1
Channel
班长
@qchuai
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
5subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003843615843 |
|---|---|
| Type | Channel |
| Usernames | @gaiyueyue @huangzhezhe @qchuai |
| Created | 21 April 2026 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/qchuai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 18:02 | 5 | no change |
| 13 Aug 2026, 03:33 | 5 | no change |
| 10 Aug 2026, 03:46 | 5 | first reading |
Engagement
7 posts held, back to 21 April 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 · 30 days
- 1080.0%
- avg views ÷ 5 subscribers
- Avg views / post
- 54.0
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 7 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.
| Window | Rolling 30 days · latest post in window 19 July 2026 |
|---|---|
| Posts held | 7 (21 April 2026 – 19 July 2026) |
| Views total | 216 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 18:02 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
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 13 August 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.
Recent posts
导航分类,点击直接跳转 班长 - 班长2 点击直接跳转
1
班长2 @abanzhang 188 A班长 @aobanzhang 168 敖班长 @baibanzhang 168 白班长 @banzhangb 168 班长B @banzhangc 168 班长C @banzhangd 168 班长D @banzhangf 168 班长F @banzhangg 168 班长g @banzhangj 168 班长J @banzhangn 168 班长N @banzhangp 168 班长P @banzhangr 168 班长R @banzhangs 168 班长S @banzhangt 168 班长T @banzhangv 168 班长V @banzhangx 168 班长X @banzhangy 168 班长Y @benbanzhang 138 本班长 @caibanzhang 138 彩班长 @chaobanzhang 138 超班长 @chenbanzhang 168 陈班长 @…
Channel name was changed to «班长»
班长 @anbanzhang 168 安班长 @babanzhang 138 巴班长 @banzhang0 168 班长0 @banzhange 168 班长E @banzhangm 168 班长M @banzhangw 168 班长W @banzhangz 168 班长Z @baobanzhang 138 宝班长 @bbanzhang 188 b班长 @bibanzhang 168 毕班长 @binbanzhang 138 斌班长 @bobanzhang 168 博班长 @canbanzhang 168 灿班长 @caobanzhang 168 曹班长 @cbanzhang 188 C班长 @chanbanzhang 168 婵班长 @changbanzhang 168 常班长 @chengbanzhang 168 程班长 @chubanzhang 168 楚班长 @cibanzhang 138 慈班长 @cuibanz…
Channel created
Showing the 7 most recent of 7 posts we hold for @qchuai. 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 — 2,734 of 1,350,102entries 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 3 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.
@abanzhang · 71 postdiehuohuo
@diehuohuo · 51 postee1ge
@ee1ge · 41 postfbanzhang
@fbanzhang · 31 postggx9g
@ggx9g · 31 postguijunjun
@guijunjun · 21 postjiantaitai
@jiantaitai · 21 postjj5bj
@jj5bj · 41 postjjzwj
@jjzwj · 31 postjuguigui
@juguigui · 31 postkepeipei
@kepeipei · 31 postluohonghong
@luohonghong · 31 postmaojingjing
@maojingjing · 41 postmmr0m
@mmr0m · 31 postpangshishi
@pangshishi · 31 post富豪/富婆
@pengfupo · 71 postppk7p
@ppk7p · 41 postqiuyunyun
@qiuyunyun · 31 posttaoxiaxia
@taoxiaxia · 31 posttutongtong
@tutongtong · 31 postwushangshang
@wushangshang · 31 postyinxiangxiang
@yinxiangxiang · 31 postyuankunkun
@yuankunkun · 31 postzhaoguanguan
@zhaoguanguan · 31 post
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.
“班长” (@qchuai), 5 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/qchuai.
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.