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Channel

妍妍的秘密花园

@Huangyanyan9

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

941subscribers

+12 since we began measuring on 15 August 2026

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

Register entry

Telegram ID-1003771495995
TypeChannel
Username@Huangyanyan9
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live16 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/Huangyanyan9

Growth

92994193515 Aug 2026, 09:15 — 929 subscribers16 Aug 2026, 06:14 — 941 subscribers15 Aug 2026, 09:1516 Aug 2026, 06:14
2 measurements taken within a single day, net +12. 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 927–943 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:14941+12
15 Aug 2026, 09:15929first reading

Engagement

13 posts held, back to 25 July 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
81.1%
avg views ÷ 941 subscribers
Avg views / post
763
13 posts measured
Reaction rate
0.101%
reactions ÷ views · ER floor
Posts in window
13
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. It is computed over the 3 of 13 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 15 August 2026
Posts held13 (25 July 202615 August 2026)
Views total9,917
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 09:15 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
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

4 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 3 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 4reactions 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 July 2026 to 15 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

15 Aug 2026, 04:25 UTC141 viewsread 15 August 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #白沙洲 #8p #14pp #蛇 #大胸 #御姐 #69 #陪浴 👤 老师:研研 (@H535345) 🔗 主页:https://t.me/wuhanhua1/16860 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 老师人很好,人很瘦很嫩,胸也很大,很能聊天,课表上该有的都有,很值二刷,很推荐冲 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-14 21:18 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vl

13 Aug 2026, 12:47 UTC466 viewsread 15 August 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #白沙洲 #8p #14pp #蛇 #大胸 #御姐 #69 #陪浴 👤 老师:研研 (@H535345) 🔗 主页:https://t.me/wuhanhua1/16860 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 见面首先感觉人照相差不大,老师颜很高,身材很好,身材管理很不错,胸挺腰细,大腿修长纤细,屁股圆翘,进门很自然像女友一样,交完水费一起去洗澡,身材很性感,随后到床上,口的时候很有温度和力度,小穴紧水也多,娇喘声和反馈很自然,姿势配合度相当高,舒服,很难把持住,后入双腿和屁股夹紧后很快顶不住了,败下阵来,床感好,事后也是抱抱亲亲身心愉悦,下次会二刷 ━━━━━━━━━━━━━━ 🙋

9 Aug 2026, 07:48 UTC≈1,010 views0 reactionsread 15 August 2026
Photo

宝宝们大概就这两天开课,这两天也蛮多老顾客要找我就不依依发出来了谢谢你们的喜欢和支持💗

3 Aug 2026, 08:54 UTC≈1,400 viewsread 15 August 2026
Video

宝宝们还在红袖中,等在过几天开工会通知哦,目前在老家玩呢,💗💗💗

Showing the 12 most recent of 13 posts we hold for @Huangyanyan9. 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 — 1,367,988 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.

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

“妍妍的秘密花园” (@Huangyanyan9), 941 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Huangyanyan9.

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.