我初一到现在的高一就喜欢了一直都喜欢对我好的女生,然后之前喜欢了一个200多天的女生,她半夜跟我她妈发个消息说,我找到一个男生当男朋友了我说谁呀?她说网上的当时我内心崩溃至极,之后我觉得我很难再爱别人,我喜欢的不少女之,要不就是我自己放弃,要不就是别人逃避
🗿5
Signed シスター

Channel
@cyber_confessional
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
40,149subscribers
+826 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001982885527 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/cyber_confessional |
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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 22:17 | 40,149 | +40 |
| 18 Sept 2026, 16:40 | 40,109 | +27 |
| 16 Sept 2026, 06:40 | 40,082 | +34 |
| 14 Sept 2026, 12:21 | 40,048 | +24 |
| 12 Sept 2026, 21:00 | 40,024 | +11 |
| 10 Sept 2026, 22:39 | 40,013 | +12 |
| 7 Sept 2026, 23:16 | 40,001 | +52 |
| 4 Sept 2026, 19:21 | 39,949 | +27 |
| 3 Sept 2026, 02:54 | 39,922 | -10 |
| 2 Sept 2026, 03:54 | 39,932 | +24 |
| 1 Sept 2026, 00:24 | 39,908 | +15 |
| 30 Aug 2026, 20:53 | 39,893 | +25 |
| 29 Aug 2026, 22:16 | 39,868 | +14 |
| 28 Aug 2026, 22:34 | 39,854 | +22 |
| 27 Aug 2026, 22:59 | 39,832 | +22 |
| 26 Aug 2026, 22:16 | 39,810 | +13 |
| 26 Aug 2026, 00:18 | 39,797 | +30 |
| 25 Aug 2026, 02:27 | 39,767 | +32 |
| 23 Aug 2026, 14:07 | 39,735 | +63 |
| 22 Aug 2026, 02:15 | 39,672 | first reading |
57 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 96 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 57 (8 July 2026 – 27 September 2026) |
| Views total | 151,920 |
| Reactions total | 423 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 12:35 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.
Lifetime counters from Telegram’s own channel header, read 27 September 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.
2,029 reactions across 55 posts, in 18 distinct kinds. The most used accounts for 22.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 457 | 22.5% | |
| 🖕 | 325 | 16.0% | |
| 🤣 | 236 | 11.6% | |
| 👍 | 232 | 11.4% | |
| 🤯 | 222 | 10.9% | |
| 😭 | 172 | 8.48% | |
| 👎 | 119 | 5.86% | |
| 😨 | 67 | 3.30% | |
| 🕊 | 61 | 3.01% | |
| 🗿 | 58 | 2.86% | |
| 🤨 | 20 | 0.986% | |
| 🐳 | 15 | 0.739% | |
| 💔 | 15 | 0.739% | |
| 🤬 | 15 | 0.739% | |
| 🌚 | 10 | 0.493% | |
| 🫡 | 3 | 0.148% | |
| 😇 | 1 | 0.049% | |
| 🥰 | 1 | 0.049% |
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 56 of the 57 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 2,029 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 8 July 2026 to 27 September 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.
我初一到现在的高一就喜欢了一直都喜欢对我好的女生,然后之前喜欢了一个200多天的女生,她半夜跟我她妈发个消息说,我找到一个男生当男朋友了我说谁呀?她说网上的当时我内心崩溃至极,之后我觉得我很难再爱别人,我喜欢的不少女之,要不就是我自己放弃,要不就是别人逃避
🗿5
Signed シスター
我忏悔,我们学校国庆和中秋不连着放假,可是我想出去玩,我骗了父母国庆和中秋连着放假,我心里一直过意不去
😭41👍5❤3👎2🗿2
Signed シスター
我是一名大学生,现在身高183,体重190。高中时候长的还行,体重比较正常,也有班上女生和其他班女生跟我表白,后来疫情封闭在家,每天除了吃就是睡,成绩一落千丈,体重屡创新高,突破两百。高中开学后女友分手,我却还是一直吃,到大学开学都有240斤了。大一大二暴食基因也是一直压抑着色欲,体重一直在230左右徘徊。因为胖,本人一直有点自卑,不敢找女朋友,也觉得以自己的条件也找不到,就天天看片自己解决。就今年开始,色欲再也压制不住了,整个人很是压抑,终于开始减肥健身,已经减到190斤,但感觉还得至少再练半年才有成效。 于此同时由于天天看片,阈值拔的很高,什么题材都看,开始爱看男娘题材,甚至对特别白净,眉清目秀的男0的都有了别样的情感。前段时间了解到了男男交友软件,就抱着看看的心情下载注册了。刚注册就有男的联系我,互换照片,我竟然同意了,然后他就提出要一起玩,给我口,深喉。我感觉太刺激,以前从来没有这样玩过,高中最多和女朋友亲亲抱抱,我鬼使…
🤣56🤯21❤12👍3
Signed シスター
#互推 【音声&涩涩】永不消逝的音声 【二次元美图】公诸同好 | 二次元美图分享 🅥 【苹果限免】 App Store 限免应用 & ... 【小说分享】音文拾光 🎵 精选小说音乐 分享推荐 【心声树洞】赛博忏悔室 【机场测速】便宜机场测速 【小说分享】日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享 【资源分享】资源分享客栈-Applnn 【医学期刊】来一点医学科学前沿🤯🤯🥹🥹 Powered by @Summer_Clear_Sky_Bot
👍2❤1
Signed 冬の素雪
我从小是姥姥和姥爷带大的,爸爸对我不是很有感情,妈妈只会拿钱出去喝酒,我是和姥姥姥爷舅舅住在一起,小学5年级时,舅舅和他对象在家里打起来了,甚至都见血了,给我看的十分害怕,姥姥为了劝架还被刀划到见血了,吓的我直接下楼找邻居们求救了,详细过程记不清了,晚上一堆亲戚来,我当时还想自杀,虽然不知道是为什么 之后上初中,也没有好好学习,但是也没有做什么坏事,只是当时每天到家21点,我作业根本写不完,从那以后我就只是上课,但是不写作业了,后来也没考上市内的高中,补录进了县城的高中,去一趟要4个小时,姥姥姥爷当时就在我要上学的时候起早送我出门,当时决定高中要好好学习,考个好大学,结果也没考上,就考上了个专科,虽然是市内好评的 考上专科后,也没有好好学习,用家里买笔记本的钱玩玩游戏,有课当还是会上,但其它的事我也没有参与,大三那年,我和家里商量,我说我决定找工作上班,家里说让我考专升本,我觉得也行,我以为专升本会很简单,就没认真学,当年9月,…
❤26👍3👎2🕊2
Signed シスター
我如今已经21了,目前正在工作中,我的工作是我父亲替我找的,属于土木行业,但是我对这个行业一直不怎么抱有希望,而且这个公司的氛围给我感觉有一种陈旧的压抑感,一直想换工作,想从事我喜欢的无人机,以前跟我父亲也商量过,离开土木行业,但他并不怎么愿意,他更希望我在现在这个单位安稳的生活,我现在对我的未来有点迷茫,希望大家帮我想想
Signed シスター
求求大家帮帮我,目前,我正处于初三阶段,我们班刚刚迎来了一位新的班主任。这位班主任的管理方式极为严格,几乎到了严苛的地步。他每天都会对我们进行严厉的批评,甚至辱骂,称我们为废物,并且不时地侮辱我们的家庭。他公开在周一升国旗仪式上,当着全校师生的面,用侮辱性的语言指责我们,甚至将我们的家人比作汉奸。这让我们每天都感到极度压抑和痛苦。他的体罚非常严厉,疼痛难忍。因此,我们班的同学决定要反抗这种不公,但我们的计划不慎被网警发现,导致派出所介入,学校也被要求处理这一问题。由于我在班级群中发言较多,我被视作领头人而被逮捕。明天,教育集团的领导将会对我进行审问。 就在昨天晚上,我们班级群里的其他发表言论的同学也都接到了警察的电话。这位老师的行为确实过分,我因此组织了罢课和抗议活动。在讨论这一事件时,我们确实使用了一些激烈的言辞。开学仅一个月,我们班中已有许多人对他表示不服。这位老师有时也会冤枉学生,当学生试图为自己辩解时,他便指责学生品德有…
❤24🤨6
Signed シスター
求助帖,我爸妈已经离婚了,现在有了后妈(我没有改口)我结婚的时候要不要叫上自己的亲妈呢?(因为离婚都是她的过错出轨)。我觉得如果叫,到时候场面会很尴尬,两个妈都在,搞不好还会在我婚礼上发生什么不好的事情。如果不叫,毕竟是我亲妈但是估计我结婚的事情也会从亲朋好友嘴里传出去,到时候我妈会更伤心。各位帮帮我,我应该怎么做😭
❤10
Signed シスター
我的人生是自己走进一条小道的。 下个星期一,就要去985大学的教务处办理退学申请了,两年,我挂了32个学分,从第二个学期开始重修高数上,线代;从第三个学期开始重修高数下,概率论,大物上;第四个学期又加上了大物下,工程力学和工程地质。 有经验的朋友应该从学科中看出来我的专业:没错,我学的土木工程。 但我不是自己去选择土木工程的,不是俗套的家长逼着我选好学校,相反,开明的他们一切都让我自己选择。 高考出分后,出国,中外合办,985,211全由自己选。出于玩乐的方便,我选择了一所离家近的985,专业不算是土木工程,而是大类分流(简单就是按照你大一的成绩分去不同的专业)盲目自信地觉得自己肯定不比别人差,大类分流也不可能去到土木。 也许是信了“上大学你就轻松了这句话”整个大一上学期,我的总学习时长绝对不超过10个小时,相反无畏契约段位打上了神话,宝可梦朱紫对战上了大师球,9月到12月看了不下5场演出。 大一下,大二也是相同的剧情,每次临到…
❤9🤣5
Signed シスター
我忏悔。昨天九月十一日下午五点多,开车把路边停着的车剐蹭了,尝试联系车主留在车上的电话无果后,逃逸了。
❤16🗿8👎4👍2
Signed シスター
我忏悔我把快乐弄丢了 我的家庭普通的中国家庭,压抑,没有什么亲情可言,我从小到大养过很多小狗,可是经常夭折,因为小狗的爱是无私的所以我会毫无保留的爱小狗,每次离去我都会很难过,并且给自己加上一层隐形的枷锁,后来越来越大,生活的压力越来越大,现在我甚至都没什么玩的欲望了,也不知道活着是为了什么,有个网恋对象可是我现在回觉得麻烦,明明以前的自己很渴望爱啊
❤23😭6🤨2
Signed シスター
到底什么是婚姻我也不懂,我也没结婚,最近谈了一段一年半的时间,我今年28岁他比我小3岁,他上学我工作,一开始的时候两个人是特别特别好的,因为是异地每天都打电话打视频,连他上课我上班的时候也开着,跟我说过最多的话就是我我年龄大,应该很懂事,不应该像小女孩一样发脾气,我承认我有时候确实很任性,后来我发现他无法共情我的情绪,他有情绪可以对我说我去安慰他,但是我有情绪跟她说的时候,他跟我说,这不是他想要的生活,不想让我给他传播负能量,他跟我说,一个男人要有情绪价值那就是赚不到钱的废物才会给我有情绪价值,他没有情绪价值是因为他能赚很多钱,跟我说了很多很多,不让我拿别人比较他,我觉得有道理,就听他的,并且跟他道歉,但是他的钱也没有给我一分,我上班,我给他发红包比较多,他给我转520,888,后面吵架一直跟我要,我都还给他了,每次吵架都跟我算各种吃饭买礼物的费用,说我不舍得给他花钱,可是他给我买我会回礼回转账,不会让他白花钱,说我不舍得请他吃…
❤21🤯7
Signed シスター
Showing the 12 most recent of 57 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.
@cyber_confessional edited 4 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.
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.
Named by 17 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
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.
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.
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.
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“赛博忏悔室” (@cyber_confessional), 40,149 subscribers as measured 24 September 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.