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Channel

gledos Lia green 的微型博客

@gledos_microblogging

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,631subscribers

+62 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-1001298979108
TypeChannel
Username@gledos_microblogging
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/gledos_microblogging

Topic

Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

6,5686,6316,599.56 August 2026 — 6,569 subscribers6 August 2026 — 6,569 subscribers7 August 2026 — 6,568 subscribers10 August 2026 — 6,583 subscribers13 August 2026 — 6,582 subscribers16 August 2026 — 6,578 subscribers19 August 2026 — 6,592 subscribers22 August 2026 — 6,601 subscribers25 August 2026 — 6,602 subscribers28 August 2026 — 6,608 subscribers1 September 2026 — 6,605 subscribers4 September 2026 — 6,617 subscribers9 September 2026 — 6,621 subscribers13 September 2026 — 6,620 subscribers16 September 2026 — 6,631 subscribers6 August 202616 September 2026
15 measurements spanning 41 days, net +62. 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 6,559–6,640 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 19:556,631+11
13 Sept 2026, 00:216,620-1
9 Sept 2026, 03:186,621+4
4 Sept 2026, 05:596,617+12
1 Sept 2026, 00:566,605-3
28 Aug 2026, 19:266,608+6
25 Aug 2026, 13:276,602+1
22 Aug 2026, 11:366,601+9
19 Aug 2026, 10:386,592+14
16 Aug 2026, 14:346,578-4
13 Aug 2026, 06:256,582-1
10 Aug 2026, 16:526,583+15
7 Aug 2026, 11:306,568-1
6 Aug 2026, 20:156,569no change
6 Aug 2026, 20:056,569first reading

Engagement

25 posts held, back to 28 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 10 pages of 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 25 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

471 reactions across 24 posts, in 20 distinct kinds. The most used accounts for 41.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19741.8%
🤔7816.6%
👀5010.6%
👍367.64%
🆒224.67%
😁163.40%
🥰142.97%
🤡122.55%
🤨122.55%
🔥71.49%
🌚51.06%
😢40.849%
🤬40.849%
🐳30.637%
🤣30.637%
👎20.425%
💔20.425%
🙏20.425%
💅10.212%
🥱10.212%

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 24 of the 25 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 471 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 28 May 2026 to 19 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.

Telegram Stars

Stars received
10
across the posts below
Posts paid on
10
of 25 we hold a reading for · 40%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gledos_microblogging. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 25 most recent posts we hold for this entry, published 28 May 2026 to 19 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

19 Aug 2026, 05:41 UTC659 views12 reactionsread 20 August 2026

赛博撞人族、grey rock 与 doorslam 撞人族 是日本的一种在公共场所,以撞击别人为乐的群体的称呼。撞人族可能是因为迁怒行为、厌女 Incel 文化、扭曲的正义感(教训走路玩手机的人)和被害妄想等,所以选择对他人攻击。 由于撞人本身并不属于非常严重的罪行,所以警方通常不会以最大警戒度,去寻找逃离现场的烦人。目前被逮捕的犯人,都是在路上多次撞击行人,并被手机或监控拍摄的过于恶劣的人。但可能是刑罚较低,有人甚至 三次 被逮捕,惩罚似乎未能制止撞人族的犯罪。 赛博撞人族,即在网络上对别人暴力,但这可能没有到「网络暴力」的程度,而是某种像是在现实中撞倒别人一样,让别人像是被撞倒在地一样难受。 赛博撞人族的动力,可能是因为他们能从伤害、贬低他人中,汲取能量,存在 NPD 可能。比较好的方法就是不给赛博撞人族反馈,这种应对方式在 2012 年,被被心理健康博主 Skylar 命名为 grey rock method(灰

10💔2

13 Aug 2026, 12:08 UTC≈1,230 views20 reactionsread 20 August 2026

涌现式的游戏 涌现式的游戏其实挺常见的,例如「暗黑破坏神系列」「Dota-like」和《以撒的结合》这样的,具有丰富技能游戏,都具有丰富的角色构筑、效果叠加玩法,许多装备、技能、道具和饰品,都能与其它的发生化学反应。 比如在《以撒的结合:忏悔》里的「染血硬币」饰品,功能为收集金币时,有 25 % 的概率掉了半颗红心。而配上 献血机 这样的以血换钱的机制,以及其它加成,比如多个「被吞下的硬币」(能在受伤时生成一个随机的硬币),那么就可能达成永动机的效果,获得大量金钱。 不过,上述的游戏虽然有涌现式的道具搭配,却没有涌现式的交互。提起涌现式交互的游戏,果然还是会谈到《塞尔达传说旷野之息》,这是最明显,也是最成功的涌现式交互游戏之一。 在许多游戏里,玩家总是做不了理应能做的事情。比如玩家手雷的总是炸不开障碍物,无处不在的空气墙在限制玩家的位置。但《塞尔达传说旷野之息》通过「化学引擎」来处理各种物体、属性之间的交互。 但《塞尔

13🐳3😁2👍1🥰1

13 Aug 2026, 12:08 UTC≈1,060 views4 reactionsread 20 August 2026

时间盲症 心盲,即无法在脑海种想象图像。立体盲,两眼视力差距过大,以及斜视,都有可能造成难以感知深度的立体盲。以及无法辨识他人面部的 脸盲,闻不到气味的嗅盲,看不出物体运动速度和方向的 运动盲。 缺少多数人都能感知世界的感官,通常就算是〇〇盲。不过有的东西盲症太难对比,所以发现得很晚。比如 色觉辨认障碍(色盲)在 1794 年才被正式的研究,过去的人几乎不知道有这种症状。而时间盲症也是这种情况。 人们对时间的感知其实也是一种能力,规划一天的时间,按时完成任务,都基于人们对时间的感知。而经常迟到、错过截止日期、持续拖延以及容易误判完成任务所需的时间,常有这样的情况,就可能是 时间盲症。 而时间盲症的特性,是 ADHD 的诊断标准之一(ASD、焦虑症、抑郁症也可能有时间盲症)。具体原理可能是 ADHD 患者在时间估计方面,表现出比普通人更大且更不稳定的偏差(持续时间知觉 较差),记不住在未来特定时间执行预定动作(时间监控 较

👍21👀1

13 Aug 2026, 03:58 UTC≈1,080 viewsread 20 August 2026
Forwarded from @EFW_inno

还请被确诊或者自我确诊ADHD的各位帮帮忙。

13 Aug 2026, 03:58 UTC946 views5 reactionsread 20 August 2026
Forwarded from @im_RORIRI

https://forms.cloud.microsoft/r/Vf566pfNiY 我正在写一篇关于 ADHD 用药体验的文章,希望对各位 ADHD 患者的日常生活体验有更多了解,并希望将这种体验转化成对社会大众更好的理解,进而促进社会沟通。 为了打成这个目的,需要各位的帮助,感谢!

👍41

4 Aug 2026, 23:29 UTC≈1,860 views11 reactionsread 20 August 2026

色觉辨认障友好医院 色觉辨认障碍 具体有色弱、色盲。具有色觉辨认障碍的人们,可能不适合一些对颜色要求高的行为,比如当印刷厂的一些工作可能就不太适合。 近年人们对弱势群体的关注上升,所以色觉辨认障也迎来了无障碍设计,即 色彩通用设计。这是使其辨识不单独依赖颜色的设计,比如信号灯红色是行人停止的形状,而绿灯是行人行走的动态效果。 如果信号灯总是依次排序(事实上确实是有统一标准的),又或者有形状,其实对于色觉辨认障碍而言,是能分清的。不过仍有一些地区,仍然对色觉辨认障有许多障碍,比如大陆和俄罗斯。 大陆虽然只规定了「无红绿色盲」即可,但部分做体检医院只会给看《色盲检测图》,看到色弱就不给过。以至于有人会去 背《色盲检测图》,或者寻找 色觉辨认障友好医院。 俄罗斯 在 2025 年的新规后,不再允许色觉辨认障友人士获得驾照。另外,俄罗斯在过去已经禁止给抑郁症、跨性别者颁发驾照。 而其它的常见地区,如 英国、法国、德国、澳大利

10👎1

2 Aug 2026, 23:30 UTC≈1,830 views16 reactionsread 20 August 2026

积极虚无主义 存在主义危机(existential crisis)的特征,通常是感觉生活缺乏意义,并对自身身份感到困惑。由于其可能导致焦虑和压力,甚至带来抑郁症,所以这是一个在近年常被讨论的议题。 过去宗教氛围浓郁的时期,存在主义危机没有那么普遍,因为大家都被赋予了个目标。这是一种只要遵守什么什么戒律,就能获得救赎的,与神的约定。 但过去还是有存在主义危机。当时的神职人员、知识阶层和识字者,还是会在自己的文字记录里,留下了不少怀疑,怀疑的背后都是在问「上帝为什么沉默?」「我是否已经被上帝抛弃?」「我的苦难究竟有什么意义?」等问题。 用游戏来比喻的话,宗教氛围浓郁的时期其实是有明确任务引导的氪金游戏。而现的世界秩序像是个低指引的开放世界游戏,比如《塞尔达传说:旷野之息》那样。(不过现实没有那么好玩) 前者具有既定的轨道,所以玩家能找到事情做,较少思考自己应该怎么玩。只要有时间,玩到满级通常不是问题。但低指引的开放世界游戏

👍124

25 Jul 2026, 07:38 UTC≈2,230 views12 reactionsread 20 August 2026

全局神经工作空间与 J-空间 Global Neuronal Workspace 是个有趣的意识理论,大意是大脑里许多专门系统在后台并行工作,只有少数信息可以进入一个容量有限的工作空间,然后才能被报告、控制,并广播给许多其他系统使用。而意识大概就是这个工作空间,工作空间之外则是某种潜意识。 也有实验符合 GNW 理论,实验 过程是让单词的屏幕上出现 29 毫秒,然后使用其他图形覆盖。虽然实验参与者报告没看见,但参与者的加工书面文字的核心区域,视觉词形区却被激活了。 这时给两个单词,让参与者来判断之前出现的单词是什么,结果正确率是 52.9 %,说明单词信息没有进入 GNW。有趣的是之后出现同一个词,参与者会更快作答,相关脑区的反应也会减弱,说明大脑已经在无意识中提取了部分词形信息,只是该内容暂时未被放入 GNW。 最近 Anthropic 发现 Claude 也存在类似 GNW 的空间,并将其命名为 J-空间(J-spa

🔥73🥰2

25 Jul 2026, 07:38 UTC≈1,760 views5 reactions1 Starread 20 August 2026

视频博主推荐 ⭐ 无关茉莉星(订阅者数量 2.5 万) 科普一些冷知识的博主,幽默感与节奏感挺有趣的。只是感觉许多议题本来还能继续深挖,而博主的视频已经到结尾了。 ⭐ 派数据PaiData(订阅者数量 33.6 万) 像回形针那样的可视化科普,不过更新很慢。其中关于近视手术和牙齿矫正的节目很好,基本打消了 Lia 考虑这类手术、矫正的想法。 📹 志祺七七(订阅者数量 167 万) 视角很全面的实事议题频道,因为是台湾频道,所以还能了解到台湾近期流行的议题,以及台湾文化。 ⭐ 耳畔的猫头鹰(订阅者数量 12.9 万) 聊的疾病都是外国的社会议题,但实际上都聊了。比如《有一个国家,半数人灵活就业,劳动法形同废纸》(墨西哥)、《有一个国家,彩票头奖号码能提前预测,经营者却说是巧合》(美国)等。 ⭐ 金融民工吉胖子(订阅者数量 23.9 万) 他做了许多现在为什么不能买房的视频,视频主要会用房价一直在跌的官方数据来讲

5

20 Jul 2026, 09:50 UTC≈2,110 views20 reactions1 Starread 20 August 2026

Posted without readable text

17🥰3

Showing the 12 most recent of 25 posts we hold for @gledos_microblogging. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Solidot
@solidot · 47,464
Telegram ranks this channel #16 of 59 here — alongside 58 others — read 28 August 2026
每日消费电子观察
@CE_Observe · 74,794
Telegram ranks this channel #26 of 62 here — alongside 61 others — read 19 August 2026
风向旗参考快讯
@xhqcankao · 163,238
Telegram ranks this channel #29 of 45 here — alongside 44 others — read 12 August 2026
Yummy 😋
@GodlyNews1 · 68,855
Telegram ranks this channel #30 of 55 here — alongside 54 others — read 20 August 2026
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 48,585
Telegram ranks this channel #31 of 60 here — alongside 59 others — read 26 August 2026
Newlearnerの自留地
@NewlearnerChannel · 67,412
Telegram ranks this channel #31 of 62 here — alongside 61 others — read 21 August 2026
在花🎗️科技圈
@zaihuapd · 282,472
Telegram ranks this channel #31 of 40 here — alongside 39 others — read 12 August 2026
蓝点网订阅频道
@landiansub · 44,850
Telegram ranks this channel #33 of 58 here — alongside 57 others — read 28 August 2026
竹新社
@tnews365 · 164,267
Telegram ranks this channel #33 of 59 here — alongside 58 others — read 12 August 2026
LoopDNS资讯播报
@DNSPODT · 71,856
Telegram ranks this channel #42 of 59 here — alongside 58 others — read 20 August 2026
Legado|开源阅读|频道
@Legado_Channels · 93,002
Telegram ranks this channel #53 of 61 here — alongside 60 others — read 17 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,462
Telegram ranks this channel #53 of 67 here — alongside 66 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,362
Telegram ranks this channel #54 of 61 here — alongside 60 others — read 19 August 2026

This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“gledos Lia green 的微型博客” (@gledos_microblogging), 6,631 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/gledos_microblogging.

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.