Telegram RegisterThe public register of Telegram
Telegram profile photo for 颖颖的家园

Channel

颖颖的家园

@yingyingdjiayuan

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

332subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004476721176
TypeChannel
Username@yingyingdjiayuan
First recorded26 September 2026
Last confirmed live26 September 2026
Measurements held1
On Telegramt.me/yingyingdjiayuan

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 19:22332first reading

Engagement

15 posts held, back to 26 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.

ERR · 30 days
86.6%
avg views ÷ 332 subscribers
Avg views / post
287
8 posts measured
Reaction rate
0.407%
reactions ÷ views · ER floor
Posts in window
11
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 4 of 8 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 26 September 2026
Posts held15 (26 July 2026 – 26 September 2026)
Views total2,299
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 19:22 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

Photos
13
Videos
2
Links
7

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
15s
Average length
8s

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

7 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7100.0%

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 5 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 7 reactions 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 26 July 2026 to 26 September 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

26 Sept 2026, 17:00 UTC62 viewsread 26 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:枕头 【出击时间】:2026年9月27日 【老师艺名】:#颖颖 【联系方式】:@yingyingvvv 【开课位置】:#大良 【上课费用】:700 【颜值身材】:真人更精致 【身高体重】:170左右 【胸杯紧度】:b+ 【老师类型】:#御姐 【服务种类】:该有的都有,不过分的都能满足 【情绪态度】:细心,女友感 【优点缺点】: ①缺点:空调制冷效果不太好 ②优点:身体高挑五官精致,不踩雷 【自由描述】:二返颖颖,本来不想写报告,不想这种极品有爆满的一天,奈何在她的软磨硬泡下还是交出第一份报告。位置不算难找,唯一的缺点就是空调不得劲。本人也不太会写小黄文,该有的流程不会少,也很配合。主要还是吃颜,颜控必刷。目测会火,再不来体验的兄弟感觉后期会涨价了。 报告仅供参考,请理性选择, 哥布林切勿对号入座的 报告提交给👉 莉莉 @Gzafua_bot

26 Sept 2026, 15:34 UTC98 views0 reactionsread 26 September 2026
Photo

🎰 【车友会】顺德·颍颍🦋抽奖活动🎁 📮 抽奖条件: 🎫 加入-佛山车友会 🎫 加入-佛山车友会公开榜 🎫 加入-车友会抽奖频道 🎫 加入-颖颖的家园 🎟️ 要求活动期间群内发言数 5 🍀 每5分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: P半价优惠卷 × 1 💡 活动说明: 👉中奖联系: @yingyingvvv 👉炸号无效,兑奖限开奖后5天内 👉中奖机制: 车友会群内发“喜+5”可以加成 👉中奖半价卷者请立即截图联系老师预约时间,出击后需提交报告!未提交作拉黑处理! 更多抽奖信息👉 https://t.me/CYHCJPD 🔥狼友避雷交流群(🈲老师、🈲广告)👉 https://t.me/+iwnlfkXaKfNkYTA8 📅 开奖日期:(UTC+8) 2026年09月30日 14时33分51秒

24 Sept 2026, 08:58 UTC263 viewsread 26 September 2026
Photo

那些说骗定金的我真是无语了,定金留位,定金留位,不能定金的别发信息,无语

22 Sept 2026, 01:46 UTC478 views2 reactionsread 26 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:库拉 【出击时间】:2026年9月21日 【老师艺名】:#颖颖 【联系方式】:@yingyingvvv 【开课位置】:#大良 【上课费用】:700 【颜值身材】:9比榜上照片好看太多 【身高体重】:170 54 【胸杯紧度】:b+ 【老师类型】:#御姐 【服务种类】:课表上有的都有 【情绪态度】:热情 【优点缺点】: ①缺点:位置太远 ②优点:服务态度非常好,热情温柔 【自由描述】:和ls约好时间,上楼进课室一切顺利。见老师本人感觉比照片好看,人照一致,交完课费就开始了,会提前开好水龙头,会帮擦背,然后上床开课,简单舔胸,口活还可以,没齿感,带套开做,反馈真实,会随着插入节奏及力度变换呻吟强度和频率,节奏感不错。姿势任换,不黑脸,随后123出水,洗澡走人。优点,高颜值,明星脸,侧脸特别像范冰冰,个子也可以,皮肤紧致,花臂,皮肤白,喜欢范冰冰类型的…

❤2

21 Sept 2026, 09:39 UTC324 views2 reactionsread 26 September 2026
Forwarded from @GzffolPhoto

😍艺名: #颖颖 #视频验证 🗺位置: #顺德 大良 课费: #700P 📱私聊: @yingyingvvv 🖥频道: https://t.me/yingyingdjiayuan 🔖标签: #69式 #少女 😀报告: ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

❤2

Showing the 12 most recent of 15 posts we hold for @yingyingdjiayuan. 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.

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

“颖颖的家园” (@yingyingdjiayuan), 332 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/yingyingdjiayuan.

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.