老师艺名:#浅浅 所在位置:镇海区 万科城蓝色东方 视频验证:已验证 人照:9.6分 身材比例:高166cm 体重46kg 🐻D 消费价位:700p 1400pp 联系方式:@jwhaoif14 频道简介: @jklkkk5 😀😃😄😁😀😀😀

Channel
宁波夜楼
@NByiyeqing
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
27,120subscribers
-6,997 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 | -1002231608941 |
|---|---|
| Type | Channel |
| Username | @NByiyeqing |
| Description | 宁波出击 保你一夜欢乐! 放心修车,平台为你保驾护航! |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/NByiyeqing |
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 80% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 21:41 | 27,120 | -431 |
| 16 Sept 2026, 15:58 | 27,551 | -1,111 |
| 14 Sept 2026, 21:21 | 28,662 | -1,837 |
| 13 Sept 2026, 05:56 | 30,499 | -937 |
| 11 Sept 2026, 04:59 | 31,436 | -1,080 |
| 8 Sept 2026, 08:18 | 32,516 | -966 |
| 5 Sept 2026, 00:40 | 33,482 | -385 |
| 3 Sept 2026, 06:28 | 33,867 | -472 |
| 2 Sept 2026, 03:13 | 34,339 | -228 |
| 1 Sept 2026, 01:45 | 34,567 | -107 |
| 30 Aug 2026, 23:14 | 34,674 | -332 |
| 30 Aug 2026, 01:44 | 35,006 | -424 |
| 29 Aug 2026, 04:34 | 35,430 | -484 |
| 28 Aug 2026, 04:56 | 35,914 | -143 |
| 27 Aug 2026, 04:36 | 36,057 | -373 |
| 26 Aug 2026, 01:48 | 36,430 | -518 |
| 25 Aug 2026, 02:53 | 36,948 | -533 |
| 23 Aug 2026, 17:15 | 37,481 | -320 |
| 22 Aug 2026, 02:26 | 37,801 | +9,535 |
| 20 Aug 2026, 18:52 | 28,266 | first reading |
Engagement
49 posts held, back to 3 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.306%
- avg views ÷ 27,120 subscribers
- Avg views / post
- 83.0
- 23 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 23
- of 49 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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 49 (3 August 2026 – 22 September 2026) |
| Views total | 1,910 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 05:47 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
- 555
- Videos
- 241
- Links
- 44
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 4m 34s
- Average length
- 9s
Measured directly from 30 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.
Recent posts
老师艺名:#安安 所在位置:江北区 中铁青秀澜湾 视频验证:已验证 人照:9.5分 身材比例:高166cm 体重46kg 🐻D 消费价位:800p 1500pp 联系方式: @aani25i 频道简介: @dashishiya1 😀😃😄😁😀😀😀
老师艺名:#念念 所在位置:海曙区 迈水桥小区 视频验证:已验证 人照:9.6分 身材比例:168m 体重48kg 🐻D 消费价位:800p 1500pp 联系方式:@niannianjz 频道简介: @nianniangarden 😀😃😄😁😀😀😀
老师艺名:#安琪 所在位置:鄞州区 世纪花园a区 视频验证:已验证 人照:9.5分 身材比例:高163cm 体重45kg 🐻D 消费价位:900p 1700pp 联系方式: @mailaiwei 频道简介: @zgsh668 😀😃😄😁😀😀😀
老师艺名:#温宁 所在位置:#北仑区 锦港佳园 视频验证:已验证 人照:9.6分 身材比例:高166cm 体重48kg 🐻D 消费价位:800p 1600pp 联系方式:@tyiyto6terer5 频道简介: @wenbaobao1
老师艺名:#林月 所在位置: 海曙区 五江湾 视频验证:已验证 人照9.6分 身材比例:高173cm 体重48kg 🐻F 消费价位:1000P 1600PP 联系方式:@JJB8825 频道简介:@llycj088
老师艺名:#苏酥 所在位置:钟楼区 香江华廷 视频验证:已验证 人照:9.6分 身材比例:160m 体重42kg 🐻B+ 消费价位:900p 1600pp 联系方式:@shuhususuuwu 频道简介: @kuihj588 😀😃😄😁😀😀😀
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。 🔗 本频道专属邀请链接 https://t.me/sosoo?start=autopromo_-1002231608941_8081483557_28e8a7db
老师艺名:#希悦 所在位置:海曙区 五江湾 视频验证:已验证 人照:9.2分 身材比例:高165cm 体重45kg 🐻E 消费价位:900p 1700pp 联系方式: @xiye0123 频道简介: @xiyue8889990 😀😃😄😁😀😀😀
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老师艺名:#茜茜 老师地址:# 江北区 东鹰花园 老师三围:身高 165cm 体重:46kg 🐻天然B 人照对比:9.5分 联系方式:@wsqianqbb 频道简介:@qianqgade 消费价位:800p 1600pp 😀认证: 视频认证,押金已交
#频道互推 #相似推荐 ------------------------------ 📢 上海各区spa按摩红灯区 📢 上海艳遇 📢 杭州马家 📢 深圳98楼凤修车探花选妃 📢 柚子社(1v1/定制/举牌/原味)一对一 📢 汕头女园 📢 广州万花 📢 西安逍遥宫 📢 郑州金鸡 📢 【华尔街新闻】- 股票财经时讯 ------------------------------ ☁️ 互推入口:@sosoo
Showing the 12 most recent of 49 posts we hold for @NByiyeqing. 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.
@sooo · 541,1159 posts小白の学习日记
@BBSXB1 · 1,5432 posts安安的大宝贝👅
@dashishiya1 · 2,8242 posts浅浅的后花园🐰
@jklkkk5 · 3402 posts奈宝
@kjiu5584 · 4612 posts苏酥
@kuihj588 · 3182 posts茉茉❥花园
@momohua666888 · 3952 posts念念的后花园🙈🙈
@nianniangarden · 1452 posts🥤奶茶妹妹小念卿
@qingzi009 · 5962 postsSOSO搜搜
@sosoo · 452,0602 posts希悦的展览空间💦
@xiyue8889990 · 9382 posts安琪的秘密花园💋
@zgsh668 · 4412 posts子朵儿花园
@ziduobaobao · 2812 posts芙琳
@gcjghf8668 · 3391 post婀娜多汁小艺的诱惑
@gfgasdt · 1,2131 post茜茜の后花园
@qianqgade · 3161 postSOSO搜搜
@sososo · 573,4771 post甜心后花园
@tianxbaobei · 2,3301 post温宁老师课程表【莞式水磨】
@wenbaobao1 · 641 post熙熙一线天馒头妹妹(新频道🩷)
@XIXIyo06 · 7931 post小鱼
@xyulhtlnv · 4261 post普通生活小家🌺
@yiangmfjl · 1921 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“宁波夜楼” (@NByiyeqing), 27,120 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NByiyeqing.
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.