被员工恶意仲裁索赔十几万,那个员工是我助理,负责招聘、人事以及日常管理事务,她以生病为由主动离职走了,也没有留下书面记录,口头说的,现在反过来说公司辞退然后没有续签劳动合同为由进行起诉 这种人真的是太让我无语了,过几天就开庭了,虽然找了律师说我这边大概率不会承担这几十万的赔偿,但是心里吃了颗老鼠屎太难受了,请教有什么办法能让她页难受一下
👍15🌚7❤3🤡3😁2👾1

Channel
@chxpd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
156,231subscribers
+5,287 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001874387876 |
|---|---|
| Type | Channel |
| Username | @chxpd |
| Description | 匿名或带用户名投稿自己的秘密,忏悔,后悔,内心感触或过错行为等等,请勿投稿以下内容:字数太短,复制别人的帖子,编造,带节奏,色情,恐怖,个人身份信息等等,友情频道: @fa_dian 投稿Bot: @shudong123bot 误封解封: @tuhuotu 搜索🔍机器人: @soushudongbot 网站:https://shudong888.com/ |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/chxpd |
Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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 |
|---|---|---|
| 22 Oct 2026, 21:37 | 156,231 | +45 |
| 21 Oct 2026, 16:37 | 156,186 | +43 |
| 20 Oct 2026, 11:55 | 156,143 | +66 |
| 19 Oct 2026, 08:36 | 156,077 | +86 |
| 18 Oct 2026, 05:45 | 155,991 | +19 |
| 17 Oct 2026, 05:57 | 155,972 | +41 |
| 16 Oct 2026, 07:28 | 155,931 | +65 |
| 15 Oct 2026, 08:56 | 155,866 | +43 |
| 14 Oct 2026, 10:09 | 155,823 | +62 |
| 12 Oct 2026, 21:00 | 155,761 | +317 |
| 8 Oct 2026, 08:58 | 155,444 | +371 |
| 3 Oct 2026, 22:40 | 155,073 | +592 |
| 25 Sept 2026, 05:41 | 154,481 | +176 |
| 17 Sept 2026, 10:40 | 154,305 | +190 |
| 15 Sept 2026, 08:02 | 154,115 | +143 |
| 13 Sept 2026, 14:58 | 153,972 | +114 |
| 11 Sept 2026, 21:01 | 153,858 | +209 |
| 9 Sept 2026, 07:18 | 153,649 | +271 |
| 6 Sept 2026, 01:58 | 153,378 | +126 |
| 4 Sept 2026, 01:20 | 153,252 | first reading |
147 posts held, back to 25 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 159 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.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 147 (25 July 2026 – 22 October 2026) |
| Views total | 1,253,350 |
| Reactions total | 3,187 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Oct 2026, 02:19 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 23 October 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.
10,241 reactions across 147 posts, in 59 distinct kinds. The most used accounts for 23.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 2,366 | 23.1% | |
| ❤ | 2,029 | 19.8% | |
| 👍 | 1,107 | 10.8% | |
| 🤣 | 704 | 6.87% | |
| 😢 | 541 | 5.28% | |
| 🤮 | 523 | 5.11% | |
| 😁 | 434 | 4.24% | |
| 😭 | 364 | 3.55% | |
| 🖕 | 340 | 3.32% | |
| 👾 | 328 | 3.20% | |
| 🌚 | 157 | 1.53% | |
| 🤬 | 144 | 1.41% | |
| 😱 | 104 | 1.02% | |
| 😈 | 85 | 0.83% | |
| 👀 | 74 | 0.723% | |
| 🌭 | 69 | 0.674% | |
| 🤔 | 64 | 0.625% | |
| ⚡ | 60 | 0.586% | |
| 🕊 | 59 | 0.576% | |
| 🤷 | 56 | 0.547% | |
| 39 further kinds | 633 | 6.18% |
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 147 of the 147 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 10,241 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 147 most recent posts we hold, published 25 July 2026 to 22 October 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.
被员工恶意仲裁索赔十几万,那个员工是我助理,负责招聘、人事以及日常管理事务,她以生病为由主动离职走了,也没有留下书面记录,口头说的,现在反过来说公司辞退然后没有续签劳动合同为由进行起诉 这种人真的是太让我无语了,过几天就开庭了,虽然找了律师说我这边大概率不会承担这几十万的赔偿,但是心里吃了颗老鼠屎太难受了,请教有什么办法能让她页难受一下
👍15🌚7❤3🤡3😁2👾1
原生家庭对孩子的影响真的很大吗 离异家庭跟父亲生活,父亲高血压身体不好酗酒抽烟熬夜, 他是个无力的人说话做事不顺他的意就三天两头对我打打骂骂,我能理解 母亲在我很小的时候被家暴离婚,我记事起母亲就不在身边,她对我总是表现的很愧疚, 我们一年见一次到现在,我一直自认为我的内心坚硬,我的心理健康,认识朋友的时候提起父母离异,看着他们急急忙忙的道歉,我倒是觉得无所谓。
😭18❤12👍7😁3🌚2
在厂里上班,被一个离职实习生偷了东西,价值很低,但是对我来说很有意义,找他沟通,他不理,这种情况报警有用嘛?如果没用,我打算短信轰炸他,也算是报复他了
👍20😢7🕊6😐4🌚3😁2❤1
兄弟萌,刚分手,两个人有各种美好的回忆,和平分手,以后也遇不到比她更好的了,但是现实问题没法在一起,现在一看到之前的照片,或者去过的地方就特别难受,有什么办法能快点走出来吗,感觉心脉受损了
👍13👻5❤4🆒3😁1
我和我的前女友谈了六年,从相爱到现在她把我视为仇人,不顾一切的要离开我,我承认很大一部分原因在我,我之前赌博,拿她钱,但最后还给她了,现在她借着家里和工作的原因,和我直接断崖式分手,然后被我发现她沉迷酒吧找男模,甚至直接住到那些男的家里,我做什么都不能改变她的想法,父母自认为女儿家教很严,如果我把她现在做的事告诉她父母,她应该会被严加限制,只是我这么一做, 她估计会彻底恨上我,但其实现在的情况又比那样好到哪里去呢!!!
😢12🤬10❤2👍1😁1
跟风是万恶之源啊! 本以为学校的那些 gay 都只是说着玩玩而已,没想到竟然真有啊。 之前在宿舍的时候,有几个玩的好的朋友,因为我看起来比较老实,成绩也不错,所以他们喜欢装出一副男同样,把我当成男神供着,对我进行一些谄媚。 逆天了的时候拾取我的内裤袜子,进行一个品鉴😱😱😱 不过在男生宿舍,这算正常了,毕竟原以为都是装着玩玩罢了,但直到某天夜里,我半夜被好兄弟亲醒了……😭😭😭尼玛的诗人否? 当时我还谈着女生呢,坚定的异性恋者。 …… 后来和女友分手了,狗血的是,亲我的好兄弟和我前女友处上了,之后好兄弟给我删了…… 原来,我…… 起到一个信息传递作用(╥﹏╥)
😈34🖕10❤9🤡5😁5🌚4👻4🗿4
1:今年23岁,但是感觉时间过的好快,前几年就像是一眨眼就过去的不记得很多事情。性格也变了好多,这正常么?而且曾经的我也许真的挺有心气的,但我现在怎么说呢,好像是困在一个务实的笼子里一样。今天上班遇见了小网红来我们店里,是很年轻的很洋气,也很有趣?(我觉得自己天天上班好无趣,灰暗)比我小几岁,但是很优秀。其实我很久没有关注过他人的生活了,朋友圈也关了两年,抖音也只看自己喜欢的一些内容,也许是麻痹自己让自己在思想编织好的专属世界。世界也逐渐变小…2:这是什么状态?3:想知道这是正常的么?4:有什么方法可以改善? (也许是强烈的对比和忽然的阶级差异让我面对这个现实世界和正视自己的能力欲望…好痛苦
❤13🤷♀9✍1👍1
最近在抖音上刷到一堆中国女倒贴黑人,这个抖音也挺奇怪,就刷到了一个视频点开看了下评论就一直给我推这种,我实在是看不下去,让我大为震惊😨😨😨😨😨,兄弟们这些事是真的还是虚假摆拍😨😨😨😨😨😨,在生活中真的有这么多女的愿意倒贴黑人吗😨
🌚14👀4🍾3😁2❤1👍1
觉得本频道不刺激,请到颠佬频道 ➡️ https://t.me/fa_dian
👍16🙊12❤11🍓5⚡2🙉1
现在咋办个护照那么啰嗦,前段时间去办理,因为是异地,工作人员说要把文件发到我户籍地批准了才给我发,过后户籍地的打电话过来问去干嘛我说旅游,他说必须要报团才批,我想在网上找那种公司弄假的章,会查出来吗?
🆒16🐳4❤3👀2😁1
十几岁出门,现在三十多岁。没技术,没学历。负债三十多个。小孩还在上学,年初查出尿毒症,现在开始透析。每天四袋。每个月医药费两三千。这人生已经看不到希望了,每天在家躺着玩手机。各位18cm的大雕,36D美女。有没有可以赚点零花钱。 via 于 适
😇15❤5🤔4🤣4😁2☃1
天塌了,36岁国企失业1年后,又去了校招单位工程类国企,过得跟狗一样,为了这1万左右的工资,真的觉得天塌了,以前年薪20,现在一半左右,当年轻领导的小弟,真不知道未来的路该怎么走,真是情感压抑,精神压抑,性压抑。以前总觉得生活会越来越美好,都说打工没出路,可是打工久了,有了老婆孩子真是没有开始的勇气,路在何方,奔4了 via zh zwh
👍8🤔4🥱4❤3😁3
Showing the 12 most recent of 147 posts we hold for @chxpd. 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.
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 8 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 17 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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“秘密小频道(树洞)” (@chxpd), 156,231 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/chxpd.
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.