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Channel

郑州师范认证车库【修车】

@zzsf101

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

35,085subscribers

+1,436 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003098226785
TypeChannel
Username@zzsf101
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/zzsf101

Topic

Adult — 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 58% 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

33,53235,08534,308.56 August 2026 — 33,649 subscribers7 August 2026 — 33,661 subscribers8 August 2026 — 33,620 subscribers9 August 2026 — 33,638 subscribers10 August 2026 — 33,607 subscribers11 August 2026 — 33,600 subscribers12 August 2026 — 33,574 subscribers12 August 2026 — 33,571 subscribers14 August 2026 — 33,532 subscribers15 August 2026 — 33,568 subscribers17 August 2026 — 33,560 subscribers18 August 2026 — 33,558 subscribers19 August 2026 — 33,556 subscribers20 August 2026 — 33,573 subscribers21 August 2026 — 33,593 subscribers24 August 2026 — 34,016 subscribers25 August 2026 — 34,106 subscribers26 August 2026 — 34,197 subscribers27 August 2026 — 34,285 subscribers28 August 2026 — 34,402 subscribers29 August 2026 — 34,520 subscribers30 August 2026 — 34,505 subscribers31 August 2026 — 34,616 subscribers1 September 2026 — 34,623 subscribers2 September 2026 — 34,604 subscribers3 September 2026 — 34,647 subscribers5 September 2026 — 34,739 subscribers8 September 2026 — 35,047 subscribers11 September 2026 — 35,071 subscribers13 September 2026 — 35,026 subscribers14 September 2026 — 35,038 subscribers16 September 2026 — 35,085 subscribers6 August 202616 September 2026
32 measurements spanning 41 days, net +1,436. 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 33,299–35,318 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
16 Sept 2026, 18:4135,085+47
14 Sept 2026, 22:4135,038+12
13 Sept 2026, 11:5735,026-45
11 Sept 2026, 14:3635,071+24
8 Sept 2026, 22:1835,047+308
5 Sept 2026, 13:0034,739+92
3 Sept 2026, 16:2034,647+43
2 Sept 2026, 06:1634,604-19
1 Sept 2026, 09:1534,623+7
31 Aug 2026, 12:4634,616+111
30 Aug 2026, 09:4434,505-15
29 Aug 2026, 06:3434,520+118
28 Aug 2026, 05:5434,402+117
27 Aug 2026, 06:0734,285+88
26 Aug 2026, 08:2534,197+91
25 Aug 2026, 07:0334,106+90
24 Aug 2026, 06:5734,016+423
21 Aug 2026, 10:4833,593+20
20 Aug 2026, 11:4333,573+17
19 Aug 2026, 15:1233,556first reading

Engagement

80 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.21%
avg views ÷ 35,085 subscribers
Avg views / post
1,830
44 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
44
of 80 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 34 of 44 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 9 September 2026
Posts held80 (6 August 20269 September 2026)
Views total80,492
Reactions total97
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 01:48 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
4m 19s
Average length
12s

Measured directly from 22 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

218 reactions across 55 posts, in 6 distinct kinds. The most used accounts for 68.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14968.3%
💩5726.1%
👎52.29%
👍41.83%
😁20.917%
🔥10.459%

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 62 of the 80 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 218 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 80 most recent posts we hold, published 6 August 2026 to 9 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

9 Sept 2026, 18:43 UTC404 viewsread 10 September 2026
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【郑州师范老师验证榜】 【编号】#678 【花名】#健身教练 【车牌】@xiaojiux1 【地址】#东区 【标签】#管城 #少妇 #大长腿 #刚下海 #6p 【硬件】身高171,身材不错,B、条挺顺,正常肤色,下面挺紧。 【软件】 口活,做爱,舌吻,69,口砂,漫游活挺多 【课费】 #600/P 【验证】#已验证 【综合评分】通过软件评分9.2、硬件评分8.8,得出的综合评分9 【特别提示】少妇类型,身材好,奶头比较大,奶子软,真心可以一字马爱爱(这个一般人做不到)女上挺会的,天生炮架子,全程骚话不断,课表上有的都有,标准的服务车,有喜欢少妇服务车的可以放心冲。 【报告查阅】https://t.me/zzsf121

9 Sept 2026, 18:34 UTC405 views0 reactionsread 10 September 2026
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【郑州师范老师验证榜】 【编号】#677 【花名】#七喜 【车牌】@qixi1219 【地址】#东区 【标签】#东区 #嫩妹 #年龄22#🐻C挺立#600P#真69#温柔姿势配合,女友感实足 【硬件】身高166体重98罩杯C+、皮肤有丝滑,乳头粉小,非常挺拔,正常肤色,下面毛量少、粉嫩、特紧。 【软件】 陪浴,无t口,真69,kiss,🐍吻,老汉推车,阴夹,指滑胸滑,姿势配合,激情啪啪,不催不机车。 【课费】 #600P 1200PP 【验证】#已验证 验证报告 【综合评分】服务评分10,硬件评分9,综合评分9.5 【优惠】服务给力,情绪价值高 【特别提示】老师嫩美,🐻大,服务表都有,温柔体贴、听话配合,小区环境,幽静安全。 【报告查阅】https://t.me/zzsf121

9 Sept 2026, 05:53 UTC≈1,090 viewsread 10 September 2026
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📊 1条车评,综合分 8.7 好评 100% | 人照 8.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 7.0 | 环境 9.0 👆 【点击查看评价】 【郑州师范老师验证榜】 【编号】#676 【花名】#允儿 【车牌】@yuner181 【地址】#金水区 【标签】#金水区 #服务系 #颜值很高 #少妇 #身材一般, #服务很不错,人工白虎, #价格6p 【硬件】身高160左右,体重100左右,奶子一手刚好,人工白虎,颜值很不错 【软件】 服务很不错,陪浴,胸推课表有的都有 【课费】 老师课费如:#700/P 1300PP 【验证】#已验证 【综合评分】通过软件评分9、硬件评分8,得出的综合评分8.5 【特别提示】老师服务很不错,奶子一手刚好,颜值蛮高,,有点小肚子 【报告查阅】https://t.me/zzs

7 Sept 2026, 09:32 UTC≈2,000 views5 reactionsread 10 September 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 【郑州师范学院验证榜 】 【编号】 #675 【花名】 #郑州18-25岁女仆抓龙筋 【车牌】@xoshuangxiangBot 【地址】 #郑州全区 【标签】#抓龙筋 #鸳鸯浴# 半裸/全裸 /外派/留宿#前列腺高潮 #龙根龟责喷水#00后 【硬件】 女仆18-25岁与92抓龙筋鸳鸯浴 综合高品质馆,疲惫进来舒服出去! 【软件】 1,每天口令红包肯德基全家桶抽奖白嫖劵半价劵专车接送; 2,关注本群全方面服务,全城几十位小姐姐让您挑选 【课费】 399-899 【验证】#已验证 【综合评分】硬件得分9,软件得分9,综合评分9 【优惠 】: 【特别提示】 舌吻和还有其他要求,要和老师沟通,以免说

5

6 Sept 2026, 12:15 UTC≈2,250 views21 reactionsread 10 September 2026
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📊 6条车评,综合分 9.8 好评 100% | 人照 10.0 | 服务 9.7 中评 0% | 颜值 10.0 | 态度 9.5 差评 0% | 身材 9.5 | 环境 10.0 👆 【点击查看评价】 【郑州师范老师验证榜】 【编号】#674 【花名】#豆包 【车牌】 @doub090 【地址】#管城区 【标签】#管城区 #10P #嫩妹 #颜值高 #态度好 #摇摇车 #水多 【硬件】人照差距不大,身高一米六五左右,体重90左右,胸围有B,身材很匀称,没有纹身,毛量正常,皮肤正常黄皮 【软件】 颜值嫩妹,服务三件套,态度挺好,性格很好,没有高冷,女上很强,会夹会吸。 【课费】 #1000P #1800PP 【验证】#已验证 验证报告 【综合评分】通过软件评分9、硬件评分9,得出的综合评分9 【优惠】 【特别提示】好看,活好,身材匀称,嫩妹服务车,也不会催啥的,聊

💩147

6 Sept 2026, 07:41 UTC≈1,930 views2 reactionsread 9 September 2026
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📊 7条车评,综合分 8.4 好评 86% | 人照 8.8 | 服务 7.1 中评 0% | 颜值 8.8 | 态度 7.7 差评 14% | 身材 9.0 | 环境 8.8 👆 【点击查看评价】 【郑州师范老师验证榜】 【编号】#673 【花名】#小妮子 【车牌】@xionizi37636 【地址】#中原区 【标签】#中原区 #皮肤挺白 #嫩妹#172,腿长条顺 #服务热情,#嫩妹三件套 #6p #舌吻 【硬件】身高172、体重95、罩杯A,黑色长发、皮肤白皙紧致、下面颜色粉嫩且少毛,腿长 【软件】 老师性格比较内向温柔,嫩妹三件套,挺愿意去配合尝试,更多的服务需要大家去开发 【课费】 #600P #1000PP 【验证】#已验证 【综合评分】通过软件评分9、硬件评分9,得出的综合评分9 【特别提示】嫩妹三件套都有,真人比照片好看,服务挺热情,性格挺好,人瘦

2

6 Sept 2026, 05:14 UTC≈1,840 views3 reactionsread 9 September 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 【郑州师范老师验证榜】 【编号】#672 【花名】#露娜 【车牌】@luna2568 【地址】#管城区 【标签】#管城区#服务车 #胸大#体态匀称,该大的地方大 #服务车 #5p 【硬件】165、120、D杯、皮肤又白又滑、下面不是很浓密 【软件】 老师非常主动,会提供情绪价值,动作也多 【课费】 #500/P 【验证】#已验证 验证报告 【综合评分】通过软件评分、硬件评分得出的综合评分 【优惠】 【特别提示】闲来无事,看老师照片可以,直接出击。一开门老师非常温柔打招呼,简单聊了两句就去洗澡。过程中老师非常主动,也给情绪价值,同时有什么要求也都可以给老师提。很不错的一次出击。 【报告查阅】

3

6 Sept 2026, 04:49 UTC≈1,580 views4 reactionsread 8 September 2026
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📊 6条车评,综合分 9.1 好评 83% | 人照 8.5 | 服务 9.3 中评 17% | 颜值 8.7 | 态度 9.5 差评 0% | 身材 8.6 | 环境 9.8 👆 【点击查看评价】 【郑州师范老师验证榜】 【编号】#671 【花名】#暖暖 【车牌】@yuxuan520999 【地址】#管城 【标签】#管城#26 #性感御姐#身材好#大胸#服务好#态度好#毒龙 #爆菊花 【硬件】身高160、体重100左右、36B、紧、水 【软件】 服务好,听话,身材好,该有的服务都有 【课费】 #600/P 1100PP 【验证】#已验证 验证报告 【综合评分】通过软件评分9、硬件评分9、得出的综合评分9 【优惠】 【特别提示】课表上的内容都有,还可以体验更高端的,服务好,情绪价值到位,热情主动,不冷场 【报告查阅】https://t.me/zzsf121

4

6 Sept 2026, 04:15 UTC984 viewsread 7 September 2026
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📊 13条车评,综合分 9.8 好评 100% | 人照 9.6 | 服务 9.9 中评 0% | 颜值 9.8 | 态度 10.0 差评 0% | 身材 9.8 | 环境 9.8 👆 【点击查看评价】 【郑州师范验证榜】 【编号】 #670 【花名】 #辰冰 【车牌】 @cem9875 【地址】 #中原区 【标签】#sm #调教 #御姐 #反差 #服务车 【硬件】年龄27,身高165cm,体重46kg,罩杯C,短发,身材匀称,腿很长,玉足,皮肤光滑白皙。 【软件】 老师主打sm调教,课表里面的服务都有,道具很齐全,调情手法很温柔很到位,sm手法很专业,全程不冷场,时间内可出水两次。 【课费】500/600/800 可出水两次。 【验证】#已验证 【综合评分】通过软件评分9、硬件评分9,得出的综合评分9 【特别提示】没有口舌和爱爱,不同价位包含服务不同,丝足、

5 Sept 2026, 17:44 UTC458 viewsread 6 September 2026
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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_8324674617

5 Sept 2026, 17:44 UTC468 viewsread 6 September 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 【郑州师范老师验证榜】 【编号】#669 【花名】#多多 【车牌】@duoduo_1219 【地址】#东区 【标签】#东区#御姐#态度好#身材好#胸软#下面水多#位置安全#服务好 【硬件】身高170cm、体重55kg、罩杯E。 【软件】 陪洗、无套口、毒龙69、会所服务 【课费】 #600/p 1200/pp 【验证】#已验证 验证报告 【综合评分】通过软件评分9、硬件评分9、得出的综合评分9 【优惠】 【特别提示】人照八九分像,会所出身,服务态度和服务质量非常好,舔手指手掌脚趾脚掌一绝,有毒龙,能用道具,能喷水。 【报告查阅】https://t.me/zzsf121

3 Sept 2026, 16:11 UTC≈1,870 views2 reactionsread 6 September 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 【郑州师范老师验证榜】 【编号】#668 【花名】#子涵 【车牌】 @qqaing 【地址】#二七区 【标签】#二七区 #小乖可爱类型,#22岁 ,#嫩妹# 是个可爱邻家小妹#600p 【硬件】身高163,体重100斤左右 B罩杯粉色乳头,皮肤白光滑,户型小蝴蝶粉色包裹感很强,洞口紧致,毛毛很少, 【软件】 嫩妹三件套,有陪洗,69 无套口,性格开朗,话题很多 【课费】 #600p 1100pp 【验证】#已验证 【综合评分】通过软件评分9、硬件评分9得出的综合评分8.5 【优惠】 【特别提示】嫩妹,老师有纹身小乖可爱类型身高163左右,喜欢嫩妹精神小妹可以出击 【报告查阅】https:

2

Showing the 12 most recent of 80 posts we hold for @zzsf101. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 15 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“郑州师范认证车库【修车】” (@zzsf101), 35,085 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/zzsf101.

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.