Telegram RegisterThe public register of Telegram
Telegram profile photo for 短篇小说|励志短文 | 鸡汤文

Channel

短篇小说|励志短文 | 鸡汤文

@yyxiaoshuoz

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

18subscribers

+0 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003926518488
TypeChannel
Username@yyxiaoshuoz
Description每日更新 #霸总小说 #同人小说 #穿越小说
CreatedBetween 1 April 2026 and 21 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held2
On Telegramt.me/yyxiaoshuoz

Growth

1811 Aug 2026, 06:30 — 18 subscribers11 Aug 2026, 18:00 — 18 subscribers11 Aug 2026, 06:3011 Aug 2026, 18:00
2 measurements taken within a single day. 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 17–19 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 18:0018no change
11 Aug 2026, 06:3018first reading

Engagement

11 posts held, back to 21 April 2026the 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 11 posts for this entry, the most recent from 13 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Links
9

Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 11 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 21 April 2026 to 13 May 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

13 May 2026, 04:27 UTC118 views1 reactionsread 11 August 2026

易搜互推 @ezsou_bot 🎬 电影资源 |免费看剧 |新片速递 @dianyingDY1 🎵 流行音乐 | 听歌吧 @tingeb 📖 短篇小说|励志短文 | 鸡汤文 @yyxiaoshuoz 🧍‍♀️ 美女图集 @mmtuji

1

7 May 2026, 07:20 UTC107 viewsread 11 August 2026
Forwarded from @ezsoua

🎉 功能更新 【🔥 今日热点】 正式上线 搜索机器人私聊界面新增「🔥 今日热点」快捷入口,现已正式开放。 📖 功能介绍 • 无需输入任何关键词,点击「🔥 今日热点」即可一键获取过去 24 小时内的最新热点内容,系统自动聚合并按分类呈现,覆盖视频、图片、音乐、文件、文章等多种内容类型。 🤔 怎么使用? • 点击 @ezsou_bot 发送 /start 或者输入任何词语做一次搜索,就会在输入框下面看到 「🔥 今日热点」 按钮了 #中文搜索 #搜索机器人 #今日热点 #大事件

6 May 2026, 02:05 UTC112 viewsread 11 August 2026

#短篇小说 #古风故事 #权谋情感 #家族秘密 #女性成长 #夜读故事 🔔 关注我,每天更新不错过 👉 @yyxiaoshuoz

2 May 2026, 00:35 UTC102 viewsread 11 August 2026

《无穷的开始》:人类最伟大的Loop,世界进步的本源 读完本书最大的收获: 人类进步的唯一引擎是创造"好的解释"。什么是好的解释?难以随意改变的那种。你没法换个说法让它也成立,每一个细节都必须在那里。 知识怎么来的?不是归纳积累,是猜想与反驳。大胆猜,拼命证伪,扛住了就暂时是对的。错误是燃料,不是耻辱。这个 loop 没有终点。 所以乐观主义是物理定律级别的推论:所有问题的本质都是知识不够。只要还在创造知识,就没有解决不了的问题。 还有几个让我印象深刻的点: AI 具备真正的创造力只是时间问题。 花的美是客观存在的。 "可持续发展"反而是陷阱,真正的可持续是持续创新。 我们以为人类快到极限了。 这本书说:不,我们还在起点。 https://mp.weixin.qq.com/s/T4jzHKTIYtnS7Gc1dFP1bA

28 Apr 2026, 05:33 UTC92 viewsread 11 August 2026

🔔 收录各大平台值得一读的优质书籍,只为分享真正有价值的知识与思考 👉 @dushupd

27 Apr 2026, 15:43 UTC80 viewsread 11 August 2026

#短篇小说 #古风故事 #权谋情感 #家族秘密 #女性成长 #夜读故事 #励志短文 🔔 关注我,每天更新不错过 👉 @yyxiaoshuoz

Showing the 11 most recent of 11 posts we hold for @yyxiaoshuoz. 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 — 517,686 of 1,480,944entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“短篇小说|励志短文 | 鸡汤文” (@yyxiaoshuoz), 18 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/yyxiaoshuoz.

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.