繁花报告模板:https://t.me/HZFHLYQ 【优势】 【劣势】 【妹子花名】:#失眠熊熊 【联系方式】:@fuzhi7 【妹子年龄】:20左右 【验证留名】:@noob0926 【验证时间】:11月4日 【上课费用】: p11 【颜值】:人照相似度,穿搭/气质/形象如何:人照一致 很漂亮 【身材】:身高/体型/肤色/胸型大小,有无纹身: 手上有一点点小纹身 身材很好 冷白皮 【服务态度】:服务特别细致 【时间管理】:排课时间很宽松 很有耐心 【卫生环境】:你进门就能感觉得到 熊熊很爱干净 【额外加分项】:女友感很强 【综合评价】:超级好评 【流程小文】:冲着那杯奶茶,我也会一直来找熊熊的。不我应该叫她奶茶妹妹,柠檬茶真的很好喝,也真的很有仪式感,就像女朋友。而且进门的时候真的被惊艳到了。人跟照片一样好看,很可爱,很嫩。很会玩。服务很多,这是在别的老师那里体会不到的,最重要的是洗澡的时候还有牛奶浴。衣…

Channel
魔法书屋
@vjkvjg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7,369subscribers
+26 since we began measuring on 4 November 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002693519492 |
|---|---|
| Type | Channel |
| Username | @vjkvjg |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 November 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/vjkvjg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 14:40 | 7,369 | +26 |
| 4 Nov 2026, 09:22 | 7,343 | first reading |
Engagement
19 posts held, back to 5 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 25.5%
- avg views ÷ 7,369 subscribers
- Avg views / post
- 1,880
- 5 posts measured
- Reaction rate
- 0.277%
- reactions ÷ views · ER floor
- Posts in window
- 5
- 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 19 (5 September 2026 – 4 November 2026) |
| Views total | 9,390 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 22:14 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
- Photos
- 55
- Videos
- 33
- Links
- 44
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 52s
- Average length
- 9s
Measured directly from 6 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 13 posts, in 4 distinct kinds. The most used accounts for 78.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 51 | 78.5% | |
| 😢 | 9 | 13.8% | |
| 🔥 | 3 | 4.62% | |
| 🥰 | 2 | 3.08% |
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 14 of the 19 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 5 September 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
“熊熊柠檬茶”开始营业啦🎉 约好课的爸爸都可以获得一杯熊熊手作茶一杯
❤5
“小熊柠檬茶”开业啦🎉🎉🎉 约好课的爸爸过来抽奖 都有机会获得熊熊手作柠檬茶一杯🥰🥰🥰
❤4
脑袋是用来想我哒 笨蛋🥰
❤7🥰2
爸爸们我11月2号开课哦 到时候1号可预约哦
休息了爸爸们下次再见哦,爱你们,要替我好好照顾自己哦 🫶🫶🫶
❤5😢1
爸爸们今天最后一天开课啦,目前约满啦,没约到的爸爸下次再约哦,爱你们💌💌💌
❤5😢3
最后两天哦 今天目前满啦,爸爸们可以约明天哦
😢3❤2
【杭州硬了么】 @hangzhouyingleme 【时间】:2026-09-12 【老师】:失眠熊熊 【留名】:UncleBlackcurrant 【人照颜值】: 人照9.9,和频道里视频一样一样的,清楚小美女 【身材点评】: 身高体重和课表描述的差不多,皮肤白皙摸起来光滑,手臂处有小纹身,饱满Q弹真C胸,腰间几乎无赘肉,臀部翘而大,配上包臀裙很诱惑让人有捏一把的冲动 【老师类型】: 服务型美少女嫩妹 【相处感受】: 又纯又欲,聊天会找话题不冷场,很会调节情绪 【服务过程】: 有陪浴而且是pius版牛奶浴,舌吻,无套口,毒龙,言语诱惑(需要的课表项目提前告知老师) 【环境体验】: 小区进出走边门无门禁,位置有老师一步一步引导(不然容易走错门绕大圈),门口就是停车场停车方便; 课室环境整洁干净,有一次性漱口水、一次性浴巾,有落地镜 【同价位点评】: 夯!要不是老师排课满,就当场二刷了 【炮后感描述】: cj十几次以…
❤7
最后三天啦,爸爸们 今天约满啦,可以约明天的位置哦
😢2❤1
哥哥的拳头比较硬,还是想我的时候比较硬? 今天还有空可约🫶🫶🫶
【杭州硬了么】 @hangzhouyingleme 【时间】:2026-09-10 【老师】:失眠熊熊 【留名】:jataime 【人照颜值】: 人照一致,好看 【身材点评】: 165(我169,和我差不多高),冷白皮,胸很大,应该有C,手臂上有小纹身 【老师类型】: 甜御又有服务 【相处感受】: 情绪价值很到位,全程无冷场,老师兼职陪玩,很会聊 【服务过程】: 之前已经来过两次了,回迁小区,没有门禁很方便,上门后,一块去洗澡,老师会用胸蹭你,还会倒牛奶来增加情趣,帮忙擦拭身体。房间布置的很干净,服务前会先让挑选想要的制服(服务过程中老师会根据选的制服来演绎剧情),漱口,先趴床上,做胸推、臀推和舌尖漫游(有一说一,老师屁股也好大),然后毒龙,舔蛋,口交,我也漱口之后,一块🐍吻,69,老师也很敏感,69的时候就喷了,最后戴套传教士123发射(因为本人实在太快了,没尝试更多姿势,不过之前pp的时候有试过趴着、女上、侧着…
❤3
Showing the 12 most recent of 19 posts we hold for @vjkvjg. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“魔法书屋” (@vjkvjg), 7,369 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/vjkvjg.
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.