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Telegram profile photo for 晚晚的小窝 🌸

Channel

晚晚的小窝 🌸

@wanwan0404

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

7,603subscribers

+161 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002176200581
TypeChannel
Username@wanwan0404
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/wanwan0404

Growth

7,4387,6717,554.57 August 2026 — 7,442 subscribers7 August 2026 — 7,442 subscribers8 August 2026 — 7,438 subscribers11 August 2026 — 7,445 subscribers14 August 2026 — 7,448 subscribers17 August 2026 — 7,451 subscribers20 August 2026 — 7,450 subscribers23 August 2026 — 7,671 subscribers26 August 2026 — 7,657 subscribers29 August 2026 — 7,620 subscribers1 September 2026 — 7,607 subscribers4 September 2026 — 7,603 subscribers7,6037 August 20264 September 2026
12 measurements spanning 28 days, net +161. 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 7,403–7,706 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 21:217,603-4
1 Sept 2026, 13:037,607-13
29 Aug 2026, 13:177,620-37
26 Aug 2026, 22:347,657-14
23 Aug 2026, 21:567,671+221
20 Aug 2026, 08:487,450-1
17 Aug 2026, 14:567,451+3
14 Aug 2026, 16:337,448+3
11 Aug 2026, 07:057,445+7
8 Aug 2026, 04:037,438-4
7 Aug 2026, 14:017,442no change
7 Aug 2026, 13:527,442first reading

Engagement

45 posts held, back to 8 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 7,603 subscribers
Avg views / post
1,030
20 posts measured
Reaction rate
0.139%
reactions ÷ views · ER floor
Posts in window
23
of 45 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 8 of 20 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 25 August 2026
Posts held45 (8 July 202625 August 2026)
Views total20,566
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 21:13 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

Video runtime
20s
Average length
10s

Measured directly from 2 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

49 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 83.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4183.7%
💔510.2%
👏24.08%
😍12.04%

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 21 of the 45 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 8 July 2026 to 25 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

25 Aug 2026, 04:23 UTC732 viewsread 28 August 2026

姨妈来啦,休息啦,👶🏻👶🏻们9月见咯!!

24 Aug 2026, 13:10 UTC910 viewsread 28 August 2026
Forwarded from @GZLBCJBG

【连胜报告】: telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: 好事 【联系方式】: @wanwana4 【老师艺名】: #晚晚 【科室地址】: #白云 【出击时间】: 八月 【颜值】: 喜欢 【身材】: 9 【服务】: 9 【年龄】: 少女 【性格】: 热情 【环境】: 环境不错 【价格】: #1200pp 【平均得分】: 9分 【推荐指数】: 9星 【总结】已经N返晚晚,目前出击过最多的妹子,也是给出评分最高的妹子,人照基本一致,御姐脸。情绪价值高,还会娇嗔,会笑会聊不冷场,皮肤是正常肤色,黄白皮,很滑,胸很软。做爱反馈强烈,特敏感,和我一样喜欢被舔胸,口活目前做的最让我舒服的妹子,太爽了,水多不用润滑油,去了N次了没见她用过润滑油,服务过程全程不看手机。还有一个特点是她脸比较立体,传教位时也很好看,尤其是鼻子,我很喜欢她的鼻子,很多妹子传教位时脸会塌下来,不是很美观,她不一样,360°无死角,

24 Aug 2026, 13:10 UTC704 views1 reactionsread 28 August 2026
Forwarded from @GZLBCJBG

【连胜报告】: telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: 【联系方式】: @wanwana4 【老师艺名】: #晚晚 【科室地址】: #白云 【出击时间】: 8.22 【颜值】: 满分 【身材】: 娇小可爱 【服务】: 细致入微 【年龄】: 嫩妹 少女 【性格】: 热情 【环境】: 温暖舒适 【价格】: #1200pp 【平均得分】: 9分 【推荐指数】: 9星 【总结】 有无陪洗?有无一次性毛巾?上楼要登记?有没有保安?科室环境?服务态度如何?胸推 口吹等各个服务分别做了多久简述一下 ①优点: 已经不知道是第几次约晚晚老师了。今天老师带着眼镜很有御姐风,可惜老师不愿意一直戴着眼镜,摘下眼镜就是萌妹风,但是是童颜巨乳。老师性格特别好,因为工作加班导致晚到,也没有埋怨,爱了爱了。不会写小黄文就不写了。总之优点太多写不完,去过的兄弟懂得都懂。 ②缺点: 不好约 报告提交机器人: @XIA

1

24 Aug 2026, 10:25 UTC736 views2 reactionsread 28 August 2026
Photo

🎉🎉🎉 恭喜中奖的逼!大家鼓掌欢呼!!! 抽奖名称:晚晚老师福利抽奖活动 中奖人数:1 抽奖说明:①本次活动由老师本人赞助,有效期7天 ②中奖请私聊 @wanwana4 ③白嫖 半价优惠券7日内出击写报告,超时拉黑6个月,请各位老师不要抽半价优惠券。 ④优惠券 半价 白嫖券不能以任何理由贩卖,发现永久拉黑 📋 抽奖群组:广州修车连胜 📊 本次抽奖数据: 总参加人数:252 人 总抽奖号数:2498 号 🏆 中奖名单: 1. 安静的cj(🎊天官赐福🎊) (@tianm9527) [充能35次] - 半价优惠券p 📋 验证端点:点击验证 💡 任何人可独立验证抽奖公平性 📅 开奖时间:2026/08/24 18:25:41

2

24 Aug 2026, 08:00 UTC790 viewsread 28 August 2026
Photo

✨ 命运揭晓时刻 ✨ 逍遥学院联合白云晚晚老师做8月福利 开奖了 抽奖人数:155,发言达标人数:93,抽奖号数:589 1. 逍遥学院~横扫鸡饿(公子护体~大哥大护裆)【祝福6次】 中得:P半价优惠卷 2. 牛来1234【祝福11次】 中得:66逍遥令(自动加) 3. 木棉花【祝福3次】 中得:66逍遥令(自动加) 4. ppipr 中得:66逍遥令(自动加) 抽奖说明: 1、中奖者请在7天内联系兑奖 @wanwana4 炸号过期无效 2、参与者必须在逍遥公开榜有点赞评论、活动期间 逍遥群内出击享受8折报销福利、群内发送“报销”查看规则、禁止🚫多号参与抽奖、发现视为作废、解释权归逍遥学院 🔍 杜绝黑幕,点击查看本次开奖全程验证

23 Aug 2026, 05:39 UTC≈1,010 viewsread 28 August 2026
Forwarded from @GZLBCJBG

【连胜报告】: telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: 条野太郎 【联系方式】: @wanwana4 【老师艺名】: #晚晚 【科室地址】: #白云 【出击时间】: 8.22 【颜值】: 9 【身材】: 9 【服务】: 9 【年龄】: 嫩妹 少女 【性格】: 热情 【环境】: 环境好,没有门禁好评 【价格】: #1200pp 【平均得分】: 9分 【推荐指数】: 9星 【总结】 小小个颜值不错,态度很好,陪洗的很认真,课表上的服务基本都有,口的也很认真,最主要的是人很敏感,做的过程反应也很真实,情绪价值拉满 有一次性毛巾,环境可以,上门不用登记,好评 报告提交机器人: @XIAOGUANGBot 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

21 Aug 2026, 11:15 UTC≈1,380 views2 reactionsread 28 August 2026
Forwarded from @GZLBCJBG

【连胜报告】: telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: Team 【联系方式】: @wanwana4 【老师艺名】: #晚晚 【科室地址】: #白云 【出击时间】: 8.20 【颜值】: 9 【身材】: 9 【服务】: 9 【年龄】: 嫩妹 少女 【性格】: 热情 【环境】: 干净 【价格】: #1600 2小时 【平均得分】: 9分 【推荐指数】: 9星 【总结】 有陪洗,一次性毛巾,上楼不要登记,无保安,科室环境干净,服务态度好。口吹感觉很棒,各姿势都很配合,女友一样的感觉,各方面都会照顾到,体验感非常好,会继续返 ①优点: 身材可以,颜值高,爱笑 ②缺点: 无 报告提交机器人: @XIAOGUANGBot 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

2

Showing the 12 most recent of 45 posts we hold for @wanwan0404. 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 2 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.

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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“晚晚的小窝 🌸” (@wanwan0404), 7,603 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/wanwan0404.

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.