【郑州茶楼每日开课老师轮播】 老师名称后面的数字为单P价格,本榜单整点时更新,打卡后将于下次更新时显示出勤,赶紧选一位喜爱的老师开始出击吧 🌟管城区: 💝 小艺 600 💝 诗妍 400 💝 昕月 500 💝 安艺 400 💝 孟颜 400 💝 婉君 400 💝 婉清 600 💝 一梵 600 💝 安安 600 💝 曼瑶 600 💝 小婉 700 💝 飘飘 600 💝 柳柳 700💝 小米 500💝 香奈儿 700 💝 猫姬娆 500 💝 九妖妖 600 💝 水蜜桃 600 💝 小蛋糕 800 💝 梨梨子 700 💝 小太阳 500 💝 葡萄抓龙筋 398 💝 抓龙筋可可 358 🌟二七区: 💝 阿棉 600 💝 十月 400 🌟金水区: 💝 青青 💝 白洁 💝 琳达 💝 舒淇 💝 小莫 💝 安迪 💝 菲菲 💝 懒懒 💝 小梦 💝 芽芽 💝 …

Channel
郑州茶楼老师榜
@zzcllla
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
43,548subscribers
+10,740 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002828197184 |
|---|---|
| Type | Channel |
| Username | @zzcllla |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 31 October 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 31 October 2026 |
| On Telegram | t.me/zzcllla |
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 67% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 04:37 | 43,548 | -259 |
| 30 Oct 2026, 07:59 | 43,807 | +13,674 |
| 29 Oct 2026, 05:37 | 30,133 | +6,347 |
| 28 Oct 2026, 01:18 | 23,786 | -259 |
| 26 Oct 2026, 22:29 | 24,045 | -337 |
| 25 Oct 2026, 22:39 | 24,382 | -167 |
| 24 Oct 2026, 19:27 | 24,549 | -283 |
| 23 Oct 2026, 20:07 | 24,832 | -207 |
| 22 Oct 2026, 20:18 | 25,039 | -359 |
| 21 Oct 2026, 14:47 | 25,398 | -194 |
| 20 Oct 2026, 14:38 | 25,592 | -432 |
| 19 Oct 2026, 13:31 | 26,024 | -288 |
| 18 Oct 2026, 12:20 | 26,312 | -169 |
| 17 Oct 2026, 13:46 | 26,481 | -524 |
| 16 Oct 2026, 10:28 | 27,005 | -93 |
| 15 Oct 2026, 10:01 | 27,098 | -387 |
| 14 Oct 2026, 12:19 | 27,485 | -492 |
| 13 Oct 2026, 03:00 | 27,977 | -1,365 |
| 8 Oct 2026, 21:37 | 29,342 | -478 |
| 4 Oct 2026, 14:39 | 29,820 | first reading |
Engagement
951 posts held, back to 7 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 289 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.905%
- avg views ÷ 43,548 subscribers
- Avg views / post
- 394
- 196 posts measured
- Reaction rate
- 0.205%
- reactions ÷ views · ER floor
- Posts in window
- 196
- of 951 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 49 of 196 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 951 (7 August 2026 – 31 October 2026) |
| Views total | 77,243 |
| Reactions total | 52 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Oct 2026, 13:34 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
- ≈6,400
- Videos
- ≈1,200
- Links
- ≈1,370
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1h 34m
- Average length
- 18s
Measured directly from 315 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
128 reactions across 88 posts, in 8 distinct kinds. The most used accounts for 76.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 98 | 76.6% | |
| 💩 | 19 | 14.8% | |
| 🤡 | 6 | 4.69% | |
| 🎉 | 1 | 0.781% | |
| 👀 | 1 | 0.781% | |
| 👎 | 1 | 0.781% | |
| 😁 | 1 | 0.781% | |
| 🤮 | 1 | 0.781% |
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 116 of the 951 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 128 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 951 most recent posts we hold, published 7 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.
Recent posts
🗂️ 3条车评,综合评分8.93 好评 66.7% |中评 33.3% |差评 0% 人照 8.5 |态度 9.67 |环境 9 🧸 老师名称: 静姐抓龙筋 📍 老师地区: 二七区 💰 服务价格: 398P PP 🏷 老师服务: #抓龙筋 🗝 老师标签: 👜 联系老师: 点击联系静姐抓龙筋 ☎️ 联系方式: 点击获取静姐抓龙筋联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
【郑州茶楼每日开课老师轮播】 老师名称后面的数字为单P价格,本榜单整点时更新,打卡后将于下次更新时显示出勤,赶紧选一位喜爱的老师开始出击吧 🌟管城区: 💝 小艺 600 💝 诗妍 400 💝 昕月 500 💝 安艺 400 💝 孟颜 400 💝 婉君 400 💝 婉清 600 💝 水蜜桃 600 💝 九妖妖 600 💝 香奈儿 700 💝 小太阳 500 💝 抓龙筋可可 358 🌟二七区: 🌟金水区: 💝 青青 💝 白洁 💝 琳达 💝 舒淇 💝 林乐一 💝 小妮子 🌟中原区: 💝 彤彤 💝 温妮 💝 小沫 🌟惠济区: 🌟郑州新区: 💝 若若 600 💝 依冉 600 💝 圆圆 500 💝 珍珍 700 💝 萌宝 600 🌟赞助商: 郑州商K摸摸唱 郑州YOYO私影女仆 国外优质资源 郑州荤场游戏ktv 郑州高端丝足变装92
🗂️ 0条车评,综合评分 好评 0% |中评 0% |差评 0% 人照 |态度 |环境 🧸 老师名称: 抓龙筋可可 📍 老师地区: 管城区 💰 服务价格: 358P PP 🏷 老师服务: #抓龙筋 🗝 老师标签: 👜 联系老师: 点击联系抓龙筋可可 ☎️ 联系方式: 点击获取抓龙筋可可联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
【郑州茶楼每日开课老师轮播】 老师名称后面的数字为单P价格,本榜单整点时更新,打卡后将于下次更新时显示出勤,赶紧选一位喜爱的老师开始出击吧 🌟管城区: 💝 柳柳 700 💝 昕月 500 💝 小艺 600 💝 孟颜 400 💝 安艺 400 💝 婉君 400 💝 婉清 600 💝 飘飘 600 💝 小婉 700 💝 诗妍 400 💝 一梵 600 💝 可可 600 💝 安安 600 💝 语茉 600 💝 小米 500 💝 小蛋糕 800 💝 猫姬娆 500 💝 香奈儿 700 💝 九妖妖 600 💝 水蜜桃 600 💝 小太阳 500 💝 葡萄抓龙筋 398 🌟二七区: 💝 十月 400 🌟金水区: 💝 青青 💝 白洁 💝 琳达 💝 菲菲 💝 懒懒 💝 芽芽 💝 桐桐 💝 安迪 💝 小梦 💝 小雅 💝 小莫 💝 林乐一 💝 小妮子 💝 小金鱼…
【郑州茶楼每日开课老师轮播】 老师名称后面的数字为单P价格,本榜单整点时更新,打卡后将于下次更新时显示出勤,赶紧选一位喜爱的老师开始出击吧 🌟管城区: 💝 柳柳 700 💝 昕月 500 💝 小艺 600 💝 孟颜 400 💝 安艺 400 💝 婉君 400 💝 婉清 600 💝 飘飘 600 💝 小婉 700 💝 小米 500 💝 诗妍 400 💝 一梵 600 💝 可可 600 💝 安安 600 💝 语茉 600 💝 小蛋糕 800 💝 猫姬娆 500 💝 香奈儿 700 💝 九妖妖 600 💝 水蜜桃 600 💝 小太阳 500 💝 葡萄抓龙筋 398 🌟二七区: 💝 十月 400 🌟金水区: 💝 青青 💝 白洁 💝 琳达 💝 菲菲 💝 懒懒 💝 芽芽 💝 桐桐 💝 安迪 💝 小莫 💝 小梦 💝 小雅 💝 林乐一 💝 小妮子 💝 小金鱼…
🗂️ 30条车评,综合评分9.4 好评 93.3% |中评 6.7% |差评 0% 人照 9.42 |态度 9.73 |环境 9.34 🧸 老师名称: 小沫 📍 老师地区: 中原区 💰 服务价格: 800P 1500PP 🏷 老师服务: #69 #角色扮演 #丝袜诱惑 #舌吻 #情趣诱惑 #制服诱惑 #水中箫 #鸳鸯浴 #胸推 #车震 #深喉 #调情 #足交 #口爆 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系小沫 ☎️ 联系方式: 点击获取小沫联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
❤1
【郑州茶楼每日开课老师轮播】 老师名称后面的数字为单P价格,本榜单整点时更新,打卡后将于下次更新时显示出勤,赶紧选一位喜爱的老师开始出击吧 🌟管城区: 💝 柳柳 700 💝 昕月 500 💝 小艺 600 💝 孟颜 400 💝 安艺 400 💝 婉君 400 💝 婉清 600 💝 飘飘 600 💝 小婉 700 💝 小米 500 💝 诗妍 400 💝 一梵 600 💝 可可 600 💝 小蛋糕 800 💝 猫姬娆 500 💝 香奈儿 700 💝 九妖妖 600 💝 水蜜桃 600 💝 小太阳 500 💝 葡萄抓龙筋 398 🌟二七区: 💝 十月 400 💝 阿棉 600 🌟金水区: 💝 青青 💝 白洁 💝 琳达 💝 菲菲 💝 懒懒 💝 芽芽 💝 桐桐 💝 安迪 💝 小莫 💝 小梦 💝 林乐一 💝 小妮子 💝 小金鱼 🌟中原区: 💝 果馨 💝 温妮 …
🗂️ 4条车评,综合评分9.36 好评 100% |中评 0% |差评 0% 人照 8.88 |态度 9.92 |环境 9.85 🧸 老师名称: 孟颜 📍 老师地区: 管城区 💰 服务价格: 400P 800PP 🏷 老师服务: #69 #吸蛋蛋 #舔奶头 #舌滑 #臀推 #鸳鸯浴 #胸推 #调情 #事后萧 #口爆 #无套口 #漫游 🗝 老师标签: #95 👜 联系老师: 点击联系孟颜 ☎️ 联系方式: 点击获取孟颜联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
🗂️ 0条车评,综合评分 好评 0% |中评 0% |差评 0% 人照 |态度 |环境 🧸 老师名称: 阿棉 📍 老师地区: 二七区 💰 服务价格: 600P 1100PP 🏷 老师服务: #鸳鸯浴 #胸推 #调情 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系阿棉 ☎️ 联系方式: 点击获取阿棉联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
🗂️ 1条车评,综合评分7.92 好评 0% |中评 100% |差评 0% 人照 8 |态度 8 |环境 8 🧸 老师名称: 小米 📍 老师地区: 管城区 💰 服务价格: 500P 1000PP 🏷 老师服务: #69 #吸蛋蛋 #过水吸皮 #舌吻 #指划 #无套口 #漫游 🗝 老师标签: #御姐 👜 联系老师: 点击联系小米 ☎️ 联系方式: 点击获取小米联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈
🗂️ 78条车评,综合评分9.38 好评 96.2% |中评 3.8% |差评 0% 人照 9.11 |态度 9.73 |环境 9.31 🧸 老师名称: 果馨 📍 老师地区: 中原区 💰 服务价格: 500P 1000PP 🏷 老师服务: #花式吹箫 #胸推 #深喉 #调情 #无套口 #漫游 🗝 老师标签: #御姐 👜 联系老师: 点击联系果馨 ☎️ 联系方式: 点击获取果馨联系方式 ✍️ 评价老师: https://t.me/zzclxe_bot?start=commentTeacher-TE176493019089 👉 点击进入主群 👈
Showing the 12 most recent of 951 posts we hold for @zzcllla. 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.
Posts edited after publishing
@zzcllla edited 5 posts 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
- 21 September 2026
- Most recent edit
- 18 October 2026
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 1 registered channel — 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.
@zzcllo · 50,164285 posts郑州YOYO私影女仆车评
@YOYOcheping · 1,5463 posts郑州•YOYO私影女仆交流群
@YOYOSiYing · 40,3233 posts郑州•YOYO私影女仆恋爱体验❤️
@YOYOsy01 · 60,4893 posts郑州00后高质量丝足92(全裸半裸)
@nuonuohemimi00 · 17,6792 posts可可优选00后高端丝足92(全裸半裸)
@zzkc55555 · 23,3902 posts郑州网红ktv游戏荤场天花板
@abssfffty · 561 post球透社
@qiutoushe · 1,2161 post深夜福利社
@shenfl · 2,0341 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 31 October 2026 — this entry's latest reading, not the date you are reading this.
“郑州茶楼老师榜” (@zzcllla), 43,548 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/zzcllla.
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.