Telegram RegisterThe public register of Telegram
Telegram profile photo for 骗钱畜生曝光 @pianqian

Channel

骗钱畜生曝光 @pianqian

@pianqian

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

602subscribers

+72 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003255481080
TypeChannel
Username@pianqian
CreatedBetween 1 October 2025 and 12 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/pianqian

Growth

5306025667 August 2026 — 530 subscribers7 August 2026 — 530 subscribers13 August 2026 — 602 subscribers7 August 202613 August 2026
3 measurements spanning 7 days, net +72. 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 519–613 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:58602+72
7 Aug 2026, 07:17530no change
7 Aug 2026, 03:15530first reading

Engagement

13 posts held, back to 12 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 29 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

6 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
350.0%
🤮233.3%
🤡116.7%

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 7 of the 13 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 12 January 2026 to 29 May 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

29 May 2026, 12:39 UTC≈1,820 views0 reactionsread 7 August 2026
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@libaidej https://t.me/@id6439001832 骗钱畜生曝光,做新币假群,还理直气壮炫富,这点铜板好意思吹吗,还说自己开140万RMB的保时捷

9 May 2026, 15:39 UTC≈1,070 views0 reactionsread 7 August 2026
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骗钱畜生曝光 冒充piya https://t.me/@id7508009593

21 Apr 2026, 06:16 UTC≈1,190 viewsread 7 August 2026

@hhwjy @v587ceo @nisimale 这是骗子,三个号都是他的,大家注意避坑 骗子更改用户名被曝光后,删除了用户名。一个号直接注销。没有关系。ID是改不了的 和他们来往注意,一个垃圾号什么都没有,千万别相信 https://t.me/@id8104694422 https://t.me/@id6962415878

15 Apr 2026, 09:25 UTC≈1,400 viewsread 7 August 2026
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骗钱畜生曝光 @xufeu 他把他用户名和ton域名转到了 8888000的号码地址上 来冒充

13 Apr 2026, 12:41 UTC≈1,300 viewsread 7 August 2026
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https://t.me/kkkkkkksvip https://t.me/qiya https://t.me/hrs567 https://t.me/@id8248751872 https://t.me/@id5356665551 https://t.me/@7668134435 骗钱畜生曝光! 拉假皮亚群,假富婆担保, @qiya 起亚,笑死个人,而且这个骗子在富豪群里埋伏,群里一曝光他立刻删聊天记录,并踢出假富婆担保群

10 Apr 2026, 13:51 UTC947 views0 reactionsread 7 August 2026
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揭露骗钱畜生一个,把富豪拉进他的群里,用所有者发言骗钱 @hooplis https://t.me/+88806160495 ⚠️ Scam id:767784972 @hooplis +88806160495 t.me/@id767784972 tg://openmessage?user_id=767784972

9 Apr 2026, 17:19 UTC821 viewsread 7 August 2026
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曝光骗钱畜生一个 @nisimale 他还有另外 2 个号 @hhwjy @chenzhl 这个骗子三个号都是他的 据说这个骗钱畜生,他的妈妈是妓女,一辈子卖淫为生,现在卖淫不了了,就放他出来诈骗 这畜生到处骗 ,希望大家注意,不要被他骗

30 Mar 2026, 17:39 UTC≈4,860 views0 reactionsread 7 August 2026
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曝光骗钱畜生一个 @ooccc 据说这个骗钱畜生,他的妈妈是妓女,一辈子卖淫为生,现在卖淫不了了,就放他出来诈骗 这畜生到处骗 ,希望大家注意,不要被他骗

19 Mar 2026, 11:09 UTC≈1,300 views1 reactionsread 7 August 2026
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骗钱畜生曝光 套路揭秘,死骗子把新币的机器人拉入他创建的私密群,把新币机器人的标签设置成所有者。(实际上所有者标签的颜色应该为紫色),然后利用匿名发言,让你误认为是新币机器人在说话,获取你的信任来骗钱,大家注意这个套路,互相提醒。

1

18 Mar 2026, 13:14 UTC986 viewsread 7 August 2026
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骗钱畜生曝光 @Xinyang758 诈骗了TPWNWhcvw543CzQwfF3LhVib2cwTVn2kpv 这个地址 49305U 骗钱畜生的地址是 TF6QjWN5okgUgeNzUTxAURkQo58n666666 骗钱畜生还有几个号:@utrxkefu @TRXHFG5 @vvipkefu @trc20_kefu @tronkefu

15 Mar 2026, 09:15 UTC806 views1 reactionsread 7 August 2026
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千万认清,有人冒充新币,@vwvv 是骗子。用户名和手机号都复刻看起来很像,一不小心就上当

1

18 Feb 2026, 12:15 UTC≈4,220 viewsread 7 August 2026
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#骗子 公布一个过年全家死完的烂骗子一个,他妈妈是个妓女,卖淫了一辈子,大过年死掉了。太可怜了 @qcp886

Showing the 12 most recent of 13 posts we hold for @pianqian. 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.

Citation-graph rank

Citation-graph rank — 822,640 of 1,480,944entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — 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.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“骗钱畜生曝光 @pianqian” (@pianqian), 602 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/pianqian.

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.