Telegram RegisterThe public register of Telegram
Telegram profile photo for ALA数据分析|高质量数据集|图书|电子书工具

Channel

ALA数据分析|高质量数据集|图书|电子书工具

@alanalysisfocus

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,329subscribers

+19 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002321173251
TypeChannel
Username@alanalysisfocus
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/alanalysisfocus

Growth

1,3101,3291,319.57 August 2026 — 1,310 subscribers7 August 2026 — 1,310 subscribers10 August 2026 — 1,311 subscribers13 August 2026 — 1,312 subscribers17 August 2026 — 1,320 subscribers20 August 2026 — 1,323 subscribers23 August 2026 — 1,324 subscribers27 August 2026 — 1,327 subscribers30 August 2026 — 1,329 subscribers7 August 202630 August 2026
9 measurements spanning 23 days, net +19. 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 1,307–1,332 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 17:221,329+2
27 Aug 2026, 07:061,327+3
23 Aug 2026, 22:541,324+1
20 Aug 2026, 00:251,323+3
17 Aug 2026, 10:461,320+8
13 Aug 2026, 13:361,312+1
10 Aug 2026, 17:511,311+1
7 Aug 2026, 22:321,310no change
7 Aug 2026, 18:491,310first reading

Engagement

8 posts held, back to 10 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 26 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

20 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 95.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1995.0%
🤣15.00%

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 8 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 10 December 2025 to 26 July 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

26 Jul 2026, 11:22 UTC300 viewsread 7 August 2026
Photo

【挪威的森林 四种不同译本】 迷失的人迷失了,相逢的人会再相逢。 有些东西永远也好不了,只能带着它过完这辈子。 林少华、亦梦、赖明珠、钟宏杰和马述祯 海量书籍 本地高速搜索使用Shadowlib v0.4.3 读秀压缩包一键解密批量转换,自动添加目录,不占用鼠标。 开放源码 支持Linux 🏷 标签 tag:#读书 🌍 语言 language:#CN 💾 格式 type:#pdf 🔗 文件在这里 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

11 Jul 2026, 11:47 UTC741 views3 reactionsread 7 August 2026
Photo

【怎样做保安】 出版于2009年,至今仍不过时。 一本21世纪的武林绝学,经济下行的今天不得不掌握的生存技能。 力压圣经,超越托尔斯泰。 《圣经》豆瓣评分 9.2 《怎样做保安》 评分高达9.5 《战争与和平》豆瓣评分 9.4 《怎样做保安》 评分高达9.5 海量书籍 本地高速搜索使用Shadowlib v0.4.3 读秀压缩包一键解密批量转换,自动添加目录,不占用鼠标。 开放源码 支持Linux 🏷 标签 tag:#读书 🌍 语言 language:#CN 💾 格式 type:#pdf 🔗 文件在这里 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

3

9 Jul 2026, 13:50 UTC638 views2 reactionsread 7 August 2026
Photo

【孙宇晨亲笔签名的电子书】 孙割的话要听,孙割的产品不要碰。 今天带大伙一起白嫖孙割。 《这世界既残酷也温柔》2017年出版。 2016年,孙宇晨在喜马拉雅上搞了个播客,里边的观点和分析在10年后回头来看都是比较深刻毒辣的。这本书算是他当时那些观点的一个总结。 内有孙宇晨亲笔签名。 海量书籍 本地高速搜索使用Shadowlib v0.4.3 读秀压缩包一键解密批量转换,自动添加目录,不占用鼠标。 开放源码 支持Linux 🏷 标签 tag:#读书 🌍 语言 language:#CN 💾 格式 type:#pdf 🔗 文件在这里 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

2

1 Jun 2026, 10:10 UTC≈1,250 views0 reactionsread 7 August 2026
Photo

【杀鹌鹑的少女】 香港作家陶杰的散文评论集,那个广为流传的段落出自这本书: 当你老了,回顾一生,就会发觉:什么时候出国读书,什么时候决定做第一份职业,何时选定对象而恋爱,什么时候结婚,其实都是命运的巨变。只是当时站在三岔路口,眼见风云千樯,你做出选择的那一天,在日记上,相当沉闷和平凡,当时还以为是生命中普通的一天。 出自其中的《当时只道是寻常》 153页。 《杀鹌鹑的少女》是其中的另一篇文章,在98页。主要描写纯真温婉和血腥残暴集中在同一个人身上的矛盾感,以及由此延伸出来的思考。 祝大家六一儿童节快乐。 海量书籍 本地高速搜索使用Shadowlib v0.4.3 读秀压缩包一键解密批量转换,自动添加目录,不占用鼠标。 开放源码 支持Linux 🏷 标签 tag:#读书 🌍 语言 language:#CN 💾 格式 type:#pdf 🔗 全书在评论区 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

13 Mar 2026, 12:16 UTC≈1,750 views2 reactionsread 7 August 2026
Photo

【100件3D高清扫描的历史文物】 https://www.metmuseum.org/art/collection/search?showOnly=has3d 🏷 标签 tag:#文物 🌍 语言 language:#EN 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

2

3 Mar 2026, 23:15 UTC≈7,100 views6 reactionsread 7 August 2026
Photo

【世界最大经典游戏资源库即将倒闭,400TB资源恐消失互联网】 !!!仅剩最后十天!!! 已经结束咧~ 世界最大经典游戏资源库myrient,将于2026年3月31日停止运营。就是本月底下线。 myrient整理并存储了约400TB的各种游戏资源,整理方式非常专业,元数据严谨详细,有标准化命名规范。还包括封面、游戏名、地区、语言、以及各类描述信息。大量独家资源只有在这个网站才能找到。据网站运营者自己说,由于硬盘和内存价格大幅上涨,现在每月6000美金的支出让其无法负担。不得不做出关站决定。 myrient的数据包含如下几类(总计约401TB): 1、No-Intro 4.5TB 卡带主机(NES, GBA, 3DS 等)及数字版平台。 2、Redump 260TB 光盘类主机一比一原始镜像,包含PS3 (36TB)、PS2 (15TB)、Wii (10TB)、PSP、Xbox 360 等光盘镜像。 3、Eggman's

6

10 Jan 2026, 22:57 UTC≈1,870 views4 reactionsread 7 August 2026
Photo

【工作中能捅多大娄子】 遇到事情不要慌,先看看别人能闯多大祸 《办公厅工作常见的160个问题与114个失误事例》 杨殿钟 编著 让你对世界是个巨大的草台班子有个更加具体的认识 在此书中你能看到: 小数点错位把300多亿元的投资写没了 请示件中领导同志一次会见活动出现了两个不同时间 把没有参加活动的领导同志写进了参加活动的领导名单内 党徽在全委会开幕前夜掉落 市委常委会议出现冷场 异性参会代表被安排在同一房间 备用电池也没有电 出车当日早上睡过了头 没有关窗的车在车场停放了一整夜 擅自关闭电脑影响了全市的机要工作 市委内网瘫痪了半天 ………… 杨殿钟在任西安市雁塔区区长、区委书记,西安市委常委、市委秘书长、市直机关工委书记期间,利用职务上的便利,为他人谋取利益,收受巨额贿赂,其行为已构成受贿违纪,并涉嫌犯罪。根据《中国共产党纪律处分条例》等有关规定,经省纪委常委会审议并报省委批准,决定给予杨殿钟开除党籍、开除公职处分;收缴违

3🤣1

10 Dec 2025, 15:02 UTC≈2,610 views3 reactionsread 7 August 2026
Photo

【台北故宫电子书】 来自台北故宫官网 一共七本,主要关于台北故宫的发展历史。 北溝傳奇──故宮文物遷臺後早期歲月 千年神遇-北宋西園雅集傳奇 故宮大事錄要 上冊 故宮大事錄要 下冊 甲子萬年:國立故宮博物院百年院慶特展 跨世紀大事錄_擴建 轉型 茁壯 跨世紀大事錄_肇始 播遷 復院 🏷 标签 tag:#读书 🌍 语言 language:#CN 💾 格式 type:#pdf 🔗 文件在评论区 💻 关注频道:@ALA数据分析 😶‍🌫️ 交流群

3

Showing the 8 most recent of 8 posts we hold for @alanalysisfocus. 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 — 525,331 of 1,627,445entries 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.

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 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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“ALA数据分析|高质量数据集|图书|电子书工具” (@alanalysisfocus), 1,329 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/alanalysisfocus.

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.