📊 1条车评,综合分 8.8 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 8.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【郑州学生会】 【编号】:#306 【花名】:#七喜 【课费】:#600P #1200PP 【车牌】:@qixi1219 【位置】:#金水区 【硬件】:嫩妹,人照八九分分,本人更好看, 年龄22,身高有166,体重95,不瘦不胖 ,肤色正常,无痘,无纹身 ,真胸C罩挺拔手感极佳,蝴蝶屄,毛量少,水多,松紧度为紧,无异味 【详情】: #嫩妹 #金水区 #6P #大胸 #陪洗 #无套口 #姿势配合 #制服 #耐桩 #身材好 【提示】东北妹子,肤色偏白没照片那么白,但身材极佳,真胸大胸挺拔不垂手感是真的好,颜值也可以,喜欢聊天不冷场,各种姿势配合耐桩,值得出击。 【学生报…

Channel
郑州学生会车库
@zzxshc
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
36,431subscribers
+1,795 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001940695367 |
|---|---|
| Type | Channel |
| Username | @zzxshc |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/zzxshc |
Topic
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 14 Sept 2026, 20:19 | 36,431 | +4 |
| 13 Sept 2026, 06:14 | 36,427 | -315 |
| 11 Sept 2026, 12:01 | 36,742 | +463 |
| 8 Sept 2026, 16:56 | 36,279 | +383 |
| 5 Sept 2026, 12:40 | 35,896 | +300 |
| 3 Sept 2026, 12:36 | 35,596 | +117 |
| 2 Sept 2026, 08:18 | 35,479 | +85 |
| 1 Sept 2026, 05:25 | 35,394 | -20 |
| 31 Aug 2026, 04:04 | 35,414 | +127 |
| 30 Aug 2026, 01:34 | 35,287 | -64 |
| 29 Aug 2026, 03:24 | 35,351 | -95 |
| 28 Aug 2026, 03:13 | 35,446 | +13 |
| 27 Aug 2026, 01:04 | 35,433 | +146 |
| 26 Aug 2026, 02:06 | 35,287 | +100 |
| 25 Aug 2026, 01:33 | 35,187 | -54 |
| 23 Aug 2026, 14:17 | 35,241 | -47 |
| 22 Aug 2026, 00:25 | 35,288 | +379 |
| 20 Aug 2026, 21:35 | 34,909 | +209 |
| 19 Aug 2026, 21:26 | 34,700 | +198 |
| 18 Aug 2026, 20:07 | 34,502 | first reading |
Engagement
47 posts held, back to 5 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 53 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.90%
- avg views ÷ 36,431 subscribers
- Avg views / post
- 2,150
- 41 posts measured
- Reaction rate
- 0.166%
- reactions ÷ views · ER floor
- Posts in window
- 41
- of 47 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 36 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 September 2026 |
|---|---|
| Posts held | 47 (5 August 2026 – 11 September 2026) |
| Views total | 88,058 |
| Reactions total | 133 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Sept 2026, 23:33 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
- 2m 55s
- Average length
- 11s
Measured directly from 16 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
168 reactions across 39 posts, in 2 distinct kinds. The most used accounts for 82.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 139 | 82.7% | |
| 💩 | 29 | 17.3% |
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 41 of the 47 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 168 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 5 August 2026 to 11 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.
Telegram Stars
- Stars received
- 43
- across the posts below
- Posts paid on
- 17
- of 47 we hold a reading for · 36%
- Most on one post
- 4
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zzxshc. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 47 most recent posts we hold for this entry, published 5 August 2026 to 11 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州学生会】 【编号】:#305 【花名】:#雅彤 【课费】:#700P #1300PP 【车牌】:@zzytgr 【位置】:#管城区 【硬件】:妹妹刚满18岁,长得巨嫩,人照9分相似吧,很可爱,三点粉嫩,胸B左右,身材苗条,皮肤正常,小穴水多,巨紧 【详情】:#嫩妹 #管城区 #7P #态度车 #颜值车 #三件套 #小萝莉 #舌吻 #69 【提示】长得很嫩的妹妹,小小的一只,很可爱,接受度也很强,服务基本上都有,很听话,就是需要狼友开发。 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑换白…
💩2❤1
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州学生会】 【编号】:#304 【花名】:#伊一 【课费】:#600P #1100PP 【车牌】:@YiYi06291 【位置】:#中原区 【硬件】:妹妹人照8分,身高165,90来斤,身材极品,罩杯B到C,胸型好看,挺拔不下垂,三点粉嫩,下面毛毛不多,屁股又大又软 【详情】:#嫩妹 #中原区 #6P #态度车 #陪浴 #大屁股 #三件套 #御姐 【提示】妹妹身材很好,东北人,爱聊天不冷场。服务态度很好,非常配合。胳膊上有纹身,是卡通的还挺好看。 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告…
📊 1条车评,综合分 8.5 好评 100% | 人照 9.0 | 服务 8.0 中评 0% | 颜值 9.0 | 态度 8.0 差评 0% | 身材 7.0 | 环境 10.0 👆 【点击查看评价】 【郑州学生会】 【编号】:#303 【花名】:#小雅 【课费】:比如#600P #1200PP 【车牌】:@L959888 【位置】:#惠济区 【硬件】:(老师的硬性条件)妹妹人照9分,年龄18,干瘦是(少女)类型,没有胸,身上没啥肉,排骨妹 穴紧,水多,黄皮,额头有痘 妹妹毛不多 蝴蝶B 无味道 【详情】:(妹妹的标签)#嫩妹 #中原区 #6P #态度车 #人照一致 #三件套 #小萝莉 #舌吻 #没胸 【提示】(简述的优劣,给狼友提醒,不少于20字)人照一致,舌吻会主动打断施法,没有胸,只有两个奶头,服务其他还算配合,会主动陪浴(抹沐浴露),询问是否可以舔B,回…
❤2
📊 1条车评,综合分 9.2 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【郑州学生会】 【编号】:#302 【花名】:#媛媛 【课费】:#700P,#1300PP 【车牌】:@zzzzyuanyuan 【位置】:#金水 【硬件】:妹妹人照9分,年龄20,小穴紧,水多,妹妹毛不多,没有味道, 【详情】:#嫩妹 #金水 #态度车 ,做 【提示】微胖妹妹,说话聊天很有意思,态度很好,听话,让怎么样就怎么样 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑换白嫖,现金奖励。
❤2
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州学生会】 【编号】:#301 【花名】:#笨笨 【课费】:#700P,#1300PP 【车牌】:@zzbenben 【位置】:#东区 【硬件】: 人照九分像,本人,可爱,个子一米六左右,胸围大概有B到C,皮肤正常,很紧 【详情】:#嫩妹 #东区 #态度车 【提示】身高不是很高,身材很有料,大胸,说话很好玩,配合,态度很好,喜欢大胸的冲 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑换白嫖,现金奖励。
❤3
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_112139956
📊 2条车评,综合分 9.8 好评 100% | 人照 10.0 | 服务 9.5 中评 0% | 颜值 10.0 | 态度 10.0 差评 0% | 身材 10.0 | 环境 9.5 👆 【点击查看评价】 【郑州学生会】 【编号】:#300 【花名】:#郑州肉肉 【课费】:#500P #1000PP 【车牌】:@aqqe2685 【位置】:#新郑市龙湖镇 【硬件】:妹妹人照10分,年龄18,身材完美 是大学生,胸b很弹,手感非常完美?小穴非常紧 皮肤健康颜色 没有纹身 妹妹毛量正常无味道 【详情】:#嫩妹 #新郑市 #5P #态度车 #颜值车 #极品 #三件套 #小萝莉 #舌吻 #无纹身 #反差 #大学生 【提示】极品堪称完美 在8p里都是比较抗打的存在,要去的抓紧了。而且是纯正的大学生,要上课一天接不了几个。 【学生报告】: 报告一 报告二 【报告查看】:http…
💩12❤2
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州学生会】 【编号】:#299 【花名】:#娜娜 【课费】:#700P 【车牌】:@NNaz3d 【位置】:管城区 【硬件】:妹妹人照10分,年龄22,身材比例无敌,纤细又有肉,胸c,手感软糯挺拔有弹性,小穴湿热紧致,皮肤丝滑,妹妹小户型,无异味 【详情】:#痴痴痴痴女 #管城区 #7P #服务车#舌吻 #情趣内衣 #反差 #御姐 【提示】目前甚至以后找不到一个比娜娜更痴女的,40分钟一点闲不住,可s可m,尺度很大,全程被掌控,体验到就是赚到 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑…
❤5
📊 9条车评,综合分 9.4 好评 100% | 人照 9.0 | 服务 9.8 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 9.3 | 环境 9.6 👆 【点击查看评价】 【郑州学生会】 【编号】:#298 【花名】:#Liya国内首创抓龙筋 【课费】:#396P—#896 【车牌】:@zhengzhouzlj888 【位置】:#金水区 【硬件】: 国内首创抓龙筋里颜值手法统一在线的‼️ ✅ 正宗泰式手法,老师持证上岗‼️ ✅ 龙筋专业技术里,颜值最高的 ✅ 颜值柔式服务里,龙筋最专业 ✅ 前高潮喷开发几率同行内最高的 泰式(治疗级)专业抓龙筋; 泰国老师一对一培训 正宗皇室手法,有效提高男人(战斗力)‼️ 【详情】:柔式丝足,可解锁无距离接触(赠送原味丝袜+可录像收藏哦) 指定换装(多款cos服装可随意挑选) 泰国皇室抓龙筋、前列腺高…
❤4
📊 2条车评,综合分 8.2 好评 100% | 人照 9.5 | 服务 8.0 中评 0% | 颜值 9.0 | 态度 8.5 差评 0% | 身材 8.5 | 环境 6.0 👆 【点击查看评价】 【郑州学生会】 【编号】:#297 【花名】:#果果 【课费】:#500P,#1000PP 【车牌】:@guog78 【位置】:#管城区 【硬件】:妹妹人照9分,年龄18,A+B手感很好,小穴紧,水多,皮肤颜色正常,妹妹毛不多,蝴蝶户型,没有味道, 【详情】:#嫩妹 #管城 #态度车 #小萝莉 #舌吻 ,舔胸,做 【提示】妹妹很害羞爱笑不冷场,环境堪忧 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑换白嫖,现金奖励。
❤1
【郑州学生会】 【编号】:#296 【花名】:#棒棒糖 【课费】:#700P #1400PP 【车牌】:@bangbangtang0902 【位置】:#中原区区 【硬件】:身高164、体重47、罩杯B、皮肤白、水多、人工白虎 【详情】:#高新区 #可爱 #嫩妹 #验证车 #7P 【提示】老师人照差不多,长得很可爱,皮肤比较白,态度也不错,人工白虎很嫩 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg 【优惠活动】:凭约课记录,进👉精品群👈,可凭出击报告兑换白嫖,现金奖励。
❤3
Showing the 12 most recent of 47 posts we hold for @zzxshc. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
@zzxshbg · 23,72723 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,721,5753 postsLotteryBest Bot
@LotteryBestBot · 100,1812 postsLotteryBest抽奖导航
@lotterynav · 173,5081 post郑州白月光女仆92/交流社
@zz_nvpu24h · 25,0111 post可可优选00后高端丝足92(全裸半裸)
@zzkc55555 · 19,5451 post河南郑州学生会
@zzxshxc · 33,8301 post【学长优选】-郑州有马日记📖
@zzymrj · 13,2141 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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“郑州学生会车库” (@zzxshc), 36,431 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/zzxshc.
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.