温婉小少妇❤假一赔十 pinned «8号开课 8号开课 8号开课 地址普陀区真北支路 桃浦路»

Channel
温婉小少妇❤假一赔十
@WenWanO21
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,083subscribers
+2 since we began measuring on 7 November 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004345051107 |
|---|---|
| Type | Channel |
| Username | @WenWanO21 |
| Created | Between 1 June 2026 and 11 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 November 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/WenWanO21 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 15:07 | 1,083 | +2 |
| 7 Nov 2026, 12:22 | 1,081 | first reading |
Engagement
20 posts held, back to 11 September 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.
- ERR · 30 days
- 109.3%
- avg views ÷ 1,083 subscribers
- Avg views / post
- 1,180
- 9 posts measured
- Reaction rate
- 0.078%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 20 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 1 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 20 (11 September 2026 – 4 November 2026) |
| Views total | 10,651 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 12:22 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
- 18s
- Average length
- 9s
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
9 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7 | 77.8% | |
| 🔥 | 1 | 11.1% | |
| 🥰 | 1 | 11.1% |
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 5 of the 20 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 20 most recent posts we hold, published 11 September 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
8号开课 8号开课 8号开课 地址普陀区真北支路 桃浦路
温婉小少妇❤假一赔十 pinned a photo
休息了,下次开提前频道通知📢📢📢
Sticker, posted without a caption
温婉小少妇❤假一赔十 pinned Deleted message
老师:温婉小少妇 地址: 大渡河路 电报: @WenWan021 价格:800 有无舌吻:有 年龄估计:25 身高:162 体重:目测100斤左右 胸:B 肤色:偏白 约课时间:10月 人照:8 妹妹是安徽的,人比较腼腆。小区是老小区,停车不是很方便。本人和照片8成像,个子1.62高,看起来像100斤,胸看起还比较大,比较苗条,正常肤色。笑脸相迎,话不多,说话轻声细语,无风尘感,更像良家。进门抱着妹妹亲吻,妹妹有点害羞。主动交完水费后,邀请妹妹一起YYY。妹妹说洗过了,不过还可以站边上帮我洗。就这也得给妹妹点赞!脱掉衣服看到妹妹熊型不错,大概B,,ry正常颜色,NT偏大点,手感也好!皮肤光滑,没有纹身。上床后先抱着舌吻,妹妹也双手搂着我的脖子,感觉甚好。胸部敏感,亲了会,妹妹就忍不住呻吟,很诱人!女上起手,体力一般。换成传教士,在换成后入,再回到传统姿势出货!妹妹体质敏感,反差,易高潮。值得推荐!可惜这次没让妹妹抖动,有点小…
体验很好,好评。老师性格很文静,该有的服务都有,🐍管够,各种体位也能配合。pp肉乎乎的,后面很舒服。会二刷
温婉小少妇 今日开课 不抽烟 不喝酒 无纹身 服务,🐍吻,无套口,69 陪浴 pp🉑外出 包夜PPP26米9小时 优惠价P8---PP14不议价。 良家女,态度好,服务好。不机车 地址 普陀区 (小区房 安全) 真北支路 桃浦路 路口小区 停车🅿️很方便,路口大型商场
老师:温婉 @WenWan021 评分:8.8分 评价:大🐻,少妇年纪,带点乡土气息。说话轻声细语,人如其名,doi表情很投入,想叫不敢叫的样子让人很兴奋。体验下来不像是在p,更像是和隔壁邻居少妇偷情。 点击此处查看详细资料 反馈人:yy fff 魔都探花男群:https://t.me/+mhw016G0xDo0ZWI1
👍1
老师:温婉 @WenWan021 评分:8分 评价:老师眼角带笑,语气温柔,身材匀称,一进门竟然把灯开的很亮,想来也是对自己有自信,过程详情不表,最终痛快发射,还是很值得的,下次再约。 点击此处查看详细资料 反馈人:匿名 魔都探花男群:https://t.me/+mhw016G0xDo0ZWI1
【整体感受】:超预期 【人照对比】:本人比照片更好看 【妹子艺名】:温婉 【相处感觉】:羞涩、温柔,回应很用心 【正文】: 看了伯昌君的推荐,想来感受下。 最直观的感受就是超预期。照片没把她的好看完全拍出来,本人更灵动,尤其是那双大眼睛,见面的时候,我甚至有点不敢和她对视。 她长得很像记忆里一个熟悉的人,有种说不出的亲切感。不是我平时认定的理想型,却偏偏很让人惦记。见面时未必能讲清楚哪里最打动我,回去以后,她的样子却总会不经意地浮现在脑海里。 性格是偏羞涩的,话不算多,刚好是我喜欢的那种安静。但安静不代表冷淡,相处时能感觉到她回应得很认真,不敷衍,特别那对唇,难忘。那种温柔和自然,比单纯长得好看更让我觉得难得。 【总结】: 是一次很满意、也很愿意再见面的经历。真要说心情,其实还有点矛盾:觉得她很好,想把这份好分享出去,希望她能被温柔对待;又有一点私心,舍不得让太多人知道。可说到底,还是希望她以后能有更多选择,早点过上…
Showing the 12 most recent of 20 posts we hold for @WenWanO21. 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 1 registered channel — 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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“温婉小少妇❤假一赔十” (@WenWanO21), 1,083 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/WenWanO21.
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.