Telegram RegisterThe public register of Telegram

Channel

宁波新泡楼

@wanghhh8

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

57,008subscribers

-5,227 since we began measuring on 6 August 2026

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

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 live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/wanghhh8

Growth

57,00862,23559,621.56 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 subscribers6 August 202614 August 2026
9 measurements spanning 7 days, net -5,227. 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 56,224–63,019 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:4857,008-1,707
13 Aug 2026, 00:4558,715-520
12 Aug 2026, 00:3259,235-976
10 Aug 2026, 23:3160,211-721
10 Aug 2026, 00:4160,932-389
9 Aug 2026, 00:5561,321-444
8 Aug 2026, 03:2061,765-301
7 Aug 2026, 02:1162,066-169
6 Aug 2026, 19:5262,235first reading

Engagement

26 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 26 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.484%
avg views ÷ 57,008 subscribers
Avg views / post
276
26 posts measured
Reaction rate
0.513%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 2 of 26 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 14 August 2026
Posts held26 (4 August 202614 August 2026)
Views total7,174
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 10:37 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
1,630
Videos
1,440
Links
81

Lifetime counters from Telegram’s own channel header, read 14 August 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
2m 19s
Average length
9s

Measured directly from 15 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 26 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 4 August 2026 to 14 August 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

14 Aug 2026, 07:32 UTC13 viewsread 14 August 2026
Photo

【妹子昵称】#舒婷(06年气质妹妹) 【三围比例】身高:166 体重:90 胸围:B+ 【宁波分区】#鄞州区(惠风西路附近) 【私聊妹子】@shutingmm 【限制信息】@wsmpstbot 【上课水费】700p/1200pp 【老师简介】@iaiauum 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

13 Aug 2026, 18:00 UTC604 viewsread 13 August 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 📢 福州精选园 📢 湖州出击 ------------------------------ ☁️ 互推入口:@sooo

13 Aug 2026, 17:50 UTC596 viewsread 13 August 2026
Photo

新群变化快,手动找很容易漏。 SOSO 会展示最近同步的新群入口,适合快速补充新的群组来源。

12 Aug 2026, 17:55 UTC545 viewsread 12 August 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 📢 成都辣妹 📢 三亚商K游客避坑 ------------------------------ ☁️ 互推入口:@sooo

12 Aug 2026, 17:45 UTC557 viewsread 12 August 2026
Photo

频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。

12 Aug 2026, 08:54 UTC93 viewsread 14 August 2026
Photo

【妹子昵称】#波妞 BBW(个人自聊) 【三围比例】身高:168 体重:99+ 胸围:E 【宁波分区】#海曙区 (丽园南路附近) 【私聊妹子】@Ponyobbw 【限制信息】@BoniuBnbot 【上课水费】1500p/2500pp 【老师简介】@livelyPonyo 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

12 Aug 2026, 07:17 UTC618 viewsread 12 August 2026
Photo

🔥TeleTop 频道推荐 📢苏州会所-苏州spa-苏州公寓 📢西安酒吧 商k 组团 接待狼友 📢金华性教育 📢珠海会所九門全裸 📢杭州杭城 📢少妇~熟女阁〔精品〕 📢顶级收藏家💦 📢💋💋精品AV无码丝袜恋足制服 📢(湛江)高端外围兼职 📢南宁螺蛳粉 💎广告推荐 📢✅【辉煌娱乐城93.CC】柬埔寨某盘总3... 📢🅾️AG官网直营✅大客必备✅注册送15... 📢⚽️爱博体育-佣金55%-玩家首存即升V... 🔍互推公示 🪧流量互推说明

11 Aug 2026, 17:50 UTC601 viewsread 11 August 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 📢 宜宾【茶妹】 📢 盐城精选 ------------------------------ ☁️ 互推入口:@sooo

11 Aug 2026, 17:47 UTC548 viewsread 11 August 2026
Video

TG必备的索引机器人!超级索引帮您精准找到:群组、频道、音乐、视频等 👇点击下方按钮,开启搜索把!👇

11 Aug 2026, 17:40 UTC631 viewsread 11 August 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。

11 Aug 2026, 11:47 UTC107 viewsread 14 August 2026
Photo

【妹子昵称】#宁夏(学妹无中介) 【三围比例】身高:165 体重:92 胸围:C 【宁波分区】#鄞州区 (安石路附近) 【私聊妹子】@Summernq 【限制信息】@Nyssaskbot 【上课水费】800p/1500pp 【老师简介】@NXRegion 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

11 Aug 2026, 05:09 UTC98 viewsread 14 August 2026
Photo

【妹子昵称】#美希 【三围比例】身高:170 体重:96 胸围:D 【宁波分区】#鄞州区 (民和家园附近) 【私聊妹子】@Meixiy258 【限制信息】@Meixi258ybot 【上课水费】1200p/2000pp 【老师简介】@Meixi258geren 【宁波同城】宁波同城交友群 😀认证: 视频已认证 押金已上交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

Showing the 12 most recent of 26 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.

Citation-graph rank

Citation-graph rank — 428,513 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 10 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“宁波新泡楼” (@wanghhh8), 57,008 subscribers as measured 14 August 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.