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Channel

赛博忏悔室

@cyber_confessional

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

40,961subscribers

+1,638 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001982885527
TypeChannel
Username@cyber_confessional
Description记下过往,也记下此刻。 但请注意,能够救赎自己的,唯有自己。 投稿请使用标点符号。 投稿请使用 @Pray_2_shisuta_bot 一个赛博忏悔室,支持匿名投稿,内容需要经过初步审查。 若有疑惑,请查看置顶公告或查询 #公告 标签 为发癫而发癫请移步里区,这里也收容其他不恰当的内容 @Dian_storytelling_meeting
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/cyber_confessional

Topic

Personal blog — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

39,32240,96140,141.56 August 202611 November 2026
63 measurements spanning 97 days, net +1,638. 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 39,076–41,207 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 20:5840,961+9
9 Nov 2026, 22:3940,952+15
8 Nov 2026, 15:0240,937+1
7 Nov 2026, 10:3840,936+16
6 Nov 2026, 11:2840,920+20
5 Nov 2026, 09:2540,900+15
3 Nov 2026, 09:1640,885+17
2 Nov 2026, 06:3840,868+20
1 Nov 2026, 06:3540,848+13
31 Oct 2026, 04:3040,835+7
30 Oct 2026, 03:2840,828+17
29 Oct 2026, 04:2140,811+20
28 Oct 2026, 05:5140,791+6
27 Oct 2026, 03:3040,785+32
26 Oct 2026, 01:3840,753+40
24 Oct 2026, 23:5640,713+32
23 Oct 2026, 20:3540,681+22
22 Oct 2026, 21:0640,659+19
21 Oct 2026, 17:5840,640+23
20 Oct 2026, 15:3040,617first reading

Engagement

85 posts held, back to 8 July 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 186 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 40,961 subscribers
Avg views / post
6,180
18 posts measured
Reaction rate
0.352%
reactions ÷ views · ER floor
Posts in window
18
of 85 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 11 November 2026
Posts held85 (8 July 2026 – 11 November 2026)
Views total111,300
Reactions total392
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:59 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
44
Links
108

Lifetime counters from Telegram’s own channel header, read 11 November 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.

Reaction mix

2,984 reactions across 81 posts, in 20 distinct kinds. The most used accounts for 22.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤68022.8%
🖕42114.1%
🤣41513.9%
😭33911.4%
🤯2839.48%
👍2759.22%
👎1555.19%
🗿1404.69%
😨923.08%
🕊632.11%
🤬260.871%
🤨240.804%
🐳190.637%
😡160.536%
💔150.503%
🌚110.369%
🥰50.168%
🫡30.101%
💯10.034%
😇10.034%

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 85 of the 85 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 2,984 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 85 most recent posts we hold, published 8 July 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 18 posts held from the last 30 days (38.9%) 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).

11 Nov 2026, 05:17 UTC≈1,250 views10 reactionsread 11 November 2026

WTM看牛头人本有感: 笑嘻了,WTM之前关注的一个作者,也就是僕と彼女とご主人様の冬休み的作者的总集篇发出来了,大概是去年就出来了,简单聊聊吧,WTM的评价是 https://nhentai.net/g/543207/ 这作者写不下去了,剧情整个烂尾了,纯初的呢虎头蛇尾,之前在kemono上还看到这个漫画有可能要出4,结果等了好长时间放出来个总集篇+后日谈,各位去看的话就会发现,前三部剧情和后日谈完全就不是一个剧情质量,这也就是为什么我说的作者写不下去烂尾了,纯纯高开低走,前三部剧情从小情侣奇怪的XP入手开始讲解,到中段女主被调教师狠狠调教,再到最后第三部的时候已经完全变成了契合调教师身体的母狗,这个转变描写的其实非常棒,不考虑剧情的实际可能性,完美转变了一个未成年人从青涩到初尝肉欲再到堕落的过程;另一方面也充分体现了“大人”或者说“成年人”这个角色在当今社会的恋爱体系中的压倒性力量,可以说i的是作者能创作出前三部的剧情,生活…

😡9👍1

Signed 时雨 羽衣

11 Nov 2026, 01:40 UTC≈1,480 views5 reactionsread 11 November 2026

可能会被骂,(写的时候突然想到的我用())(人物,背景)主角只有3个人,我他(a)她(b),起因是某平台上有一个活动,内容大体为拉人数高低,最后分钱,可以组队,我在最开始的队因为有人摆烂然后我就加入了他的队,这是一个我在一个平台上搜到的然后加的,属于野排?他(a)是队长,他一共拉了4个然后我们5个组队,我只能联系队长也就是他,然后他可以联系我们4个,然后她(b)也是一样的,是我这个队pk的队伍。(第一次事件)最开始因为他一直拉人很多,对队伍贡献很大,我对他是很信任的(因为通天代)虽然惨输过几把,之后在一场比赛中通过对面的告知,知道了比赛可以平局,然后加上好友,进行了平局(这个pvp拉人越多排名更高,所以要达成平局需要达到相同的人数,然后不拉人保持到结束,我只能联系队长,通过队长告诉所有人,所以达成平局的方式只有诚信)(这个平局是对面挂了微信号,然后队长让我加他们好友进行协商,某种赛博外交,因为我信任队长所以我同意了),之后成功平…

❤3🗿2

Signed シスター

9 Nov 2026, 06:42 UTC≈2,940 views8 reactionsread 11 November 2026

最开始,我真的非常非常喜欢这个角色。当然,现在也依然喜欢,只是这份喜欢似乎已经没有最初那么坚定了。 好几年前,我因为一个关于角色的烂梗入坑了某个小众 IP。不过,在游玩的过程中,我的推逐渐从最初让我入坑的角色,转移到了 IP 内另一位人气更高的角色身上,然后就一发不可收拾地开始了单推。 因为自己本身就是摄影,所以当时就想着:「我一定要拍完这个角色的全部衣装!」 尽管最开始的一段时间,受限于自己的技术水平和经济条件,既没办法拍出理想的作品,也没办法负担太多定制服装和付费模特的开销。 直到去年,我已经陆陆续续攒下了十几二十套这个角色的 COS 服,也认识了一位同样单推这个角色的模特。我们一拍即合,在白棚里合作拍摄了好多套衣服。 不过,当时自己的技术水平还是太差了,最终一套都没能真正出图。(我是傻呗,我认罚。) 再后来,大概是今年春天,因为一些人际关系上的变故,我们之间的关系发生了很大的变化,现在基本已经不再往来了。那段时…

❤4👎2🤣2

Signed シスター

9 Nov 2026, 06:42 UTC≈2,800 views1 reactionsread 11 November 2026

我是女生今年19周岁,这个不是说忏悔的事情,就是我的家庭,我实在是心里憋的难受,没人说,所以在这上面简单抱怨一下。 我的家庭经济很不好,今年我家人工作的时候开车出了意外,撞了个人,那个人最后没抢救过来去世了,因为这个事情还没处理完,他也不能外出工作,只能在老家,我在外地工作,工资不是很高,而且每次发了工资,都会给家里补贴家用吧,因为家里有小孩,什么吃喝学费什么都没钱,所以我只要发了工资都会给家里,之前同事之间聊天,他们都问我存了多少钱了,我说没有存,他们就说我一个小姑娘又没成家,怎么会存不下钱,其实我听了心里也挺不是滋味的,我也想存钱,但是我没办法,而且我同事他们也说,我要存钱,钱不要全部给家里,要留给自己,其实我也想,有时候家里不主动给我要钱,我自己会给他们,因为我知道他们没有 所以我给 不过我妈妈有时候不会收,或者给我退过来一半。而且在前两年的时候 我和同学就是在这个软件找了那种刷单工作,做了一个半月,被警察抓了,说是帮信…

❤1

Signed シスター

8 Nov 2026, 16:43 UTC≈3,080 views1 reactionsread 11 November 2026

我真的有点累了,我的痛苦超出了我的范围,我最近烦躁越来越多了,甚至还有点累,上课忽然想起很多事,突然想哭的感觉,可我控制不住,每次都是我流泪,最后还是自己安静了下来。可我本身就不爱说话,每一次情绪快要发泄的时候。我总是装出没什么事一样,而且我又不喜欢热闹,和班里的同学关系又不好。 周围喧闹的人群对我来说是一种负担,大家成群结伴说笑打闹的时候,我习惯一个人待在角落。我很难融入他们的话题,也不想勉强自己去迎合别人。班里同学之间的嬉笑,在我眼里隔着一层很远的距离。我没有可以随时倾诉的伙伴,心里积攒的委屈,找不到出口。每当心里难受、情绪快要绷不住的那一刻,我第一反应就是伪装。嘴角尽量放平,表情尽量平淡,不让任何人看出我内心翻涌的难过。就算心底快要崩塌,表面依旧维持着平静,轻轻摇摇头告诉别人没事。我不擅长倾诉,也不知道该怎么开口讲清楚心里一团乱麻的感受,索性就把所有情绪全部往心底压。我不喜欢热闹,人群的喧哗只会让我更加疲惫不安,看着同学们…

❤1

8 Nov 2026, 16:40 UTC≈3,120 views8 reactionsread 11 November 2026

初二时 我遇到了一个男孩。 他初三 刚开始扩列加上了微信 后来在校田径队认识了 刚开始并没有什么感觉 后来 不知怎么慢慢就对他产生了好感 每天翻看他朋友圈 满操场找他 看到了也不敢上前 只是远远的看着 身边的朋友都看得出来 我的目光永远会优先落在他身上。 确定喜欢上他之后 我总习惯把自己放低 他性格很好 体育也很好 初三就是国家二级运动员 身边的女生也很多 站在人群里自带着光 而我很沉默 总觉得平平无奇的自己配不上耀眼的他 那段时间我的喜怒哀乐全部被他牵动 我就像一个提线木偶在他手上 一天晚上我忍不住给他发了一条信息 我们便开始聊了起来 后来变成慢慢报备 当时聊的特别开心 他看出来我喜欢他了 在朋友的助攻下 春游那天和我表白了 我们在一起了 在一起之后我们真的好幸福好幸福 身边人都羡慕我们 他对我也特别特别好 当时他没什么钱 去比赛靠自己赚钱 赚的钱全拿来给我买礼物了 每天一出教学楼就能看到他向我跑来的身影 那天体育课我心情不…

😭5👎2❤1

Signed シスター

8 Nov 2026, 16:25 UTC≈3,030 views0 reactionsread 11 November 2026

各位老哥们好,本人不是忏悔,近期有一桩心事,想请各位老哥判断我的选择是否正确。 本人01年出生,单亲家庭,跟随母亲长大,除青春期时与母亲偶有拌嘴外与母亲关系很好,母亲为退伍军人,退役后从商,如今家中无任何生意。本人能自给自足,母亲已有养老积蓄。 大学前一直在老家读书,因严重偏科,数学考了138分,但高考总分只有四百出头,所以上了大专。 专业是目前比较冷门的,耳内科相关的。在校成绩一直不错。毕业后比较幸运就职在行业内知名度较高的一位专家的公司工作。 在入职后好像突然开窍,对学习能提起兴趣,会主动找资料、书籍学习。期间也能够担任培训讲师及在大学专业作为特聘老师授课。 目前在行业内已工作五年,但学历一直是自己一个心结,总想考一个我这个专业的研究生,但又放不下工作。 年中时,领导与我沟通有一个与Qs前100的院校的合作项目,可以沟通一下让我过去,我表示很愿意,便着手考雅思。 备考了两个多月,从高考60分的底子学到了5.5,…

Signed シスター

5 Nov 2026, 01:58 UTC≈6,460 views14 reactionsread 11 November 2026

前情提要: 女主:李某某; 男主:庞某某。 分手理由:因本人告知女主要去考高职高考大专学历,没有和女主有效的沟通和商量,是以“通知”的形式告知女主,所以要出轨。(因读书需要以全日制形式在校2-2.5年,女主称“说好要一起赚钱有更好的将来,而本人没有选择和女主一起努力生活去赚钱,且这样会白白浪费女主多少个三年”,故而心生恨意,在恋爱期间出轨被本人发现) 简要复述:本人已与女主恋爱3年7个月,只因上述理由,被断崖式出轨分手,出轨半个月之多(目前搜集出来的聊天记录证据最远追索至2026.10.9),于本人在2026.10.25日晚上在女主备用机发现,女主当日晚上声称回自己妈妈家里,故当日只有本人在家无意中将女主备用机电量充满后,打开抖音发现证据(注:女主本人有主机和备用机,主机在女主手上聊天记录均已清空,故本人每次检查女主主机时都一无所获,而备用机在家中杂物堆放置),本人突发奇想查看备用机原因有几: 1,本人于2026.10.9从家…

❤9🤬3👍2

4 Nov 2026, 11:59 UTC≈5,880 views29 reactionsread 11 November 2026

说一下我自己吧,我 22 年找了个工作,最开始只是普通员工,后面因为机缘巧合陪老板出了几趟差,他就让我当了他司机,中间出了档子事,当时这件事我可以合理昧下他三十万,最后我没有(主要当时太小,压根没动过这种心思)之后我们关系就特别好,随后又发生了一些事,让老板觉得我极其靠谱又真诚,老板呢年龄也不大,算是当地有名的富二代,那几年关系好到什么程度,他去 KTV 点果盘会给我点,他住总统套房我也住,去马尔代夫旅游找伴游会给我也找,他的所有豪车我只要我说就可以随便开出去耍,包括我老婆都是他撮合成的,总之那几年钱跟女人他都给我安排了,去应酬或者朋友聚餐从不说我是司机都说我是他兄弟,后面我工作出了个纰漏让他损失了近百万,他也就象征性的罚了我一个月工资,那几年我变相得也算是蹭到了富二代的生活,就是因为这些我也真心拿他当大哥,从没贪过他一分钱,他的事在我这是最高优先级,事情的转折点是 24 年,他染上了赌博,赌到什么程度,醒了手机上赌,晚上去场子…

😨16❤9😡4

Signed シスター

4 Nov 2026, 03:47 UTC≈5,260 views33 reactionsread 11 November 2026

感觉自己太懦弱自卑了,从初中开始暗恋了六年的初恋被别人表白了。 我和她关系很好,感觉就差临门一脚了,但我有些自卑一直不敢表白(她是班花,而且成绩也特别好)。现在我们在不同城市上大学,也一直保持联系,关系不错。然后两个月前她和我说她有男友了,还是我们共同的高中同学(那哥们说实话外形和成绩都一般,也不是说性格很好。而且特别喜欢装逼,纯嘉豪,真不知道凭什么!!)。 而且上个星期听说她搬出去和他一起住了。真的道心破碎了,现在感觉像失恋了一样,干啥都提不起精神,更难受的是我还没有失恋的资格。下星期她生日,叫我去聚餐,说她男友也在。我也许只能继续当一个合格的朋友,真怕去聚餐时当场崩溃了……

🤣27❤6

Signed シスター

29 Oct 2026, 11:00 UTC≈8,460 views0 reactionsread 11 November 2026

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Signed 冬の素雪

29 Oct 2026, 06:52 UTC≈8,340 views47 reactionsread 11 November 2026

小学时,我遇到了一个人。 我很早就察觉到我喜欢她,没有仓促的告白,因为那时不知道什么叫喜欢,平时的一举一动,根本藏不住。我会下意识留意她的喜好,会把她的情绪放在前面,心甘情愿的迁就她的习惯,接受她的脾气,哪怕没有说出来,身边的朋友都看得出来,我的目光永远会优先落在她身上。 喜欢上她之后,我好像习惯把自己放的很低,她性格开朗,站在人群里自带光,而我很沉默,总觉得自己平平无奇,配不上她的那份耀眼。那段时间我的喜怒哀乐全都被她牵动,她开心我便开心,她难过我也会难过,我就像一个提线木偶线在她的手上。 初中时我们没有分在同一个班里,后来我们加上QQ,一直在QQ里面聊,他会跟我吐槽她的老师,吐槽她在学校的一天,我也会逗她开心,那时一到放假,晚上我们天天在一起玩蛋仔,我们当时聊的非常开心很快乐, 在学校组织的一次拔河比赛中,我们班刚赢了二班,我就看到她被她们班的一个女同学扶着哭着走了,晚上我就回去问她怎么哭了?她在QQ里跟我痛哭说她那个老师…

😭32❤6👍3🤨3🥰3

Signed シスター

Showing the 12 most recent of 85 posts we hold for @cyber_confessional. 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.

Posts edited after publishing

@cyber_confessional edited 6 posts 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
24 August 2026
Most recent edit
9 November 2026

Forward network

Republished by

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

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 20 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

在花🎗️科技圈
@zaihuapd · 289,994
#1
风向旗参考快讯
@xhqcankao · 200,273
#2
每日消费电子观察
@CE_Observe · 77,679
#3
简中互联网废物大赏
@fucku_idiot · 41,768
#4
竹新社
@tnews365 · 167,192
#5
LoopDNS资讯播报
@DNSPODT · 73,288
#6
rvalue的生草日常
@rvalue_daily · 8,802
#7
Solidot
@solidot · 48,811
#8
青鸟的频道
@bluebird_channel · 7,950
#9
Yummy 😋
@GodlyNews1 · 71,143
#10
心灵魔法站
@personal_hub · 11,582
#11
Foolish TraceWind
@FoolishTraceWind · 16,723
#12
今天abc看了啥🤔
@abcthoughts · 7,136
#13
Soha 的日常
@sohadays · 4,825
#14
新·世界观察日志
@NewWorldObservationLog · 7,062
#15
2.5次元日常 🍉
@acgdaily · 17,329
#16
层叠 - The Cascading
@outvivid · 9,324
#17
鹤望兰
@bpsheel · 1,900
#18
橘橘橘子汁 & 🍊
@microblock_pub · 16,066
#19
拳殖猎人🐺
@colonized_people · 2,180
#20
less♾️
@huigeLife · 604
#21
瞎玩菌 #SFW
@blindgamer · 10,785
#22
煎蛋无聊图
@jandan_pic · 25,561
#23
Karen医生の日常
@KarenMoeMoe · 9,355
#24
灵车漂移
@Hearse_Drifting · 10,883
#25
每日无数猫
@miaowu · 19,930
#26
Newlearnerの自留地
@NewlearnerChannel · 68,274
#27
不周的生活观察
@buzhouxiansheng · 6,808
#28
平壤卫视
@pingrangTV · 29,366
#29
企业级欢乐花园
@MaterialDesign3 · 9,208
#30
蓝点网订阅频道
@landiansub · 47,142
#31
〄FW
@JISFW · 12,885
#32
VPS信号旗播报
@vps_xhq · 50,835
#33
Arch Linux Chinese Messages
@archlinuxcn · 11,274
#34
💈就在这理发店ⁿˢᶠʷ💈
@daidaidaily233 · 9,440
#35

Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

秘密小频道(树洞)
@chxpd · 157,324
Telegram ranks this channel #3 of 51 here — alongside 50 others — read 17 August 2026
私密树洞
@wv112 · 114,377
Telegram ranks this channel #5 of 9 here — alongside 8 others — read 17 August 2026

This channel appears in 2 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“赛博忏悔室” (@cyber_confessional), 40,961 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/cyber_confessional.

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.