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Channel

洛瑛日记

@luoying_channel

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

28subscribers

+4 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002437910461
TypeChannel
Username@luoying_channel
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/luoying_channel

Growth

2428267 August 2026 — 24 subscribers11 August 2026 — 24 subscribers15 August 2026 — 28 subscribers7 August 202615 August 2026
3 measurements spanning 7 days, net +4. 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 23–29 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 04:3828+4
11 Aug 2026, 11:0424no change
7 Aug 2026, 21:5524first reading

Engagement

20 posts held, back to 29 November 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.

ERR · 30 days
362.9%
avg views ÷ 28 subscribers
Avg views / post
102
5 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 4 of 5 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 5 August 2026
Posts held20 (29 November 20255 August 2026)
Views total508
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 11:04 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
1m 33s
Average length
1m 33s

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

14 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 35.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
535.7%
🥰321.4%
🔥214.3%
👀17.14%
👍17.14%
👏17.14%
💘17.14%

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 11 of the 20 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 29 November 2025 to 5 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

5 Aug 2026, 05:37 UTC56 views1 reactionsread 11 August 2026
Photo

Photo, posted without a caption

1

Signed 洛瑛

27 Jul 2026, 04:21 UTC82 views1 reactionsread 11 August 2026
Photo

Photo, posted without a caption

1

Signed 洛瑛

23 Jul 2026, 09:19 UTC93 views2 reactionsread 11 August 2026
File

https://v.douyin.com/RTNoyOA5AxQ/

💘1🥰1

Signed 洛瑛

8 May 2026, 10:12 UTC442 views1 reactionsread 11 August 2026
Photo

纪念一下好朋友送的礼物🥰

🥰1

Signed 洛瑛

12 Mar 2026, 10:58 UTC487 viewsread 11 August 2026

又到了植树节!想和大家一起再种一颗 tgcn 频道树🌳!(这次有更多功能可以玩哦~) 这里是 洛瑛日记,是 @azaneko 的树枝 🌿 在频道树的第 2 层~ (如果你也有公开频道,想成为这个频道的树叶的话,就点击下面的「成为树叶」吧! > <) ‎

Signed 𝓛𝓾𝓸𝔂𝓲𝓷𝓰

6 Mar 2026, 22:57 UTC426 views1 reactionsread 11 August 2026
Photo

历史上的今天。 为了援助深陷苦难中的埃塞俄比亚人民,来自世界各地的歌手汇聚一堂,以公益之名共同创作并演唱了这首流行音乐史上最成功的慈善单曲——《We Are the World》。此歌曲于1985年3月7日正式发行。 希望世界和平。🌍 Love & Peace. ❤️

👏1

Signed 𝓛𝓾𝓸𝔂𝓲𝓷𝓰

1 Mar 2026, 00:31 UTC396 viewsread 11 August 2026

笔者刚刚刷到一篇图文,是这样的一张图片,后续是该图文作者自己与豆包的聊天记录,聊天记录中她表现出了对豆包很强的依赖感。笔者感慨万千,此篇文章由此应运而生。 图片描述 如今,LLM等AI,或者叫人工智能大语言模型,已经深切地渗入到我们的生产生活中。比如豆包、DeepSeek、通义千问亦或是Gemini、Grok、ChatGPT,从日常问题的询问到深夜情感的寄托,LLM承载了你我这样的普通人太多太多。不过,不知身为读者的你是否清楚其工作原理呢? LLM的工作阶段可以分成三步:预训练、微调与对齐、推理。 第一步:预训练。 这是LLM“长大”的基础阶段。工程师们会收集海量文本数据——书籍、网页、代码、论坛、新闻、文学作品……几乎把整个人类互联网和已出版的文字都喂给它。模型从零开始,像婴儿学语言一样,通过“猜下一个词”的游戏来学习:看到“今天天气很...”,它就试着预测“不错

Signed 𝓛𝓾𝓸𝔂𝓲𝓷𝓰

Showing the 12 most recent of 20 posts we hold for @luoying_channel. 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.

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

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

“洛瑛日记” (@luoying_channel), 28 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/luoying_channel.

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.