【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 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

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 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/wanghhh8 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 07:48 | 57,008 | -1,707 |
| 13 Aug 2026, 00:45 | 58,715 | -520 |
| 12 Aug 2026, 00:32 | 59,235 | -976 |
| 10 Aug 2026, 23:31 | 60,211 | -721 |
| 10 Aug 2026, 00:41 | 60,932 | -389 |
| 9 Aug 2026, 00:55 | 61,321 | -444 |
| 8 Aug 2026, 03:20 | 61,765 | -301 |
| 7 Aug 2026, 02:11 | 62,066 | -169 |
| 6 Aug 2026, 19:52 | 62,235 | first reading |
Engagement
26 posts held, back to 4 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 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.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 26 (4 August 2026 – 14 August 2026) |
| Views total | 7,174 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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
#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
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#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
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【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 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
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【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 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
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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.
Named by
Channels on the register whose posts name this channel's handle.
@abanxiezhen · 1771 post长沙KTV 长沙商K 长沙娱乐 长沙KTV特色气氛真空mmc
@AHN1025Bbc · 11,6791 post广州 美腿 街拍 偷拍 丝袜
@Eagle23456 · 5,1621 post昆明花荟
@hzhua9 · 53,1091 post全国上门服务【真实靠谱】
@kangtulorn · 4061 post长沙会所#长沙丝足#长沙私影#长沙KTV
@plm678 · 4,5781 post【上海上门】【上海楼凤】
@TC98YP · 7,8941 postTikTok日本女优频道
@TikTok_ReMen · 6961 post上海沪澜宴
@yaomeibaogao · 92,9651 post全国外围/学生/呦女约💋
@younvdkesong · 471 post
Names
Channels on the register whose handles appear in this channel's posts.
@sooo · 546,9167 posts爱博体育官方频道
@aibonbcom · 15,9781 post(湛江)高端外围兼职
@djdjdncns · 2071 post杭州杭城
@feijza · 54,7151 post💋💋精品AV无码丝袜恋足制服
@feiyang990611 · 1,2041 post金华性教育
@HEIliaoqa · 38,8731 post西安酒吧 商k 组团 接待狼友
@jf7436 · 331 post苏州会所-苏州spa-苏州公寓
@pplkhbg · 1241 post少妇~熟女阁〔精品〕
@sfsn69 · 261 postTeleTop中文索引官方频道
@TeleTopOrg · 33,0681 post小甜心粉丝团💋
@Tianxgogo · 2,2931 post新币搜🔍@xbso
@xbso · 491,6521 post南宁螺蛳粉
@XZWJQA · 38,7521 post
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.