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Channel
电子书/听书/期刊/课程资源
@sharebooks4you
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
129,208subscribers
+362 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001701676174 |
|---|---|
| Type | Channel |
| Username | @sharebooks4you |
| Description | 商务 @msgmenow_bot 搜书 @sharing_books4u 导航 https://t.me/sharebooks4you/7 |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/sharebooks4you |
Topic
Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 12 Aug 2026, 05:53 | 129,208 | +80 |
| 11 Aug 2026, 06:31 | 129,128 | +99 |
| 10 Aug 2026, 03:11 | 129,029 | +90 |
| 9 Aug 2026, 00:58 | 128,939 | +13 |
| 8 Aug 2026, 02:12 | 128,926 | +34 |
| 7 Aug 2026, 03:06 | 128,892 | +46 |
| 6 Aug 2026, 04:02 | 128,846 | first reading |
Engagement
51 posts held, back to 3 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.91%
- avg views ÷ 129,208 subscribers
- Avg views / post
- 2,460
- 51 posts measured
- Reaction rate
- 0.273%
- reactions ÷ views · ER floor
- Posts in window
- 51
- of 51 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 48 of 51 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 51 (3 August 2026 – 12 August 2026) |
| Views total | 125,670 |
| Reactions total | 322 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:24 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
- ≈5,300
- Videos
- ≈7
- Links
- ≈5,090
Lifetime counters from Telegram’s own channel header, read 12 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
296 reactions across 42 posts, in 4 distinct kinds. The most used accounts for 34.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 103 | 34.8% | |
| 🥰 | 77 | 26.0% | |
| 👏 | 60 | 20.3% | |
| 👍 | 56 | 18.9% |
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 48 of the 51 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 322reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 3 August 2026 to 12 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】各自沉默:约恩·福瑟戏剧三种 【作者】约恩·福瑟 【格式】#epub #mobi #azw3 #pdf 【分类】#戏剧 #文学 #诺贝尔文学奖 【简介】本书收录约恩·福瑟三部首次译介中文的剧作,语言极简而富有张力。作品描绘没有温度的爱、错位的沟通及偏执克制的纠缠,情绪在沉默下翻涌。通过疲惫时刻的语言停顿与留白,展现男女日常相处中人性与关系的复杂性,深入挖掘爱与孤独的主题。 📚下载 📣频道 🔎搜书 📮商务
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❤3
【书名】大师教我学知识:文心选编 【作者】叶圣陶 【格式】#epub #mobi #azw3 #pdf 【分类】#语文教育 #阅读写作 #文学经典 【简介】本书精选叶圣陶经典著作内容,旨在帮助读者提升语文水平。书中结合生活故事与场景,深入浅出地讲解修辞、语法、诵读及文学史等知识,将枯燥的语文理论融入生动情节,兼顾普遍性与现实意义,适合大众阅读理解。 📚下载 📣频道 🔎搜书 📮商务
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Showing the 12 most recent of 51 posts we hold for @sharebooks4you. 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 — 674,364 of 1,151,006entries 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 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“电子书/听书/期刊/课程资源” (@sharebooks4you), 129,208 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sharebooks4you.
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.