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Channel

芳媛的后宫

@hhhdjdbdj

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

793subscribers

+48 since we began measuring on 29 September 2026

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

Register entry

Telegram ID-1004458286309
TypeChannel
Username@hhhdjdbdj
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 September 2026
Last confirmed live5 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/hhhdjdbdj

Growth

74579376929 September 2026 — 745 subscribers29 September 2026 — 745 subscribers5 October 2026 — 793 subscribers29 September 20265 October 2026
3 measurements spanning 6 days, net +48. 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 738–800 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 07:41793+48
29 Sept 2026, 18:22745no change
29 Sept 2026, 17:47745first reading

Engagement

19 posts held, back to 6 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
250.6%
avg views ÷ 793 subscribers
Avg views / post
1,990
16 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
18
of 19 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 26 September 2026
Posts held19 (6 September 2026 – 26 September 2026)
Views total31,800
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 18:22 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
52s
Average length
17s

Measured directly from 3 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.

Recent posts

24 Sept 2026, 10:04 UTC859 viewsread 29 September 2026

⚙️ 操作码:3GpNcC 📄 【报告编号】:9 👨‍🎓 【验证留名】:源仔 👩‍🦰 【妹子花名】:拱北 芳媛 1️⃣ 【所在位置】:#华发附近 2️⃣ 【修车水费】:#500P 3️⃣ 【老师类型】:#嫩妹 #优质真胸 4️⃣ 【人照几成】:9成 5️⃣ 【身高体重】:156 42吧 大约 6️⃣ 【胖瘦赘肉】:该大的地方该大 7️⃣ 【凶器罩杯】:c 💯 【优点缺点】: 优点:👇 ① 嫩妹 ② 听话 ③ 态度很好 缺点:👇 ① ls没有蛇,还不习惯 📊 评分: ⭐️ 综合评分:9.00 👸 颜值:8 () 👙 身材:9 () 🥛 皮肤:9 () 🐻 胸:10 () 🦵 腿:9 () 🌕 臀:9 (楼下有保安开门 很安全) 🏠 环境:9 (两层地方很大漂亮 小区安全) ☺️ 服务态度:9 (一些其他要求,不過份ls都肯配合) 8️⃣ 简述服务过程:👇👇👇 這次第二次來了,Is感觉还不错,Is在華發附近遥控上楼。进门后见到I…

23 Sept 2026, 05:35 UTC996 viewsread 29 September 2026
Video

今天下班早 课也约🈵。哥哥们 明日再战😁

20 Sept 2026, 01:25 UTC≈1,540 viewsread 29 September 2026

⚙️ 操作码:dmnw1M 📄 【报告编号】:8 👨‍🎓 【验证留名】:吃豆人(丛刃选手) 👩‍🦰 【妹子花名】:拱北 芳媛 1️⃣ 【所在位置】:#南屏 2️⃣ 【修车水费】:#500p 3️⃣ 【老师类型】:#嫩妹 4️⃣ 【人照几成】:8.5 5️⃣ 【身高体重】:163左右 45kg估计不到 6️⃣ 【胖瘦赘肉】:无肚腩,身材纤瘦 7️⃣ 【凶器罩杯】:C,胸型靓,少少粉,乳晕不大,超爱 💯 【优点缺点】: 优点:👇 ① 会担心顾客等她,我哭死 缺点:👇 ① 唔肯叫爸爸 📊 评分: ⭐️ 综合评分:7.88 👸 颜值:7 (眼睛有点小,不过人确实不错) 👙 身材:8 () 🥛 皮肤:8 () 🐻 胸:9 () 🦵 腿:8 () 🌕 臀:7 () 🏠 环境:8 (复式,二楼冲凉好评,厕所小) ☺️ 服务态度:8 (她说只要我不尴尬,尴尬的就是她) 8️⃣ 简述服务过程:👇👇👇 商都一个小区,还ok,复式,入门一看化妆挺…

18 Sept 2026, 01:46 UTC≈1,730 viewsread 29 September 2026

⚙️ 操作码:vjbsw8 📄 【报告编号】:6 👨‍🎓 【验证留名】:禺瑶 👩‍🦰 【妹子花名】:拱北 芳媛 1️⃣ 【所在位置】:#香洲区 2️⃣ 【修车水费】:#500P 3️⃣ 【老师类型】:#嫩妹 4️⃣ 【人照几成】:8.5 5️⃣ 【身高体重】:162com。47kg/。 6️⃣ 【胖瘦赘肉】:身材很好。没有赘肉 7️⃣ 【凶器罩杯】:刚好有C 💯 【优点缺点】: 优点:👇 ① 嫩。态度好 身材好。胸好 缺点:👇 ① 没有缺点 📊 评分: ⭐️ 综合评分:8.75 👸 颜值:8 () 👙 身材:9 (8.5) 🥛 皮肤:9 () 🐻 胸:9 () 🦵 腿:9 () 🌕 臀:9 () 🏠 环境:8 () ☺️ 服务态度:9 () 8️⃣ 简述服务过程:👇👇👇 看到老师是新上榜嫩妹形 爱吃嫩的我跟老师约好时间 就cj。进门看到嫩是真的嫩 老师比较害羞的样子 不过还是问我热不热。寒暄了几句 我去冲洗 老师帮洗 洗完后擦…

14 Sept 2026, 01:32 UTC≈2,080 viewsread 29 September 2026

✅ 频道授权成功! 👤 老师的个人信息: • 花名: 石岐 芳媛 • 用户名: @hdjd_beh 📊 上榜信息: ------ 中山 ------ 上榜链接: 点击查看 评分链接: 点击查看 ------ 珠海 ------ 上榜链接: 点击查看 评分链接: 点击查看 🎉 欢迎加入联盟的大家庭!

Showing the 12 most recent of 19 posts we hold for @hhhdjdbdj. 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.

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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“芳媛的后宫” (@hhhdjdbdj), 793 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/hhhdjdbdj.

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.