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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 · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

134,357subscribers

+5,511 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
TypeChannel
Username@sharebooks4you
Description商务 @msgmenow_bot 搜书 @sharing_books4u 导航 https://t.me/sharebooks4you/7
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.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 the other topics.

Growth

128,846134,357131,601.56 August 20267 November 2026
61 measurements spanning 93 days, net +5,511. 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 128,019–135,184 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
7 Nov 2026, 09:37134,357+89
6 Nov 2026, 09:01134,268+29
5 Nov 2026, 08:29134,239+41
4 Nov 2026, 04:59134,198+48
3 Nov 2026, 08:01134,150+34
2 Nov 2026, 08:09134,116+60
1 Nov 2026, 06:17134,056+30
31 Oct 2026, 08:09134,026+66
30 Oct 2026, 06:28133,960+55
29 Oct 2026, 07:37133,905+59
28 Oct 2026, 04:00133,846+75
27 Oct 2026, 04:28133,771+27
26 Oct 2026, 07:46133,744+129
25 Oct 2026, 05:57133,615+185
24 Oct 2026, 07:36133,430+56
23 Oct 2026, 08:45133,374+25
22 Oct 2026, 05:19133,349+39
20 Oct 2026, 21:29133,310+42
19 Oct 2026, 17:46133,268+41
18 Oct 2026, 17:41133,227first reading

Engagement

506 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 275 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.05%
avg views ÷ 134,357 subscribers
Avg views / post
4,100
159 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
159
of 506 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 147 of 159 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 8 November 2026
Posts held506 (3 August 2026 – 8 November 2026)
Views total651,229
Reactions total1,008
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 05:57 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
≈5,650
Videos
≈8
Links
≈5,530

Lifetime counters from Telegram’s own channel header, read 8 November 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.

Video runtime
2s
Average length
2s

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

3,258 reactions across 463 posts, in 18 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤97630.0%
👍90627.8%
👏67420.7%
🥰66320.3%
🔥130.399%
😁60.184%
⚡50.153%
🎉30.092%
👎30.092%
🍾10.031%
👀10.031%
👻10.031%
💔10.031%
😱10.031%
🤡10.031%
🤷‍♀10.031%
🥴10.031%
🫡10.031%

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 477 of the 506 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 3,284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 506 most recent posts we hold, published 3 August 2026 to 8 November 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.

Telegram Stars

Stars received
27
across the posts below
Posts paid on
5
of 506 we hold a reading for · 1.0%
Most on one post
22
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sharebooks4you. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 506 most recent posts we hold for this entry, published 3 August 2026 to 8 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 120 of 159 posts held from the last 30 days (75.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 04:14 UTC390 viewsread 8 November 2026

今日更新已整理,内容覆盖历史人文、技术实战与期刊观察。 🏛️ 历史与人文 从《汉武大帝》《宋徽宗》到《岁以百年》《何以为汉》,再到法文化史、域外汉籍与南怀瑾著述,电子书与听书连成一条从帝王、家族到思想文化的阅读线。 🤖 技术、AI与学习 Elasticsearch核心技术与实战更新从安装、搜索、聚合到集群运维和项目实战的完整课程;电子书聚焦AI时代父母、孩子学习力、费曼学习法与超级智体。 🌍 外刊与期刊 Barron's、Financial Times、The Economist等外刊更新,南方人物周刊与财新周刊也在列;音频侧还谈三国职场、AI与论文枪手、酒与神经系统。 学习建议: 1. 先读历史书或听《岁以百年》,再进入技术课程。 2. Elasticsearch 按安装、索引、查询、聚合与运维顺序学习。 3. 用AI与学习类电子书对照日常场景。 🗓 20261108 Summarized by DeepSeek …

8 Nov 2026, 04:08 UTC368 viewsread 8 November 2026
Photo

【书名】见海之地 【作者】贝客邦 【格式】#epub #mobi #azw3 #pdf 【分类】#文学 #小说 #悬疑 【简介】海盐籍作家贝客邦时隔四年推出的长篇小说。故事围绕一场意外展开,是嘉兴市茅盾文学奖“攀登计划”签约扶持项目。此前其作品《海葵》已成功改编为影视剧。 📚下载 📣频道 🔎搜书 📮商务

8 Nov 2026, 04:08 UTC325 viewsread 8 November 2026
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【书名】活在借来的时间中:关于后现代社会的八个对话 【作者】齐格蒙特·鲍曼,西特拉莉·罗维罗萨-马德拉索 【格式】#epub #mobi #azw3 #pdf 【分类】#社会学 #哲学 #文化研究 【简介】本书系齐格蒙特·鲍曼晚年与西特拉莉·罗维罗萨-马德拉索的八场对话。探讨后现代社会中消费主义、环境危机及技术伦理对人类生活的影响。揭示现代文明在生态与时间维度上的深度透支,呼吁重新审视消费与环境意识,以寻求系统性失衡时代的可持续出路。 📚下载 📣频道 🔎搜书 📮商务

8 Nov 2026, 04:07 UTC302 views2 reactionsread 8 November 2026
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【书名】见证生命,见证爱(解读) 【作者】路桂军 【格式】#mp3 #pdf 【分类】#听书 #医学 #哲学 【简介】本书作者结合三十年安宁疗护经验,记录临终者的真实故事,探讨死亡的多层含义、临终关怀的核心是爱与陪伴,以及通过“四道人生”完成和解。书中强调认真活过才能从容面对死亡,引导读者思考如何不留遗憾地活着。 📻音频 📣频道 🔎搜书 📮商务

❤1👏1

8 Nov 2026, 04:06 UTC288 views2 reactionsread 8 November 2026
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【刊名】证券市场周刊 【期号】2026年第37期 【格式】#epub #mobi #azw3 #pdf 【分类】#期刊 #杂志 #证券市场周刊 【简介】本期封面文章:《中金“三合一”落地一流投行征程提速》。本期收录文章:《美联储加息救不了长债》《智能眼镜下滑、苹果新机走俏消费电子投资现新思路》《iPhone Duo亮相 果链开启价值重估时刻》等。 📚下载 📣频道 🔎搜书 📮商务

👍1🥰1

8 Nov 2026, 04:05 UTC258 viewsread 8 November 2026

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8 Nov 2026, 04:05 UTC290 viewsread 8 November 2026
Video

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8 Nov 2026, 04:01 UTC348 viewsread 8 November 2026

#频道互推 #群组推荐 小声逼逼· 软件|Emby|抽奖 资源分享 - 软件|网站|工具|破解 今日有羊毛 安卓软件游戏破解资源分享 折腾搞机频道 机场订阅节点VPN分享社 🅥 趣味播报 JBCAT优质壁纸走私 电报群组&频道 电报频道索引 互推:@miaomiao333bot

7 Nov 2026, 04:00 UTC≈3,070 views5 reactionsread 8 November 2026
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❤3🍾1👍1

7 Nov 2026, 00:14 UTC≈3,240 views2 reactionsread 8 November 2026

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👍2

7 Nov 2026, 00:08 UTC≈2,900 views5 reactionsread 8 November 2026
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【书名】回收世界的人 【作者】郑在欢 【格式】#epub #mobi #azw3 #pdf 【分类】#文学 #小说 #当代 【简介】本书是青年作家郑在欢的全新中短篇小说集,包含了《连身树》《丧与乱》《杀狗》《回收世界的人》《动物痴人》等近年来创作、发表的优秀篇目。郑在欢的写作素有超出同龄人的冷酷与在场感的特点。 📚下载 📣频道 🔎搜书 📮商务

👏3❤1🥰1

7 Nov 2026, 00:07 UTC≈2,720 views3 reactionsread 8 November 2026
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【书名】好战略,坏战略(畅销版) 【作者】理查德·鲁梅尔特 【格式】#epub #mobi #azw3 #pdf 【分类】#管理学 #经济学 #商业 【简介】本书由理查德·鲁梅尔特所著,是战略管理领域的经典之作。书中系统阐述了区分好战略与坏战略的核心逻辑,指出好战略需具备明确挑战诊断、聚焦核心优势及连贯执行方案三大要素。同时强调策略应基于实际情境分析,避免空泛口号与目标混乱。 📚下载 📣频道 🔎搜书 📮商务

👍1👏1🥰1

Showing the 12 most recent of 506 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.

Posts edited after publishing

@sharebooks4you edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
24 September 2026
Most recent edit
24 September 2026

Posts recorded as deleted after publishing

We recorded 116 posts on @sharebooks4you as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
43

Mentions

Named by 19 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.

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 7 November 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), 134,357 subscribers as measured 7 November 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.