Telegram RegisterThe public register of Telegram
Telegram profile photo for 郑州学生会车库

Channel

郑州学生会车库

@zzxshc

Has discussion group

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

43,290subscribers

+8,654 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
TypeChannel
Username@zzxshc
Description#郑州 #学生会 #嫩妹 #车库 #精品 群聊 https://t.me/zzxshxc 上榜联系 @Arima_King 郑重承诺 踩坑包陪
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live31 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.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 the other topics.

Growth

34,41843,29038,85414 August 2026 — 34,636 subscribers14 August 2026 — 34,636 subscribers15 August 2026 — 34,672 subscribers16 August 2026 — 34,419 subscribers17 August 2026 — 34,418 subscribers18 August 2026 — 34,502 subscribers19 August 2026 — 34,700 subscribers20 August 2026 — 34,909 subscribers22 August 2026 — 35,288 subscribers23 August 2026 — 35,241 subscribers25 August 2026 — 35,187 subscribers26 August 2026 — 35,287 subscribers27 August 2026 — 35,433 subscribers28 August 2026 — 35,446 subscribers29 August 2026 — 35,351 subscribers30 August 2026 — 35,287 subscribers31 August 2026 — 35,414 subscribers1 September 2026 — 35,394 subscribers2 September 2026 — 35,479 subscribers3 September 2026 — 35,596 subscribers5 September 2026 — 35,896 subscribers8 September 2026 — 36,279 subscribers11 September 2026 — 36,742 subscribers13 September 2026 — 36,427 subscribers14 September 2026 — 36,431 subscribers16 September 2026 — 36,384 subscribers18 September 2026 — 36,686 subscribers25 September 2026 — 37,807 subscribers4 October 2026 — 39,002 subscribers8 October 2026 — 39,398 subscribers13 October 2026 — 40,791 subscribers14 October 2026 — 40,913 subscribers15 October 2026 — 40,955 subscribers16 October 2026 — 41,053 subscribers17 October 2026 — 41,288 subscribers18 October 2026 — 41,506 subscribers19 October 2026 — 41,695 subscribers20 October 2026 — 41,809 subscribers21 October 2026 — 41,751 subscribers22 October 2026 — 41,800 subscribers24 October 2026 — 41,918 subscribers25 October 2026 — 42,057 subscribers26 October 2026 — 42,204 subscribers27 October 2026 — 42,460 subscribers28 October 2026 — 42,615 subscribers29 October 2026 — 43,038 subscribers30 October 2026 — 43,090 subscribers31 October 2026 — 43,290 subscribers14 August 202631 October 2026
48 measurements spanning 77 days, net +8,654. 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 33,087–44,621 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
31 Oct 2026, 01:5143,290+200
30 Oct 2026, 04:3143,090+52
29 Oct 2026, 05:2143,038+423
28 Oct 2026, 05:5942,615+155
27 Oct 2026, 09:1442,460+256
26 Oct 2026, 06:3442,204+147
25 Oct 2026, 03:0642,057+139
24 Oct 2026, 01:2741,918+118
22 Oct 2026, 23:4941,800+49
21 Oct 2026, 21:2141,751-58
20 Oct 2026, 18:0141,809+114
19 Oct 2026, 18:1641,695+189
18 Oct 2026, 18:1941,506+218
17 Oct 2026, 15:2141,288+235
16 Oct 2026, 13:5441,053+98
15 Oct 2026, 13:1640,955+42
14 Oct 2026, 16:0040,913+122
13 Oct 2026, 02:5040,791+1,393
8 Oct 2026, 19:3839,398+396
4 Oct 2026, 06:1939,002first reading

Engagement

128 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 139 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.86%
avg views ÷ 43,290 subscribers
Avg views / post
1,670
55 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
55
of 128 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 48 of 55 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 October 2026
Posts held128 (5 August 2026 – 31 October 2026)
Views total91,935
Reactions total133
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 12:17 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

Photos
925
Videos
138
Links
284

Lifetime counters from Telegram’s own channel header, read 31 October 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.

Video runtime
7m 10s
Average length
11s

Measured directly from 39 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

414 reactions across 110 posts, in 8 distinct kinds. The most used accounts for 80.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤33480.7%
💩6215.0%
👍71.69%
👏51.21%
👎20.483%
🤡20.483%
😁10.242%
🥰10.242%

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 114 of the 128 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 414 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 128 most recent posts we hold, published 5 August 2026 to 31 October 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
84
across the posts below
Posts paid on
36
of 128 we hold a reading for · 28%
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 128 most recent posts we hold for this entry, published 5 August 2026 to 31 October 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

31 Oct 2026, 05:08 UTC525 views2 reactions2 Starsread 31 October 2026
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📊 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】:#374 【花名】:#言 【课费】:#800P #1600PP 【车牌】:@yanYbaoBao 【位置】:#管城 【硬件】颜值身材无敌,长得很漂亮,嫩妹,身高170,体重100左右,模特身材皮肤好,小穴又紧水又多 【详情】#东区 #7P #嫩妹车 #高颜值 #大长腿 #甜妹 【提示】颜值简直无敌,有素颜视频,身高真实170,胸B,身材也非常棒,皮肤白嫩,陪浴,69,浅吻,800价格虽高但是质量超出这个价位,性价比很高,闭眼冲 【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…

❤2

30 Oct 2026, 07:06 UTC≈1,250 views7 reactions2 Starsread 31 October 2026
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📊 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】:#373 【花名】:#饱饱 【课费】:#500P #900PP 【车牌】:@gaosw777 【位置】:#金水区 【硬件】:人照九分,18岁,身材炮架身材,屁股大,嫩妹,胸型好,小穴很紧很湿润,皮肤光滑,毛量正常偏少,蝴蝶逼 【详情】#嫩妹 #中原区 #5p #态度车 #服务车 #大屁股 #三件套 #大蟒蛇 #舌吻 #情趣内衣 #丝袜制服#反差 #色情 #女友感#皮肤白 #脚控 【提示】小嫩妹,水多态度好,课表服务都很到位,炮架子 【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…

❤5👍2

30 Oct 2026, 04:12 UTC≈1,190 viewsread 31 October 2026
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30 Oct 2026, 04:12 UTC≈1,130 views1 reactions2 Starsread 31 October 2026
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【郑州学生会】 【编号】:#372 【花名】:泡泡糖 【课费】:#600P #1000PP 【车牌】:@paopao5186 【位置】:#管城区 【硬件】:妹妹人照8分,身材比例感觉中等,是,胸很软,穴紧水多,皮肤健康小麦色不黑,没痘痘,户型好看无味道。 【详情】:#嫩妹 #管城区 #6P #态度车 #大屁股 #三件套 #舌吻 #情趣内衣 #反差 【提示】老师服务非常好,口活一级棒。态度也很好很会找话不会冷场。 【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

30 Oct 2026, 03:36 UTC≈1,150 views2 reactionsread 31 October 2026
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📊 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】:#371 【花名】:#小梦 【课费】:#500p 【车牌】:@YY1010 【位置】:#金水区 【硬件】: 嫩妹、没有纹身、B罩杯(个人感觉应该比B大)、肤色正常小麦色、肚子上有点赘肉、身体很敏感、小穴很嫩,水还是比较多,身材小、手掌也小。 【详情】:#嫩妹 #金水区#5P #听话服务态度好 【提示】妹妹竟然是四川来的,刚来不久,服务比较生疏,但整体态度不错。狼友如果178往上的话感觉可以抱起来做的(≖֊≖),有助浴和一次性毛巾。口交、乳交感觉都不错,可惜没有69和女上位,小穴非常粉嫩,感觉可以调教调教。 【学生报告】: 报告一 报告二 【报告查看】: 【优惠活动…

❤2

30 Oct 2026, 03:35 UTC≈1,140 views1 reactionsread 31 October 2026
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📊 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】:#370 【花名】:#阿棉 【课费】:#600P #1100PP 【车牌】:@amian1688 【位置】:#二七区 【硬件】:妹妹人照8分,年龄22,身材比例:微微胖,160,52kg,有肉不胖,是嫩妹,胸D,手感软,小穴紧,皮肤光滑,无痘,纹身多,毛量正常,无异味 【详情】:#嫩妹 #二七区 #6P #态度车 #敏感车 #大屁股 #三件套 #态度好 #情趣内衣 #陪洗 【提示】新来郑州,态度不错,有陪洗,情趣内衣,配合度高,敏感不让吃奶,嫩妹 【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…

❤1

29 Oct 2026, 15:27 UTC≈1,380 views2 reactionsread 31 October 2026
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📊 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】:#369 【花名】:#管城抓龙筋 【课费】:#398 【车牌】:@zlj3191 【位置】:#管城区 【详情】:#抓龙筋 #前列腺按摩排液#体验前列腺高潮 #私密理疗加强增硬增粗 #龟头寸止延时脱敏 #三起三落焕发欲望 #古法宗筋疏通肾精 #丝足诱惑 #柔式 【提示】:调理早泄勃起功能障碍,提高睾丸活力和精力。 【学生报告】: 报告一 报告二 【报告查看】:https://t.me/zzxshbg

❤2

29 Oct 2026, 10:36 UTC≈1,290 views3 reactionsread 31 October 2026
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📊 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】:#368 【花名】:#苏千月 【课费】:#800P #1500PP 【车牌】:@sqy7070 【位置】:#中原区 【硬件】:巨巨巨好看的美女老师,20出头,168左右,身材有胸有屁股,腰细,而且敏感多汁,就是不耐桩。 【详情】:#嫩妹 #中原区 #8P #态度车 #颜值车 #大屁股 #三件套 【提示】颜值在线,目前个人玩过颜值天花板,穴浅,而且紧致,易出水,奶子挺拔,身材绝妙,闭眼冲。 【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

29 Oct 2026, 10:36 UTC736 viewsread 29 October 2026
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📊 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】:#367 【花名】:#圆圆 【课费】:比如#500P #900pp 【车牌】:@yybbw88 【位置】:#中原区 【硬件】:(老师的硬性条件)妹妹人照8.5分,颜值8.5 年龄18 bbw嫩妹 🐻c 软软的 头小又粉嫩 腿上有纹身 皮肤白嫩 毛多穴紧蝴蝶 【详情】:嫩妹 #中原区 #6P #态度车 #大屁股 #三件套 #舌吻 #bbw 【提示】人比照片好看 微胖嫩妹 颜值不低 胸大屁股大 态度好很配合 可🐍可69 【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…

29 Oct 2026, 03:26 UTC≈1,170 views0 reactionsread 29 October 2026
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📊 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】:#366 【花名】:#霞霞 【课费】:#600p 【车牌】:@xia12589 【位置】:#高新区 【硬件】: 嫩妹、没有纹身、B罩杯(个人感觉比B大)、肤色正常偏白、身体很敏感、穴很嫩很嫩 【详情】:#嫩妹 #高新区#6P #听话 【提示】川妹来的,刚做不久,服务比较生疏一点,但态度非常好,小学妹的感觉,助浴、口交、乳交感觉都不错,过程中非常听话,指哪打哪,奶子非常软(最近cj过最舒服的了),小穴非常粉嫩。总体来说服务到位、听话的乖乖妹,做起来非常舒服。 【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…

28 Oct 2026, 12:13 UTC≈1,420 views4 reactions3 Starsread 29 October 2026
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📊 1条车评,综合分 9.7 好评 100% | 人照 9.0 | 服务 10.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 10.0 | 环境 10.0 👆 【点击查看评价】 【郑州学生会】 【编号】:#365 【花名】:#安冉 【课费】:#700P #1300PP 【车牌】:@anranoio 【位置】:#东区 【硬件】人照一致,长得很漂亮,嫩妹,身高170,体重53左右,模特身材,小穴粉嫩无异味 【详情】#东区 #7P #嫩妹车 #高颜值 #大长腿 #甜妹 【提示】见面就一直笑盈盈的,长得很好看,颜值很高,服务也很好,陪浴,69,舌吻都有,7开价格算是天花板了,闭眼冲 【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

❤4

28 Oct 2026, 08:02 UTC≈1,420 views2 reactions3 Starsread 29 October 2026
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📊 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】:#364 【花名】:#涵涵 【课费】:#600P #1100PP 【车牌】:@zzxiaobudin 【位置】:#东区 【硬件】胸b,人照七八分,身高165,体重52左右 【详情】#东区 #6P #三件套 【提示】优势老师会跳舞,服务有陪洗,🐍💋做,态度也挺好。喜欢看舞蹈的快冲绝对不会后悔 【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

Showing the 12 most recent of 128 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.

Posts edited after publishing

@zzxshc edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
2 October 2026
Most recent edit
2 October 2026

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 11 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.

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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“郑州学生会车库” (@zzxshc), 43,290 subscribers as measured 31 October 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.