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Channel

白嫖使我快乐

@bai_piao

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

13,017subscribers

+1 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-1001582043031
TypeChannel
Username@bai_piao
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/bai_piao

Topic

Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

12,98413,01913,001.57 August 2026 — 13,016 subscribers7 August 2026 — 13,016 subscribers8 August 2026 — 13,018 subscribers9 August 2026 — 13,017 subscribers10 August 2026 — 13,019 subscribers11 August 2026 — 13,016 subscribers12 August 2026 — 13,015 subscribers13 August 2026 — 13,011 subscribers14 August 2026 — 13,003 subscribers16 August 2026 — 13,001 subscribers17 August 2026 — 12,997 subscribers18 August 2026 — 12,998 subscribers19 August 2026 — 12,994 subscribers20 August 2026 — 12,993 subscribers21 August 2026 — 12,990 subscribers23 August 2026 — 12,995 subscribers24 August 2026 — 12,994 subscribers25 August 2026 — 12,991 subscribers26 August 2026 — 12,988 subscribers27 August 2026 — 12,986 subscribers29 August 2026 — 12,985 subscribers30 August 2026 — 12,984 subscribers30 August 2026 — 12,989 subscribers31 August 2026 — 12,985 subscribers2 September 2026 — 12,986 subscribers3 September 2026 — 12,992 subscribers4 September 2026 — 12,996 subscribers7 September 2026 — 13,007 subscribers12 September 2026 — 13,005 subscribers14 September 2026 — 13,004 subscribers16 September 2026 — 13,002 subscribers18 September 2026 — 13,017 subscribers13,0177 August 202618 September 2026
32 measurements spanning 43 days, net +1. 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 12,979–13,024 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 19:1713,017+15
16 Sept 2026, 12:1713,002-2
14 Sept 2026, 15:4113,004-1
12 Sept 2026, 22:4113,005-2
7 Sept 2026, 15:3613,007+11
4 Sept 2026, 18:5812,996+4
3 Sept 2026, 07:0812,992+6
2 Sept 2026, 00:3712,986+1
31 Aug 2026, 22:0412,985-4
30 Aug 2026, 23:1712,989+5
30 Aug 2026, 02:3512,984-1
29 Aug 2026, 01:0412,985-1
27 Aug 2026, 22:0412,986-2
26 Aug 2026, 21:0212,988-3
25 Aug 2026, 18:3312,991-3
24 Aug 2026, 19:4912,994-1
23 Aug 2026, 02:4712,995+5
21 Aug 2026, 17:3712,990-3
20 Aug 2026, 16:3612,993-1
19 Aug 2026, 13:2512,994first reading

Engagement

181 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.56%
avg views ÷ 13,017 subscribers
Avg views / post
463
59 posts measured
Reaction rate
0.21%
reactions ÷ views · ER floor
Posts in window
59
of 181 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 59 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held181 (2 August 20261 September 2026)
Views total27,305
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:50 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
1m 17s
Average length
1m 17s

Measured directly from 1 video 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

28 reactions across 22 posts, in 2 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1760.7%
👍1139.3%

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 28 of the 181 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 181 most recent posts we hold, published 2 August 2026 to 1 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

1 Sept 2026, 15:04 UTC461 viewsread 2 September 2026
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1 Sept 2026, 15:04 UTC436 viewsread 2 September 2026
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IconPark 亮点字节跳动出品,免费可商用图标库! IconPark 是字节跳动旗下设计师出品的高质量开源图标库,拥有超过 2600 个基础图标,支持在线调整风格(线性、填充、双色等)、颜色和尺寸,并可以一键导出 SVG、PNG、ReactVue 组件,甚至直接复制代码。它完全免费且可商用,无需署名,适用于开发者和设计师。界面简洁,主题色可变,体验流畅,是高效的图标解决方案。 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

1 Sept 2026, 15:04 UTC378 viewsread 2 September 2026
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ImgPeel 剥图 OCR 在线图片文字识别工具,支持多图批量识别、拖拽和截图粘贴、复制全文,以及 .txt .md .docx 导出(批量时还能打包成 zip),首次使用需加载模型,共有三种不同的模型可供选择,全程在本机进行处理,图片不会上传服务器,完全免费,无次数限制,无需注册。 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

1 Sept 2026, 15:03 UTC384 viewsread 2 September 2026
Photo

Twitter Screenshot Button TwitterX 推文截图油猴脚本,在推文的“...”菜单中添加截图按钮,支持一键截取单条推文并自动复制到剪贴板,也可以手动下载图片,支持高质量图片捕获,并自动适配亮色和暗色模式,还支持截取原作者的整个推文串,会自动展开回复、筛选原作者推文并将多张截图拼接成长图,支持 和 x.com,免费开源。 说它没用吧,用起来也挺方便的,要说他有用吧,截的图跟手动截的又没什么区别。 🧘 网址: 链接01 链接02 链接03 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:40 UTC882 viewsread 2 September 2026
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My IELTS 雅思在线备考资料库,整合词汇、语法、听力、阅读和写作内容,词汇部分包含雅思核心词汇、逻辑词记忆法、原书音频和练习模式,语法提供视频、讲义和思维导图,听力包含基本概念、应试技巧及 179 个考点词,阅读提供 538 个考点词同义替换,写作则提供 100 句翻译练习,需要雅思备考的可以体验一下,免费使用,无需注册。 🧘 网址: 链接01 链接02 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:40 UTC457 viewsread 2 September 2026
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31 Aug 2026, 22:39 UTC406 viewsread 2 September 2026
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ImgIng 图映 一个用于图片转换、压缩与AI抠图的在线工具网站,主要提供本地化图片处理、格式转换、PDF与Office文档处理及动图制作功能,适合需要高效、安全进行多媒体文件处理的场景使用 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:39 UTC382 viewsread 2 September 2026
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一个 Skill 搞定视频下载 支持油管、B站、推特、TikTok、抖音、Instagram、Facebook,以及微信视频号,还有常见的视频直链,Claude Code、Codex、豆包办公等都可以用~ 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:39 UTC366 viewsread 2 September 2026
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项目omniroute 一个用于多模型智能调度与管理的网站,主要提供智能模型组合、路由策略及毫秒级降级切换功能,适合需要保障AI服务高可用与稳定性的场景使用 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:39 UTC363 viewsread 2 September 2026
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一个用于同时向多个AI平台发问题并对比答案的网站,主要提供自动发、并行对比、长截图导出及PDFMarkdown导出功能,适合多AI模型联合查询与信息比对场景使用 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:39 UTC365 viewsread 2 September 2026

亮点全网影视一网打尽,免费高清无 茶杯狐是一个聚合型影视搜索站,界面简洁,收录了各大视频网站的资源。只需搜索片名,它会自动筛选出可用的播放源,支持在线观看,清晰度多为高清,而且无需注册登录,也没有烦人的弹窗。无论是热门电影、电视剧、动漫还是综艺,都能快速找到。对于喜欢追剧的年轻人来说,绝对是省时省力的利器。 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

31 Aug 2026, 22:39 UTC391 viewsread 2 September 2026
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此刻电影日历 一个用于每天推荐一部优秀电影的网站,主要提供每日电影日历、经典台词与影视推荐功能,适合电影爱好者日常观影与寻找好片场景使用 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿

Showing the 12 most recent of 181 posts we hold for @bai_piao. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

PPbuzz | PP分享🧚
@ppbuzz_pro · 37,472
Telegram ranks this channel #15 of 20 here — alongside 19 others — read 1 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“白嫖使我快乐” (@bai_piao), 13,017 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bai_piao.

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.