Channel
@pianzi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,946subscribers
+660 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003923870986 |
|---|---|
| Type | Channel |
| Username | @pianzi |
| Description | 揭秘全网套路/骗局 曝光所有一切骗子 保障您的资金安全！ 投稿澄清联系 @chiguaquan 永不失联官网 xinbi.com |
| Created | Between 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/pianzi |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:02 | 11,946 | +159 |
| 10 Aug 2026, 21:57 | 11,787 | +133 |
| 10 Aug 2026, 00:03 | 11,654 | +134 |
| 8 Aug 2026, 23:01 | 11,520 | +135 |
| 7 Aug 2026, 21:03 | 11,385 | +99 |
| 6 Aug 2026, 22:46 | 11,286 | first reading |
14 posts held, back to 6 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 15 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. It is computed over the 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 14 (6 August 2026 – 12 August 2026) |
| Views total | 25,604 |
| Reactions total | 27 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 12:49 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 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 2 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.
27 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 77.8% | |
| 👍 | 6 | 22.2% |
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 11 of the 14 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 6 August 2026 to 12 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.
用户名： @Zche7799 骗子ID： 5770438618 被骗描述： 我去群里找打广告的找到这个人 这个人发了一个新币对接专群的链接（这个是一个通过伪装过的机器人不是真的）给我 然后我就点击进去拉专群 群拉好我就上压了 没怎么看 我以为是真的新币担保 就没去注意 等到u打上去叫我补押的时候我就感觉不对了 因为之前用新币从来不会主动叫我补押的 然后我就去担保群看 才发现被骗了 找不回来u了 给大家提个醒吧
❤5
用户名： @xbzw1 @sko133 @ccbbh8 @xbxc18 @kala855 @ydssy2 @xbqz8 @xbby04 骗子ID：6721462405 8784161351 6339143847 8114667306 2023297376 8014999135 6489793368 8006786464 被骗描述：拉假群
用户名：@aj9984 @ay9982 @aq9984 骗子ID：8866170604 8719570816 8642212680 被骗描述：拉假群
❤2
用户名： @hg6978 @faoye8 @cvfj66 骗子ID： 7268080133 7876460908 5647187506 被骗描述： 拉假群
❤4
用户名：@leishiyan @xbhwnn 骗子ID： 5064191237 8253066474 被骗描述：抖音代刷被骗，他说有公群做保障也没验群就相信他了，开始说要交押金，押金交完说要交保证金，保证金交完又说我要刷的那个没有了要换其他的更高级的，但是需要补押。这个时候知道被骗了。问朋友说这个是假群我被骗了，骗子知道我识别他是骗子之后就删记录跑路。然后另外一个估计也是他们的同伙说让我付70U或者500人民币打仲裁。接着骗仲裁费但是我已经知道他们是骗子了。
用户名：@xixilllll 骗子ID： 6896854582 被骗描述： 拉假群
👍1
用户名： @tangc02 @xb_ffff 骗子ID： 7422928262 7037312091 被骗描述：假公群，刚开始没仔细看，看汇率挺高的，就想和他交易一下。刚说完拉专群之后，他说只能走私下，2700u金额太小了，我就感觉不对劲，赶紧去建完群，发现这是个假群，他连假担保都懒得拉，公群上押地址也才160u，劝告大家以后一定要验群，现在的骗子假群做的太真了。
👍5❤2
用户名： @jiajai00 @linlin7797 @m8g888 骗子ID：8082700752 8084936080 5033942772 被骗描述： 拉假群
❤4
用户名： @kkkkkk12152 @yinghlink9 @xbhwc2 骗子ID： 8721385637 8809214724 7776919952 被骗描述： 拉假群
❤1
用户名：@nhds3 骗子ID： 7661285323 被骗描述： 拉假群
用户名：@xbhwS04 @djwzl 骗子id： 8110305211 7504037458 被骗描述： 拉假群
用户名： @xbddkfbot 骗子id： 8298173174 被骗描述： 假机器人
Showing the 12 most recent of 14 posts we hold for @pianzi. 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 — 157,071 of 1,151,006entries 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.
Named by 7 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.
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.
“全网骗子曝光🥷套路骗局揭秘📷” (@pianzi), 11,946 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pianzi.
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.