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Channel

九公主的后宫

@pp1800r

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

104subscribers

+74 since we began measuring on 1 October 2026

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

Register entry

Telegram ID-1004438491433
TypeChannel
Username@pp1800r
Created1 October 2026 — measured — dated from the channel’s first post
First recorded1 October 2026
Last confirmed live6 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 6 October 2026
On Telegramt.me/pp1800r

Growth

30104671 October 2026 — 30 subscribers1 October 2026 — 30 subscribers6 October 2026 — 104 subscribers1 October 20266 October 2026
3 measurements spanning 5 days, net +74. 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 19–115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 04:16104+74
1 Oct 2026, 15:2230no change
1 Oct 2026, 14:4730first reading

Engagement

10 posts held, back to 1 October 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
51.4%
avg views ÷ 104 subscribers
Avg views / post
53.4
9 posts measured
Reaction rate
6.82%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 2 of 9 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 1 October 2026
Posts held10 (1 October 2026 – 1 October 2026)
Views total481
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 15:22 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
31s
Average length
16s

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

9 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥444.4%
❤333.3%
🥰222.2%

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 2 of the 10 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 1 October 2026 to 1 October 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

1 Oct 2026, 13:35 UTC37 viewsread 1 October 2026

上海艺术展览会报告模版: https://t.me/+nFnE0wANtSRkMjEx 【体验评价】:8.5 【人照几成】:9 【验证留名】:小小小可爱 【验证时间】:10.1 【妹子艺名】: #九公主 【联系方式】: @pp1800w 【所在位置】:#徐汇 【上课水费】:工兵 【身材描述】:瘦高 【凶器罩杯】:B+ 【老师类型】: 御姐 【服务类型】: 三点口 【服务态度】:还行 【优点缺点】:略模式化 【过程补充描述】: 进门人照差不多,御姐类型。瘦瘦高高的,皮肤光滑,少量纹身。 湿巾擦完直接开口,口技还不错。扶屌进洞,非常紧,比嫩妹还紧 可能和瘦有关。身子略僵硬,但正面,后入都还可以。无舌,女上不太会。乳头比较敏感,可以亲旁边。不太喜欢聊天,做爱安静。 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座 注:提交报告需要约课记录

1 Oct 2026, 13:02 UTC47 viewsread 1 October 2026
Photo

🎰 徐汇九公主老师优惠抽奖活动红包 📮 抽奖条件: 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-老猫福利榜【上海】 🎫 加入-九公主的后宫 🎁 奖品内容: 单次半价券 × 1 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @pp1800w (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年10月07日 17时00分00秒

1 Oct 2026, 11:55 UTC46 viewsread 1 October 2026

上海艺术展览会报告模板: https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:9 【人照几成】:8 【验证留名】:Leo 【验证时间】:10.1 【妹子艺名】:九公主 【联系方式】:@pp1800w 【所在位置】:徐汇 【上课水费】:工兵半价 【身材描述】:大长腿,舒服 【凶器罩杯】: B左右 【服务类型】: 比较害羞,主动提会服务 【服务态度】:好 【优点缺点】:妹妹很文静温柔,身材我很喜欢,大长腿抽插了一会儿很多水,,cjs时候抬起腿,视觉太爽了,洗澡一起洗很舒服,然后床上调情,舌吻,像和女友一样。妹妹小穴很紧,感觉还是可以的 【整体补充】: 瘦高,大长腿,不错的 【温馨提醒】:报告仅供参考,请理性选择 提交报告 @yishuja_bot 注:提交报告需要约课记录

1 Oct 2026, 10:34 UTC57 viewsread 1 October 2026

上海奶茶妹高质量福利群: 主打嫩妹福利,抽奖竞拍半价6折。 现金红包🧧 上榜管理: @Naichacbot 上海奶茶妹交流群 https://t.me/+iSwJ-vAcG902N2E1 上海奶茶妹备用群 https://t.me/+38a0Y7pTMccyZjUx 上海奶茶妹高质量榜单 https://t.me/+PHc3J4BHv4pmMzg1 上海奶茶妹老师广告群 https://t.me/+VZrekuT90f5mN2Zl

1 Oct 2026, 09:33 UTC60 views5 reactionsread 1 October 2026
Video

新人开课~!哥哥们多多关照一下~!

🔥3❤2

1 Oct 2026, 07:19 UTC76 viewsread 1 October 2026

👍👍👍【艺术展览会福利群】⬇️ 免费拿5折6折7折优惠 和抽奖 白嫖 现金红包🧧福利 本群专属手势认证高质量老师 上海艺术展览会福利群: https://t.me/+nFnE0wANtSRkMjEx 点击进去备用群 上海艺术展览会总榜单:https://t.me/+2i_egsiBxNFlNmJh 上海艺术展览会人气推荐榜 https://t.me/+vOj1VuT48NE3MDc1 上海艺术展览会中转平台 https://t.me/+-sIwH2NalFw2MzEy 展览会老师广告群 @shanghaiyishu 个人推荐频道88🧧 📡 上榜管理:@yishuja_bot 📡 管理秘书:@Yishujia798_bot

1 Oct 2026, 07:03 UTC72 views4 reactionsread 1 October 2026
Photo

个人频道 @pp1800r 双向机器人 @pp1300bot 私聊 @pp1800w 防止失联请加QQ 3129737910

🥰2❤1🔥1

Showing the 10 most recent of 10 posts we hold for @pp1800r. 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 3 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.

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

“九公主的后宫” (@pp1800r), 104 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/pp1800r.

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.