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Channel

有容乃大 joy 贵宾厅

@yanyashiwoya

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

2,521subscribers

+302 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002126781250
TypeChannel
Username@yanyashiwoya
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live18 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/yanyashiwoya

Growth

2,2192,5212,37011 August 2026 — 2,219 subscribers11 August 2026 — 2,223 subscribers15 August 2026 — 2,454 subscribers18 August 2026 — 2,521 subscribers11 August 202618 August 2026
4 measurements spanning 6 days, net +302. 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 2,174–2,566 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 03:262,521+67
15 Aug 2026, 02:382,454+231
11 Aug 2026, 23:042,223+4
11 Aug 2026, 20:152,219first reading

Engagement

13 posts held, back to 25 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.20%
avg views ÷ 2,521 subscribers
Avg views / post
232
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held13 (25 May 202611 August 2026)
Views total464
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 20:15 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
4s
Average length
4s

Measured directly from 1 video 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

24 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24100.0%

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 9 of the 13 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 25 May 2026 to 11 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

11 Aug 2026, 15:09 UTCviews —

有容乃大 joy 贵宾厅 pinned «杭州首开 有容乃大 娃娃脸 薄底大熊,大圈过来 💗芳名:joy (有容乃大) 💋薄底大熊真胸 👠165cm 净身高 👙 天然36E+ 100 斤 性感温柔,04年 真人真照 特点真奶E 娃娃脸 ❤️服务 水中萧 鸳鸯浴 舌吻足足 69 ,调情 , 🐻推 ,臀推,调情,深厚 ,指滑 ,按摩,情趣内衣选择,高跟鞋 一次 1200 50分钟 二次 1900 80分钟 电报号: @tianxiayaya»

11 Aug 2026, 15:08 UTC234 viewsread 11 August 2026

杭州首开 有容乃大 娃娃脸 薄底大熊,大圈过来 💗芳名:joy (有容乃大) 💋薄底大熊真胸 👠165cm 净身高 👙 天然36E+ 100 斤 性感温柔,04年 真人真照 特点真奶E 娃娃脸 ❤️服务 水中萧 鸳鸯浴 舌吻足足 69 ,调情 , 🐻推 ,臀推,调情,深厚 ,指滑 ,按摩,情趣内衣选择,高跟鞋 一次 1200 50分钟 二次 1900 80分钟 电报号: @tianxiayaya

1 Jun 2026, 06:42 UTC≈3,470 views0 reactionsread 11 August 2026
Photo

谁家小朋友36E还过六一呢 我不过我不过

31 May 2026, 03:51 UTC≈3,330 views4 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】:2026/5/30 【修车编号】: 【美女昵称】:joy 【验证人】:大斌 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】:温柔女友 【室内光线】:暧昧 【身材曲线】:SSS 【技术含量】: 高 【价格 】:12 【安 全 性】:小区 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】真D 【胸型】:饱满 【肤色,手感】皮肤白、嫩、滑 【B内温】:温暖 【BB户型】:润、紧、酥 【BB味道】:不知道 【三点】:粉 【课表,特色】:课表有的都有 【人照相似,真人打几分】:10 【服务过程】:一进门就知道自己来对了,布置好的氛围灯充满了暧昧感,老师女友般的迎接,自然又亲近,一下就放松下来了。老师会引导并且很配合,擦洗干净上床,循序渐进的调情,舌吻时能感受到老师舌头的柔软,配合老师

4

28 May 2026, 02:48 UTC≈3,890 views4 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】:5.27 【修车编号】: 【美女昵称】:joy 【验证人】:eee 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】:人照符合,大奶 【室内光线】: 【身材曲线】:ss 【技术含量】:合适 【价格 】:1200 【安 全 性】:个人住宅 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】真 【胸型】: 【肤色,手感】 白皮,手感不错 【B内温】: 【BB户型】: 【BB味道】: 【三点】:粉 【课表,特色】:课表上都有 【人照相似,真人打几分】:9 【服务过程】:跟随指引轻松找到房间,见面就被老师外貌吸引,超级大奶非常吸引眼球,简单寒暄后就是很快就进入标准流程,老师身材确实不赖,爱不释手,服务也做的很认真,很快我就带套翻身上马,纵情驰骋。老师的配合度确实很高,在我的大力攻势下淫

4

27 May 2026, 07:45 UTC≈3,530 views3 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】:2026.5.27 【修车编号】: 【美女昵称】:joy 【验证人】:交关 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】:精致御姐 【室内光线】:氛围灯 【身材曲线】:s 【技术含量】:高 【价格 】:1200p 【安 全 性】:住宅安全 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】E 真胸 【胸型】:正常 【肤色,手感】 白 滑 嫩 【B内温】:烫 【BB户型】:没关注 【BB味道】:没尝 【三点】:正常 【课表,特色】:课表一致 【人照相似,真人打几分】:8.5 【服务过程】:到点遥控上楼,开门后老师俏生生的站在不远处,穿着连体包臀裙,吊带黑丝,小高跟,身材凹凸有致,一股精致御姐的气质扑面而来,笑起来感觉有点陈好的意思。老师刚下海没几天,待人落落大方,声音清亮而不

3

26 May 2026, 12:44 UTC≈3,260 views5 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】:5.25 【修车编号】: 【美女昵称】:joy 【验证人】:hxhx 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】:回家的感觉 【室内光线】:温馨 【身材曲线】:ss 【技术含量】:优秀 【价格 】:12 【安 全 性】: 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】真 【胸型】: 【肤色,手感】 软糯 【B内温】: 【BB户型】:一线天 【BB味道】: 【三点】: 【课表,特色】: 【人照相似,真人打几分】:9 【服务过程】:进门服务周到,回家的感觉,身材比例很棒,笑起来非常好看,上床后就开始服务,口活很好,很会夹,很会🐍。交了水费后便去浴室,用她那性感的小翘臀给我蹭蹭,我也不甘示弱,便也开始上手,并吻上她的小香唇,两条小蛇互相缠绵,拉出一条小丝线便作罢。而后就是去

5

26 May 2026, 10:47 UTC≈2,970 views3 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】: 【修车编号】: 【美女昵称】:joy 【验证人】:胖虎 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】:舒服 【室内光线】:暗 【身材曲线】:ss 【技术含量】:9.9 【价格 】:12 【安 全 性】:老校区 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】 【胸型】:e 【肤色,手感】 【B内温】:温热 【BB户型】:没看 【BB味道】:无 【三点】:没注意 【课表,特色】:一致 【人照相似,真人打几分】:9.9 【服务过程】:今天的已经排满,光从这点就可以看出老师受欢迎的程度。无奈只能放弃,下午4点想问问能不能捡漏,正好有个哥们儿鸽子,那还说啥,驱车来到地点,按老师提示上了楼。 进门就看到笑脸相迎的老师,一身黑色的小吊带性感又迷人,身材高挑,胸前资本雄厚,在亲切的招

3

25 May 2026, 07:33 UTC≈3,370 views3 reactionsread 11 August 2026

修车报告模板 『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』好评 【日期】:5-25 【修车编号】: 【美女昵称】:joy 【验证人】:达文西 【地 区 】:宁波 鄞州区 【联系方式】 @tianxiayaya 【见面感觉】: 【室内光线】:舒适 【身材曲线】:s 【技术含量】:s+ 【价格 】:1900 【安 全 性】:高 【年龄】:04 【身高】:165 【体重】:100斤 【凶器,是否假奶】真奶 【胸型】:桃 【肤色,手感】 软弹 【B内温】: 【BB户型】: 【BB味道】:无 【三点】:嫩 【课表,特色】: 【人照相似,真人打几分】:9.9 【服务过程】:进门就很热情的拥抱我,放水洗澡全程贴心,放的舒适的音乐,让我疲惫的心情立马放松,像回家一样舒适的感觉,人很温柔,特别是声音像播音主持一样,特别带感觉,想包天的,老师说刚下海,让她考虑一下,我还在努力商量,特别推荐友冲啊,全程和谐好吗,没想到还

3

Showing the 12 most recent of 13 posts we hold for @yanyashiwoya. 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 — 1,260,140 of 1,549,704entries 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 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.

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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“有容乃大 joy 贵宾厅” (@yanyashiwoya), 2,521 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/yanyashiwoya.

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.