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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

30,542subscribers

-2,266 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002828197184
TypeChannel
Username@zzcllla
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.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 why it has no browse page of its own yet.

Growth

26,67936,57531,6277 August 2026 — 32,808 subscribers8 August 2026 — 32,834 subscribers9 August 2026 — 32,833 subscribers10 August 2026 — 32,831 subscribers11 August 2026 — 32,854 subscribers12 August 2026 — 32,860 subscribers13 August 2026 — 32,641 subscribers15 August 2026 — 32,433 subscribers16 August 2026 — 32,334 subscribers17 August 2026 — 32,229 subscribers18 August 2026 — 31,994 subscribers19 August 2026 — 31,852 subscribers20 August 2026 — 31,723 subscribers22 August 2026 — 31,552 subscribers23 August 2026 — 31,315 subscribers25 August 2026 — 30,997 subscribers25 August 2026 — 30,749 subscribers27 August 2026 — 28,192 subscribers27 August 2026 — 28,025 subscribers29 August 2026 — 27,751 subscribers29 August 2026 — 27,664 subscribers30 August 2026 — 27,445 subscribers31 August 2026 — 27,313 subscribers1 September 2026 — 27,098 subscribers2 September 2026 — 26,863 subscribers4 September 2026 — 26,679 subscribers6 September 2026 — 36,575 subscribers10 September 2026 — 35,983 subscribers12 September 2026 — 35,599 subscribers13 September 2026 — 33,869 subscribers15 September 2026 — 33,408 subscribers17 September 2026 — 33,015 subscribers26 September 2026 — 30,542 subscribers30,5427 August 202626 September 2026
33 measurements spanning 49 days, net -2,266. 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 25,195–38,059 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 06:0030,542-2,473
17 Sept 2026, 10:1533,015-393
15 Sept 2026, 10:2033,408-461
13 Sept 2026, 22:0033,869-1,730
12 Sept 2026, 07:5835,599-384
10 Sept 2026, 03:2135,983-592
6 Sept 2026, 23:3836,575+9,896
4 Sept 2026, 05:5726,679-184
2 Sept 2026, 20:5926,863-235
1 Sept 2026, 17:1627,098-215
31 Aug 2026, 18:1527,313-132
30 Aug 2026, 17:3727,445-219
29 Aug 2026, 20:3827,664-87
29 Aug 2026, 00:0527,751-274
27 Aug 2026, 23:0428,025-167
27 Aug 2026, 02:3628,192-2,557
25 Aug 2026, 23:3530,749-248
25 Aug 2026, 02:4330,997-318
23 Aug 2026, 14:4331,315-237
22 Aug 2026, 04:1931,552first reading

Engagement

745 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 179 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.16%
avg views ÷ 30,542 subscribers
Avg views / post
355
121 posts measured
Reaction rate
0.247%
reactions ÷ views · ER floor
Posts in window
156
of 745 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 30 of 121 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 29 September 2026
Posts held745 (7 August 2026 – 29 September 2026)
Views total42,988
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 23:03 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
≈6,180
Videos
≈1,120
Links
≈1,310

Lifetime counters from Telegram’s own channel header, read 29 September 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
52m 44s
Average length
18s

Measured directly from 175 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

70 reactions across 48 posts, in 7 distinct kinds. The most used accounts for 81.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5781.4%
💩68.57%
🤡34.29%
🎉11.43%
👀11.43%
😁11.43%
🤮11.43%

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 745 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 70 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 745 most recent posts we hold, published 7 August 2026 to 29 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

29 Sept 2026, 23:00 UTC6 viewsread 29 September 2026
Video

【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: 💝 昕月 500 💝 诗妍 400 💝 人妻 400 💝 柳柳 700 🌟二七区: 💝 晴晴 600 🌟金水区: 💝 青青 💝 琳达 💝 舒淇 💝 蔡文姬 🌟中原区: 💝 温妮 🌟惠济区: 💝 知微 500 🌟郑州新区: 💝 羊羊 600 🌟赞助商: 郑州商K摸摸唱 郑州YOYO私影女仆 探梦93丝足 郑州硅胶娃娃体验馆 郑州正宗特色抓龙筋

29 Sept 2026, 15:35 UTC308 viewsread 29 September 2026
Video

【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: 💝 露露 400 💝 昕月 500 💝 诗妍 400 💝 可可 600 💝 希娃 800 💝 啵啵 700 💝 人妻 400 💝 柳柳 700 💝 淇淇 800 💝 语茉 600💝 小九 600💝 小太阳 500 💝 小柠檬 700 💝 小星星 600 💝 小幼辞 600 💝 葡萄抓龙筋 398 🌟二七区: 💝 十月 400 💝 安安 600 💝 晴晴 600 💝 静姐抓龙筋 398 🌟金水区: 💝 琳达 💝 青青 💝 懒懒 💝 饭饭 💝 舒淇 💝 诺诺 💝 蔡文姬 💝 小妮子 🌟中原区: 💝 珠珠 💝 小沫 💝 温妮 🌟惠济区: 💝 知微 500 💝 小铃 600 🌟郑州新区: 💝 若若…

29 Sept 2026, 08:53 UTC632 views0 reactionsread 29 September 2026
Photo

🗂️ 96条车评,综合评分9.42 好评 97.9% |中评 2.1% |差评 0% 人照 9.34 |态度 9.81 |环境 9.18 🧸 老师名称: 笑 📍 老师地区: 二七区 💰 服务价格: 600P 1100PP 🏷 老师服务: #丝袜诱惑 #毒龙 #情趣诱惑 #制服诱惑 #水中箫 #鸳鸯浴 #调情 #足交 #接吻 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系笑 ☎️ 联系方式: 点击获取笑联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

29 Sept 2026, 08:48 UTC596 views5 reactionsread 29 September 2026
Photo

🗂️ 1条车评,综合评分10 好评 100% |中评 0% |差评 0% 人照 10 |态度 10 |环境 10 🧸 老师名称: 诺诺 📍 老师地区: 金水区 💰 服务价格: 600P 1200PP 🏷 老师服务: #69 #吸蛋蛋 #舌吻 #鸳鸯浴 #深喉 #调情 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系诺诺 ☎️ 联系方式: 点击获取诺诺联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

❤5

29 Sept 2026, 08:43 UTC576 viewsread 29 September 2026
Photo

🗂️ 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: 夯爆 📍 老师地区: 金水区 💰 服务价格: 600P 1200PP 🏷 老师服务: #69 #口痧 #过水吸皮 #丝袜诱惑 #毒龙 #情趣诱惑 #水中箫 #鸳鸯浴 #深喉 #指划 #调情 #高跟鞋诱惑 #无套口 #漫游 🗝 老师标签: #御姐 👜 联系老师: 点击联系夯爆 ☎️ 联系方式: 点击获取夯爆联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

28 Sept 2026, 10:24 UTC≈1,040 views1 reactionsread 29 September 2026
Photo

🗂️ 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: 饭饭 📍 老师地区: 金水区 💰 服务价格: 600P 1100PP 🏷 老师服务: #丝袜诱惑 #舌吻 #制服诱惑 #鸳鸯浴 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系饭饭 ☎️ 联系方式: 点击获取饭饭联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

❤1

28 Sept 2026, 10:17 UTC777 viewsread 29 September 2026
Photo

🗂️ 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: 希娃 📍 老师地区: 管城区 💰 服务价格: 800P 1500PP 🏷 老师服务: #69 #吸蛋蛋 #过水吸皮 #丝袜诱惑 #毒龙 #舌吻 #情趣诱惑 #水中箫 #鸳鸯浴 #深喉 #指划 #口爆 #无套口 #漫游 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系希娃 ☎️ 联系方式: 点击获取希娃联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

28 Sept 2026, 09:22 UTC747 views1 reactionsread 29 September 2026
Photo

🗂️ 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: 书瑶 📍 老师地区: 中原区 💰 服务价格: 600P 1200PP 🏷 老师服务: #丝袜诱惑 #情趣诱惑 #制服诱惑 #鸳鸯浴 #指划 #调情 #高跟鞋诱惑 #接吻 #无套口 🗝 老师标签: #御姐 👜 联系老师: 点击联系书瑶 ☎️ 联系方式: 点击获取书瑶联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

❤1

28 Sept 2026, 08:21 UTC779 views1 reactionsread 29 September 2026
Photo

🗂️ 6条车评,综合评分8.64 好评 66.7% |中评 33.3% |差评 0% 人照 7.83 |态度 9.33 |环境 8.67 🧸 老师名称: 柳柳 📍 老师地区: 管城区 💰 服务价格: 700P 1400PP 🏷 老师服务: #吸蛋蛋 #丝袜诱惑 #情趣诱惑 #制服诱惑 #鸳鸯浴 #胸推 #无套口 🗝 老师标签: #嫩妹 👜 联系老师: 点击联系柳柳 ☎️ 联系方式: 点击获取柳柳联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

❤1

28 Sept 2026, 06:01 UTC109 viewsread 28 September 2026
Video

【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: 💝 露露 400 💝 昕月 500 💝 语茉 600 💝 诗妍 400 💝 人妻 400 💝 婉清 600 💝 小九 600 💝 晚禾 600 💝 淇淇 800 💝 番茄 400 💝 可可 600 💝 啵啵 700 💝 关晓彤 600 💝 小幼辞 600 💝 小太阳 500 💝 葡萄抓龙筋 398 🌟二七区: 💝 晴晴 600 💝 十月 400 💝 静姐抓龙筋 398 🌟金水区: 💝 琳达 💝 懒懒 💝 舒淇 💝 瑜言 💝 蔡文姬 💝 小妮子 🌟中原区: 💝 珠珠 💝 温妮 🌟惠济区: 💝 知微 500 🌟郑州新区: 💝 若若 600 💝 羊羊 600 🌟赞助商: 郑州商K摸摸唱 郑州YOY…

27 Sept 2026, 18:01 UTC41 viewsread 27 September 2026
Video

【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: 💝 婉清 600 💝 倩倩 500 💝 可可 600 💝 小m 600 💝 啵啵 700 💝 露露 400 💝 昕月 500 💝 语茉 600 💝 诗妍 400 💝 人妻 400💝 晚禾 600💝 小柠檬 700 💝 小太阳 500 💝 小星星 600 💝 小幼辞 600 💝 关晓彤 600 💝 葡萄抓龙筋 398 🌟二七区: 💝 十月 400 💝 安安 600 💝 晴晴 600 💝 静姐抓龙筋 398 🌟金水区: 💝 瑜言 💝 小雨 💝 琳达 💝 懒懒 💝 舒淇 💝 小妮子 💝 蔡文姬 🌟中原区: 💝 果馨 💝 珠珠 💝 温妮 🌟惠济区: 💝 奶霸 400💝 知微 500💝 泡泡糖 400 🌟郑州新区: 💝 汐汐 600 💝…

27 Sept 2026, 14:25 UTC670 viewsread 28 September 2026
Photo

🗂️ 8条车评,综合评分9.22 好评 85.7% |中评 14.3% |差评 0% 人照 9.14 |态度 9.29 |环境 9.36 🧸 老师名称: 语茉 📍 老师地区: 管城区 💰 服务价格: 600P 1100PP 🏷 老师服务: #吸蛋蛋 #过水吸皮 #花式吹箫 #丝袜诱惑 #舌滑 #双飞 #情趣诱惑 #深喉 #指划 #调情 #无套口 #漫游 🗝 老师标签: #御姐 👜 联系老师: 点击联系语茉 ☎️ 联系方式: 点击获取语茉联系方式 ✍️ 评价老师: 点击此处评价该老师 👉 点击进入主群 👈

Showing the 12 most recent of 745 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 2 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
27 September 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.

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

“郑州茶楼老师榜” (@zzcllla), 30,542 subscribers as measured 26 September 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.