Telegram RegisterThe public register of Telegram
Telegram profile photo for 郑州太阳城娱乐榜

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
TypeChannel
Username@ywtyc2
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live30 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.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

25,02130,74427,882.512 August 2026 — 29,623 subscribers12 August 2026 — 29,623 subscribers14 August 2026 — 29,477 subscribers16 August 2026 — 29,118 subscribers17 August 2026 — 28,934 subscribers18 August 2026 — 28,524 subscribers19 August 2026 — 28,467 subscribers20 August 2026 — 28,427 subscribers22 August 2026 — 28,304 subscribers23 August 2026 — 28,276 subscribers25 August 2026 — 28,159 subscribers26 August 2026 — 28,051 subscribers27 August 2026 — 27,776 subscribers28 August 2026 — 27,560 subscribers29 August 2026 — 27,319 subscribers30 August 2026 — 27,097 subscribers31 August 2026 — 26,991 subscribers1 September 2026 — 26,947 subscribers2 September 2026 — 26,870 subscribers3 September 2026 — 26,802 subscribers5 September 2026 — 26,747 subscribers8 September 2026 — 26,600 subscribers11 September 2026 — 26,391 subscribers13 September 2026 — 25,977 subscribers14 September 2026 — 25,864 subscribers16 September 2026 — 25,619 subscribers18 September 2026 — 25,464 subscribers25 September 2026 — 25,109 subscribers3 October 2026 — 30,537 subscribers8 October 2026 — 30,139 subscribers12 October 2026 — 25,743 subscribers14 October 2026 — 25,618 subscribers15 October 2026 — 25,461 subscribers16 October 2026 — 25,364 subscribers17 October 2026 — 25,196 subscribers18 October 2026 — 25,185 subscribers19 October 2026 — 25,137 subscribers20 October 2026 — 25,080 subscribers21 October 2026 — 25,021 subscribers22 October 2026 — 30,744 subscribers23 October 2026 — 30,626 subscribers24 October 2026 — 30,464 subscribers25 October 2026 — 30,345 subscribers26 October 2026 — 30,158 subscribers27 October 2026 — 30,067 subscribers28 October 2026 — 29,929 subscribers29 October 2026 — 29,765 subscribers30 October 2026 — 29,583 subscribers29,58312 August 202630 October 2026
48 measurements spanning 79 days, net -40. 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 24,163–31,602 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
30 Oct 2026, 11:1529,583-182
29 Oct 2026, 08:3629,765-164
28 Oct 2026, 10:0529,929-138
27 Oct 2026, 09:3130,067-91
26 Oct 2026, 08:3630,158-187
25 Oct 2026, 10:0630,345-119
24 Oct 2026, 13:3830,464-162
23 Oct 2026, 12:2530,626-118
22 Oct 2026, 11:1730,744+5,723
21 Oct 2026, 05:3125,021-59
20 Oct 2026, 05:4025,080-57
19 Oct 2026, 07:2125,137-48
18 Oct 2026, 09:4425,185-11
17 Oct 2026, 09:4725,196-168
16 Oct 2026, 09:4825,364-97
15 Oct 2026, 10:3925,461-157
14 Oct 2026, 11:5025,618-125
12 Oct 2026, 22:0925,743-4,396
8 Oct 2026, 11:5830,139-398
3 Oct 2026, 23:1930,537first 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 October 2026
Posts held32 (2 August 2026 – 28 October 2026)
Views total43,770
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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

28 Oct 2026, 09:04 UTC≈5,570 viewsread 30 October 2026
Photo

🫦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

25 Oct 2026, 06:11 UTC≈3,010 views0 reactionsread 30 October 2026
Photo

💋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

24 Oct 2026, 07:23 UTC≈2,770 viewsread 30 October 2026
Photo

💋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

21 Oct 2026, 05:26 UTC≈3,490 viewsread 30 October 2026
Photo

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

18 Oct 2026, 04:03 UTC≈3,230 viewsread 28 October 2026
Photo

💋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

16 Oct 2026, 05:48 UTC≈3,820 viewsread 25 October 2026
Photo

💋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

15 Oct 2026, 05:52 UTC≈3,480 viewsread 25 October 2026
Photo

🥰🥰#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

12 Oct 2026, 05:30 UTC≈2,970 viewsread 24 October 2026
Photo

💋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

9 Oct 2026, 05:30 UTC≈3,060 views1 reactionsread 20 October 2026
Photo

💋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

6 Oct 2026, 05:58 UTC≈3,120 views0 reactionsread 17 October 2026
Photo

💋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

6 Oct 2026, 05:14 UTC≈2,960 views0 reactionsread 15 October 2026
Photo

💋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

3 Oct 2026, 10:41 UTC≈3,310 viewsread 14 October 2026
Photo

💋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

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 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.