🟡昵称: 米朵 🕐地区:#东区 🤖双向:@miduox1221_bot 🚀电报:@miduo234 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #禁收定金和没见人就给课费 #老师狼友请看下方评论区⬇️

Channel
郑州比亚迪榜上资源
@zz8989876
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
24,128subscribers
-11,397 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002428529538 |
|---|---|
| Type | Channel |
| Username | @zz8989876 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 46 |
| Confirmed unchanged | 1 time, most recently 30 October 2026 |
| On Telegram | t.me/zz8989876 |
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 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, 11:49 | 24,128 | -134 |
| 29 Oct 2026, 14:06 | 24,262 | -48 |
| 28 Oct 2026, 16:48 | 24,310 | -82 |
| 27 Oct 2026, 17:32 | 24,392 | -112 |
| 26 Oct 2026, 15:56 | 24,504 | -146 |
| 25 Oct 2026, 18:38 | 24,650 | -40 |
| 24 Oct 2026, 18:08 | 24,690 | -122 |
| 23 Oct 2026, 19:46 | 24,812 | -60 |
| 22 Oct 2026, 22:50 | 24,872 | -71 |
| 21 Oct 2026, 22:36 | 24,943 | -25 |
| 20 Oct 2026, 15:04 | 24,968 | -16 |
| 19 Oct 2026, 12:35 | 24,984 | -47 |
| 18 Oct 2026, 11:55 | 25,031 | -39 |
| 17 Oct 2026, 14:42 | 25,070 | -113 |
| 16 Oct 2026, 17:28 | 25,183 | -92 |
| 15 Oct 2026, 15:38 | 25,275 | -122 |
| 14 Oct 2026, 18:46 | 25,397 | -147 |
| 13 Oct 2026, 06:55 | 25,544 | -212 |
| 9 Oct 2026, 02:58 | 25,756 | -600 |
| 4 Oct 2026, 18:01 | 26,356 | first reading |
Engagement
34 posts held, back to 28 July 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 119 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.1%
- avg views ÷ 24,128 subscribers
- Avg views / post
- 2,910
- 11 posts measured
- Reaction rate
- 0.03%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 34 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 6 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 October 2026 |
|---|---|
| Posts held | 34 (28 July 2026 – 29 October 2026) |
| Views total | 32,035 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 09:13 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
- 3m 15s
- Average length
- 10s
Measured directly from 20 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
22 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 95.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 95.5% | |
| 👍 | 1 | 4.55% |
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 15 of the 34 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 28 July 2026 to 29 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
🟡昵称:#素素 🕐地区:#郑州 #金水 🤖双向:@susu558bot 🚀电报:@susu850 🔔频道:频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证
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_6775955552
🟡昵称:#佳佳 🕐地区:#金水区 🤖双向: @lingling8080_bot 🚀电报:@Fchjvj 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
🟡昵称 :#丹丹 🕐地区: #管城区 🤖双向:@tingtingz95_bot 🚀电报:@dandan95z 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
❤1
🟡昵称:#小萱 🕐地区:#金水区 🤖双向: @xiaoxuanxbot 🚀电报:@xiaoxx35 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
❤1
🟡昵称: #昭昭 🕐地区:#高新区 🤖双向: @woshixiaozhaozhao_bot 🚀电报:@shizhaoo 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
🏆郑州98莞式全套私密会所🏆 郑州独家直营💎性价比天花板 每天在岗数名💎颜值嫩妹可选 无定金无套路💎主打诚信经营 ✅停车方便 明码标价 安全靠谱✅ 💓💓服务项目💓💓 💖莞式全套一条龙激情服务💖 🔴美女助浴🔴泡沫风情🔴漫水吹箫 🟢指尖漫游🟢波涛汹涌🟢臀臀欲动 🔴蜻蜓点水🔴过水漫游🔴舌尖漫游 🟢花式毒龙🟢海底捞月🟢跪式吹箫 🔴激情啪啪🔴姿势配合🔴激情释放 🎁各种服务需求妹妹都会配合满足🎁 🎁10多种情绪 制服 丝袜 任君挑选🎁 🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽 🌈A套餐600简单服务一次40分钟 🌈B套餐800全套服务一次60分钟 🌈C套餐1200全套服务两次80分钟 🌈D套餐1800全套服务不限次120分钟 🌈E套餐 包时包夜⏩根据时间⏩商量议价 诚信经营✅无办卡 ✅无套路 ✅消费自由 💖💖💖预约流程💖💖💖 🔔🔔🔔会所营业区域如下🔔🔔🔔 1️⃣中原区2️⃣金水区3️⃣…
🟡昵称: 九妖妖 🕐地区:#管城区 🤖双向:@wwbb911bot 🚀电报:@wwbb911 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 🔔频道: 频道点击浏览👀 #老师狼友请看下方评论区⬇️
❤1
业界NO.1 🟡花名:乔欢 🕐位置:#管城区 🤖双向:@xiaoxiao9885Bot 🚀电报:@xiaoxiao9841 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 你的美有厚度,岁月沉淀赋予了你别样韵味,历经生活依旧光彩动人,时光没有消磨,反倒加成你的魅力。 🔰#点击下方查看详情⬇️
❤3
🟡昵称:果馨 🕐地区:中原区 🚀双向机器人: @gger1Bot 🚀电报: @gger168 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 与生俱来的柔和感包裹着你,和你的样貌相辅相成,外在好看,内在温润,内外合一才是最高级的美丽。 🔰#点击下方查看详情⬇️
🟡昵称: #洋洋 🕐地区:#东区 🤖双向:@Miaomiao600_bot 🚀电报:@Yangyangdehao0 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
Showing the 12 most recent of 34 posts we hold for @zz8989876. 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
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 2,178,4238 posts米朵的小屋
@miduoxiaoxiaojia · 1,7012 posts九妖妖频道课表❤️
@ssyy0911 · 5,2582 posts水蜜桃🍑 频道课表(已上榜)
@xxg888x · 4,2032 posts郑州商务KTV摸摸唱
@zzktv001 · 8,3472 posts果馨❤️小屋
@guoer1168 · 1,8841 post全国大圈极品聚集总部
@hnanjingjujidi · 5,2421 post萌萌
@man768768 · 1,4101 post倩倩
@qianhvh22 · 4541 post小太阳🌞频道课表
@tai153 · 5,6331 post雯雯私人空间
@wenww98 · 1021 post乔欢(乔欣)的小屋
@xiaoxiao9842 · 7841 post全国林妹大圈⭕️
@yewuzuvip · 11,2921 post盼盼的小花园
@zhengzhou02 · 1,0801 post郑州98莞式全套会所选妃相册频道
@ZZQLXC222 · 5,8271 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
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@zz8989876 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 4 posts, 18 August 2026 – 9 September 2026 · confirmed gone 13 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
“郑州比亚迪榜上资源” (@zz8989876), 24,128 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/zz8989876.
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.