如烟大帝的后宫(重生版)❤️ pinned a photo

Channel
如烟大帝的后宫(重生版)❤️
@Ruyandadi3
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
7,854subscribers
-313 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003994215761 |
|---|---|
| Type | Channel |
| Username | @Ruyandadi3 |
| Created | Between 1 April 2026 and 3 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/Ruyandadi3 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 09:54 | 7,854 | +12 |
| 27 Aug 2026, 15:34 | 7,842 | -34 |
| 24 Aug 2026, 07:11 | 7,876 | -187 |
| 20 Aug 2026, 07:38 | 8,063 | -104 |
| 19 Aug 2026, 11:45 | 8,167 | no change |
| 19 Aug 2026, 11:30 | 8,167 | first reading |
Engagement
22 posts held, back to 3 August 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.8%
- avg views ÷ 7,854 subscribers
- Avg views / post
- 1,400
- 18 posts measured
- Reaction rate
- 0.07%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 22 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 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 August 2026 |
|---|---|
| Posts held | 22 (3 August 2026 – 19 August 2026) |
| Views total | 25,183 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Aug 2026, 23:57 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.
Reaction mix
5 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 80.0% | |
| 😁 | 1 | 20.0% |
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 4 of the 22 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 3 August 2026 to 19 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
💐💐💐开奖了💐💐💐 仙女宫柳如烟半价优惠券奶茶红包抽奖 开奖了! 本期总参与人数: 2089 1- 零帧跳 (翻倍1) 获得:1课半价优惠需在仙女宫写报告 2- 虎虎虎 (翻倍1) 获得:100元优惠券 3- 霍靠 (翻倍1) 获得:100元优惠券 4- 透明人 (翻倍1) 获得:100元优惠券 5- 圣诞老人只鹿 (翻倍1) 获得:100元优惠券 6- 肥宅猪头 (翻倍1) 获得:100元优惠券 7- 孙策字伯符(V8加持版) (翻倍92.0) 获得:200元两课优惠券 8- annk (翻倍1) 获得:200元两课优惠券 9- MeowNull (翻倍1) 获得:200元两课优惠券 10- 石头丸子 (翻倍1) 获得:200元两课优惠券 11- 肥嘟嘟左卫门 (翻倍1) 获得:200元两课优惠券 12- 3 条 J (翻倍1) 获得:28.8元奶茶红包 13- 皇冠梨很好吃 (翻倍1) 获得:28.8元奶茶红包 14- …
【广深报告】[https://t.me/QMqun] 【所在位置】:天河 【老师艺名】:柳如烟 【联系方式】:@liuruyan03 【验证留名】:给个戳戳 【验证时间】:8.16 【课程打赏】:1500 【颜值身材】:顶美 无可挑剔 老师瘦了好多 不过该有地方还都有 胸大 屁股翘 再长胖一点更好 【服务内容】:课表 【服务态度】:满分 还试了试胸推 好爽 【优点缺点】:全是优点 缺点就是无蛇吧 有蛇更完美了[客观评价优缺点] 【推荐程度】:满分[10分为满分] 【体验细节】:事隔一个月,看到老师换课室了,赶紧预约,也不记得是第几次约如烟宝宝了,停车场可以直接上楼,无门禁,开门见到她还是那个她,只是比以前瘦了,我问老师还记得我吗,她居然还记得,进门寒暄了一会,正常交水费,会帮我拿拖鞋,脱衣服,帮洗,洗的时候突然想试试水中萧,老师还是一如既往的配合,老师是那种温柔,一点小要求都很配合的妹妹。洗完躺床上常规服务,然后还是体验了一…
如烟大帝的后宫(重生版)❤️ pinned «https://t.me/ruyandadicj 创建了个抽奖聊天群 宝宝们 可以申请一下 不定时会跟姐妹做活动发奶茶优惠卷»
我猜你也想靠近吧☹️
https://t.me/ruyandadicj 创建了个抽奖聊天群 宝宝们 可以申请一下 不定时会跟姐妹做活动发奶茶优惠卷
如烟大帝的后宫(重生版)❤️ pinned a photo
🎰 仙女宫柳如烟半价优惠券奶茶红包抽奖 📮 抽奖条件: 🎫 加入-广州资源榜פּוּמְבֵּי『备胎』 🎫 加入-广州仙女宫中转站 🎫 加入-广州仙女宫 🎫 加入-如烟大帝的后宫(重生版)❤️ 🎫 加入-广州资源榜 🎫 加入-广深出师报告 🎫 加入-广州戒色宫『备胎』 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 1课半价优惠需在仙女宫写报告 × 1 100元优惠券 × 5 200元两课优惠券 × 5 28.8元奶茶红包 × 3 💡 活动说明: 1:兑奖联系 @liuruyan03 2:水群率越高中奖率越高喔 3:更多红包关注 @QMqun 4:半价出击需在仙女宫写报告否则拉黑抽奖 5:群内严禁胡言乱语禁用脚本刷信息 📅 开奖日期:(UTC+8) 2026年08月19日 19时55分11秒
❤1
宝宝们 可以预约啦
Sticker, posted without a caption
明天开课 宝宝们 可以预约啦
Sticker, posted without a caption
Showing the 12 most recent of 22 posts we hold for @Ruyandadi3. 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 — 1,504,999 of 1,629,518 entries 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“如烟大帝的后宫(重生版)❤️” (@Ruyandadi3), 7,854 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/Ruyandadi3.
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.