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Channel
付费资源分享
@quarkF
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,848subscribers
+1,307 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002278515272 |
|---|---|
| Type | Channel |
| Username | @quarkF |
| Description | ❤️限时永久会员福利价只需298元,88¥/年 会员群无二次收费持续更新中 会员群资源可转发收藏,且还有内部群专属防走失 @pay48bot 扫码拉你入群 ❤️推荐一个增强版搜索群👉 @tangxingvlog 可以搜索全网任何资源!! |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/quarkF |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 01:55 | 16,848 | +107 |
| 20 Aug 2026, 21:07 | 16,741 | +106 |
| 19 Aug 2026, 21:22 | 16,635 | +82 |
| 18 Aug 2026, 19:24 | 16,553 | +87 |
| 17 Aug 2026, 19:34 | 16,466 | +119 |
| 16 Aug 2026, 15:57 | 16,347 | +169 |
| 14 Aug 2026, 22:25 | 16,178 | +60 |
| 13 Aug 2026, 15:37 | 16,118 | +77 |
| 12 Aug 2026, 18:23 | 16,041 | +56 |
| 11 Aug 2026, 21:03 | 15,985 | +83 |
| 10 Aug 2026, 22:45 | 15,902 | +86 |
| 9 Aug 2026, 21:11 | 15,816 | +91 |
| 8 Aug 2026, 18:04 | 15,725 | +81 |
| 7 Aug 2026, 19:11 | 15,644 | +70 |
| 6 Aug 2026, 16:40 | 15,574 | +33 |
| 6 Aug 2026, 04:02 | 15,541 | first reading |
Engagement
421 posts held, back to 6 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 33 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.339%
- avg views ÷ 16,848 subscribers
- Avg views / post
- 57.1
- 421 posts measured
- Reaction rate
- 0.1%
- reactions ÷ views · ER floor
- Posts in window
- 421
- of 421 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 7 of 421 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 421 (6 August 2026 – 17 August 2026) |
| Views total | 24,042 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 10:52 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
- ≈112,000
- Links
- ≈2,710
Lifetime counters from Telegram’s own channel header, read 22 August 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.
Reaction mix
4 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 7 of the 421 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 421 most recent posts we hold, published 6 August 2026 to 17 August 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
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知识星球CY粉截流怎么做?运营者参考13141期玩法与长尾曝光思路 资源介绍: 本资源围绕知识星球CY粉截流展开,结合13141期内容,梳理面向知识星球运营者的相关玩法与长尾曝光思路。内容适合希望了解社群引流、内容触达和用户运营基础方法的读者,可用于整理推广流程、分析适用场景,并进一步形成更清晰的运营执行思路。阅读时可结合自身账号定位、内容类型与合规要求进行判断和调整。 标签:#知识星球 #CY粉截流 #社群运营 #长尾曝光 #内容推广 下载链接:https://pan.quark.cn/s/c12f6ee80b26
❤1
灏泽异谈付费文章内容整理:知识星球144篇共1116页 资源介绍: 本资源围绕灏泽异谈知识星球付费文章进行内容整理,共收录144篇、合计1116页,适合希望集中查阅相关文章资料的读者使用。内容按原始资源范围汇总,便于在学习、复盘或检索具体文章时集中查看,减少分散查找的时间。标题、篇数与页数信息均依据原始资源名标注,未额外延伸未确认的主题或结论。 标签:#灏泽异谈 #知识星球 #付费文章 #内容整理 #文章资料 下载链接:https://pan.quark.cn/s/40cebc410a3e
知乎2024年度书单:制定阅读计划的选书参考 资源介绍: 这份知乎2024年度书单适合希望了解年度选书内容、制定阅读计划,或正在寻找阅读方向的读者参考。资源围绕年度书目进行整理,可用于安排阶段性阅读、记录个人想读的书籍,也方便在选择阅读主题时获得基础参考。无论是刚开始建立阅读习惯的读者,还是想更新年度书单的人,都可以结合自身兴趣和时间进行筛选。 标签:#知乎书单 #年度阅读 #选书参考 #阅读计划 #2024书目 下载链接:https://pan.quark.cn/s/fcbd7451d83f
❤1
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渡一教育 Web 前端全阶段课程资料:面向前端自学的学习参考 资源介绍: 本资源为渡一教育 Web 前端全阶段课程资料,围绕前端开发学习提供系统化参考。内容适合计划自学 Web 前端、梳理学习方向或进行阶段性复习的学习者使用,可结合个人基础与学习目标安排阅读和实践,帮助建立对前端学习内容与进阶路径的整体认识。 标签:#渡一教育 #Web前端 #前端开发 #课程资料 #前端自学 下载链接:https://pan.quark.cn/s/fe3fe75bd412
知识星球公众号与小圈子付费内容:12月份更新区整理 资源介绍: 本资源围绕知识星球中的公众号与小圈子付费内容,整理12月份单独更新区相关信息,方便需要集中查看、查找和回顾更新内容的用户使用。内容按资源主题进行归纳,适合关注公众号付费内容、小圈子内容或需要整理阅读范围的人群,可作为查阅与定位相关内容的辅助汇总。 标签:#知识星球 #公众号内容 #小圈子 #付费内容 #更新区整理 下载链接:https://pan.quark.cn/s/d834315d1cf2
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Showing the 12 most recent of 421 posts we hold for @quarkF. 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.
Citation-graph rank
Citation-graph rank — 1,319,268 of 1,581,209entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“付费资源分享” (@quarkF), 16,848 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/quarkF.
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.