听说吃饱了才有力气打螺丝对吧? ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp

Channel
东南亚吃瓜社(八卦 黑料)
@baguabang
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,069subscribers
+6,215 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001772251885 |
|---|---|
| Type | Channel |
| Usernames | @baguabang @diecuiyuan |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 40 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/baguabang |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 14:57 | 15,069 | +74 |
| 7 Sept 2026, 03:15 | 14,995 | +1,666 |
| 4 Sept 2026, 14:01 | 13,329 | +362 |
| 3 Sept 2026, 00:29 | 12,967 | +5 |
| 2 Sept 2026, 23:36 | 12,962 | +167 |
| 2 Sept 2026, 00:17 | 12,795 | no change |
| 1 Sept 2026, 22:04 | 12,795 | +149 |
| 1 Sept 2026, 02:05 | 12,646 | +23 |
| 31 Aug 2026, 20:45 | 12,623 | +282 |
| 31 Aug 2026, 04:44 | 12,341 | +52 |
| 30 Aug 2026, 22:23 | 12,289 | +184 |
| 30 Aug 2026, 05:16 | 12,105 | +46 |
| 29 Aug 2026, 19:08 | 12,059 | +228 |
| 29 Aug 2026, 03:03 | 11,831 | +48 |
| 28 Aug 2026, 18:44 | 11,783 | +113 |
| 28 Aug 2026, 00:43 | 11,670 | no change |
| 27 Aug 2026, 21:28 | 11,670 | +151 |
| 27 Aug 2026, 02:15 | 11,519 | +53 |
| 26 Aug 2026, 18:38 | 11,466 | +72 |
| 26 Aug 2026, 04:53 | 11,394 | first reading |
Engagement
252 posts held, back to 8 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 31 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.13%
- avg views ÷ 15,069 subscribers
- Avg views / post
- 622
- 236 posts measured
- Reaction rate
- 0.203%
- reactions ÷ views · ER floor
- Posts in window
- 236
- of 252 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 81 of 236 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 252 (8 August 2026 – 2 September 2026) |
| Views total | 146,839 |
| Reactions total | 104 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:58 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
- 58m 37s
- Average length
- 21s
Measured directly from 170 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
105 reactions across 81 posts, in 9 distinct kinds. The most used accounts for 28.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 28.6% | |
| 😁 | 13 | 12.4% | |
| ⚡ | 12 | 11.4% | |
| 👍 | 11 | 10.5% | |
| 🔥 | 11 | 10.5% | |
| 👏 | 10 | 9.52% | |
| 🎉 | 9 | 8.57% | |
| 🥰 | 8 | 7.62% | |
| 🤩 | 1 | 0.952% |
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 83 of the 252 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 105 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 252 most recent posts we hold, published 8 August 2026 to 2 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
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谁的东西掉了 有人知道这是什么吗? ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
有人说医美就是个长期财务陷阱。 ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
😀😀😀😀😀😀😀 😀😀😀😀😀 💞💞💞💞💞💞✡️😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 😀九博官方频道:👉@JBGJ 😀九博官方开奖:👉@JBKJ 😀九博上下分群:👉@jiubovip 😀九博国际主营: ⚡️😀😀😀 ⚡️ 😀😀 ⚡️😀😀 ⚡️😀😀 ⚡️😀😀⚡️😀😀❤️😀😀等多种游戏... 🔥九博扫雷点击进入🔥 全新玩法,震撼上线! 热门彩种,火力全开! 激情升级,精彩加倍! 抢先体验,赢在每一局 九博国际放心玩 · 放心赢 · 放心提! 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 🏦钱包验资: @kpay 💁♀️官方客服: @J111~@J888 💁♀️官方财务: @j444~@j666
娶一个老婆要38.8万彩礼, 而体验一次新婚只需699 再这么下去中国结婚率又要暴跌了。。 ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
两百多万!就买了“一只鸟”? 我以为105万迪拉姆已经够疯了。 结果,它还没成交。 价格继续往上叫—— 最终,110万迪拉姆成交。🦅 200多万人民币, 买的不是房,不是车, 是一只猎鹰。 ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
当然是你大你说了算 声音大也是大 ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
❤2⚡1
😀😀😀😀😀😀😀 😀😀😀😀😀 💞💞💞💞💞💞✡️😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 😀九博官方频道:👉@JBGJ 😀九博官方开奖:👉@JBKJ 😀九博上下分群:👉@jiubovip 😀九博国际主营: ⚡️😀😀😀 ⚡️ 😀😀 ⚡️😀😀 ⚡️😀😀 ⚡️😀😀⚡️😀😀❤️😀😀等多种游戏... 🔥九博扫雷点击进入🔥 全新玩法,震撼上线! 热门彩种,火力全开! 激情升级,精彩加倍! 抢先体验,赢在每一局 九博国际放心玩 · 放心赢 · 放心提! 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 🏦钱包验资: @kpay 💁♀️官方客服: @J111~@J888 💁♀️官方财务: @j444~@j666
防窥膜厂家要天塌了,华为把防窥屏做成手动的了 ➖➖➖➖ ➖ ➖➖➖➖➖ 投稿:@c1ppp
🔥1
Showing the 12 most recent of 252 posts we hold for @baguabang. 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 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.
@jbgj · 13,63726 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,80426 postsY3国际 官方频道
@ai038 · 2,5025 posts🍉吃瓜🍉 搞笑🍉 新闻
@chiguagaoxiaoxinwen · 13,0015 posts2028体育 PG电子 麻将胡了 AG捕鱼
@GW2028TY · 10,0205 posts8K国际u台 PG电子 麻将胡了 百家乐
@GW_8KGJ · 10,0315 postsN1国际u台 PG电子 麻将胡了 AG捕鱼 百家乐
@N1GW8 · 10,0235 posts💖PG电子💖麻将胡了💖AG捕鱼
@qsty8999 · 10,6635 posts球速体育 赛事推荐、足球、nba篮球|世界杯
@QSTY988 · 4,5745 posts🏆182体育🏆官网福利
@vip182ty888 · 9,7075 posts182体育 精准赛事推荐、nba篮球、足球|世界杯
@VIP182TYTJ · 2,9935 postsY3国际 赛事推荐、nba篮球、足球|世界杯
@Y3GJTY · 3,0745 postsY3 国际u台 PG电子 麻将胡了 AG捕鱼 百家乐
@Y3VIP678 · 11,0335 posts🌸自慰 🌸反差🌸
@ziweifancha7 · 8,5675 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,680,2064 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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚吃瓜社(八卦 黑料)” (@baguabang), 15,069 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/baguabang.
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.