8.12桃花坞全国硅胶娃娃实拍 今日一镜到底实拍看一下打开门进入房间的景象。 房内一般会安排3.4个娃娃 娃娃有可爱萝莉,成熟御姐类型 每个娃娃都会摆放成不同的姿势,也会有情趣秋千,辅助椅等情趣产品配合解锁不同姿势👍 哥哥们可以进入房间选择一个喜欢的娃娃体验💓 #西安硅胶娃娃 #新城区 #莲湖区 #灞桥区 #硅胶娃娃

Channel
桃花坞硅胶娃娃新奇体验
@Y88660702
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,276subscribers
-53 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003005067399 |
|---|---|
| Type | Channel |
| Username | @Y88660702 |
| Created | Between 1 August 2025 and 31 October 2025— 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/Y88660702 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 13:25 | 11,276 | -6 |
| 13 Aug 2026, 05:18 | 11,282 | +1 |
| 12 Aug 2026, 04:12 | 11,281 | -6 |
| 11 Aug 2026, 04:41 | 11,287 | -6 |
| 10 Aug 2026, 03:50 | 11,293 | -19 |
| 9 Aug 2026, 07:11 | 11,312 | -12 |
| 8 Aug 2026, 05:01 | 11,324 | -4 |
| 7 Aug 2026, 06:43 | 11,328 | -1 |
| 6 Aug 2026, 20:18 | 11,329 | first reading |
Engagement
15 posts held, back to 30 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 16 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.8%
- avg views ÷ 11,276 subscribers
- Avg views / post
- 1,330
- 15 posts measured
- Reaction rate
- 0.082%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 15 (30 July 2026 – 12 August 2026) |
| Views total | 19,946 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:15 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
- 1m 52s
- Average length
- 14s
Measured directly from 8 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 6 distinct kinds. The most used accounts for 22.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 22.2% | |
| 🔥 | 2 | 22.2% | |
| 😁 | 2 | 22.2% | |
| 👍 | 1 | 11.1% | |
| 💯 | 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 8 of the 15 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 30 July 2026 to 12 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
8.11 桃花坞全国硅胶娃娃环境分享 经常有哥哥咨询我们的房间环境 今日做一期房间实拍 房间有配备卫生间 可以淋浴🚿免费提供一次性毛巾和牙膏牙刷,饮用水,套套润滑油,娃娃服装,情趣道具,哥哥们可以尽情diy,一切都按照你喜欢的样子来。
🔥1😁1
8.10 桃花坞全国硅胶娃娃 再好的文案,都不及你亲身体验🌸 请你开启奇妙旅途,锁定快乐💓 今天更新一波大🐻御姐 快看看喜不喜欢 #长沙硅胶娃娃 #芙蓉区 #雨花区 #望城区 #硅胶娃娃
8.9 桃花坞全国硅胶娃娃实拍分享 祝哥哥们周末愉快😁 好运四面八方来🍀 最近咨询嫩妹萝莉脸的客户比较多 今日特别发一期萝莉脸实拍鉴赏 看看有你喜欢的嫩妹萝莉嘛
😁1
8.8 桃花坞全国硅胶娃娃实拍分享 上新款脸型“金铃” 采用第十一代云柔硅胶材质 肤质细腻柔软 三通可👄款
🥰1
8.7桃花坞硅胶娃娃实拍分享 放松一下而已 没必要顶风作案干违F的事 咱们是安全,合法,合规的解压馆 哥哥上次前几天来体验过一次比较满意👍 走的时候还说下次要过来体验另一款娃娃 虽然之前已经见过这款娃娃了 今天进门还是忍不住惊叹好漂亮😍 上图☝️好东西独乐乐不如众乐乐 #广州硅胶娃娃 #花都区 #番禺区 #天河区 #硅胶娃娃
8.6桃花坞全国硅胶娃娃实拍分享 啥也不用准备,人来就行! 我们都给你安排得明明白白。 你就负责享受🥳 这个哥哥说喜欢单纯可爱一点的萌妹长相 安排到位🤘每天都在收获好评 新奇体验当然要足够新奇啦🤭
❤1
8.5 桃花坞全国硅胶娃娃实拍分享 真心不一定能换真心❣ 但力度一定能换声音 ❣ 昨晚包夜预约的哥哥说喜欢魅惑感的猫系少女 喜欢后入的掌控感 马上安排到位,上图🤘 哥哥体验完说,太爽了👍 原本准备的4个套套不够用 又多拿了几个🤭🤭
👍1
8.4桃花坞全国硅胶娃娃实拍分享高级的欲望,通过自律获得; 低级的欲望,通过放纵满足。 而有一种清醒的、不打扰任何人的 自我慰藉,叫作“懂得如何安放自己” 成年人的快乐星球🌍 #北京硅胶娃娃 #昌平区 #朝阳区 #海淀区
8.3桃花坞全国硅胶娃娃实拍分享 很多客人担心娃娃够不够逼真 材质够不够柔软 姿势好不好调节 今天无美颜无滤镜一镜到底实拍 全新升级第十一代版的云柔硅胶 材质更柔软,关节更灵活调节 大家可以清楚的看到皮肤纹路 胸部,手指,腿部的真实效果 这么逼真的娃娃是不是可以给到一个“夯”👍 #硅胶娃娃 #成都 #实体娃娃
❤1💯1🔥1
8.2桃花坞全国硅胶娃娃实拍分享 小款娃娃身高1米3 体重40斤 精致洋娃娃造型精致又可爱 较于常规款娃娃会更小更轻 操作便捷,姿势任意调节 #成都硅胶娃娃 #金牛区 #武侯区 #锦江区
8.1桃花坞全国硅胶娃娃 八月祝各位哥哥好运连连,顺风顺水顺财神。 真人声优老师在线语音搭配娃娃体验,让您身临其境,听觉,视觉,触觉,体验效果都拉到顶哦🥳 各种情景可选择➕多种角色扮演 好评多多,欢迎各位哥哥亲身尝试哦🥳
Showing the 12 most recent of 15 posts we hold for @Y88660702. 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 — 248,048 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 5 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“桃花坞硅胶娃娃新奇体验” (@Y88660702), 11,276 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Y88660702.
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.