书名:王国维集 第4册 作者:周锡山编著 出版:北京:中国社会科学出版社 年份:2009 页数:517 SSID:12201933 ISBN:9787500467779 文件:PDF/97.23MB | ZIP/76.27MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐

Channel
藏智阁
@zslrBooks
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
9,655subscribers
+72 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002134992496 |
|---|---|
| Type | Channel |
| Username | @zslrBooks |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/zslrBooks |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 13:55 | 9,655 | +13 |
| 27 Aug 2026, 14:58 | 9,642 | +32 |
| 24 Aug 2026, 16:23 | 9,610 | -8 |
| 20 Aug 2026, 15:37 | 9,618 | +7 |
| 17 Aug 2026, 20:06 | 9,611 | -11 |
| 14 Aug 2026, 19:18 | 9,622 | +13 |
| 11 Aug 2026, 10:46 | 9,609 | +19 |
| 8 Aug 2026, 07:18 | 9,590 | +7 |
| 7 Aug 2026, 11:30 | 9,583 | no change |
| 7 Aug 2026, 11:29 | 9,583 | first reading |
Engagement
683 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 35 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.104%
- avg views ÷ 9,655 subscribers
- Avg views / post
- 10.1
- 683 posts measured
- Reaction rate
- 4.17%
- reactions ÷ views · ER floor
- Posts in window
- 683
- of 683 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 1 of 683 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 683 (7 August 2026 – 29 August 2026) |
| Views total | 6,883 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 05:41 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 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 1 of the 683 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 683 most recent posts we hold, published 7 August 2026 to 29 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
书名:解忧杂货店 作者:(日)东野圭吾著;李盈春译 出版:海口:南海出版公司 年份:2014 页数:291 SSID:13527206 ISBN:9787544270878 文件:PDF/45.51MB | ZIP/35.61MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语 第3册 课文 译文 课文讲解 练习答案 上 年份:0 页数:391 SSID:11480717 文件:PDF/3.75MB | ZIP/3.21MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语辅导大全 下 作者:胡传京,刘学涛主编 出版:哈尔滨:黑龙江科学技术出版社 年份:1991 页数:263 SSID:10505650 ISBN:7538816003 文件:ZIP/27.35MB | PDF/12.65MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语辅导大全 上 作者:刘学涛,胡传京主编 出版:哈尔滨:黑龙江科学技术出版社 年份:1991 页数:178 SSID:10505619 ISBN:7538816003 文件:PDF/7.63MB | ZIP/16.19MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语阅读手册 中 作者:郑孝通编 出版:北京/西安:世界图书出版公司 年份:1996 页数:203 SSID:14115029 ISBN:7506228688 文件:ZIP/32.16MB | PDF/36.05MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语阅读手册 下 作者:郑孝通编 出版:北京/西安:世界图书出版公司 年份:1996 页数:264 SSID:14115036 ISBN:7506228696 文件:ZIP/42.98MB | PDF/48.44MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新概念英语 新版全4册 词汇掌中宝 作者:蒋凤霞主编 出版:北京:石油工业出版社 年份:2005 页数:946 SSID:12262598 ISBN:7502149783 文件:PDF/289.95MB | ZIP/267.08MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
👍1
书名:新概念英语词汇速读速记手册 作者:钱昌勤等编著 出版:海口:海南出版社 年份:1997 页数:317 SSID:10188531 ISBN:7806174176 文件:ZIP/2.16MB | PDF/2.53MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:《新概念英语》详解 第4册 作者:陈国梁编 出版:长春:吉林教育出版社 年份:1989 页数:461 SSID:10982278 ISBN:7538307583 文件:ZIP/27.21MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新要领英语词汇详解 第3册 作者:上海前进业余进修学院 出版:上海:上海教育出版社 年份:1990 页数:297 SSID:10099495 ISBN:7532017427 文件:PDF/4.83MB | ZIP/9.84MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
书名:新要领英语词汇详解 第2册 作者:上海前进业余进修学院 出版:上海:上海教育出版社 年份:1990 页数:255 SSID:10099496 ISBN:7532016676 文件:PDF/4.04MB | ZIP/8.13MB 搜索:豆瓣 | 联盟 | 安娜 频道:点击关注 | 贡献书籍 群组:点击加入 | 异常反馈 助手:点击搜索|书籍/影视/音乐
Showing the 12 most recent of 683 posts we hold for @zslrBooks. 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 — 905,134 of 1,629,372 entries 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 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“藏智阁” (@zslrBooks), 9,655 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/zslrBooks.
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.