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Channel
吃瓜 娱乐 猎奇 内涵【全民吃瓜保熟版】😎
@xpj37app
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
34,570subscribers
+29,816 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003787039821 |
|---|---|
| Type | Channel |
| Username | @xpj37app |
| Description | —海外华人必看的吃瓜阵地! 最新内幕、爆笑生活趣事、意想不到的惊喜…… 工作再累,也别错过这里的欢乐和刺激,一起嗨、一起瓜! #吃瓜 #搞笑 #猎奇 #民生 #娱乐 投稿商务合作 @qtcy888 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xpj37app |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 18 Sept 2026, 14:39 | 34,570 | -142 |
| 16 Sept 2026, 07:22 | 34,712 | -160 |
| 14 Sept 2026, 12:17 | 34,872 | -231 |
| 12 Sept 2026, 19:37 | 35,103 | -288 |
| 10 Sept 2026, 22:19 | 35,391 | -613 |
| 7 Sept 2026, 18:38 | 36,004 | -134 |
| 4 Sept 2026, 19:17 | 36,138 | -266 |
| 3 Sept 2026, 01:47 | 36,404 | -116 |
| 1 Sept 2026, 21:05 | 36,520 | -86 |
| 31 Aug 2026, 22:27 | 36,606 | -172 |
| 31 Aug 2026, 01:15 | 36,778 | -180 |
| 30 Aug 2026, 03:44 | 36,958 | -44 |
| 29 Aug 2026, 07:02 | 37,002 | -68 |
| 28 Aug 2026, 04:13 | 37,070 | -64 |
| 27 Aug 2026, 04:38 | 37,134 | -74 |
| 26 Aug 2026, 06:22 | 37,208 | -101 |
| 25 Aug 2026, 02:48 | 37,309 | -118 |
| 23 Aug 2026, 20:33 | 37,427 | -248 |
| 22 Aug 2026, 03:57 | 37,675 | -134 |
| 20 Aug 2026, 23:48 | 37,809 | first reading |
Engagement
1,396 posts held, back to 7 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 91 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.978%
- avg views ÷ 34,570 subscribers
- Avg views / post
- 338
- 767 posts measured
- Reaction rate
- 0.286%
- reactions ÷ views · ER floor
- Posts in window
- 767
- of 1,396 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 80 of 767 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 1,396 (7 August 2026 – 1 October 2026) |
| Views total | 259,199 |
| Reactions total | 80 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 12:55 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
- ≈5,150
- Videos
- ≈14,700
- Links
- ≈13,300
Lifetime counters from Telegram’s own channel header, read 1 October 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
- 10h 56m
- Average length
- 48s
Measured directly from 814 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
80 reactions across 80 posts, in 13 distinct kinds. The most used accounts for 13.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 13.8% | |
| ⚡ | 10 | 12.5% | |
| 👍 | 9 | 11.3% | |
| 😁 | 9 | 11.3% | |
| 🥰 | 9 | 11.3% | |
| 👏 | 8 | 10.0% | |
| 🤩 | 8 | 10.0% | |
| 🔥 | 6 | 7.50% | |
| 🎉 | 5 | 6.25% | |
| 💔 | 2 | 2.50% | |
| ❤🔥 | 1 | 1.25% | |
| 🍌 | 1 | 1.25% | |
| 👎 | 1 | 1.25% |
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 80 of the 1,000 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 August 2026 to 1 October 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
这样对女儿一辈子都不用走动 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
🤯心脏病 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
操逼打架回家去 堵在路中央算什么 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
不合就离婚好了 干嘛杀人🤯🤯 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
汕尾海丰 叛逆期的烦恼 这样教育也不行吧 ? 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
为什么拉黑我 ? 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
#美女 #车祸 #扶不扶 呢 ? 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
#腋毛 也成操点了 ? 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
真以为他家狗不咬人呢 牵着当宝贝一样溜达!#狗咬人 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
在哪直播啊 ? 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 😘😘😘😘😘 世界杯官方认证平台 😍😄😄😄😄综合娱乐U台 亿U秒出 实力运营【OK游戏中心 新币担保上压400万U】 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 😀😀😀😀😀9G.COM 全球布局 实力保障 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😂😂😂😂😂😂✔️大佬圈首选平台 下载app领188元 ⚡️⚡️⚡️⚡️ 卖友求荣:邀请好友领取彩金 ⚡️🤩🤩🤩🤩🤩⚡️🤩⚡️🤩🤩077.vip 首存二存赠送50万元+
这样打你了 !#鞭打 骚屁股 华人头条 全民吃瓜 西港助手 新人红包 国产传媒 全民探花 听说|文案馆 有偿投稿
Showing the 12 most recent of 1,396 posts we hold for @xpj37app. 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 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.
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.
@hr138 · 62,8731,193 posts全民探花🌺网红博主实录🎬
@th117 · 29,7111,193 posts999听说文案馆|冷暖自知
@tinsuo899 · 60,1351,193 posts香港赛马|环球体育|j9九游会|hth体育|米兰体育
@xgsm888 · 3431 posts78.COM-官方频道@DF78
@tg78com · 19,99212 posts小宝的能量基地
@hu520 · 1,3568 postsU99贵宾会-官方频道
@U99GBH · 3,1077 postsN9.COM|官方频道
@N9_com1 · 12,5705 posts奇趣百科 导航
@QQmua · 39,3204 posts亚太导航频道
@dh555 · 6,0983 posts亚太国际-86.Net
@uu886bot · 10,6193 posts亚太国际→86.Net
@ytgj9999 · 33,2943 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@xpj37app named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 300 posts, 13 August 2026 – 24 September 2026 · confirmed gone 16 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜 娱乐 猎奇 内涵【全民吃瓜保熟版】😎” (@xpj37app), 34,570 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xpj37app.
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.