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Telegram profile photo for 璃猫的频道

Channel

璃猫的频道

@laoliu789113

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

4subscribers

+0 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-1003329851666
TypeChannel
Username@laoliu789113
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/laoliu789113

Growth

47 August 2026 — 4 subscribers13 August 2026 — 4 subscribers7 August 202613 August 2026
2 measurements spanning 6 days. 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 3–5 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:334no change
7 Aug 2026, 18:404first reading

Engagement

19 posts held, back to 16 May 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.

ERR · 30 days
187.5%
avg views ÷ 4 subscribers
Avg views / post
7.5
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held19 (16 May 20267 August 2026)
Views total30
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:33 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
25
Videos
6
Links
72

Lifetime counters from Telegram’s own channel header, read 13 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.

Recent posts

18 Jul 2026, 09:19 UTC15 viewsread 13 August 2026
Forwarded from @baipiaouPhoto

抖音批量下载工具 支持windows、mac,单条视频、图文、合集、音乐都可以下载,也支持博主主页、喜欢、合集的批量下载,自动选择无水印、最高清的版本~ https://github.com/jiji262/douyin-downloader 📖频道 | 📥投稿 | 🌐商务 #Github #抖音 #批量下载

14 Jul 2026, 08:56 UTC17 viewsread 13 August 2026

网络辩论中,很多时候真正影响人的不是逻辑,而是情绪和认知偏差。下面这些都是比较常见的。 1. 嘲讽和优越感 比如用“懂的都懂”“醒醒吧”“还没开窍”“这都信?”之类的话。它们并没有增加证据,却会让人觉得说话的人好像更高明。 2. 从众效应 一条评论点赞几十万,很多人会下意识认为它更可信,即使没有认真看论据。点赞数反映的是受欢迎程度,不一定是真实性。 3. 情绪感染 愤怒、恐惧、悲伤、兴奋都会降低人冷静分析的能力。很多标题故意使用“震惊”“彻底完了”“惊天内幕”等词,就是为了激发情绪。 4. 标签化 不讨论观点,而是给人贴标签,比如“粉红”“公知”“五毛”“美分”“圣母”等。贴标签后,人们容易把注意力放在身份,而不是论点本身。 5. 二元对立 把复杂问题说成只有两个选择,例如“不是支持就是反对”“不站这边就是站那边”。现实中很多问题其实有很多中间立场。 6. 以偏概全 用一个案例证明整个群体。例如“我遇到一个

23 Jun 2026, 15:55 UTC20 viewsread 13 August 2026
Forwarded from @ripaojiedianFile

#SuperImagePro #画质增强 #图片变清晰 SuperImage Pro_画质增强_3.21.1 SuperImage使用尖端的AI技术来升级和恢复您喜爱的图片的细节,SuperImage 在你的设备上本地处理您的照片,而不是将其上传到云端。 第一次处理需要下载模型,后面可以离线运行。 🆕更新一下,新版本增加了老照片修复和背景去除,之前的照片,肖像图片,动漫图片增强也都有。 🚀更多分享在: @ripaojiedian

19 Jun 2026, 07:40 UTC22 viewsread 13 August 2026
Forwarded from @baipiaouPhoto

星盒,看剧看小说听音乐都有! 大佬开发的工具类app,仅安卓端,免费看剧、追漫,内置软件库,还能看热榜新闻等,部分功能需要密码,密码是996998,很好用~ https://pan.quark.cn/s/ce352be180a4 📖频道 | 📥投稿 | 🌐商务 #夸克 #安卓 #影视 #听歌 #小说

19 Jun 2026, 07:32 UTC18 viewsread 13 August 2026
Forwarded from @feiyu4567File

▎西红柿小说下载器 支持将在线小说章节批量下载并保存为 TXT,方便离线阅读或导入电子书设备。 输入小说直接搜索,自动获取书名、作者、封面及全部章节 输出格式:纯文本(TXT) 简单、就一个功能,就是下载 下载速度超快! #下载 #阅读 #书籍

15 Jun 2026, 12:51 UTC16 viewsread 13 August 2026
Forwarded from @baipiaouPhoto

让AI浏览各种社交媒体网站 无论是claude code,codex,还是OpenClaw都能使用,能让AI浏览搜索油管、B站、小红书、领英等,查某个产品的评价、查找领英上的岗位等,非常好用~ https://github.com/Panniantong/Agent-Reach 📖频道 | 📥投稿 | 🌐商务 #Github #AI #Agent #Skill

15 Jun 2026, 12:51 UTC18 viewsread 13 August 2026
Forwarded from @bpapkFile

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Showing the 12 most recent of 19 posts we hold for @laoliu789113. 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

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

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

“璃猫的频道” (@laoliu789113), 4 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/laoliu789113.

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.