Channel
@VP2130123
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,633subscribers
-44 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001976323558 |
|---|---|
| Type | Channel |
| Username | @VP2130123 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/VP2130123 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:33 | 4,633 | -34 |
| 9 Aug 2026, 16:31 | 4,667 | -10 |
| 9 Aug 2026, 03:30 | 4,677 | first reading |
6 posts held, back to 22 January 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 3 pagesof 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 11 August 2026 |
|---|---|
| Posts held | 6 (22 January 2026 – 11 August 2026) |
| Views total | 6 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 06:58 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.
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 of the 6 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 22 January 2026 to 11 August 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.
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❤2
【独家猛料】中国警察境外丑闻引爆网络！缅甸女孩血泪控诉！ “我是一名缅甸女孩，我必须说出真相。” 2025年10月27日晚，中国沧源县公安局杨队长在缅甸佤邦邦康市“公务出差”期间，入住“邦龙大酒店”。 酒后，他竟要求朋友为其寻找“特殊服务”！ 所谓公务 当晚，他与一名按摩店女生发生关系后，不仅拒绝支付费用，更对女孩进行言语辱骂与贬低，并嚣张声称： “我是中国警察！” 更令人发指的是，第二天晚上，他再次嫖娼另一名女性！ 所有费用均由其朋友支付。女孩们事后才通过闲聊，得知他的真实身份。 作为中国警察， 在境外多次嫖娼， 生活糜烂， 公然违纪违法！
消费彻底变天！仪式感已死，实用主义当道！ 鲜花的“情人节光环”彻底崩了！ 现在谁还买又贵又短命的鲜花？红包、首饰、手机才是硬通货，甚至有人直接送蔬菜水果花束！ 观念巨变： 从 “为仪式感买单” 到 “把钱花在刀刃上”！ 情感表达方式也翻天覆地！ 公开炫耀过时了，低调陪伴才是王道。 一起做饭、打扫、简单吃顿饭，比发一百条朋友圈都暖。 共识是：爱不是秀出来的。 更猛的来了！ 2026年情人节撞上腊月廿七！ 满屏都是年货、扫除、团圆，谁还顾得上什么情人节？ 这是文化重心的强势回归！ 朋友圈分享欲断崖式下跌！ 原因赤裸裸： 分组太麻烦 怕泄露隐私
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【真实经历】我在“包养群”被坑了五万二！ 起因是加入了一个Telegram的所谓“高端包养群”。在群里推荐的“选妃网站”上，我花了一万一千元，包养了一个“学生妹”一周。 前几天还算正常，昨晚她来酒店找我。事后闲聊，我问她到手能拿多少，她坦言只有几千块。看她挺诚实，我甚至提出过年给她六万陪我回家，她也答应了。 【转折点来了】 半夜，她说闺蜜找她，出去一趟就回。我太累就先睡了。结果，她再也没回来！ 更绝的是：当天刚好包养到期！凌晨两点左右，她直接收钱拉黑我，玩起了消失！ 损失总计：¥52,000 包含：一周包养费 + 承诺的过年费用 最后警告： 那个叫“甜心包
Showing the 6 most recent of 6 posts we hold for @VP2130123. 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.
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.
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 20 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“特区信息|技术频道” (@VP2130123), 4,633 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/VP2130123.
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.