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Telegram profile photo for 宁波小木屋分享榜

Channel

宁波小木屋分享榜

@NBXMWBGJ

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

26,648subscribers

+1,494 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003083173117
TypeChannel
Username@NBXMWBGJ
Description(小木屋交流群): https://t.me/xiaomuwu88 (小木屋报告集): https://t.me/NBXMBGB (上榜联系): @Xiaohu333_bot [宁波小木屋]-Ningbo log cabin 有田有茶有歌,就是我理想的乌托邦。 他们说要像多吉平措那样,因为他像风一样自由。 诸公同好。
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live17 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/NBXMWBGJ

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 94% 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

24,65226,64825,65016 August 2026 — 25,154 subscribers16 August 2026 — 25,154 subscribers17 August 2026 — 25,229 subscribers18 August 2026 — 25,368 subscribers19 August 2026 — 25,529 subscribers20 August 2026 — 25,557 subscribers21 August 2026 — 25,591 subscribers22 August 2026 — 25,557 subscribers24 August 2026 — 25,512 subscribers25 August 2026 — 25,531 subscribers26 August 2026 — 25,525 subscribers27 August 2026 — 25,577 subscribers28 August 2026 — 25,618 subscribers29 August 2026 — 25,620 subscribers30 August 2026 — 25,651 subscribers31 August 2026 — 24,652 subscribers1 September 2026 — 24,741 subscribers2 September 2026 — 24,787 subscribers4 September 2026 — 24,829 subscribers6 September 2026 — 26,421 subscribers9 September 2026 — 26,617 subscribers12 September 2026 — 26,614 subscribers13 September 2026 — 26,550 subscribers15 September 2026 — 26,581 subscribers17 September 2026 — 26,648 subscribers16 August 202617 September 2026
25 measurements spanning 32 days, net +1,494. 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 24,353–26,947 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
17 Sept 2026, 16:5726,648+67
15 Sept 2026, 12:5526,581+31
13 Sept 2026, 19:5726,550-64
12 Sept 2026, 01:2126,614-3
9 Sept 2026, 15:3926,617+196
6 Sept 2026, 10:4126,421+1,592
4 Sept 2026, 01:1824,829+42
2 Sept 2026, 14:1824,787+46
1 Sept 2026, 14:1324,741+89
31 Aug 2026, 13:2624,652-999
30 Aug 2026, 12:4325,651+31
29 Aug 2026, 15:4625,620+2
28 Aug 2026, 12:5525,618+41
27 Aug 2026, 11:4525,577+52
26 Aug 2026, 08:2725,525-6
25 Aug 2026, 09:1425,531+19
24 Aug 2026, 07:5625,512-45
22 Aug 2026, 13:4325,557-34
21 Aug 2026, 05:5725,591+34
20 Aug 2026, 09:0525,557first reading

Engagement

75 posts held, back to 14 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.49%
avg views ÷ 26,648 subscribers
Avg views / post
2,000
46 posts measured
Reaction rate
0.087%
reactions ÷ views · ER floor
Posts in window
46
of 75 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 34 of 46 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 23 September 2026
Posts held75 (14 August 202623 September 2026)
Views total91,795
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 20:39 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
1,050
Videos
270
Links
257

Lifetime counters from Telegram’s own channel header, read 23 September 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
4m 28s
Average length
5s

Measured directly from 50 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

92 reactions across 45 posts, in 3 distinct kinds. The most used accounts for 97.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9097.8%
😁11.09%
🥰11.09%

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 58 of the 75 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 92 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 75 most recent posts we hold, published 14 August 2026 to 23 September 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

23 Sept 2026, 17:56 UTC97 viewsread 23 September 2026
Photo

🧚 艺名:晴天 🏩 位置:江北 💰 价格:600P/1100PP 🧘 身材:22岁/身高168cm/体重45kg/胸围C 🎭 服务:陪浴,Kiss(浅吻),指滑,调情 💌 电报:@qingtianwawaxixi 📮 频道:https://t.me/qingtianwawa1 📜 标签:御姐

23 Sept 2026, 16:39 UTC≈2,590 viewsread 23 September 2026
Photo

• 放下疲惫,遇见松弛 • 专业手法,温柔到心 • 今晚,把压力交给我们 • 从脚趾到头顶,彻底放松 • 不是普通按摩,是身心重启 • 忙碌一天,值得被好好对待

23 Sept 2026, 14:05 UTC608 views3 reactionsread 23 September 2026
Photo

🧚 艺名:嘟嘟 🏩 位置:高新 💰 价格:600P 🧘 身材:身高158cm/体重40kg/胸围34B 🎭 服务:无套👄,舌吻,69,陪浴,深喉,漫游 💌 电报:@ask699 📮 频道:https://t.me/ask899 📜 标签:御姐,69,舌吻

3

23 Sept 2026, 09:23 UTC≈1,030 views2 reactionsread 23 September 2026
Photo

🧚 艺名:欢欢 🏩 位置:海曙 💰 价格:800P 🧘 身材:28岁/身高162cm/体重50kg/胸围B+ 🎭 服务:鸳鸯浴,舌吻,69,制服,毒龙,胸推,吸皮,臀推 💌 电报:@xiaoyan1686 📮 频道:https://t.me/xiaoyan1686 📜 标签:御姐,服务系,毒龙,舌吻,69

2

22 Sept 2026, 11:35 UTC≈1,710 views0 reactionsread 23 September 2026
Photo

🧚 艺名:安然 🏩 位置:慈溪 💰 价格:1000P 🧘 身材:身高160Cm/体重46kg/胸围E 🎭 服务:69,制服,口爆,胸推,指滑,冰火,漫游 💌 电报:@hai16161 📮 频道:https://t.me/ccc16161 📜 标签:御姐,69

22 Sept 2026, 06:58 UTC≈1,720 views8 reactionsread 23 September 2026
Photo

🧚 艺名:小只 🏩 位置:鄞州 💰 价格:900P 🧘 身材:9S/身高155cm/体重38kg/胸围C+ 🎭 服务:无套👄,舌吻,69,制服,丝袜,陪浴,水中萧,口爆,胸推 💌 电报:@xiaozhiya2026 📮 频道:https://t.me/xiaozhiya0 📜 标签:嫩妹,舌吻,69,服务系

8

22 Sept 2026, 06:58 UTC≈4,440 viewsread 23 September 2026
Photo

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_568138812

21 Sept 2026, 03:58 UTC≈3,710 views2 reactionsread 23 September 2026
Photo

🎰 宁波白金瀚SPA中秋送白嫖福利啦! 📮 参与条件: 🎫 加入-宁波小木屋 └🎟️ 发送口令 🎫 加入-宁波小木屋分享榜 🎫 加入-宁波白金瀚 🎫 加入-宁波白金瀚spa全裸 🔑 抽奖口令: 抽奖 (👈点击复制) 🎁 奖品内容: 💰️ 店内消费白嫖券 x 1 💰️ 🧧50口令红包 x 3 💰️ 店内一百元抵扣券 x 5 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 本活动由宁波白金瀚全裸SPA( @Baijinhnb )赞助! 活动解释权归 @Baijinhnb 所有 📆 定时开奖 北京时间:2026年09月26日 11时52分 👉 点击参与抽奖 🎁 点击查看更多抽奖

2

20 Sept 2026, 15:48 UTC≈1,900 viewsread 23 September 2026
Photo

白金瀚莞式★半套★全裸5T 服务尺度天花板(远非92场所可比) 🔥 至尊享受💯帝王体验 🔥 👍 一对一模式💯莞式服务 👍 💎 项目众多“师”资雄厚 💎 🔣 莞式一对一 5T服务 🔣 😍 高素质 高颜值超年轻 😍 🈚️定金🈚️套路👍诚信靠谱 🏰环境私密舒适给您带来 最畅快的体验(超级隐私㊙️) 主打顶端的服务现场挑选模式 妹妹年纪99~07之间,可亲可摸可舔可柔;还可射在妹子身上 出水不限次数时间60分钟 服务流程: 吸皮过💦;漫游;🐍漫;👃息;毒🐲;💅滑;🐻推;🐍舔;👅蛋蛋;盘🐲绕;猴子偷🍑;海底捞🌙;蛟龙出海🐲(部分妹子有绝活,个人绝技,请自行开发)最后 胸推🐻 臀推🍑 毛推🐱 手推👋 四选一出货都想体验就和技师说好,避免时间不足玩的不尽兴服务时间60分钟出货不限次数,无限火力,发射了妹子继续服务(如需出2~3次请和提前妹子说明) 江北区599💰60分钟不限次数 799💰可泡澡(全裸4t) 海曙区699💰60分钟不限次数

19 Sept 2026, 15:50 UTC≈2,110 views1 reactionsread 23 September 2026
Photo

📣📣📣主营宁波📣📣📣 [大圈] 9️⃣8️⃣ [中圈] [小圈] 9️⃣5️⃣ [上门] 小圈:6p-10p服务:洗推口吹做35分钟🕰️ 中圈20-25pp高端莞式:👙鸳鸯 浴 🐍吻🌸SM 角色扮演 💖絲襪 :制服 吹箫 口爆 深喉 三通6️⃣9️⃣毒🐉 口爆 🥰🥰😍👉90分钟两💦👈 大圈外围:25p60分钟:可上门可代开:资料频道每天会更新: 慈溪余姚频道 https://t.me/ychzw66 鄞州海曙小圈 https://t.me/ningmengcha66 中大圈频道https://t.me/nbzdqzy88 客服联系: @nmc66: 双向联系: @jrg899bot 点击👆👆查看👆👆全区资料 (见面合适付)

1

19 Sept 2026, 08:20 UTC≈2,270 views2 reactionsread 23 September 2026
Photo

🧚 艺名:沫沫 🏩 位置:鄞州 💰 价格:500P/900PP 🧘 身材:26S/身高157cm/体重52kg/胸围36B 🎭 服务:无套👄,69,制服,丝袜,毒龙,胸推,漫游 💌 电报:未开课! 📮 频道: 📜 标签:御姐,毒龙,69

2

3 Sept 2026, 14:01 UTC180 viewsread 3 September 2026
Photo

🧚 艺名:UU 🏩 位置:鄞州 💰 价格:700P 🧘 身材:04年/身高163cm/体重50kg/胸围C 🎭 服务:无套吹,69,制服,陪浴,Kiss(浅吻),胸推 💌 电报:@uulai213 📮 频道:https://t.me/uu36843 📜 标签:嫩妹,69

Showing the 12 most recent of 75 posts we hold for @NBXMWBGJ. 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

@NBXMWBGJ edited 1 post 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
25 August 2026
Most recent edit
25 August 2026

Mentions

Named by 2 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“宁波小木屋分享榜” (@NBXMWBGJ), 26,648 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/NBXMWBGJ.

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.