Telegram RegisterThe public register of Telegram

Channel

人人网

@BeautyBookofPoems

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

36subscribers

-6,717 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002822538614
TypeChannel
Username@BeautyBookofPoems
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/BeautyBookofPoems

Growth

366,9143,4757 August 2026 — 6,753 subscribers7 August 2026 — 6,753 subscribers8 August 2026 — 6,770 subscribers11 August 2026 — 6,914 subscribers14 August 2026 — 36 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net -6,717. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 09:1436-6,878
11 Aug 2026, 09:026,914+144
8 Aug 2026, 02:536,770+17
7 Aug 2026, 18:166,753no change
7 Aug 2026, 18:036,753first reading

Engagement

18 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7932.1%
avg views ÷ 36 subscribers
Avg views / post
2,860
18 posts measured
Reaction rate
0.146%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 16 of 18 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 11 August 2026
Posts held18 (3 August 202611 August 2026)
Views total51,400
Reactions total65
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:38 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
1m 50s
Average length
14s

Measured directly from 8 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

65 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 90.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5990.8%
👍46.15%
👀23.08%

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 16 of the 18 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 3 August 2026 to 11 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

11 Aug 2026, 14:34 UTC≈1,190 views1 reactionsread 12 August 2026
Photo

#4T 歆歆 98号 下午又去做了回工兵,结果到约定时间,被罚站了半小时,上楼到门口又被罚站5分钟,让人火大的很!然后我就非得进去看看怎么个事儿!进门看到妹纸,说实话人照有点不符,资料写05年,实际看着25+了,罚站那么久,也没有做的心情了,不给我看电报,代聊无疑。但好在妹纸给我诚恳道歉并主动赔了一张路费,就暂时不端人饭碗。但我就纳闷了:看她好评报告还不少,都闭着眼日的?🤔 回家途中想着出都出来了,怎么也得找地方放个水。正好途径歆歆4T家,去看看他们家03年的嫩妹,这个年龄在4T行业算是比较嫩的了。妹纸进门,我上下一大量,确实还不错,长相中上,说话也很温柔,是我喜欢的类型。 洗过之后趴在床上,妹妹给我做背部的按摩,这一下就把刚才罚站的愤怒与疲惫卸去了大半,手法很舒服,力道也正好合适,接着就是胸推啥的,背过手摸了一把,是B罩杯。 边服务边聊天,妹妹吐槽说做这个之前有两个老登要跟她处对象,她很烦,然后我问要是我跟她谈恋爱呢,她

1

10 Aug 2026, 11:49 UTC≈2,110 views1 reactionsread 12 August 2026

😶 光谷店 特价活动 320😐 活动期限:2026.08.11- 2026.08.13(本周二至周四) 特价活动到店需跟前台 @bafanlaicai94 预约并展示“晚风”籍🤣 门店技师榜单:https://t.me/fkjcgkbv000 个人推荐🧐:98号(03嫩妹)、88号(大奶细腰)

1

10 Aug 2026, 11:03 UTC≈2,090 views0 reactionsread 12 August 2026
Photo

🫠🫠 武汉樱花互动按摩! 武汉按摩真正的天花板 支持海选模式 每天到店技师10+位左右 颜值抗打 服务领先 环境高端 要做只做最优秀 🔣美女频道🔣 🔣聊天交流群🔣 🔣报告频道🔣 客服TG: @fwq2398 QQ号: 2398725768 导航定位:南湖 & 汉口(私聊发具体位置)

10 Aug 2026, 10:25 UTC≈2,070 views3 reactionsread 12 August 2026
Photo

又来摸了,有朋友认识这是哪个妹妹嘛🥰

3

9 Aug 2026, 09:03 UTC≈2,460 viewsread 12 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8450825117

9 Aug 2026, 09:03 UTC≈2,590 views3 reactionsread 12 August 2026
Photo

🫠🫠 武汉章鱼🐙8TSpa高档会所! 全裸升级版超级8️⃣🔠➕❓ 1️⃣:玉女双峰夹龙棍「胸夹」 2️⃣:玉手花式唤神龙「花手」 3️⃣:皇家骑士磨龙棍「女上」 4️⃣:玉足穿丝滑龙精「丝袜」 5️⃣:单龙挑战双凤飞「双女」 6️⃣:足指驾驭龙头推「足交」 7️⃣:单腿锁龙化磨龙「腿夹」 8️⃣:蜜臀夹龙女骑士「臀顶」 顶级 8T全部体验【选其一出水】 联系客服安排隐藏服务隐藏服务 🔣聊天交流群🔣 🔣技师频道🔣 🔣技师报告🔣 💸 380 (预约+出评价) 客服TG: @AWNB668 双向联系:@AWW998bot 预约☎️ : 13349751074 微信号:_You9876 QQ号: 3953211804 导航定位:汪家敦地铁S口 https://t.me/CMW6679

3

9 Aug 2026, 07:42 UTC≈2,560 views3 reactionsread 12 August 2026

预告:尼克·狐尼克 ,频道:动物城名单收录 提前关注一手频道,15号抽满姐白嫖券!🦊 https://t.me/huli16

3

8 Aug 2026, 10:40 UTC≈3,000 views4 reactionsread 12 August 2026
Photo

🫠🫠 武汉歆歆4TSpa高档会所! 主打服务颜值双体验 环境升级 全场99年~05年顶美温柔粘人 配合度高 情绪价值满满 联系客服安排顶美小姐姐 🔣聊天交流群🔣 🔣技师报告🔣 💸 380 (预约价格,需拍照点评反馈) 💸 420 (门店价格) 客服TG: @bafanlaicai94 双向联系:@xinxin94_bot 预约☎️ : 15377063868 微信号:WC-L999 QQ号: 2795844873

4

8 Aug 2026, 09:57 UTC≈2,910 views6 reactionsread 12 August 2026

#泰式互动按摩 【店 名】:樱花互动按摩 【出 击 人】:奉先 【妹妹花名】:小雪 【位 置】:南湖店 【联系方式】: @fwq2398 【所属频道】: https://t.me/XYMMK1580 【价 格 】:999套餐 【服务类型】:泰式互动按摩 【反馈报告】:其实刚出击完翠花,身体是有点疲惫的,耐不住朋友之邀,又一起去玩了“泰式互动按摩”,武汉这类型玩的不多,一直被诟病是素菜荤价,不过还是打算去看一下,如果真的不行就不玩。 进店之后,总共看了八九个妹妹,长相以及气质果然不是普通楼凤所能比的,高了两个level不止。跟MMC有点类似,所见即所得。最终选了最合眼缘的女嘉宾小雪:长得好看,身材也好,穿着高跟鞋,将近有170了,一身连衣裙很是有气质,看的我很激动。一上手,那皮肤真的是光滑如凝脂,疲惫的鸡儿竟再次起立,这对我这种难出二水的选手而言,是比较罕见的情况,可见这是我原始基

6

8 Aug 2026, 06:31 UTC≈2,040 views5 reactionsread 10 August 2026
Photo

80、👑资料 【艺名】翠花 【价格】5p,8pp 【位置】光谷 🔄【身材样貌】 1、人照8分,典型广西口音,浓眉深眼窝。 2、身高158左右,胸A+,小太子奶,奶头小,没啥赘肉,小芝麻。 3、肤色正常,肤质尚可,关于腿部“剌手”一说,是因为刮了腿毛,长出来的毛渣,逆向抚摸会存在刮手,顺着摸就还好,哈哈。 🎗【服务体验】 1、进门递了水,选了东方树叶,整体而言态度不错。 2、各种姿势配合,女上、传教、抱起颠勺、侧入之后,本想用最爱的厚乳或者趴入,但考虑到妹妹太小只,我这两百斤大胃戴能把她压扁,遂侧入出水,出水的瞬间,鸡儿鼓起,感觉到妹妹有点高潮反应(略带痉挛,并起了鸡皮疙瘩,呻吟声都变得不一样了…),抱着在里面停留了两分钟,一起共浴。 3、女上功夫一般,不是很会发力,教学了一会儿,也试着前后扭动,但节奏还没有掌控,还需多加练习。 🌈【总结】 抄底去的,没有夸得那么好,但也没有那么差,开58的话,还是蛮值得一去。

5

8 Aug 2026, 03:58 UTC≈2,130 views2 reactionsread 10 August 2026
Video

龙场悟道了,兄弟们😂

👍2

Showing the 12 most recent of 18 posts we hold for @BeautyBookofPoems. 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.

Posts edited after publishing

@BeautyBookofPoems edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 August 2026
Most recent edit
10 August 2026

Citation-graph rank

Citation-graph rank — 298,248 of 1,350,102entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“人人网” (@BeautyBookofPoems), 36 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/BeautyBookofPoems.

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.