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Channel
皮皮吃瓜【搞笑、头条、生活】
@kanxi8
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
114,875subscribers
+82,803 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002292067979 |
|---|---|
| Type | Channel |
| Username | @kanxi8 |
| Description | 揭露真相,曝光黑暗,惩恶扬善 文案 @youziqun 贴纸 @bqb97 商务 @niudashun_bot |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/kanxi8 |
Topic
Other / unclassifiable — 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 42% 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 |
|---|---|---|
| 26 Sept 2026, 20:18 | 114,875 | +39,318 |
| 17 Sept 2026, 15:38 | 75,557 | +37,573 |
| 15 Sept 2026, 15:00 | 37,984 | +21,601 |
| 14 Sept 2026, 02:36 | 16,383 | -862 |
| 12 Sept 2026, 06:16 | 17,245 | -1,192 |
| 9 Sept 2026, 23:56 | 18,437 | -1,642 |
| 6 Sept 2026, 18:58 | 20,079 | -4,178 |
| 4 Sept 2026, 08:16 | 24,257 | -791 |
| 2 Sept 2026, 20:07 | 25,048 | -584 |
| 1 Sept 2026, 18:03 | 25,632 | -738 |
| 31 Aug 2026, 18:33 | 26,370 | -805 |
| 30 Aug 2026, 15:25 | 27,175 | -376 |
| 29 Aug 2026, 15:57 | 27,551 | -366 |
| 28 Aug 2026, 17:24 | 27,917 | -222 |
| 27 Aug 2026, 17:43 | 28,139 | -120 |
| 26 Aug 2026, 14:22 | 28,259 | -275 |
| 25 Aug 2026, 12:48 | 28,534 | -459 |
| 24 Aug 2026, 13:53 | 28,993 | -233 |
| 22 Aug 2026, 23:24 | 29,226 | +399 |
| 21 Aug 2026, 12:27 | 28,827 | first reading |
Engagement
508 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 81 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.366%
- avg views ÷ 114,875 subscribers
- Avg views / post
- 421
- 214 posts measured
- Reaction rate
- 0.175%
- reactions ÷ views · ER floor
- Posts in window
- 214
- of 508 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 214 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 508 (7 August 2026 – 30 September 2026) |
| Views total | 90,094 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 06:03 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
- ≈14,000
- Videos
- ≈18,000
- Links
- ≈911
Lifetime counters from Telegram’s own channel header, read 30 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
- 4h 33m
- Average length
- 46s
Measured directly from 357 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
14 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 57.1% | |
| ⚡ | 1 | 7.14% | |
| 🎉 | 1 | 7.14% | |
| 👍 | 1 | 7.14% | |
| 😁 | 1 | 7.14% | |
| 🤩 | 1 | 7.14% | |
| 🤮 | 1 | 7.14% |
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 22 of the 508 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 508 most recent posts we hold, published 7 August 2026 to 30 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
一博主因发布山东烟台某学校中秋国庆假期作业相关信息,收到了校方撤稿函要求下架删除
他的教师前妻出轨她的小学同学,男主12年就有了家庭和小孩,双方在都有家庭的情况下和保持多年的情人关系,他妻子竟然大胆到让奸夫上门通奸,被捉奸后还狡辩是送手机。他和前妻结婚大喜之日,男主给女主唱歌、发“我爱你”的语音,女主把这两段语音收藏在微信里多年。2025年10月他换了带监控的锁才发现,婚后妻子还和奸夫还保持4年的地下情人,男主已经熟练的按他家密码开锁了,他婚内要求同房被拒绝,转头妻子就给奸夫发信息表达:“我为你守身如玉”。更炸裂的是给两岁的孩子做了亲子鉴定,结果连孩子都不是亲生的。
每次坐飞机商务舱都有空姐来打扰我😐
内地游客香港旅游,离港时意外抽中“香港麦当劳万元补贴”,化身麦当劳女侠将奖金全数赠送陌生人。 不仅将餐点送给长者、警察、清洁工和有需要的人,更为避免增加店员工作量,在24小时内走访港九多家分店请客。
这看着都有点疼!
群友嫖娼被抓
网传女导购气质女郎刘佳抖音8.1W粉睡顾客老公,知三当三,被原配裸照贴试衣间 #热搜 #佳木斯迪桑特
Photo, posted without a caption
晚安💤兄弟们 #杨幂
大晚上不睡觉,跑狗窝里日狗
这种床上最会照顾人了
Showing the 12 most recent of 508 posts we hold for @kanxi8. 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 4 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.
@jisou2 · 1,814,56125 posts开云体育|MK体育|福利官网
@kaiyunzx · 3,60922 postsMK体育
@MK888bot · 12,55722 postsPG电子|麻将胡了|赏金女王🕹
@dzyx6 · 8,92620 posts中文频道🔎最新吃瓜全能搜索🏝
@jisou_nds · 62,7985 postsEmoji表情🦋贴纸表情包🦋表情包大全
@bqb97 · 3,2763 posts日本女优 中文字幕 高清优质资源
@cctv586 · 58,6643 posts麻豆传媒|传媒专辑
@cctv_madou · 61,3813 posts3D动漫|二次元里番|动漫视频
@dmav13 · 27,7233 posts新澳门六合彩|六合彩资料🀄️
@LHC97 · 62,8603 posts🏆赛事资讯 体育推单 足球推单⚽️
@tiyu_188 · 56,7473 posts糖心嫩妹【每日精选】
@xuesheng_tv · 61,7633 posts游子风景文案 宫本语音包
@youziqun · 54,6423 posts女女调教|伪娘拉拉
@zhongkou_av · 6,5593 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“皮皮吃瓜【搞笑、头条、生活】” (@kanxi8), 114,875 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/kanxi8.
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.