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Channel

宁波老师榜单

@XZF_NBBD

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

40,095subscribers

+11,403 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003612985165
TypeChannel
Username@XZF_NBBD
Description上榜管理: @XZ_xiaozhang 榜单上的老师均已验证,优质老师触手可及。 无需预付,无需定金,课前可换,私下交易。 宁波上课交流: @XZF_NB 宁波出击报告: @XZF_NBCJBG 致富官方频道: @XZFGFPD
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live8 September 2026
Measurements held17
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/XZF_NBBD

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 73% 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.

Previous handles

@XZF_NBBD was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@ningbobangdan888
held 13 August 202613 August 2026

Growth

28,11740,09534,10613 August 2026 — 28,692 subscribers15 August 2026 — 28,617 subscribers16 August 2026 — 28,280 subscribers17 August 2026 — 28,117 subscribers24 August 2026 — 32,427 subscribers25 August 2026 — 32,412 subscribers26 August 2026 — 33,358 subscribers27 August 2026 — 33,290 subscribers28 August 2026 — 33,147 subscribers29 August 2026 — 32,980 subscribers30 August 2026 — 33,886 subscribers31 August 2026 — 34,863 subscribers1 September 2026 — 35,889 subscribers2 September 2026 — 36,855 subscribers3 September 2026 — 38,800 subscribers5 September 2026 — 39,912 subscribers8 September 2026 — 40,095 subscribers13 August 20268 September 2026
17 measurements spanning 26 days, net +11,403. 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 26,320–41,892 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 14:3840,095+183
5 Sept 2026, 10:0239,912+1,112
3 Sept 2026, 10:1338,800+1,945
2 Sept 2026, 05:1736,855+966
1 Sept 2026, 03:3535,889+1,026
31 Aug 2026, 04:2834,863+977
30 Aug 2026, 04:1333,886+906
29 Aug 2026, 01:5632,980-167
28 Aug 2026, 03:4233,147-143
27 Aug 2026, 00:0433,290-68
26 Aug 2026, 00:5233,358+946
25 Aug 2026, 02:3732,412-15
24 Aug 2026, 14:3032,427+4,310
17 Aug 2026, 17:3428,117-163
16 Aug 2026, 15:4328,280-337
15 Aug 2026, 01:4428,617-75
13 Aug 2026, 21:3528,692first reading

Engagement

38 posts held, back to 10 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 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.683%
avg views ÷ 40,095 subscribers
Avg views / post
274
36 posts measured
Reaction rate
0.219%
reactions ÷ views · ER floor
Posts in window
36
of 38 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 5 of 36 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 9 September 2026
Posts held38 (10 August 20269 September 2026)
Views total9,863
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 15:20 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
588
Videos
71
Links
177

Lifetime counters from Telegram’s own channel header, read 9 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
56s
Average length
9s

Measured directly from 6 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

5 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
480.0%
👏120.0%

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 5 of the 38 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 10 August 2026 to 9 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

9 Sept 2026, 15:00 UTC19 viewsread 9 September 2026

📢提醒各位同学: 本群上榜的老师,收取定金统一为50/100元。 如需上门服务,仅可在50/100定金基础上另加合理打车费用 请各位同学注意: 凡收取定金超过100元的老师,请勿私下预约 请大家提高警惕,保障自身权益,感谢配合!

8 Sept 2026, 15:00 UTC159 viewsread 9 September 2026

📢提醒各位同学: 本群上榜的老师,收取定金统一为50/100元。 如需上门服务,仅可在50/100定金基础上另加合理打车费用 请各位同学注意: 凡收取定金超过100元的老师,请勿私下预约 请大家提高警惕,保障自身权益,感谢配合!

8 Sept 2026, 09:31 UTC325 viewsread 9 September 2026
Photo

🏅🏅🏅主营宁波💋【小圈】💋【中圈】💋【大圈】💋【上门外卖】 全国小中大可安排 宁波 #SPA 92-93-95 宁波商务KTV海选美女 小圈600-1500p 中圈高端莞式2000pp---2500pp 大圈;25一课60分钟 普通拳涛;吹、推、做35分钟。高端莞式;90分钟两次,69,毒龙,口爆,鸳鸯浴,无套,三通,舌吻,丝袜,制服,深喉,角色扮演,SM,见到人满意付,主打00后,少妇,洋酒 预约联系✈️ 🥰🫱 @hd520368 限制🚫 @htwubot 宁波茶百道中大频道 https://t.me/hd5203688 小中大⭕️频道 https://t.me/wryuugv

8 Sept 2026, 08:42 UTC307 viewsread 9 September 2026
Photo

艺名:青青 芳龄:19 身材:167cm 49kg 胸器:B 课室:#海曙区 价格:500p 1000pp 联系:@qingqing6690 频道:https://t.me/qingqingbaobei99

7 Sept 2026, 15:00 UTC160 viewsread 8 September 2026

📢提醒各位同学: 本群上榜的老师,收取定金统一为50/100元。 如需上门服务,仅可在50/100定金基础上另加合理打车费用 请各位同学注意: 凡收取定金超过100元的老师,请勿私下预约 请大家提高警惕,保障自身权益,感谢配合!

6 Sept 2026, 15:00 UTC177 viewsread 7 September 2026

📢提醒各位同学: 本群上榜的老师,收取定金统一为50/100元。 如需上门服务,仅可在50/100定金基础上另加合理打车费用 请各位同学注意: 凡收取定金超过100元的老师,请勿私下预约 请大家提高警惕,保障自身权益,感谢配合!

4 Sept 2026, 11:14 UTC743 viewsread 9 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_7298976648

4 Sept 2026, 08:17 UTC670 views0 reactionsread 9 September 2026
Photo

艺名:茜茜 芳龄:18 身材:163cm 47kg 胸器:B 课室:#海曙 价格:700p 1300pp 联系:@xiaoxixiyaya 频道:https://t.me/xiaoxixiyayaya

4 Sept 2026, 06:46 UTC887 viewsread 9 September 2026
Photo

📊 0条车评,综合评分 给她写报告 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名:倩倩 芳龄:22 胸器:B+ 课室:#海曙区 课时:600/P 1200/PP 联系: @qianqianfuhao 频道: @qianqiangerenxiaowu XZF—宁波上课交流群

3 Sept 2026, 08:06 UTC754 views3 reactionsread 9 September 2026
Photo

艺名:小汤圆 芳龄:19 身材:165cm 47kg 胸器:B 课室:#鄞州 价格:600p 1200pp 联系:@xpssz778899 频道:https://t.me/xpssz777

3

2 Sept 2026, 14:55 UTC≈1,030 viewsread 9 September 2026
Photo

📊 1条车评,综合评分9.47 给她写报告 好评 100% |人照 9.3 |服务 9.4 中评 0% |颜值 9.5 |态度 9.6 差评 0% |身材 9.8 |环境 9.2 艺名:悦琳 芳龄:22 胸器:34c 课室:#鄞州区 课时:400/P 800/PP 联系: @yuelin668 频道: @yuelin1314 XZF—宁波上课交流群

2 Sept 2026, 09:36 UTC592 viewsread 8 September 2026
Forwarded from @XZFGFPD

【上课预约流程】 ❤️ 在老师榜单挑选心仪的老师,也可在榜单搜索【#地区 】即可查看地区老师。 💌 私信老师选择预约时间和地点,去到老师指定地点再询问老师房号。 📡 到达老师楼下后,老师会手机遥控对接上楼,找到指定房间手机询问,无需敲门。 🚹 见到老师,满意即刻交学费,放下书包开课,不满意说明理由可以转身。 🥂 正式上课,此处省略一万字......

Showing the 12 most recent of 38 posts we hold for @XZF_NBBD. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“宁波老师榜单” (@XZF_NBBD), 40,095 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/XZF_NBBD.

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.