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Channel
中文吃瓜中心沙雕日常 🍉
@chigua_af
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
4,655subscribers
+0 since we began measuring on 3 November 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003672374787 |
|---|---|
| Type | Channel |
| Username | @chigua_af |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 November 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/chigua_af |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 08:49 | 4,655 | no change |
| 3 Nov 2026, 04:22 | 4,655 | no change |
| 3 Nov 2026, 04:22 | 4,655 | first reading |
Engagement
20 posts held, back to 16 October 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.764%
- avg views ÷ 4,655 subscribers
- Avg views / post
- 35.6
- 19 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 20 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.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 20 (16 October 2026 – 3 November 2026) |
| Views total | 676 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 04:22 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
- Video runtime
- 4m 31s
- Average length
- 18s
Measured directly from 15 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 20 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).
最后吓我一跳
中文吃瓜中心沙雕日常 🍉 pinned «🤖TG高质量社工库机器人强烈推荐👍 ⬇️强烈推荐以下开户机器人⬇️ 免费开户机器人 t.me/aisgk1?start=1077 新之助社工库 t.me/xzzsgkbot?start=wxwcnyovbaon 伊人社工库 t.me/yrsgk_bot?start=S2d2xHnnGFP2Uh2 六扇门机器人 https://t.me/lsmcrbot?start=UTZy9v 万象社工库 https://t.me/WanXiangSGK_bot?start=6636825224 最好…»
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#吃瓜 #内涵 #沙雕 异地恋,一见面就顾着玩手机
#吃瓜 #健身 #瑜伽 解锁新姿势
#吃瓜 #奶子 #骚货 好骚啊,喜欢被调教的女孩
#吃瓜 #户外 #露点 腋毛美女也挺有感觉呀!
#吃瓜 #嫖娼 #水床 688的服务,怎么样?
#吃瓜 #按摩 #技师 我也想去上上课!
#吃瓜 #美女 #骚鸡 怕老婆岀轨,这样锁起来应该安全了吧?
#吃瓜 #猥琐 #飞机 又一个甩狙哥?
Showing the 12 most recent of 20 posts we hold for @chigua_af. 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 6 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.
@SGK7777777 · 16,0463 posts免费开户机器人(天启-永不落幕)
@aisgk11111bot · 118,8541 post会员贴纸/表情/图标/贴纸表情/宝藏资源
@bansui1 · 10,8091 post中文反差萝莉母狗探花偷拍吃瓜🔞
@bole5555 · 3,1461 post混剪小屋🫦 抖音风裸舞抖音曝光
@chaankefubot · 7,4161 post吃瓜色色
@chiguaseseo · 4,7011 post暗网赚钱项目灰产骗局曝光🪬
@D1SOU10 · 4,2091 post海的那边有什么
@hdnb8 · 7341 post极搜🔍资源搜索@JISOU
@jisou2 · 2,419,1371 post吃瓜ღ猎奇【抖音吃瓜】
@okrrr8 · 1,1151 post社工库机器人推荐频道
@sgk44444 · 2,4191 post社工库机器人 推荐聊天群
@SGKgongqun · 8,8981 post资源搜索 🔍中文搜索 超级索引 全能搜片
@sounv5 · 8,1531 post📣【U盟供需】限时免费
@umenggx · 8,7531 post猎奇吃瓜榜💯(吃瓜 美女 沙雕 搞笑 )
@zousouwo · 1521 post
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 3 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_af), 4,655 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/chigua_af.
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.