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Channel
皮皮吃瓜|内涵搞笑
@PPchigua
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
51,190subscribers
-2,122 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 | -1001522666952 |
|---|---|
| Type | Channel |
| Username | @PPchigua |
| Description | 皮皮吃瓜投稿 @pige 赞助商:TRX兑换 @cc1bot 自动开TG会员: @svip24Bot |
| Created | Between 1 August 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/PPchigua |
Topic
Gambling & betting — 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 96% 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 Oct 2026, 16:56 | 51,190 | -50 |
| 25 Oct 2026, 19:57 | 51,240 | -37 |
| 24 Oct 2026, 19:17 | 51,277 | -69 |
| 23 Oct 2026, 17:57 | 51,346 | -36 |
| 22 Oct 2026, 21:17 | 51,382 | -85 |
| 21 Oct 2026, 15:21 | 51,467 | -77 |
| 20 Oct 2026, 08:38 | 51,544 | -71 |
| 19 Oct 2026, 07:48 | 51,615 | -61 |
| 18 Oct 2026, 10:55 | 51,676 | -21 |
| 17 Oct 2026, 13:38 | 51,697 | -50 |
| 16 Oct 2026, 13:45 | 51,747 | -43 |
| 15 Oct 2026, 15:19 | 51,790 | -52 |
| 14 Oct 2026, 15:16 | 51,842 | +946 |
| 13 Oct 2026, 06:40 | 50,896 | -234 |
| 9 Oct 2026, 04:21 | 51,130 | -330 |
| 4 Oct 2026, 14:37 | 51,460 | +441 |
| 26 Sept 2026, 09:41 | 51,019 | -290 |
| 19 Sept 2026, 13:20 | 51,309 | -83 |
| 17 Sept 2026, 03:38 | 51,392 | -80 |
| 15 Sept 2026, 04:58 | 51,472 | first reading |
Engagement
1,391 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 163 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.21%
- avg views ÷ 51,190 subscribers
- Avg views / post
- 108
- 520 posts measured
- Reaction rate
- 0.899%
- reactions ÷ views · ER floor
- Posts in window
- 536
- of 1,391 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 109 of 520 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 1,391 (7 August 2026 – 26 October 2026) |
| Views total | 55,970 |
| Reactions total | 125 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 22:22 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
- Photos
- ≈35,000
- Videos
- ≈43,600
- Links
- ≈2,010
Lifetime counters from Telegram’s own channel header, read 26 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
- 7h 45m
- Average length
- 41s
Measured directly from 683 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
191 reactions across 164 posts, in 10 distinct kinds. The most used accounts for 57.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 110 | 57.6% | |
| ❤ | 43 | 22.5% | |
| 😁 | 7 | 3.66% | |
| 🤩 | 7 | 3.66% | |
| 🥰 | 7 | 3.66% | |
| 🔥 | 5 | 2.62% | |
| 🎉 | 4 | 2.09% | |
| ⚡ | 3 | 1.57% | |
| 👏 | 3 | 1.57% | |
| 🤮 | 2 | 1.05% |
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 174 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 191 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 26 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
皮皮吃瓜|内涵搞笑 pinned a video
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皮皮吃瓜|内涵搞笑 pinned a photo
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#皮皮吃瓜 这些选美小姐总算是找到流量密码了
#皮皮吃瓜 正义截停
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#皮皮吃瓜 男子抢了5万个餐厅排队号 “最多的一天有900多个空号,我们一个空号叫过去,需要有3秒时间……”热门餐厅刚开门,线上取号系统就显示数百人排队,叫号不断却没人进店用餐。这不是系统故障,而是新型技术黄牛在作祟。上海警方侦查发现,雷某利用技术手段破解取号系统,批量抢占号源,累计非法获取号源5万余个,在网络平台加价倒卖,非法获利1万余元。目前,雷某因涉嫌非法控制计算机信息系统罪,已被刑事拘留。
Showing the 12 most recent of 1,391 posts we hold for @PPchigua. 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 2 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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“皮皮吃瓜|内涵搞笑” (@PPchigua), 51,190 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/PPchigua.
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.