派大星出击报告( https://t.me/+2Kbp7dDZd904ZDBk ) 验证留名:睡不醒 验证时间:8.9 老师花名:#Juliet朱莉 城市坐标:#深圳 #南山 上课花费:1000p 颜值身材:完美 服务内容:🐍,69,深喉 出击体验:第二次出击了,非常棒,老师的大嘴唇子一口给你肉棒含着深喉了好一会,感觉全身都酥麻了。口得很认真,实在受不了让老师停下戴套深入交流。很快缴械投降 缺点优点:没有缺点 推荐程度:9.5 联系方式: @Juliet87 已验证资源频道(备用防失联): 1、https://t.me/+aajVEQ4g6yllZmJk 2、https://t.me/+T_zkeXVQalQyYTc0 深圳派大星备用群: https://t.me/+LeNkDFVEzdE2NTJl 抽奖福利频道: https://t.me/pdxdcjzl 群主 : @YANZI1998Abc 管理员: @e789en…

Channel
南山 Juliet朱莉 日常记录
@Juliet918
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
826subscribers
+6 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004318344732 |
|---|---|
| Type | Channel |
| Username | @Juliet918 |
| Created | Between 1 June 2026 and 21 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Juliet918 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 10:01 | 826 | +6 |
| 9 Aug 2026, 16:00 | 820 | no change |
| 9 Aug 2026, 15:48 | 820 | first reading |
Engagement
19 posts held, back to 21 July 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 150.1%
- avg views ÷ 826 subscribers
- Avg views / post
- 1,240
- 19 posts measured
- Reaction rate
- 0.121%
- reactions ÷ views · ER floor
- Posts in window
- 19
- 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 5 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 19 (21 July 2026 – 9 August 2026) |
| Views total | 23,554 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 16:00 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
- 53s
- Average length
- 18s
Measured directly from 3 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
8 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 100.0% |
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 5 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 8reactions 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 21 July 2026 to 9 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
Good afternoon, husbands
今天开课啦
❤1
🈶空约
Photo, posted without a caption
开课了
Photo, posted without a caption
开课啦
——枫林体验 https://t.me/szflw 上课时间:7.30 老师花名: Juliet朱莉 课室位置:#南山 老师电报: @Juliet87 颜值身材:颜值漂亮,身材协调匀称,很美的玉体洋马 体验细节:进门就看到一个穿性感的蕾丝内衣搭配丝袜洋马,人照一致,果断的就交了水费,老师很贴心,一见面就🐍吻,一起洗澡,主动帮口,口着口着就有感觉了,就开始来第一发,老师会自己动,还会夹,一下就把我给秒了,躺了一会,聊了一会天,口一会又硬了,老师坐在上面说很爽,让她来动,老师下面水很多,老师边动边🐍吻,总得来说,很嫩,很刺激很爽,多的细节不说了,服务态度都很好,强烈推荐,下次还想来 推荐程度:🍁🍁🍁🍁🍁 温馨提示:审美因人而异,服务亦有不同,报告好坏皆仅供参考。 报告频道:https://t.me/szflbg 报告收录机器人: @fenglinwanbbot
开课了
❤1
宝宝们开课了,🉑约
❤2
Photo, posted without a caption
❤2
Showing the 12 most recent of 19 posts we hold for @Juliet918. 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 — 692,373 of 1,189,255entries 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“南山 Juliet朱莉 日常记录” (@Juliet918), 826 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Juliet918.
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.