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Telegram profile photo for 皮炎子爱吃瓜 🍉

Channel

皮炎子爱吃瓜 🍉

@pyzicg

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

21,652subscribers

+586 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002114044189
TypeChannel
Username@pyzicg
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 October 2026
Measurements held53
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/pyzicg

Topic

Music — 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 53% 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 the other topics.

Growth

20,19822,27921,238.57 August 2026 — 21,066 subscribers8 August 2026 — 20,981 subscribers9 August 2026 — 20,898 subscribers10 August 2026 — 20,782 subscribers11 August 2026 — 20,680 subscribers12 August 2026 — 20,598 subscribers13 August 2026 — 20,520 subscribers14 August 2026 — 20,391 subscribers16 August 2026 — 20,198 subscribers17 August 2026 — 21,536 subscribers18 August 2026 — 21,451 subscribers19 August 2026 — 21,347 subscribers20 August 2026 — 21,302 subscribers21 August 2026 — 21,261 subscribers22 August 2026 — 21,191 subscribers24 August 2026 — 21,076 subscribers25 August 2026 — 21,003 subscribers26 August 2026 — 20,974 subscribers27 August 2026 — 20,940 subscribers28 August 2026 — 20,863 subscribers29 August 2026 — 20,800 subscribers30 August 2026 — 20,730 subscribers31 August 2026 — 20,703 subscribers1 September 2026 — 22,279 subscribers2 September 2026 — 22,153 subscribers3 September 2026 — 22,043 subscribers5 September 2026 — 21,831 subscribers9 September 2026 — 21,510 subscribers11 September 2026 — 21,137 subscribers13 September 2026 — 20,848 subscribers15 September 2026 — 20,649 subscribers16 September 2026 — 20,510 subscribers19 September 2026 — 20,231 subscribers26 September 2026 — 21,434 subscribers4 October 2026 — 21,067 subscribers9 October 2026 — 20,732 subscribers13 October 2026 — 21,737 subscribers14 October 2026 — 21,610 subscribers15 October 2026 — 21,564 subscribers16 October 2026 — 21,526 subscribers17 October 2026 — 21,453 subscribers18 October 2026 — 21,400 subscribers19 October 2026 — 21,348 subscribers20 October 2026 — 21,269 subscribers22 October 2026 — 21,179 subscribers23 October 2026 — 21,138 subscribers24 October 2026 — 21,093 subscribers25 October 2026 — 21,921 subscribers26 October 2026 — 21,870 subscribers26 October 2026 — 21,822 subscribers28 October 2026 — 21,769 subscribers28 October 2026 — 21,708 subscribers29 October 2026 — 21,652 subscribers21,6527 August 202629 October 2026
53 measurements spanning 83 days, net +586. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 19,886–22,591 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
29 Oct 2026, 22:2921,652-56
28 Oct 2026, 22:4021,708-61
28 Oct 2026, 00:4021,769-53
26 Oct 2026, 23:1721,822-48
26 Oct 2026, 01:4821,870-51
25 Oct 2026, 03:3621,921+828
24 Oct 2026, 01:1921,093-45
23 Oct 2026, 01:0821,138-41
22 Oct 2026, 02:3021,179-90
20 Oct 2026, 21:4121,269-79
19 Oct 2026, 17:3621,348-52
18 Oct 2026, 17:2821,400-53
17 Oct 2026, 15:4921,453-73
16 Oct 2026, 13:0621,526-38
15 Oct 2026, 14:0021,564-46
14 Oct 2026, 17:0821,610-127
13 Oct 2026, 09:4721,737+1,005
9 Oct 2026, 03:1620,732-335
4 Oct 2026, 14:5821,067-367
26 Sept 2026, 11:3821,434first reading

Engagement

573 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.40%
avg views ÷ 21,652 subscribers
Avg views / post
519
16 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
16
of 573 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 September 2026
Posts held573 (7 August 2026 – 30 September 2026)
Views total8,299
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 16:01 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
3h 38m
Average length
45s

Measured directly from 294 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

54 reactions across 46 posts, in 5 distinct kinds. The most used accounts for 64.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3564.8%
👍1425.9%
🍌35.56%
😁11.85%
🤮11.85%

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 69 of the 573 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 573 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

30 Sept 2026, 15:59 UTC4 viewsread 30 September 2026
Photo

9.29日早上(当地时间),在加州58号公路向西行驶,白车越过了中央隔离带... 📢 频道 💬 吹水

30 Sept 2026, 15:54 UTC280 viewsread 30 September 2026
Video

山东滨州,️亲身经历!吃饭呛到气管,差点窒息! 多亏餐馆老板及时海姆立克施救,捡回一条命。 那一刻的窒息感,这辈子都不想再体验第二次。 感谢陌生的善良,危难时刻挺身而出。 愿所有人都能了解海姆立克,关键时刻可以自救救人。 📢 频道 💬 吹水

30 Sept 2026, 15:47 UTC319 viewsread 30 September 2026
Photo

🍔 麦当劳被曝在用 AI 为汉堡“动态定价” 麦当劳被曝在美国及部分海外市场用 AI 动态调整菜单价格,算法按门店预估顾客支付意愿。同一城市不同门店同款商品价格可不同,加州弗雷斯诺相距约 3 公里的两家店,巨无霸分别卖 5.69 美元和 6.89 美元,相差 21%。 麦当劳回应称相关报道充满猜测且信息不实,定价工具只是建议而非强制;但多名加盟商称被施压使用,公司会追踪门店是否遵循算法建议价。 📢 频道 💬 吹水

30 Sept 2026, 15:37 UTC27 viewsread 30 September 2026
Photo

🇷🇺莫斯科,一名以煽动性政治咆哮闻名的网络喷子,被一名伪装成约会对象的女人诱骗至布托沃森林,在那里,蒙面男子在直播过程中残忍地殴打了他。 他遭受了前臂骨折和头部受伤。据报道,那名女人不久后离开了俄罗斯。 📢 频道 💬 吹水

30 Sept 2026, 15:30 UTC784 viewsread 30 September 2026
Video

只因在人群中多看了你一眼 漂亮 📢 频道 💬 吹水

30 Sept 2026, 15:25 UTC380 viewsread 30 September 2026
Video

vivo vs 小米 vs OPPO 可视角度对比,小米 18 Pro 被吊打。 📢 频道 💬 吹水

30 Sept 2026, 15:06 UTC884 viewsread 30 September 2026
Photo

Cloudflare 宣布进军公共证书颁发机构 Cloudflare 宣布计划成为公共证书颁发机构,已申请加入 Chrome、Apple、Microsoft 和 Mozilla 根证书计划,并与 GlobalSign 签署协议收购一个受广泛信任的根证书。目前尚未开始签发证书。 新 CA 将优先支持 ACME 自动签发和续期,并计划在 2027 年第一季度签发生产级默克尔树证书(MTC),以服务后量子互联网。 📢 频道 💬 吹水

30 Sept 2026, 15:00 UTC507 viewsread 30 September 2026
Photo

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30 Sept 2026, 14:52 UTC608 viewsread 30 September 2026
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北大禁赴 21 个景区开会 官媒称并非 "没钱" 北京大学印发"过紧日子"实施办法,禁止教职员工到黄山、九寨沟等 21 个风景名胜区召开会议。校方表示,参加学术会议、野外科研考察或在景区外开会不受影响。 《人民日报》公众号"人民锐评"刊文回应称,把过紧日子理解成"没钱了"是把账算窄了,近年来多所高校预算保持增长。北京林业大学等高校也出台类似规定,多地高校探索零基预算改革。 📢 频道 💬 吹水

30 Sept 2026, 14:44 UTC821 viewsread 30 September 2026
Video

法国总统马克龙: 中国正在冲击我们的工业基础——部分原因是中国在疫情后实现了创新,也因为中国对企业的补贴达到经合组织平均水平的八倍。 这是不可接受的。我们没有遵守游戏规则,也没有保护好自己的企业。 我们欧洲人过去太天真了。我们曾说:“我们向所有人开放,因为我们希望与其他国家开展贸易。 但实际上,我们与其他国家的贸易反而少得多。 📢 频道 💬 吹水

30 Sept 2026, 14:39 UTC520 viewsread 30 September 2026
Video

特朗普谈朝鲜: 金正恩是我的朋友,他喜欢特朗普,我也喜欢他。 金正恩拥有强大的核能力。你知道为什么吗?因为他们之前的总统没有像我那样行事。 📢 频道 💬 吹水

Showing the 12 most recent of 573 posts we hold for @pyzicg. 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

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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“皮炎子爱吃瓜 🍉” (@pyzicg), 21,652 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/pyzicg.

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.