🫦艺名:笑笑 🫦预约: @xxiao095 🫦定位:郑州金水凤凰城 🫦课费:380 /680 🫦认证:已认证 🫦双向机器人:@xxiao820_bot 🫦频道:https://t.me/xxiao0095 🫦交流群:https://t.me/guoguo903 #本群长驻老师

Channel
郑州太阳城娱乐榜
@ywtyc2
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
29,583subscribers
-40 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002151315781 |
|---|---|
| Type | Channel |
| Username | @ywtyc2 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 30 October 2026 |
| On Telegram | t.me/ywtyc2 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 30 Oct 2026, 11:15 | 29,583 | -182 |
| 29 Oct 2026, 08:36 | 29,765 | -164 |
| 28 Oct 2026, 10:05 | 29,929 | -138 |
| 27 Oct 2026, 09:31 | 30,067 | -91 |
| 26 Oct 2026, 08:36 | 30,158 | -187 |
| 25 Oct 2026, 10:06 | 30,345 | -119 |
| 24 Oct 2026, 13:38 | 30,464 | -162 |
| 23 Oct 2026, 12:25 | 30,626 | -118 |
| 22 Oct 2026, 11:17 | 30,744 | +5,723 |
| 21 Oct 2026, 05:31 | 25,021 | -59 |
| 20 Oct 2026, 05:40 | 25,080 | -57 |
| 19 Oct 2026, 07:21 | 25,137 | -48 |
| 18 Oct 2026, 09:44 | 25,185 | -11 |
| 17 Oct 2026, 09:47 | 25,196 | -168 |
| 16 Oct 2026, 09:48 | 25,364 | -97 |
| 15 Oct 2026, 10:39 | 25,461 | -157 |
| 14 Oct 2026, 11:50 | 25,618 | -125 |
| 12 Oct 2026, 22:09 | 25,743 | -4,396 |
| 8 Oct 2026, 11:58 | 30,139 | -398 |
| 3 Oct 2026, 23:19 | 30,537 | first reading |
Engagement
32 posts held, back to 2 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 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.4%
- avg views ÷ 29,583 subscribers
- Avg views / post
- 3,370
- 13 posts measured
- Reaction rate
- 0.008%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 32 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 4 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 October 2026 |
|---|---|
| Posts held | 32 (2 August 2026 – 28 October 2026) |
| Views total | 43,770 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 10:21 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
- 44s
- Average length
- 6s
Measured directly from 7 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 9 of the 32 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 2 August 2026 to 28 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
💋名字: #那只🐱 #已认证 🗺地区: #郑州 #金水区 💸价格:700P —1300PP 💬资料:年龄21 身高166 体重44 🐻B 🚀联系: @Hesham20005 👀频道: https://t.me/shally3168 🎀标签: #舌吻 #无套口 #69 #丝袜高跟鞋 #情趣制服诱惑 #各种姿势
💋名字: #一梵 #已认证 🗺地区: #郑州 #城管区 💸价格:600P—1000PP 🚀联系: @YiFanwoai 👀频道: https://t.me/yifandemimihua12345 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
梦梦23岁身高/165• 𝐖𝐞𝐢𝐠𝐡𝐭体重/40kg • 𝐁𝐮𝐬𝐭胸围/C粉白皮 S曲线 筷子腿 蚂蚁腰 完美比例 外表清纯 🛏️上热情奔放极度诱惑 反差感满满 极度敏感易湿 待客如初恋 合作必选款宝藏女孩 无套🌬️🐍吻 制服诱惑 黑丝 照片均为本人生活照 P:700 40分钟 PP:1300 80分钟 包时1200两个小时起 可接包夜提前预约 需要私聊 上门PP起 路费100 🈲无套🈲变态🈲喝酒🈲桩基 安全起见自备现金 私聊:@MengMeng2025 频道:https://t.me/mengmeng2010 双向:@Meng202526Bot
💋名字: #佳妮 #已认证 🗺地区: #郑州 #金水 💸价格:700P—1400PP 🚀联系: @jiani558 👀频道: https://t.me/hxhdjsjkskskak 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
💋名字: #朵朵 #已认证 🗺地区: #郑州 #城管区 💸价格:600P —1200PP 💬资料: 身高170 年龄26 体重48GK 🐻B 🚀联系: @zzduoduo 👀频道:https://t.me/zzduoduoxiaoketang 机器人:@zzduoduozhuli_bot 🎀标签: #陪浴 #🐻推指滑 #无套口 #制服 #69 #舌吻 #深喉 #舌尖漫游 #角色扮演 #高度配合
🥰🥰#上半果#全场海选 三推 #店名:#河南郑州 坐标:#全城 价格:#599元 类型:#海选 ⭐️五星装修 两千多平大店 环境好 全场大海选模式 每天出勤30➕ 主打03 05后 模特小网红 空姐车模 大学生大胸 A4腰 蜜桃臀 筷子腿 ⭐️无套路 不办卡 没有任何隐形消费 先体验后买单 用心做口碑 安全 稳定 可靠超值。 💎唯一客服: @zzximu 💎选妃频道:https://t.me/ximuroushi 💎双向解除: @xiaotingtingbotbot
💋名字: #苏苏 #已认证 🗺地区: #郑州 #金水区 💸价格:600P—1100PP 🚀联系: @aiwo520131 👀频道: https://t.me/aiwo5201319 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
💋名字: #圆圆 #已认证 🗺地区: #郑州 #金水 💸价格:700P—1400PP 🚀联系: @yuanyuan2536 👀频道: https://t.me/+uTJKeRCj3ZhkY2Vh 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
❤1
💋名字: #知念日式服务 #已认证 🗺地区: #郑州 #城管区 💸价格:600P —1100PP 💬资料: 身高160 体重45KG 🐻B 🚀联系: @zhinian3310 👀频道: https://t.me/zhinian8990 机器人:@zhinian121_bot 🎀标签: #详细服务内容看课表
💋名字: #小珍 #已认证 🗺地区: #郑州 #金水区 💸价格:800P—1500PP 🚀联系: @xxn985 👀频道: https://t.me/xxn863 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
💋名字: #米朵 #已认证 🗺地区: #郑州 #东区 💸价格:700P—1300PP 💬资料:年龄22 身高170 体重49KG 🚀联系: @miduo234 👀频道: https://t.me/miduoxiaoxiaojia 机器人:https://t.me/miduox1221_bot 🎀标签: #AB面调情 #无套吹箫 #指滑 #漫游 #🐻推 #双龙戏珠 #环游刮痧 #舔奶头 #舔蛋蛋 #69 #可车震
Showing the 12 most recent of 32 posts we hold for @ywtyc2. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@shally3168 · 3,6123 posts莞式服务-苏苏小室
@aiwo5201319 · 1,1372 posts茶花谷💋金水交流群
@guoguo903 · 1,7802 posts郑州诗妍 D乳 莞式95💦
@shiyan131918 · 1,5172 posts佩佩的男神聚集地
@baobeiya66 · 1,6891 post大圣资源共享🌏
@datgzs · 82,0001 post笑笑💋茶花谷
@guoguo095 · 2,6781 post佳妮的朋友圈
@hxhdjsjkskskak · 131 post梦梦的聊天群
@mengmeng2010 · 301 post米朵的小屋
@miduoxiaoxiaojia · 1,7011 post清欢🍓的个人空间
@naimei98 · 5431 post知知小窝
@x18190 · 51 post阳阳日记本
@xiaoyan02111 · 2,3571 post小鱼的朋友圈
@xiaoyuer778878 · 2921 post🍭香奈儿🌸花园(人照不符赔路费)
@xiaoyuhushi · 1,5871 post郑州柔式助浴spa·熙沐馆
@ximuroushi · 2251 post金水笑笑&茶花谷
@xxiao0095 · 2,0891 post08届嫩妹服务天花板
@xxn863 · 2531 post小的频道
@yucun0 · 2651 postyyyy168
@yyyyyy1681688 · 1751 post多多相册
@zydsdd · 1,8861 post郑州朵朵小课堂
@zzduoduoxiaoketang · 1171 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@ywtyc2 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 20 October 2026 – 20 October 2026
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 30 October 2026 — this entry's latest reading, not the date you are reading this.
“郑州太阳城娱乐榜” (@ywtyc2), 29,583 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/ywtyc2.
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.