🔄昵称:#小月儿 #95 #半套 🏠地区:#金水区 🅿️课费:#400P 📱电报: @xiaoyueerzz 📮频道: @xyewxxj 🤖双向: @xyednp_bot 点击返回精选榜单 本频道主群: 郑州9598出击群

Channel
郑州老师娱乐资源收录榜
@zhengzhoushoulu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
61,557subscribers
+18,344 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002391957454 |
|---|---|
| Type | Channel |
| Username | @zhengzhoushoulu |
| Description | 靠谱商家和个人老师,不做任何推荐,只确保不是骗子。群组: https://t.me/zzcj9598 95出击报告: https://t.me/chujibaogao95 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/zhengzhoushoulu |
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 55% 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 |
|---|---|---|
| 8 Nov 2026, 02:21 | 61,557 | -636 |
| 7 Nov 2026, 00:19 | 62,193 | +33 |
| 5 Nov 2026, 22:01 | 62,160 | +190 |
| 4 Nov 2026, 23:51 | 61,970 | +102 |
| 4 Nov 2026, 01:20 | 61,868 | +82 |
| 3 Nov 2026, 02:16 | 61,786 | +279 |
| 1 Nov 2026, 23:31 | 61,507 | +263 |
| 31 Oct 2026, 23:56 | 61,244 | -1 |
| 31 Oct 2026, 00:06 | 61,245 | +94 |
| 29 Oct 2026, 21:36 | 61,151 | +80 |
| 28 Oct 2026, 21:48 | 61,071 | +137 |
| 27 Oct 2026, 23:01 | 60,934 | +85 |
| 26 Oct 2026, 20:46 | 60,849 | +197 |
| 25 Oct 2026, 17:40 | 60,652 | +16 |
| 24 Oct 2026, 20:27 | 60,636 | +258 |
| 23 Oct 2026, 23:27 | 60,378 | +64 |
| 22 Oct 2026, 20:10 | 60,314 | -34 |
| 21 Oct 2026, 14:58 | 60,348 | +193 |
| 20 Oct 2026, 14:50 | 60,155 | +215 |
| 19 Oct 2026, 12:27 | 59,940 | first reading |
Engagement
171 posts held, back to 8 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 181 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.49%
- avg views ÷ 61,557 subscribers
- Avg views / post
- 918
- 63 posts measured
- Reaction rate
- 0.108%
- reactions ÷ views · ER floor
- Posts in window
- 63
- of 171 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 37 of 63 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 171 (8 August 2026 – 8 November 2026) |
| Views total | 57,850 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 11:51 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
- ≈1,690
- Videos
- ≈188
- Links
- ≈452
Lifetime counters from Telegram’s own channel header, read 8 November 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
- 10m 50s
- Average length
- 10s
Measured directly from 65 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
179 reactions across 89 posts, in 6 distinct kinds. The most used accounts for 89.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 160 | 89.4% | |
| 🌚 | 5 | 2.79% | |
| 🤡 | 5 | 2.79% | |
| 👍 | 3 | 1.68% | |
| 🖕 | 3 | 1.68% | |
| 🤔 | 3 | 1.68% |
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 108 of the 171 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 179 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 171 most recent posts we hold, published 8 August 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 4 of 63 posts held from the last 30 days (6.35%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔄昵称:#甜甜 #98 #全套 🏠地区:#管城区 🅿️课费:#700P #1400PP 📱电报: @tianpep 📮频道: https://t.me/+MiknxBaCJ4xhZTBh 点击返回精选榜单 本频道主群:郑州9598出击群
🔄昵称:#安艺 #95 #半套 🏠地区:#管城区 🅿️课费:#400P 📱电报: @anyi589 📮频道: @anyi58999 🤖双向: @anyi5389_bot 点击返回精选榜单 本频道主群:郑州9598出击群
🔄昵称:#泡泡糖 #98 #全套 🏠地区:#管城区 🅿️课费:#600P #1000PP 📱电报: @paopao5186 📮频道: @paopaot55 🤖双向: @paopao666_bot 点击返回精选榜单 本频道主群:郑州9598出击群
❤2
🔄昵称:#曼瑶 #98 #全套 🏠地区:#管城区 🅿️课费:#600P #1200PP 📱电报: @saoman52 📮频道: @manyao0 🤖双向: @saoman52_bot 点击返回精选榜单 本频道主群: 郑州9598出击群
❤2
🔄昵称:#肉肉 #98 #全套 🏠地区:#南龙湖 🅿️课费:#500P #1000PP 📱电报: @rou9876 📮频道: @cbds85 🤖双向: @rourouw94_bot 点击返回精选榜单 本频道主群:郑州9598出击群
❤2
🔄昵称:#孟颜 #95 #半套 🏠地区:#管城区 🅿️课费:#400P 📱电报: @mengyan516 📮频道: @mengyan5166 🤖双向: @mengyan51666bot 点击返回精选榜单 本频道主群: 郑州9598出击群
👍2❤1
🔄昵称:#雨露 #95 #半套 🏠地区:#管城区 🅿️课费:#400P 📱电报: @zzyulu9511 📮频道: @zzyulu95 🤖双向: @zzyulu9511_bot 点击返回精选榜单 本频道主群: 郑州9598出击群
❤3
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_7167326405
🔄昵称:#云宝 #98 #全套 🏠地区:#中原区 🅿️课费:#400P 📱电报: @yunbaobaoai 📮频道: @xiaoyunbaobaoai 🤖双向: @yunbaobaodeaixixi_bot 点击返回精选榜单 本频道主群: 郑州9598出击群
❤5
🔄昵称:#奶牛 #98 #全套 🏠地区:#管城区 🅿️课费:#600P #1100PP 📱电报: @nainiu6668 📮频道: @nainiu521 🤖双向: @Nuan55778_Bot 返回精选榜单 本频道主群: 郑州9598出击群
❤2
🔄昵称:#青青 #98 #全套 🏠地区:#金水区 🅿️课费:#600P #1200PP 📱电报: @johnsonlinda0h629 📮频道: @dasfa13213 🤖双向: @dafiuhczlhh_bot 返回精选榜单 本频道主群: 郑州9598出击群
❤1
Showing the 12 most recent of 171 posts we hold for @zhengzhoushoulu. 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
@zhengzhoushoulu edited 4 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 October 2026
Posts recorded as deleted after publishing
We recorded 1 post on @zhengzhoushoulu as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 17 August 2026
- Most recent seen missing
- 17 August 2026
- Median time before seen missing
- 15 hours
- Seen missing in the last 30 days
- 0
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 4 registered channels — 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.
@zzcj9598 · 56,394150 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,513,29311 posts郑州95出击报告
@chujibaogao95 · 5,0284 posts肉肉的小房间
@cbds85 · 2,0603 posts郑州诗妍 D乳 莞式95💦
@shiyan131918 · 1,5433 posts小依依🏘
@yiyi3260 · 1,6533 posts郑州梦然 抓龙筋
@zzmr258 · 3,9423 posts魅语控射无限火力报告
@cby00917 · 2,1052 posts雪雪95莞式服务
@ggdxy555 · 1,5522 posts笑笑💋茶花谷
@guoguo095 · 2,6632 posts唤醒剧本·丝足·Sm
@huanxingSp001 · 1,7582 posts郑州唤醒剧本· 丝足·sm交流群
@Hxing001 · 8,6142 posts郑州金水区静怡
@JingYiXiaoHuaYuan · 1,4372 posts橘子的频道
@juzi0108 · 1,5362 posts郑州曼瑶的小骚窝
@manyao0 · 4,0802 posts郑州孟颜㊙️私生活
@mengyan5166 · 1,7912 posts郑州18-25岁女仆抓龙筋SPA馆😏群
@momo69ai · 2,1152 posts倩倩
@qianhvh22 · 4502 posts诗颖.175.大咪咪,(带教室)
@ssyying33 · 1,1382 posts文文 频道课表
@wwbbs33 · 3,7852 posts尤美的私密闺房课堂👄👄🔥
@youyomeimei · 3,6772 posts悦悦小窝
@yueyuezz520 · 3682 posts玉指天娇·Rr 4T专属交流群
@zzytkf02 · 1,8952 posts郑州玉指天娇半套spa
@zzyztj01 · 3,9652 posts
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
- 4
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 3
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@zhengzhoushoulu named 4 handles 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 5 posts, 28 August 2026 – 29 September 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 16 September 2026 – 16 September 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 5 September 2026 – 5 September 2026 · confirmed gone 23 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 18 August 2026 – 18 August 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“郑州老师娱乐资源收录榜” (@zhengzhoushoulu), 61,557 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/zhengzhoushoulu.
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.