#网友曝光 梧桐烧烤对面的公司,管理 #大黑,说着人话做着畜生的事情。 不用问那么多,做管理没有做管理的样,一天天的动不动吊人,吊你妈B的你难道不是你妈生的? 发工资都发不清楚,cnm的你做你妈屁的管理。 小黑别被我抓到,吃着人饭做着你妈比的事情。 公司都是以星座命名的,在亚太找工作的朋友一定要避雷! 关注茶水间频道🥵@YTCSJ 投稿:@MT0666

Channel
亚太茶水间|亚太新闻|东南亚曝光
@ytcsj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
153,289subscribers
-90 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002167120993 |
|---|---|
| Type | Channel |
| Usernames | @kkndq @ytcsj @YTCSJ6 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 95 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.me/ytcsj |
Topic
Gambling & betting — 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 16 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Oct 2026, 16:56 | 153,289 | +209 |
| 18 Oct 2026, 07:49 | 153,080 | -64 |
| 18 Oct 2026, 00:01 | 153,144 | -41 |
| 17 Oct 2026, 19:47 | 153,185 | +7,436 |
| 17 Oct 2026, 05:08 | 145,749 | -61 |
| 17 Oct 2026, 00:34 | 145,810 | -148 |
| 16 Oct 2026, 17:06 | 145,958 | -1,173 |
| 16 Oct 2026, 05:16 | 147,131 | -52 |
| 16 Oct 2026, 01:48 | 147,183 | -1,179 |
| 15 Oct 2026, 14:08 | 148,362 | -1,091 |
| 15 Oct 2026, 03:39 | 149,453 | -252 |
| 14 Oct 2026, 22:46 | 149,705 | +527 |
| 14 Oct 2026, 11:16 | 149,178 | -751 |
| 14 Oct 2026, 00:20 | 149,929 | -1,094 |
| 13 Oct 2026, 13:46 | 151,023 | -158 |
| 13 Oct 2026, 00:29 | 151,181 | +5,449 |
| 11 Oct 2026, 04:40 | 145,732 | -1,805 |
| 9 Oct 2026, 11:42 | 147,537 | -1,491 |
| 8 Oct 2026, 13:18 | 149,028 | +2,517 |
| 6 Oct 2026, 22:21 | 146,511 | first reading |
Engagement
1,462 posts held, back to 16 August 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 126 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.58%
- avg views ÷ 153,289 subscribers
- Avg views / post
- 3,960
- 701 posts measured
- Reaction rate
- 0.021%
- reactions ÷ views · ER floor
- Posts in window
- 702
- of 1,462 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. It is computed over the 117 of 701 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 1,462 (16 August 2026 – 18 October 2026) |
| Views total | 2,772,894 |
| Reactions total | 100 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 12:23 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
- Video runtime
- 4h 03m
- Average length
- 40s
Measured directly from 361 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
130 reactions across 119 posts, in 11 distinct kinds. The most used accounts for 30.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 39 | 30.0% | |
| 👍 | 16 | 12.3% | |
| 😁 | 14 | 10.8% | |
| 🔥 | 12 | 9.23% | |
| ⚡ | 10 | 7.69% | |
| 🎉 | 9 | 6.92% | |
| 👏 | 9 | 6.92% | |
| 🤩 | 9 | 6.92% | |
| 🥰 | 9 | 6.92% | |
| 🤣 | 2 | 1.54% | |
| 🤗 | 1 | 0.769% |
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 152 of the 1,000 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 130 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 5 September 2026 to 18 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.
Telegram Stars
- Stars received
- 3
- across the posts below
- Posts paid on
- 1
- of 999 we hold a reading for · 0.1%
- Most on one post
- 3
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ytcsj. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 5 September 2026 to 18 October 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
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#继续曝光这家公司 作为这家公司的老员工,我来说说真实情况。管理层日常基本没有业务产出,大多时间都在摸鱼闲坐,繁重的业务压力全部压在基层员工身上。 我们基层员工是实实在在为公司创造业绩的人,本以为多劳多得。可各项扣费名目繁多,想方设法扣除我们的提成。 就算做出业绩,层层扣费之后,每个月能拿到5万泰铢都很困难。反观管理层,不用跑业务、不用做业绩,每月轻松拿到20-30万泰铢收入。 身为管理者,本职本就是帮组员反馈问题、维护组员合理收益,为大家争取权益。但这里的管理完全不是这样,面对组员提成被不合理扣除的情况,不会向上反馈,不会帮忙协调解决。 不仅不作为,还私下和朋友表态:只要没坑到自己就行。遇到需要出面沟通的事情,全部退缩不作为,只会在一旁说闲话。 如果有管理看到,欢迎自行对号入座。管理层不去维护组员,反而一味讨好老板亲属,任由基层员工的收益被压缩。大家辛苦做出来的业绩,最后红利都被少数管理层拿走。 希望管理层可以好…
❤1
#网友继续曝光 #畜生 我也曝光一下这只躲在妙瓦底的畜生 #海旺 。大家一定要避雷这只死野猪🐗,我草他妈的臭逼,这个专门贩卖人口的专家! 口头上包装他自己是股东或者什么代理,实际上他b钱没有,之前是我手下的二级代理,他就是打着各种合作什么的方式骗人的! 能跟他合作的也都是黑公司!具体有多黑呢?你们想想非洲鸡婆的逼吧!! 我从认识他这个家伙到现在就没听他做过一件人事,除了贩卖人口和逼良为娼以及骗各种老板的钱就没听他做过什么好事,唯一做过的好事就是让公司的人打他手底下的女员工轻一点! 遇到或者认识他就当我们命不好吧!不要觉得他对你们不会怎么样怎么样,只是你们还没有各种羁绊没机会坑你们而已。 我们公司已经有 #10个人 被他卖到妙瓦底那边的黑园区了。 如果你不把人搞回来,我们公司老板说支持我们找物业或者帽子以及军方搞死你这个畜生! 关注茶水间频道🥵@YTCSJ 投稿:@MT0666
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#实锤了:马来西亚和中国已经签署引渡条约~ 还在马来的盘总们抓紧跑路咯! 关注茶水间频道🥵@YTCSJ 投稿:@MT0666
#亚太 #爆破拆除 昔日的辉煌与喧闹,终究化为了如今满地的废墟。 爆破声响过,曾经的建筑毁于一旦,曾经的人群荡然无存。 看着这片空无一人的狼藉,心里只剩下无尽的酸楚与唏嘘——繁华散尽,不过是一场废墟里的空欢喜。 关注茶水间频道🥵@YTCSJ 投稿:@MT0666
Showing the 12 most recent of 1,462 posts we hold for @ytcsj. 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.
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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 4 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.
@pgdzr · 6,86546 postsV6娱乐
@HT_V6 · 3,92545 posts亚太 茶咖里Milk tea
@CKL666 · 7,44430 posts新全迅网
@xinquanxunwang · 5,17822 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 1,93420 posts亚太导航频道
@dh555 · 5,04618 posts亚太国际→86.Net
@ytgj9999 · 30,32618 posts2028234.COM-2028体育官方频道
@pg121 · 10,11215 postsY3国际 官方频道
@ai038 · 1,57514 postsY3国际 赛事推荐、nba篮球、足球|世界杯
@Y3GJTYTJ · 2,99314 postsY3国际u台福利频道、PG电子、真人百家乐
@Y3vip18 · 7,57114 postsN1官方频道
@N1GFFL · 6,78913 posts122体育 赌王之王-PG电子/麻将胡了/捕鱼/百家乐/
@PG012456 · 12,89313 posts122体育 精准赛事推荐、足球、NBA篮球|世界杯
@qsty789 · 2,25913 posts182体育 精准赛事推荐、nba篮球、足球|世界杯
@tytj182ty · 3,04113 posts🔥 182体育 福利频道(PG电子)
@vip182ty · 13,90113 posts2028官方频道
@FLPD2028 · 6,57312 postsN1娱乐城-赌王之王
@N1YLC8 · 5,74512 postsTG娱乐城-官方招商
@TGYLCzhaoshang · 4,17312 postsSOSO搜搜
@souso · 581,93411 postsUSDT.VIP_官方频道
@uuss1 · 11,48411 posts8K国际官方频道
@VIP8KYL1 · 7,89911 posts🔥KK娱乐城-18.vip-🔥官方招商
@kkyl5000 · 4,43510 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 4,8399 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@ytcsj named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 6 posts, 4 October 2026 – 7 October 2026
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 18 October 2026 — this entry's latest reading, not the date you are reading this.
“亚太茶水间|亚太新闻|东南亚曝光” (@ytcsj), 153,289 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/ytcsj.
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.