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Channel

浮光掠影

@inbox_all

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Cite this entry

1,245subscribers

-8 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-1001434161509
TypeChannel
Username@inbox_all
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/inbox_all

Growth

1,2451,2571,2517 August 2026 — 1,253 subscribers7 August 2026 — 1,253 subscribers8 August 2026 — 1,255 subscribers11 August 2026 — 1,257 subscribers14 August 2026 — 1,254 subscribers17 August 2026 — 1,251 subscribers23 August 2026 — 1,247 subscribers26 August 2026 — 1,246 subscribers29 August 2026 — 1,245 subscribers7 August 202629 August 2026
9 measurements spanning 21 days, net -8. 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 1,243–1,259 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 04:461,245-1
26 Aug 2026, 11:331,246-1
23 Aug 2026, 16:461,247-4
17 Aug 2026, 15:141,251-3
14 Aug 2026, 15:171,254-3
11 Aug 2026, 11:141,257+2
8 Aug 2026, 12:351,255+2
7 Aug 2026, 22:491,253no change
7 Aug 2026, 21:251,253first reading

Engagement

19 posts held, back to 7 June 2022the 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 19 posts for this entry, the most recent from 1 January 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
15m 53s
Average length
2m 39s

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

130 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5340.8%
🤔3325.4%
107.69%
😁86.15%
🤣64.62%
🥴64.62%
❤‍🔥43.08%
🤮32.31%
🥰32.31%
🥱21.54%
💊10.769%
💩10.769%

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 18 of the 19 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 130reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 7 June 2022 to 1 January 2025, 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

1 Jan 2025, 15:43 UTC≈2,870 views9 reactionsread 7 August 2026
Photo

今年,希冀幸福将是徒劳的,通过工作去建造幸福才关键。不要希冀任何事,而是要做点什么。不要等待着他人从头至尾地构建你的命运,尤其是当命运仍掌握在我们手中。 我今年不会祝您幸福,因为我知道您的身体和精神正在经历重创。但我需要您保持必要的力量和清醒,去努力维持您自己的宁静与尊严。 ——加缪1940年为《共和党人晚报》撰写的社论 #书摘 #book #新年

👍81

29 Nov 2024, 08:54 UTC≈3,220 views1 reactionsread 7 August 2026
Photo

🧰 LobeChat 开源的 AI Chat 工具,支持几乎所有 AI 大模型。 🧲 推荐 开源的、可扩展的(Function Calling)高性能聊天机器人框架。 它支持一键免费部署私人 ChatGPT/LLM 网页应用程序。 ⚙ 特点 支持 Artifacts 交互 话题管理,对话分支能力 知识库 RAG 对话 丰富的助手及插件生态 支持 ollama 本地模型 📌 项目地址:GitHub 官网:https://lobehub.com 🏷#openAI #chatGPT #chatbot #工具 #AI 📡频道:浮光掠影

1

24 Nov 2024, 08:10 UTC≈3,000 views6 reactionsread 7 August 2026

经常上网看负面信息会影响精神健康 据统计,人类平均每天上网6.5小时,且大部分时间都花在了信息搜索上。那么,网页浏览对精神健康有何影响呢?近日,伦敦大学学院的Christopher A. Kelly 和Tali Sharot通过1145人参与的四项研究对此进行了评估。两位学者发现,人们所搜索的 信息的效价会影响心理健康,后者又会反过来影响所搜寻信息的效价,最终形成一个自我强化的循环。通过量化分析,他们发现,浏览更多的负面 #信息 与较差的 #精神健康 和 #情绪 有关。通过改变浏览的网页信息和对情绪进行评测,研究人员证明,网页信息和情绪好坏之间存在双向因果关系。简而言之,一个人上网所搜寻的信息反映并塑造了他的心理状态,从而形成了一个可能使心理健康问题长久化的循环。该团队还开发出了一种干预措施,以改善情绪的方式改变了个人的网络浏览模式。 via.《nature human behaviour》 Web-browsing pa

👍51

10 Nov 2024, 15:33 UTC≈2,360 views8 reactionsread 7 August 2026

牛津教授项飙:教育系统正在生产大批陪跑、韭菜、炮灰,顶部的华丽光环全靠底层的生命力烘托 from mp.weixin.qq.com

👍4🥱2💊1💩1

28 Oct 2024, 09:37 UTC≈2,370 views9 reactionsread 7 August 2026
Photo

招聘中的“颜值惩罚” 看到一篇挺有意思的心理学论文,说的是在应聘者其他背景大体差不多的情况下,应聘者的颜值对于招聘者的决定有什么影响。作者一共做了两个实验,在其中一个里面,他们详细比较了男女招聘者对于颜值上、中、下三个候选人的排名顺序,发现:如果是男性招聘女性,或者女性招聘男性,都倾向于按照颜值排,把最好看的排第一,最不好看的排最后。如果是男性招男性,则最好看的和中间的排名差不多,最不好看的排最后;但女性招女性就比较不一样了,颜值中等的最容易被排在第一,其次是最不好看的,而最好看的则往往被排在最后面。。。。。。 Agthe, M., Spörrle, M., & Maner, J. K. (2010). Don't hate me because I'm beautiful: Anti-attractiveness bias in organizational evaluation and decision making.

😁6🤔21

15 Aug 2024, 06:50 UTC≈2,500 viewsread 7 August 2026
Video

🧰 电子书3D书架 🧲 为电子书浏览设计的动态3D书架,自动从Calibre图书库提取元数据和封面图,根据封面图像的长宽比确定书籍高度,所有书籍宽度一致,使用页数数据(如果可用)确定书籍厚度 📌 项目地址:GitHub #电子书 #Calibre

11 Aug 2024, 01:52 UTC≈2,390 views6 reactionsread 7 August 2026

补充一个随年龄增长对时间感知的图像化展示链接 有人做过一个研究,要求不同年龄段的人心算 120 秒。30 岁以下的人平均为 115 秒,50 岁以上的人只有 87 秒。这意味着感知时间减少了 24%,有一种说法是我们二十几岁时人生已过半。 #时间 #年龄

🤔5👍1

12 Jul 2024, 17:34 UTC≈2,300 views3 reactionsread 7 August 2026
Video

火柴人 VS 几何 via @alanbecker

👍3

3 Jul 2024, 01:45 UTC≈2,370 views4 reactionsread 7 August 2026
Video

猫猫果然是流体 (≧▽≦)

🥰3👍1

15 Jun 2024, 13:40 UTC≈2,270 views1 reactionsread 7 August 2026
Video

语言如何决定我们的思维和认知? #语言 的不同, 我们对真实世界的语言编码也会不同。语言会限制人的 #思维 发展,一旦我们接受了母语之后,整个大脑就被语言的结构、词汇含义表达方式进行了塑形,人的思维很难再改变。所以,当你踏上学习一门新语言的旅程时,不要忘记:语言不只是学习新的词汇,更是让自己以全新的视角去感知世界,与之交流互动。 via. one字幕组

1

24 Apr 2024, 14:37 UTC≈2,570 views5 reactionsread 7 August 2026

黄色新闻,是指通过夸张和误导,提供实质内容不足、没有重要性、与公众利益疏远的信息。在短视频的发展背景下,还延伸出了“新黄色新闻”的概念,其特点是运用煽情化表达手法,配以抓人眼球的标题和封面,制作发布要素不全、真假难辨、质量低下、公共价值缺失的信息内容。 我们只剩“黄色新闻”可看了吗?

🤔41

11 Mar 2024, 00:15 UTC≈2,890 views1 reactionsread 7 August 2026

#财新 已删除的一篇特稿,孙任泽遭 #刑讯逼供 致死,背凳子、捆绑、抹芥末、拔阴毛、PVC管子殴打、老式电话摇把子电击、生殖器吊重物、毛巾敷面浇水…… 特稿|嫌疑人孙任泽之死

1

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

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

“浮光掠影” (@inbox_all), 1,245 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/inbox_all.

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.