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Channel

宁波新泡楼

@wanghhh8

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

28,432subscribers

-33,803 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003385674678
TypeChannel
Username@wanghhh8
Description宁波茶炮楼上榜老师存在人照不符、货不对板等情况 管理会将该老师下架,并记录其用户名 频道以及ID、不再上榜 特别警告: 严禁任何形式的虚假验证 严禁中介调包顶替行为
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/wanghhh8

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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

24,88562,23543,5606 August 2026 — 62,235 subscribers7 August 2026 — 62,066 subscribers8 August 2026 — 61,765 subscribers9 August 2026 — 61,321 subscribers10 August 2026 — 60,932 subscribers10 August 2026 — 60,211 subscribers12 August 2026 — 59,235 subscribers13 August 2026 — 58,715 subscribers14 August 2026 — 57,008 subscribers15 August 2026 — 54,459 subscribers16 August 2026 — 52,709 subscribers18 August 2026 — 51,542 subscribers19 August 2026 — 50,777 subscribers19 August 2026 — 49,105 subscribers21 August 2026 — 46,636 subscribers22 August 2026 — 43,520 subscribers24 August 2026 — 39,534 subscribers25 August 2026 — 37,507 subscribers26 August 2026 — 36,145 subscribers27 August 2026 — 34,654 subscribers28 August 2026 — 33,461 subscribers29 August 2026 — 31,362 subscribers30 August 2026 — 30,569 subscribers31 August 2026 — 29,477 subscribers1 September 2026 — 29,206 subscribers2 September 2026 — 28,732 subscribers3 September 2026 — 27,071 subscribers5 September 2026 — 24,885 subscribers8 September 2026 — 37,541 subscribers11 September 2026 — 34,441 subscribers13 September 2026 — 33,084 subscribers14 September 2026 — 31,066 subscribers16 September 2026 — 29,715 subscribers18 September 2026 — 28,432 subscribers28,4326 August 202618 September 2026
34 measurements spanning 43 days, net -33,803. 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 19,283–67,838 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 21:2028,432-1,283
16 Sept 2026, 15:3929,715-1,351
14 Sept 2026, 21:1831,066-2,018
13 Sept 2026, 07:1833,084-1,357
11 Sept 2026, 11:5534,441-3,100
8 Sept 2026, 19:4237,541+12,656
5 Sept 2026, 09:3824,885-2,186
3 Sept 2026, 11:0027,071-1,661
2 Sept 2026, 02:3728,732-474
1 Sept 2026, 05:1529,206-271
31 Aug 2026, 08:1329,477-1,092
30 Aug 2026, 06:0830,569-793
29 Aug 2026, 08:3431,362-2,099
28 Aug 2026, 06:1533,461-1,193
27 Aug 2026, 04:3834,654-1,491
26 Aug 2026, 02:1836,145-1,362
25 Aug 2026, 04:3937,507-2,027
24 Aug 2026, 05:0239,534-3,986
22 Aug 2026, 11:5343,520-3,116
21 Aug 2026, 00:4446,636first reading

Engagement

95 posts held, back to 4 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 77 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.25%
avg views ÷ 28,432 subscribers
Avg views / post
355
49 posts measured
Reaction rate
0.39%
reactions ÷ views · ER floor
Posts in window
49
of 95 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 49 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 20 September 2026
Posts held95 (4 August 202620 September 2026)
Views total17,384
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 08:00 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
1,750
Videos
1,520
Links
121

Lifetime counters from Telegram’s own channel header, read 20 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
7m 27s
Average length
9s

Measured directly from 49 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

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 7 of the 95 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 95 most recent posts we hold, published 4 August 2026 to 20 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

20 Sept 2026, 05:48 UTC11 viewsread 20 September 2026
Photo

【妹子昵称】#余念安 (JK 甜美少女) 【三围比例】身高:166 体重:92 胸围:C 【宁波分区】#鄞州区 (永泰花园附近) 【私聊妹子】@Niananyuu 【限制信息】@Yniananbot 【上课水费】800p/1500pp 【老师简介】@Tmeisnynn 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

19 Sept 2026, 21:10 UTC626 viewsread 20 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 邵阳95👄榜 📢 厦门分享社 📢 武汉红花 📢 大连•牡丹花 📢 北京便民 📢 昆明·凯迪拉克【验证公开榜】 📢 长春春风苑 📢 苏州•苏妃阁 📢 小小茹的个人小屋🛖南宁 📢 三亚商K游客避坑 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

19 Sept 2026, 20:55 UTC621 viewsread 20 September 2026
Photo

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/souso?start=autopromo_-1003385674678_6162679096_2029ebfa

19 Sept 2026, 10:52 UTC37 viewsread 20 September 2026
Photo

【妹子昵称】#小羊(兼职) 【三围比例】身高:167 体重:92 胸围:D 【宁波分区】#鄞州区(万象汇附近) 【私聊妹子】@xiaoyanjinz 【限制信息】@Xxyang_bot 【上课水费】800p/1500pp 【老师简介】@simixiaoyao 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

19 Sept 2026, 03:34 UTC51 viewsread 20 September 2026
Photo

【妹子昵称】#芊芊(大三兼职) 【三围比例】身高:162 体重:99+ 胸围:C 【宁波分区】#鄞州区(庙堰附近) 【私聊妹子】@dasanqianqian 【限制信息】@qqjcdsbot 【上课水费】800p/1400pp 【老师简介】@qianqianger 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

18 Sept 2026, 11:37 UTC71 viewsread 20 September 2026
Photo

【妹子昵称】#王富贵 二次元COS 【三围比例】身高:168 体重:90 胸围:C 【宁波分区】#鄞州区(钟公庙附近) 【私聊妹子】@wanfugue 【限制信息】@fgggfgybot 【上课水费】800p/1500pp 【老师简介】@wfgcos2yc 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

18 Sept 2026, 06:25 UTC64 viewsread 19 September 2026
Photo

【妹子昵称】#晚棠 (在校生兼职) 【三围比例】身高:167 体重:92 胸围:C 【宁波分区】#北仑区(中河路附近) 【私聊妹子】@Nachtang 【限制信息】@Aittqbot 【上课水费】800p/1500pp 【老师简介】@Duskapple 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

16 Sept 2026, 07:42 UTC133 viewsread 19 September 2026
Photo

【妹子昵称】#呆小露 【三围比例】身高:169 体重:99+ 胸围:C 【宁波分区】#北仑区(大碶附近) 【私聊妹子】@Louisedxl07 【限制信息】@Messagexlbot 【上课水费】700p/1200pp 【老师简介】@DXLouDiary 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

10 Sept 2026, 20:25 UTC624 viewsread 11 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 南宁凤阁 📢 杭州风情 📢 北京首府 📢 惠州太子宫 📢 惠州.惠阳.惠城.惠东.博罗全区:TG群友会所💕《旗航店 📢 厦门佳人 📢 海角社区【完整内容】 📢 重庆资源 📢 深圳龙华兔兔频道 📢 佛山芳华 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

10 Sept 2026, 20:10 UTC557 viewsread 11 September 2026
Photo

刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。 🔗 本频道专属邀请链接 https://t.me/souso?start=autopromo_-1003385674678_6162679096_channels_0131739e

9 Sept 2026, 20:20 UTC635 viewsread 10 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 邵阳95👄榜 📢 厦门分享社 📢 武汉红花 📢 大连•牡丹花 📢 厦门车友会 📢 北京便民 📢 昆明·凯迪拉克【验证公开榜】 📢 长春春风苑 📢 哈尔滨选妃 📢 沈阳美技 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

9 Sept 2026, 20:05 UTC595 viewsread 10 September 2026
Photo

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/souso?start=autopromo_-1003385674678_6162679096_2029ebfa

Showing the 12 most recent of 95 posts we hold for @wanghhh8. 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

Named by 9 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“宁波新泡楼” (@wanghhh8), 28,432 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/wanghhh8.

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.