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Channel

宁波大学-在榜老师

@ningbolaoshi

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry

34,634subscribers

+11,904 since we began measuring on 15 August 2026

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

Register entry

Telegram ID-1001328734285
TypeChannel
Username@ningbolaoshi
Description【老师报告】: @ningbobaogao 【宁波主群】: @ningbodaxue 【联系管理】: @flsj006_bot
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live31 October 2026
Measurements held47
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/ningbolaoshi

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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

22,72834,63428,68115 August 2026 — 22,730 subscribers16 August 2026 — 23,045 subscribers17 August 2026 — 23,215 subscribers18 August 2026 — 23,375 subscribers19 August 2026 — 23,537 subscribers21 August 2026 — 23,679 subscribers22 August 2026 — 23,861 subscribers24 August 2026 — 24,041 subscribers25 August 2026 — 24,091 subscribers26 August 2026 — 24,151 subscribers27 August 2026 — 24,309 subscribers28 August 2026 — 24,425 subscribers29 August 2026 — 24,607 subscribers30 August 2026 — 24,713 subscribers31 August 2026 — 24,848 subscribers1 September 2026 — 24,967 subscribers2 September 2026 — 25,133 subscribers3 September 2026 — 25,338 subscribers5 September 2026 — 25,623 subscribers9 September 2026 — 25,999 subscribers11 September 2026 — 26,319 subscribers13 September 2026 — 26,503 subscribers15 September 2026 — 22,728 subscribers16 September 2026 — 23,059 subscribers19 September 2026 — 23,580 subscribers26 September 2026 — 24,701 subscribers4 October 2026 — 26,413 subscribers9 October 2026 — 27,384 subscribers13 October 2026 — 28,512 subscribers14 October 2026 — 28,890 subscribers15 October 2026 — 29,054 subscribers16 October 2026 — 29,289 subscribers17 October 2026 — 29,639 subscribers18 October 2026 — 29,972 subscribers19 October 2026 — 30,371 subscribers20 October 2026 — 30,542 subscribers21 October 2026 — 30,890 subscribers22 October 2026 — 31,365 subscribers23 October 2026 — 31,668 subscribers24 October 2026 — 31,846 subscribers25 October 2026 — 32,177 subscribers26 October 2026 — 32,339 subscribers27 October 2026 — 32,816 subscribers28 October 2026 — 33,167 subscribers29 October 2026 — 33,627 subscribers30 October 2026 — 34,167 subscribers31 October 2026 — 34,634 subscribers15 August 202631 October 2026
47 measurements spanning 77 days, net +11,904. 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 20,942–36,420 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
31 Oct 2026, 16:3634,634+467
30 Oct 2026, 14:0634,167+540
29 Oct 2026, 11:2133,627+460
28 Oct 2026, 11:3633,167+351
27 Oct 2026, 13:1532,816+477
26 Oct 2026, 12:5932,339+162
25 Oct 2026, 12:3932,177+331
24 Oct 2026, 14:3631,846+178
23 Oct 2026, 16:4531,668+303
22 Oct 2026, 18:2031,365+475
21 Oct 2026, 13:2830,890+348
20 Oct 2026, 11:5730,542+171
19 Oct 2026, 12:4130,371+399
18 Oct 2026, 10:2829,972+333
17 Oct 2026, 11:5529,639+350
16 Oct 2026, 11:3929,289+235
15 Oct 2026, 15:0529,054+164
14 Oct 2026, 16:3928,890+378
13 Oct 2026, 05:4028,512+1,128
9 Oct 2026, 00:2027,384first reading

Engagement

215 posts held, back to 12 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 124 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.75%
avg views ÷ 34,634 subscribers
Avg views / post
952
117 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
117
of 215 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 October 2026
Posts held215 (12 August 2026 – 31 October 2026)
Views total111,414
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 18:06 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
204
Videos
137
Links
151

Lifetime counters from Telegram’s own channel header, read 31 October 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
9m 52s
Average length
5s

Measured directly from 112 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

31 Oct 2026, 16:30 UTC125 viewsread 31 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

31 Oct 2026, 04:30 UTC162 viewsread 31 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

30 Oct 2026, 16:30 UTC123 viewsread 30 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

30 Oct 2026, 15:26 UTC978 viewsread 31 October 2026
Photo

【宁波大学】 【花名】#米多多 【联系】@tianyuxian98 【位置】#鄞州区 【价格】#600p #1200PP 工兵优惠:2 名 2 名 须出报告! @ningbodaxue 10月31日 14:00开奖 ☞(查看报告 米多多 的1报告) 【返回宁波老师总榜】

30 Oct 2026, 04:30 UTC179 viewsread 30 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

29 Oct 2026, 16:30 UTC98 viewsread 29 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

29 Oct 2026, 05:14 UTC≈1,600 viewsread 31 October 2026
Photo

【宁波大学】 【花名】#佳怡 【联系】@iiiihbjk 【位置】#奉化区 【价格】#500p #1000PP 工兵优惠:2 名 2 名 须出报告! @ningbodaxue 10月29日 14:00开奖 ☞(查看报告 佳怡 的0报告) 【返回宁波老师总榜】

29 Oct 2026, 05:13 UTC≈1,510 viewsread 31 October 2026
Photo

【宁波大学】 【花名】#小英 【联系】@xiaoxyingy 【位置】#鄞州区 【价格】#700p #1300PP 工兵优惠:2 名 2 名 须出报告! @ningbodaxue 10月29日 14:00开奖 ☞(查看报告 小英 的2报告) 【返回宁波老师总榜】

29 Oct 2026, 04:30 UTC209 viewsread 29 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

28 Oct 2026, 05:04 UTC≈1,720 viewsread 31 October 2026
Photo

【宁波大学】 【花名】#骚老师 【联系】 @dss10276 【位置】#鄞州区 【价格】#600p #1200PP 工兵优惠:2 名 2 名 须出报告! @ningbodaxue 10月28日 14:00开奖 ☞(查看报告 骚老师 的1报告) 【返回宁波老师总榜】

28 Oct 2026, 05:00 UTC≈1,610 viewsread 31 October 2026
Photo

【宁波大学】 【花名】#西西 【联系】 @xixi2488 【位置】#鄞州区 【价格】#600p #1100PP 工兵优惠:2 名 2 名 须出报告! @ningbodaxue 10月28日 14:00开奖 ☞(查看报告 西西 的0报告) 【返回宁波老师总榜】

28 Oct 2026, 00:30 UTC221 viewsread 28 October 2026
Photo

随着入驻老师队伍日益壮大,日常对接、临时事务、突发各类情况也越来越多,为了方便大家高效沟通、及时处理问题,避免找不到相应的老师。 特意给大家整理好了 今日在线在线老师 名单👇 有任何问题、需求、突发情况都可以随时联系本群管理员,点击下方联系即可~

Showing the 12 most recent of 215 posts we hold for @ningbolaoshi. 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

@ningbolaoshi edited 6 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
16 August 2026
Most recent edit
13 October 2026

Mentions

Named by 5 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.

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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“宁波大学-在榜老师” (@ningbolaoshi), 34,634 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/ningbolaoshi.

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.