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Channel

包养选妃-红楼

@baoyanghl

2 usernames

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

11,002subscribers

-34 since we began measuring on 30 September 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002206875108
TypeChannel
Usernames@baoyanghl @hlbaoyang
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded30 September 2026
Last confirmed live5 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/baoyanghl

Growth

11,00211,03611,01930 September 2026 — 11,036 subscribers5 October 2026 — 11,002 subscribers30 September 20265 October 2026
2 measurements spanning 5 days, net -34. 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 10,997–11,041 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 21:3711,002-34
30 Sept 2026, 23:2211,036first reading

Engagement

3 posts held, back to 30 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
0.015%
avg views ÷ 11,002 subscribers
Avg views / post
1.7
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 3 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 30 September 2026
Posts held3 (30 September 2026 – 30 September 2026)
Views total5
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 23:22 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
10s
Average length
5s

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.

Recent posts

30 Sept 2026, 23:21 UTC1 viewsread 30 September 2026
Photo

编号:2609274302 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ y6331 省份:上海b274 城市:上海 年龄:05 身高:165 体重:90斤 🐻杯: c 职业:待业 能否飞外地:能 能否过夜/同居:能 是否抽烟/纹身:可以不抽烟 小纹身可以遮盖看不出来 能否kou:可以 能否体检后不d/🐍: 可不带 内看情况 预期费用: 2.8w 每🈷️可陪天数: 3天2.8w 能否接受sm :不接受 是否chu女: 不是 可分几次付: 最多接受2次 姨妈时间:月底 是否可去港澳;可以办港澳通行证 自我加分项:看起来年纪小可以冒07的 雷点(不接受):抠门 粗鲁 介绍费:7888 y A5⁣‌​‌​‌​​​​​​‌‌​​‌‌​​‌​​‌​​​‌​​​​​‌​​‌‌‌‌​​‌‌‌‌​‌​​‌​‌​‌‌​​‌​‌​‌‌​⁤⁣​‌‌​‌‌​‌‌​‌‌​​‌​​‌​‌‌​​​​​​‌‌‌​‌​‌​‌‌‌​‌‌…

Signed 红楼上架机器人

30 Sept 2026, 23:21 UTC1 viewsread 30 September 2026
Photo

编号:2609274301 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ y8789 省份:浙江b358 城市:杭州 年龄:22 身高:172 体重:48kg 🐻杯: D 职业:电商商务对接 能否飞外地:可以不接杭州 能否过夜/同居:过夜 是否抽烟/纹身:不抽烟,右手手臂有纹身 能否kou:可 能不能无🍑(体检后):可 能不能内🐍(体检后):否 预期费用:4w 每🈷️可陪天数:3天2晚3w 3天3晚4w 能否接受sm:轻微 是否chu女: 否 可分几次付: 两次 姨妈时间:中旬 是否可去港澳;可 自我加分项:会国画书法,喜欢健身,爬山等各种户外运动 性格开朗活泼,爱尝试新鲜事物,喜欢旅游大自然 无整容脾气好 真人比照片好看 雷点(不接受): 介绍费:7888 y A5⁣‌‌​​​​​‌‌​​‌‌‌​‌​​​​​‌‌​​‌​‌​‌​‌​‌‌​‌​​‌‌‌​‌​​​​‌‌‌‌‌‌​​​‌‌​‌‌‌​⁤⁣​‌‌…

Signed 红楼上架机器人

30 Sept 2026, 23:21 UTC3 viewsread 30 September 2026
Photo

编号:2609274300 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ :星星012 省份: 广东 城市:深圳 年龄:25 身高: 162 体重: 100 罩杯: B 职业:自己开店 是否chu: 否 能否口:能 能否SM:轻微可以接受 能否无套(检测后):可 能否内射:看情况 能否过夜:可 能否同居:可 有没有纹身:有 可否飞外省:可 可否出国:可 雷点(不接受):巨丑巨肥 大姨妈日期:15号 每月陪伴天数:20 期望零花钱:8w(短期要三天2w) 分几次支付零花钱:2次 找金主的原因:欠债 最早出发时间:随时 自我加分项:性格活泼 提供情绪价值,懂得多 介绍费7888星星0617 联系客服:小熙 联系客服:小甜 联系客服:小萌 【便捷选妃-地区分类】

Signed 红楼上架机器人

Showing the 3 most recent of 3 posts we hold for @baoyanghl. 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 2 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.

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.

“包养选妃-红楼” (@baoyanghl), 11,002 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/baoyanghl.

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.