📊 8条车评,综合分 9.5 好评 100% | 人照 9.6 | 服务 9.6 中评 0% | 颜值 9.4 | 态度 9.7 差评 0% | 身材 8.9 | 环境 9.7 👆 【点击查看评价】 🥰 花名: #温婉 ✅ 状态:🟢 已验证 📍 地区位置:#浦东 🏠 场地:小区 /上门 ⬆️ 身高:163cm ⚖️ 体重:45gk 🎂 年龄:21 👙 罩杯:B 💰 价格:1100 /P (40分钟)1700 /PP(80分钟) #11/17 夜 :4000 🔡时长:8小时限3次 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #鸳鸯浴 #制服丝袜 🔡 个人介绍: @wenwan_1602【约课报修车协会】 双向:@wenwanxiaomi_bot 频道: @wenwandex…

Channel
温婉🉐娱乐会所😘
@wenwandexiaowo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,052subscribers
+131 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003765355572 |
|---|---|
| Type | Channel |
| Username | @wenwandexiaowo |
| Created | Between 1 February 2026 and 23 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/wenwandexiaowo |
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 19 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 21:41 | 1,052 | +42 |
| 8 Sept 2026, 21:56 | 1,010 | +3 |
| 3 Sept 2026, 15:40 | 1,007 | +15 |
| 28 Aug 2026, 00:43 | 992 | +25 |
| 21 Aug 2026, 04:26 | 967 | +46 |
| 13 Aug 2026, 10:34 | 921 | no change |
| 13 Aug 2026, 10:16 | 921 | first reading |
Engagement
11 posts held, back to 23 July 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 38s
- Average length
- 10s
Measured directly from 4 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
9 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 77.8% | |
| 🥰 | 2 | 22.2% |
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 6 of the 11 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 July 2026 to 13 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
做人不能既要、又要、还要。因为你也不是既有、又有、还有。你说对吧。 大家中午好,我是温婉,一个想要与你相遇的温婉,期待与你相见😊
上海安全可信的修车平台(免费上榜) 多渠道投流推广中,群里真实流量,无门槛半价福利等你领,欢迎进群上榜❗️❗️ 总站入口:@XFL98(防失联) 上海凤栖楼公告群🔔: t.me/xflgg 上海凤栖楼甄选榜🏆: t.me/xfltop 📲请点击>> 【上榜管理】 【双向客服】
认认真真把自己正在做的事情做到极致,术固然重要,但道更重要,接受自己是一个平凡人,不等于你可以放弃自己应该有的努力。 中午好,我是温婉。坚信自己一定会越来越好。加油❤️
❤2
😂干员ID: #温婉 哈夫克评级: 😂 位置: #浦东 资料:163cm 42kg 胸B 费用:1100p 1700pp 直属联系方式: @wenwan_1602 🤖双向助理: @wenwanxiaomi_bot ✅标签: 蛇吻 制服 鸳鸯浴 水中箫 高跟鞋 好评在下方评论区
❤1
在和群友的嬉笑怒骂中,我看到了一个豁达豪放,不卑不亢的温婉。有些话哪怕我看着都会略感不适,你却一笑而过甚至用自嘲来带过。频道里的简述和手势舞则让我看见了一个美丽乐观积极的温婉。 因此,未曾见面却又早已熟识是我见到温婉的第一感觉,半掩的房门后那对摄人的电眼正是多日来的魂牵梦绕,齐腰的金棕色大波浪,一袭紧身半步裙,柳腰纤细风姿绰约,表情略带羞涩引我步入客厅。坐上沙发,环顾四周,明亮、整洁,充满年轻姑娘的气息,阳台晒着几条连衣裙,是小童尺码,化妆品虽占满了整个桌面,但杂而不乱,厨房很小最常用的估计就是冰箱,里面都是酒,很符合温婉豪爽的气质。我点了一份外卖,顺便蹭了一罐跟温婉对饮,脸皮虽说有点厚,但我们的距离是渐渐拉近了。 后面的事就是顺理成章,没有刻意,也没有尴尬,像情侣般自然,我喜欢这种自然。唯一的遗憾是感觉自己没有满足温婉,只能自叹岁月无情。 记得你问我是不是跟网上表现得不太一样,没…
❤1
https://t.me/shwddh
女人嘛总有那么几天,想我的宝宝们,耐心等我回来呦
🥰2
哥哥们,休息两天。上课提前联系,请勿跑🈳呦😘
❤2
【老师】:#温婉 【验证留名】:xusong 【人照】:8 【颜值】:8 【身材】:9 【服务】:7 【情绪价值】:8 ➖➖➖➖➖➖ 【小作文】 在群里看到温婉很受欢迎,就想约一下见识见识,没想到是年初春节节前约过的LS,地址都没变,一问才知道 LS 原来过完年回来上课时频道和号全炸了,所以最后换了号,改了名,现在我居然又碰到了,猿粪啊!之前本来就打算返食来着无奈炸号后找不到人了,现在好了终于返食成功。颜值身材服务情绪价值都属上层,唯一遗憾🐻小了些,今后会继续返食。 【评级】顶级
【老师】:#温婉 【验证留名】:韩老魔小岸一会儿 【人照】:8 【颜值】:8 【身材】:7 【服务】:10 【情绪价值】:9 ➖➖➖➖➖➖ 【小作文】 一边你们不要叫我女桩机了,一边今儿我必须把你摇出来,东北女人一生要强。约了浦东温婉老师上门,远远看见身材比例很好,人照8分,去掉磨皮基本就是本人,年纪20出头,身材比较纤细,腹肌明显,大花臂嫩妹。虽是东北老妹儿,但是说话还是娇滴滴的,不会有太大的性缩力。交了水费主动一起来陪浴,全程不用自己动手,当场就硬了。迫不及待来到床上,三点口不喊停不停,我说:来吧,桩我吧!开始女上桩。能摇出感觉的妹妹其实不多,很多妹子女上也弄不了几分钟,要不偷懒要不就体力不行,温婉会非常努力的想要满足LY,累到出汗还是坚持女上,不喊换姿势自己不换,也是心疼后来就换了姿势。切换CJS,大概没那么专注,小骚话就开始了,很快就完成1p。休息调整后,继续第二P,还是女上摇了很久,提出去阳台后入,这妹子就更来劲了。本…
❤1
Showing the 11 most recent of 11 posts we hold for @wenwandexiaowo. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“温婉🉐娱乐会所😘” (@wenwandexiaowo), 1,052 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/wenwandexiaowo.
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.