · 2,8635 posts🅨𝟛国际官方频道
@Y3duchang0 · 12,1955 posts一元云购 · VIP交流群
@yyygjlq · 5,0653 posts一元云购 · 官方导航
@yyygpd · 6,9413 postsSOSO搜搜
@sooo · 490,8652 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“🍉每日吃瓜🔥🔥🔥” (@av798), 14,843 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/av798.
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.