休息两天,回老家当野王了,百星局单排17-3,我好强。星期五开,信息等休息完统一回复。

Channel
别紧张,扶光不是什么好人
@qwezxc123qwezxcm
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,648subscribers
+994 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002969990955 |
|---|---|
| Type | Channel |
| Username | @qwezxc123qwezxcm |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/qwezxc123qwezxcm |
Topic
Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 Sept 2026, 16:36 | 8,648 | +223 |
| 14 Sept 2026, 18:56 | 8,425 | -3,972 |
| 13 Sept 2026, 08:20 | 12,397 | +55 |
| 11 Sept 2026, 11:36 | 12,342 | -289 |
| 8 Sept 2026, 21:35 | 12,631 | -192 |
| 5 Sept 2026, 11:16 | 12,823 | -230 |
| 3 Sept 2026, 11:00 | 13,053 | -162 |
| 2 Sept 2026, 03:57 | 13,215 | -62 |
| 1 Sept 2026, 06:48 | 13,277 | +5,194 |
| 29 Aug 2026, 00:17 | 8,083 | +16 |
| 26 Aug 2026, 09:53 | 8,067 | +49 |
| 23 Aug 2026, 03:52 | 8,018 | +192 |
| 19 Aug 2026, 05:42 | 7,826 | -3 |
| 15 Aug 2026, 19:22 | 7,829 | -13 |
| 12 Aug 2026, 10:06 | 7,842 | +161 |
| 9 Aug 2026, 13:01 | 7,681 | +27 |
| 8 Aug 2026, 13:15 | 7,654 | first reading |
Engagement
108 posts held, back to 25 July 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 20 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 25.7%
- avg views ÷ 8,648 subscribers
- Avg views / post
- 2,230
- 12 posts measured
- Reaction rate
- 0.1%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 108 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 4 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 108 (25 July 2026 – 1 September 2026) |
| Views total | 26,720 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:24 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
- 1m 22s
- Average length
- 4s
Measured directly from 19 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
60 reactions across 40 posts, in 2 distinct kinds. The most used accounts for 96.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 58 | 96.7% | |
| 💯 | 2 | 3.33% |
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 49 of the 108 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 108 most recent posts we hold, published 25 July 2026 to 1 September 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
Video, posted without a caption
❤1
开课中~-
是谁上百星了鸭,原来是我啊~~ 哈哈哈哈哈,不好意思打游戏去了忘记开课了,明天开,我明天一定开,下午1点-晚上12点,可以约。
❤1
垃圾游戏毁我青春
被迫离异了
https://t.me/jzhdie/27002
2026年8月30日 天气: 暴雨 早上起来,窗外蒙蒙的,雨下个不停,身体才好,在起床跟不起床之间犹豫了好久,最终还是钱更重要,起床出门化妆。 我打着伞依然挡不住风力加持下飘洒过来的雨滴,它打湿了我的背,我的腿,让我格外狼狈。 滴滴司机好像戾气也很重,走错路对着导航破口大骂,我像一只鹌鹑,缩在后排唯唯诺诺不敢吱声。 化妆的时候,才恍然发觉,身体应该还没完全恢复吧,吹着空调额头一直冒虚汗,化妆师很为难,一边为我上粉底,一边替我擦汗。 返程路上,第二个司机,明明这么大的雨,车窗都因为水幕的影响看不清路了,他还看得进去直播,对,他两个手机,一个手机开着导航,一个手机挂着直播间,主播说123 上链接,他还点了一下屏幕,好像在抢购。他对我以及他自己的安全一点都不负责。 下车后,进到小区才发现,这个小区的排水系统是真的烂,水已经堆积到脚踝,还好我穿的拖鞋,不过依然湿哒哒的,我觉得自己更脆弱了。 顺德下大雨,而我的心里好像要下一…
❤2
开课中……
明天开,下午1.30-晚上12点
人太不舒服了,休息,信息等好了统一回复。
倒下了 昨晚10点30突然发冷,短短半小时,体温从37直升39,跑了两家诊所被拒接,你陪我去挂急诊,医生说我发烧才两个小时,就算检查也查不出来什么,让我回家熬 早上8点起来量了一下体温,36.5,以为退烧了继续睡,睡到上午10点多被冷醒,全身发抖,牙齿都在打颤,你陪我去诊所,十几分钟,体温就突然飙到39.7,医生给我打针,你问我想吃什么,我不知道脑子里怎么冒出来平时不爱吃的,我说我要吃2个橘子,1个梨,1个香瓜,梨要切好,不管是凌晨还是白天,我要喝水你半夜爬起来给我倒水水端到手边,水果是送到嘴里的,怕我没胃口陪我喝了两顿白粥,生病的是我,折腾来折腾去的是你。 我亲爱的安安小姐,何其有幸遇见你。
❤5
Showing the 12 most recent of 108 posts we hold for @qwezxc123qwezxcm. 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.
Mentions
Named by 6 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.
@ADVHJI · 16,2551 post广州佛山邦女郎动态榜
@DFGVAQ · 23,7111 post广州佛山联邦老师打卡群
@FSLBSL · 22,0961 post佛山嫩妹甄选榜
@FSNMB2 · 51,3901 post佛山嫩妹甄选府
@FSNMFU · 38,8901 post嫩妹名探府【备用】
@GFMRT1 · 22,1091 post广州佛山联邦出击群(重生版)
@gzafua · 59,3131 post广州佛山联邦老师榜
@Gzffol · 77,5961 post广州佛山修車信息资源
@jzhdie · 93,4081 post佛山嫩妹【备用榜】
@NNnmbang · 15,7781 post佛山嫩妹备用榜单
@NNnmmtb · 9,7361 post佛山嫩妹甄选轮播群
@NNnmzxq · 21,8351 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“别紧张,扶光不是什么好人” (@qwezxc123qwezxcm), 8,648 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/qwezxc123qwezxcm.
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.