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Telegram profile photo for gledos Lia green 的微型博客

Channel

gledos Lia green 的微型博客

@gledos_microblogging

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

6,610subscribers

+41 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
Description关于一场误解的事后简报 https://t.me/gledos_science_rebirth/17241 关于踢走一位 Telegram 用户的事后简报 https://t.me/gledos_science_rebirth/17200 游戏文化浓度也许很高的微型博客,还有审查观察和浅显的科普杂谈。
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 live6 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 6 November 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 the other topics.

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 subscribers2 October 2026 — 6,615 subscribers9 October 2026 — 6,624 subscribers13 October 2026 — 6,625 subscribers16 October 2026 — 6,614 subscribers19 October 2026 — 6,611 subscribers22 October 2026 — 6,609 subscribers25 October 2026 — 6,606 subscribers28 October 2026 — 6,608 subscribers31 October 2026 — 6,611 subscribers4 November 2026 — 6,617 subscribers6 November 2026 — 6,610 subscribers6,6106 August 20266 November 2026
26 measurements spanning 92 days, net +41. 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, most recent 20 of 26
Measured (UTC)SubscribersChange
6 Nov 2026, 14:586,610-7
4 Nov 2026, 01:396,617+6
31 Oct 2026, 21:566,611+3
28 Oct 2026, 14:496,608+2
25 Oct 2026, 19:276,606-3
22 Oct 2026, 17:166,609-2
19 Oct 2026, 09:176,611-3
16 Oct 2026, 15:086,614-11
13 Oct 2026, 23:356,625+1
9 Oct 2026, 00:566,624+9
2 Oct 2026, 04:216,615-16
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, 10:386,592first reading

Engagement

41 posts held, back to 28 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.6%
avg views ÷ 6,610 subscribers
Avg views / post
1,230
12 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
12
of 41 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 6 November 2026
Posts held41 (28 May 2026 – 6 November 2026)
Views total14,728
Reactions total184
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 02:20 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
≈947
Videos
≈78
Links
≈1,670

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

703 reactions across 40 posts, in 25 distinct kinds. The most used accounts for 41.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤29141.4%
🤔7911.2%
👍588.25%
👀547.68%
😁405.69%
🆒354.98%
😱273.84%
😢182.56%
🥰152.13%
🤡121.71%
🤨121.71%
🙏111.56%
🤣111.56%
🔥70.996%
👎60.853%
😭60.853%
🌚50.711%
🤬40.569%
🐳30.427%
🖕30.427%
5 further kinds60.853%

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 40 of the 41 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 703 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 28 May 2026 to 6 November 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
110
across the posts below
Posts paid on
11
of 41 we hold a reading for · 27%
Most on one post
100
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 41 most recent posts we hold for this entry, published 28 May 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 5 of 12 posts held from the last 30 days (41.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 06:05 UTC521 views7 reactionsread 7 November 2026

Claude 的隐私问题 2026年11月5日,Claude 用户 taylor-edwards 发现 agent 在联网查资料时,把邮箱放进了 User-Agent 里。这可能与自己收到垃圾邮件变多有关,以及存在隐私风险问题。 Anthropic 员工的解释这是模型自己的行为,原理是维基百科等网站有 要求 脚本客户端在访问网站时,需要在 User-Agent 里写联系邮箱。 因为 agent 遵守了网站政策、文档,所以发送了默认被放入默认提示词里的自己的邮箱。对此,Claude 官方添加了默认启用的 隐私模组,如果发现命令含有自己的邮箱与 User-Agent 写法,就会拒绝执行。 但两个根本问题还是没能解决,分别是过于遵守网站政策、文档的高道德问题,以及默认提示词里含有自己的邮箱问题。 前者涉及的问题较复杂,短时间应该没法修复。但后者确实是个高风险问题,不知为何,Claude 竟然在默认提示词里放入了此 Claud…

😁5❤2

5 Nov 2026, 23:35 UTC619 views23 reactionsread 7 November 2026

遗言的研究 这几天在从 X 上收集自杀、讣告内容。但由于数量过多,为了防止发生重复收集、漏收集的问题,就想要给推文添加便签功能,对其分类,做笔记等。 通过 ChatGPT 发现了浏览器扩展 XMarks。它能给推文添加笔记、分类,并且开源。但是它不会把笔记、分类显示在推文里,所以 Lia 让 Codex 去改了改。 发布遗言后,自杀成功的概率大概在一半左右,但许多人会多次尝试,直到成功。所以自杀干预也是一个长期的项目,需要持续保护。 存在许多一直有发布自杀倾向推文,随后发布遗言并自杀的人。但也存在时间线里看不出什么,突然自杀,甚至不发布遗言的人。确实很难观察,也很难干预这样的自杀。 发布遗言时再开始自杀的人,可能还是有求救想法,因为被知道真实地址的朋友干预。而完成了定时发送遗言的情况,基本都没法救回来。 恋人自杀后,当事人的自杀可能性有明显提高。部分发布遗言的人,会在自杀的一个月到数日前发布援交推文,这可能表明当时的…

😢12🙏9❤1😇1

5 Nov 2026, 23:34 UTC628 views13 reactionsread 7 November 2026

识别录音的录间与位置 家用交流电的频率并非始终精确保持在 50 Hz 或 60 Hz,实际频率会因为电网的发电量与用电负载而发生微小波动。并且同一电网区域的波动相同。 而变压器、电动机产生的物理声音,以及电磁干扰 都会体现出电网的频率变化。因此,只要有各个电网的频率波动纪录,就有可能识别出录音的录制时间,还能判断是否被剪辑等。 这项技术叫作电网频率分析(ENF analysis),已被部分执法机构认为是有用的技术,德国巴伐利亚州、英国伦敦的警察都专门存档了频率变化数据。只是因为频率变化相似,所以通常需要 10 分钟以上的录音才容易匹配,除非主动让电网以特定规律进行频率变化。 但是电网覆盖的区域很大,难以识别位置,这时就需要识别录音中飞机的声音了。录音中的飞机声音含有预估速度、飞机与录音地点的最近距离,并与飞机开放数据对比,从而推测位置。 当然,需要两架飞机的声音才行,并且需要下载所有飞机的飞行数据。方法来自 colst…

🆒13

30 Oct 2026, 23:32 UTC≈1,190 views17 reactionsread 7 November 2026

近期 AI 短剧相关的辟谣 2026年6月3日,中文在线集团股份有限公司发布了《投资者关系活动记录表》,其中提到〈AI 短剧成为第一大 Token 消耗场景〉: 在国内所有 Token 消耗份额中,AI 短剧与视频生成高居首位,占比高达 55%;其次是电商与营销(如直播带货、广告营销等),占比 24%;而此前因 Vibe Coding(氛围编程)流行而被寄予厚望的软件开发领域,在 Claude 等编程能力的推进下也仅占 15%。AI 短剧与视频生成的 Token 消耗量已达到软件开发的两倍以上,成为整个 Token 经济学中绝对的第一大核心消耗场景。 2026年10月19日,豆包公关负责人刘星在新浪微博 发文,称此消息不靠谱,并在《投资者关系活动记录表》截图里,附上了辟谣时常见红色文字「不实」: 某公司发布的这个算力数据有些不靠谱,就字节来说,我们公司的总算力中,只有约 10%,用于视频生成模型的训练和推理。 2026…

😁10❤6🤣1

29 Oct 2026, 02:20 UTC≈1,250 views13 reactionsread 7 November 2026
Photo

X 现已增加明确的追踪参数,使用 X 内置的复制链接就会得到: https://x.com/Ihyvd014/status/2115497330082504960?a=?????????????????? a=? 的部分就是追踪参数。 #即时消息

😱10🖕2🥴1

25 Oct 2026, 23:31 UTC≈1,530 views21 reactionsread 7 November 2026

疼痛排名 疼痛是相对的,部分情况医生会让人来按 0 到 10 来描述自己的疼痛度,这便是口头评定量表(VRS)。因为这种量表基于病人有过多痛的经历,所以精度很差。 常见的「分娩的疼痛为 10 级」的说法,通常就是 VRS 分数。另外还有数字评分量表(NRS-11),在这个评级下,分娩时的 NRS 最大值为 8.7 分。 不过这还是缺乏对比,所以有研究者,找到世界上最痛的症状,让有该症状的人对比自己经历过的其它疼痛,这样得到了相对完整的排名。 1. 丛集性头痛发作(9.7) 2. 分娩阵痛(7.2) 3. 胰腺炎(7.0) 4. 肾结石(6.9) 5. 胆结石(6.3) 6. 枪伤(6.0) 7. 椎间盘突出(5.9) 8. 偏头痛发作(5.4) 9. 纤维肌痛(5.2) 10. 骨折(5.2) 11. 心肌梗死(5.0) 12. 腰神经根病(5.0) 13. 刺伤(4.9) 14. 带状疱疹(4.6) 15. 腰椎穿刺(…

😱17😢2❤1😁1

24 Oct 2026, 23:34 UTC≈1,350 views14 reactions100 Starsread 7 November 2026

ADHD 药物体验感受 之前提过,Lia 正在服用盐酸托莫西汀(商品名为「择思达」)。这是治疗 ADHD 的常用药物之一,只是因为不如兴奋剂类那样起效快,有效性也低一些,以及择思达的副作用通常更明显,所以属于二线药物。 先从副作用开始说吧,择思达带来心率提升的概率较大,让 Lia 的静息心率从过去的 75 左右,提升到了 100 左右。吃饭会让心率来到 120,出门散步 130,散步期间最高可以达到 156 的心率。 出汗更多也是个问题,出门后,头发就像像刚洗了澡一样湿湿的……还好有个 小风扇 可以降降温。但睡觉时也很容易出汗,夜间也容易醒来,通常会醒来两次。 以及刚开始的时候,出现了严重的食欲下降问题与口渴问题。现在有缓解,但还是存在一点食欲下降与口渴。不过择思达确实带来了一些效果: 1. 启动困难:有一定程度的缓解。 2. 时间盲症:缓解较多,能记得冰箱里还有没吃的食物,也能在早晨记得昨晚所计划的事情。 3. 刷 …

❤12👍1🤣1

21 Oct 2026, 23:31 UTC≈1,400 views6 reactionsread 7 November 2026

国家养老保险的公平性问题 美国的国家养老保险税,从 1937 年开始征收,由 1935 年的《社会保障法》确立。当时的美国是少数几个没有国家社会保障体系的工业化国家之一。因为大萧条时期暴露了社会福利的薄弱,所以也就推上了日程。 但 1937 年正是大萧条末期,假如直接免除年龄较大者,时期能直接领取,就有些不公平了。所以是靠调整算法,让 62 岁的雇员只要缴纳 3 年费用,就能领取超出原始算法 50 % 的养老金。 并且保险刚推出的时候,雇员与雇主只要分别缴纳 1 % 工资的社保税,到 1959 年才涨到分别 2.5 %。哪怕是今天,社会保障 OASDI + Medicare 医疗保险也只占雇员与雇主分别 7.65 %。 不过在大萧条时期,农民的处境可能更糟糕,但农业收入不规律、雇佣关系复杂,以及有人觉得农民拥有土地,可以靠劳作养活自己,所以 1937 年的初版《社会保障法》没有覆盖农民。 可能是直到 1955 年,自己…

😁3❤2🤣1

20 Oct 2026, 23:31 UTC≈1,310 views32 reactionsread 7 November 2026

全球化与逆全球化 过去许多人都认为全球化不可逆,因为全球化让参与者都获得了分工的利益,彼此互相依赖、相互妥协。再以经济利益推动信息共享、法律全球化等,实现共同繁荣。 朝鲜核危机前,各国都在与朝鲜和平的谈判,一方面是朝鲜背后有支持者,难以直接靠武力解决。并且主要祸害自己人,没有对别国造成严重伤害。 (不过,还是有少量伤害。比如像科幻作品《来自新世界》里的监禁与强制生育:朝鲜绑架日本人问题。以及该行为带来的 大韩航空 858 号班机空难。) 许多人都觉得,只要放弃研制核武,就能换取不被制裁与各种经济报酬,这是理应接受的事情。可这只是幻想,朝鲜并不在意制裁,因为有盟友的货船可以提供需要的资源。(但这也说明必须有盟友,才能避免全球化) 当时朝鲜十分贫困,但新闻媒体只是将责任丢给外国。哪怕 苦难行军 的饥荒时期饿死了 24 到 350 万人,当局也不需要做出什么让步,对民众的生存质量负责。 这与拥有许多自由的西方国家不同,一起…

👍21👎4😁3❤2🤔1🤣1

19 Oct 2026, 23:33 UTC≈1,260 views21 reactionsread 7 November 2026
Photo

游戏与画作 游戏是很年轻的媒介,并且需要大量的美学设计,所以通常不可避免的会将大量作品视为灵感来源。而画作是其中最容易参考的。 《寂静岭》创作者称,弗朗西斯·培根的画作是激发自己创作灵感的宝贝。如果去看培根的后期作品里,确实能看出与《寂静岭》相似的气质。 《死岛》是 Arnold Böcklin 在 1880 到 1886 年创作的多副画作。画作的中央的树木通常被认为是 地中海柏树,因为地中海柏树的形状像蜡烛,所以具有代表灵魂、来世的象征含义。 游戏 SIGNALIS 里多次直接出现了《死岛》,与剧情也有不少联系;《命运2:邪姬魅影》扩展包也受到此画作的 启发;《寂静岭2》重制版当然也不能错过,游戏里能看到 这幅画。除此之外,《巫师之昆特牌》的「船葬」也有致敬。 游戏 SIGNALIS 除了使用《死岛》,也出现了呢弗朗西斯科·戈雅的《农神吞噬其子》。除了在关卡里能看到外,还藏到了 SSTV 里,与《传送门》的二代彩蛋一…

❤19🖕1🥰1

10 Oct 2026, 23:34 UTC≈1,730 views8 reactionsread 7 November 2026

偏头痛 偏头痛是影响全球 14 % 人口的神经系统疾病,在衡量总体疾病负担的指标伤残调整寿命年(DALY)里,是仅次于 中风和新生儿脑病的神经系统疾病,再往后是神经退行性疾病(如阿尔茨海默病等)。 DALY 代表因早死而损失的健康生命年,以及因残疾/疾病而丧失健康生活的年数之和。常被用来衡量疾病的凶险程度,也许能以此调配资源,来攻略高价值的疾病。 之所以偏头痛如此可怕,是因为偏头痛常常反复发作,发作期间多为单侧的搏动性头痛。成人疼痛通常持续 4 到 72 小时,期间常伴有恶心、呕吐、畏光、畏声、畏味、疲劳和易怒,疼痛期间与恢复期可能无法正常工作,或达到正常工作效率。 根据 2009 年的统计,欧盟地区的偏头痛每年造成的损失,高达 500 亿欧元,其中包含医疗成本与误工成本。保守估计,偏头痛给英国造成的经济负担,每年有 34.2 亿英镑。 偏头痛的减轻疼痛药物:曲坦类药物,效果很显著,可以减轻 70 % 到 80 % 的…

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8 Oct 2026, 23:33 UTC≈1,940 views9 reactionsread 7 November 2026

RJ45 网线的水晶头插头和接口名字叫 RJ45,这大概是一个糟糕的名字。因为其含义大概是注册的电话网络接口配置 45 号,它同时规定了这是 8 触点位置与 8 个金属触点的模块化插座(8P8C)、针脚分配等。 具体来说,RJ45 源自 AT&T 的研发部门:贝尔电话实验室。当时因为电信公司的服务与电话机存在垄断(比如 AT&T),所以 AT&T 不得不制作通用的电话线接口,允许第三方接入,也就有了一堆 RJ 开头的电话线型号。 但 RJ48C、RJ41S 等型号,其实也用的是 8P8C,只是针脚定义有区别。而部分型号末尾的字母更是缺乏含义,比如 C 表示明装,W 表示壁挂式插孔,前者是给普通座机使用的,后者则是壁挂座机。 RJ45 在过去其实叫 RJ45S,意为单路,跟 RJ45M 的多路版本区别。但二者都跟今天的 RJ45 都有差异,多了个防呆设计。所以从精确性来说,8P8C 是比 RJ45 更好的名字。 之所以被…

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Showing the 12 most recent of 41 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.

Posts edited after publishing

@gledos_microblogging edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
6 November 2026
Most recent edit
6 November 2026

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 · 48,789
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 · 77,311
Telegram ranks this channel #26 of 62 here — alongside 61 others — read 19 August 2026
风向旗参考快讯
@xhqcankao · 167,873
Telegram ranks this channel #29 of 45 here — alongside 44 others — read 12 August 2026
Yummy 😋
@GodlyNews1 · 70,950
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 · 49,084
Telegram ranks this channel #31 of 60 here — alongside 59 others — read 26 August 2026
Newlearnerの自留地
@NewlearnerChannel · 68,136
Telegram ranks this channel #31 of 62 here — alongside 61 others — read 21 August 2026
在花🎗️科技圈
@zaihuapd · 289,218
Telegram ranks this channel #31 of 40 here — alongside 39 others — read 12 August 2026
蓝点网订阅频道
@landiansub · 46,944
Telegram ranks this channel #33 of 58 here — alongside 57 others — read 28 August 2026
竹新社
@tnews365 · 167,040
Telegram ranks this channel #33 of 59 here — alongside 58 others — read 12 August 2026
LoopDNS资讯播报
@DNSPODT · 73,205
Telegram ranks this channel #42 of 59 here — alongside 58 others — read 20 August 2026
Legado|开源阅读|频道
@Legado_Channels · 93,170
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 · 89,079
Telegram ranks this channel #53 of 67 here — alongside 66 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,976
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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“gledos Lia green 的微型博客” (@gledos_microblogging), 6,610 subscribers as measured 6 November 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.