Telegram RegisterThe public register of Telegram

Channel

Yuan的记事本 📚✍🏻 分享 软件 新闻 Yuan's Notepad

@Yuan_En

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

6,244subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001127403935
TypeChannel
Username@Yuan_En
Created28 July 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Yuan_En

Growth

6,2436,2516,2476 August 2026 — 6,243 subscribers6 August 2026 — 6,243 subscribers6 August 2026 — 6,247 subscribers9 August 2026 — 6,251 subscribers12 August 2026 — 6,244 subscribers6,2446 August 202612 August 2026
5 measurements spanning 6 days, net +1. 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 6,242–6,252 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:156,244-7
9 Aug 2026, 19:586,251+4
6 Aug 2026, 13:346,247+4
6 Aug 2026, 03:216,243no change
6 Aug 2026, 01:536,243first reading

Engagement

13 posts held, back to 18 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.2%
avg views ÷ 6,244 subscribers
Avg views / post
1,760
13 posts measured
Reaction rate
0.196%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 6 of 13 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 12 August 2026
Posts held13 (18 July 202612 August 2026)
Views total22,919
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:23 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

Video runtime
9h 35m
Average length
1h 35m

Measured directly from 6 videos 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

25 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
936.0%
💯520.0%
🥰520.0%
😁312.0%
💩28.00%
👍14.00%

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 6 of the 13 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 18 July 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

12 Aug 2026, 01:50 UTC46 viewsread 12 August 2026
Photo

“我听交警的”事件最新进展!代理律师发文:一审判决涉事女子道歉并赔偿 2025年8月4日上午,苏州街头发生一起电动车碰撞事件,相关视频显示:“你撞了人还要揍人?”一名女子张口就是诬陷。“我揍人?我听交警的。”另一方是一名小伙子,他直接这样回应。“你是怎么活到现在的?”女子试图激怒小伙子。“我听交警的,我活到现在跟你没关系?”“你撞了我,还觉得‘和我没关系’,是吧?”女子以为抓到了一个破绽,又开始狡辩起来,结果又被小伙子一句“我听交警的”怼了回去…… from baijiahao.baidu.com #交警 #肖像权 #造谣

9 Aug 2026, 03:08 UTC377 viewsread 12 August 2026
Photo

#京东 Plus 账号0.01维生素C。每周末刷新! https://u.jd.com/UOEpQZ9

5 Aug 2026, 09:37 UTC766 viewsread 12 August 2026
Photo

从早上到现在空腹检查,抬头一看想了半天医院怎么还有薯条吃 🍟 网友:“我看了第二眼还是薯条,我没救了”、“我竟然把红色垃圾桶看成麦当劳打包袋了” #第一眼看错系列

2 Aug 2026, 01:38 UTC≈1,320 views7 reactionsread 12 August 2026
Photo

历史上有哪位人物的武器是镰刀? 小朋友 : 无产阶级

💯5💩2

30 Jul 2026, 10:52 UTC≈1,500 views7 reactionsread 12 August 2026
Photo

7月27日,网友在公交车上拍到前座的大爷在使用 监控 APP 云视通 软件时,屡屡遭受大量弹窗广告和关联启动APP的干扰,大爷无奈地反复点击和关闭各种广告界面,多次尝试依然未能成功打开。 视频引发网友热议 “哪个国家的事” “遥遥领先” “这是国外拍摄吗” “买苹果” “美国也这样?” #社会百态 #手机 #APP #广告

🥰5😁2

29 Jul 2026, 07:29 UTC≈1,490 views6 reactionsread 12 August 2026
Photo

在校期间 借过 京东白条 美团 等 借贷平台 钱的 可以退掉你在校期间产生的 #利息 需要准备一下你的 #学信网 毕业证上面时间之前的都可以 其他平台同理 其他平台需要强硬交涉 不然不给退 特别是一些小平台 目前京东美团这两个都下车比较快 其他平台方法也大差不差 只需要更多些交涉 重点还是在上学期间的才可以

6

26 Jul 2026, 09:53 UTC≈3,300 views0 reactionsread 12 August 2026
Video

《不周山》第一季完整版:上古神话山海史诗电影 | 1小时沉浸观影Mount Buzhou (Season 1) | AI Epic Ancient Mythology of Shan Hai Jing #看看视频 #AI合成 #星辰研究所 #不周山下 不周山上

26 Jul 2026, 09:52 UTC≈3,440 views4 reactionsread 12 August 2026
Video

《不周山下·古武篇》一个人24天手搓90分钟AI电影 一个人24天手搓90分钟AI电影 无剧本,无脚本,无分镜,直接想啥做啥自由创作,全程24天直播手搓,只用了25张人物图,10张场景原图。工具就是:言出(豆包)+法随(即梦)=(言出法随),几乎连剪辑都不用,直接上! 很多人肯定会过来黑,咦~肯定存稿,咦~吹牛的,咦… 我咦~你个大头鬼啊咦~,本天才全程直播着做的,还咦咦咦…… 好了,本篇全程致敬,从小挚爱的武侠电影和诸多偶像,我发布的所有作品,皆属于个人研究性实验作品,不作商用,也禁止商用。 #看看视频 #AI合成 #星辰研究所 #不周山下

3😁1

26 Jul 2026, 09:08 UTC≈3,150 viewsread 12 August 2026
Video

兼职天官 / 百变兼职 / 无上地府 【最强地府打工人】估值千万爆款短剧 第1集—第63集 篇章 1【无上地府・51 集完结】:陈易人间备考,兼职地府阴差。单元故事取材多起现实案件:操场埋尸案、江歌案、胰岛素杀夫案、少年埋人案、恩将仇报熟人命案;融入新冠疫情作为时代背景。 篇章 2【百变兼职・更新中】:考取人间编制,觉醒青雷神力,揭露自身前世渊源 篇章 3【兼职天官・连载】:介入天庭纷争,化解三界隐患,逐步晋升天官 17:22 操场埋尸案 1:47:47 新冠肺炎 ▎Source #看看视频 #AI合成 #橙C动漫

19 Jul 2026, 14:40 UTC≈1,680 views1 reactionsread 10 August 2026
Photo

720 妻爱你 男神节 来咯 #AI合成

👍1

Showing the 12 most recent of 13 posts we hold for @Yuan_En. 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 — 384,055 of 1,336,469entries 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 3 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Yuan的记事本 📚✍🏻 分享 软件 新闻 Yuan's Notepad” (@Yuan_En), 6,244 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Yuan_En.

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.