✈️【收到新的报告】 【出击报告】https://t.me/jngeh 【所在位置】深圳罗湖 【老师艺名】小范 【联系方式】@luohuxiaoya 【验证留名】D7 【验证时间】8月9日 【上课价位】1000 【人照几成】9成 【颜值分数】9 【身材分数】9 【课表服务】课表服务都有 【态度分数】9.5 【优点缺点】巨乳,乳交爽,服务一流,姿势配合 【推荐程度】9分 【体验细节】看到小范老师属于巨乳妹子,是我喜欢的类型,于是果断出击,进门一看,身材无敌,属于前凸后翘的,穿了高跟鞋感觉有170了,实际应该在165这样,说话声音甜甜的很好听,进门笑着叫哥哥,好漂亮,交了水费,聊了一会,主动帮我脱一起洗澡,搓背,洗澡都那么仔细,水萧舒服,我把玩老师大胸也好爽,老师很会情调,床上服务绝对好。乳交爽,过程无比舒适,嘴巴也很好聊天,骚的很。AB面舌尖漫游一遍,舌头软软的,69,吃蛋蛋,口活棒,太会玩啦!把我吃的酥麻酥麻的,太爽了。接着老…

Channel
深圳花奶巨乳38H罗湖小范个人频道
@szfflail
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12,994subscribers
-393 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002478036318 |
|---|---|
| Type | Channel |
| Username | @szfflail |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/szfflail |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 14:16 | 12,994 | -41 |
| 12 Aug 2026, 16:34 | 13,035 | -41 |
| 11 Aug 2026, 14:54 | 13,076 | -126 |
| 10 Aug 2026, 14:07 | 13,202 | -49 |
| 9 Aug 2026, 14:17 | 13,251 | -43 |
| 8 Aug 2026, 11:05 | 13,294 | -93 |
| 7 Aug 2026, 11:01 | 13,387 | first reading |
Engagement
61 posts held, back to 4 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.17%
- avg views ÷ 12,994 subscribers
- Avg views / post
- 932
- 61 posts measured
- Reaction rate
- 0.07%
- reactions ÷ views · ER floor
- Posts in window
- 61
- of 61 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 14 of 61 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 61 (4 August 2026 – 12 August 2026) |
| Views total | 56,840 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:52 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 41s
- Average length
- 14s
Measured directly from 7 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 8 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 88.9% | |
| 👍 | 1 | 11.1% |
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 61 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 4 August 2026 to 12 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
【深圳花满楼】 https://t.me/szhmll 【验证时间】:2026-08-12 【老师名字】:小范 【老师账号】:@luohuxiaoya 【验证留名】:天使宝宝 【人照相似】:9 【颜值身材】:9 【服务评分】:9 【态度评分】:9 【课室环境】:9 【体验过程】:来到小范老师课室一口一个宝宝的叫着,声音很好听。本人比照片更好看,那对大胸真大,手感好软,坐下后,先让我喝水,主动帮脱衣服,拖完衣服后就是双人共浴。还有漫游,老师热情主动,服务周到。洗完后老师主动帮忙擦拭身体。擦干身体后,挑选情趣丝袜,就开干啦,别说老师穿上丝袜还挺骚的,躺在床上,先帮我口了一会,老师的口技满分。然后就是选择自己最喜欢的体位,猛猛开干啦。老师下面水多逼紧,二弟很舒服,老师的叫床也很好听。不到一会就出水了。主动热情,不冷场。服务态度杠杠的,值得推荐。
大奶子晃晃的
Photo, posted without a caption
【集美师大】深圳校区校训:发现美,集中美,传播美。 玩法新颖,机制健全,范围最广的全国性老师学生交流平台。 【集美师大】深圳校区: @JMNUSZ 【深圳校区学生会】: @jmsdxsh
外出ing
❤2
靠谱288推荐奶水闺蜜👭
Video, posted without a caption
Photo, posted without a caption
【 https://t.me/+pdO6uCN5l81iNmY1 】 【时间】:2026-08-06 【老师】:小范 @luohuxiaoya 【留名】:匿名 匿名 【过程】:出击报告: 学生验证留名:第六剑 验证时间:8月6号 老师昵称:小范 老师联系方式: @luohuxiaoya 上课花费:1000 出击体验:一进门看到小范老师的一对大胸我就挪不开眼 迅速洗澡上床 老师胸是真的大,屁股翘,勾的我内心蠢蠢欲动 瞬间丁丁直接充血硬了 前戏过后直接进入正题 飘飘欲仙的感觉让我不能自拔 小穴超紧水哗哗不断 不断碰撞抽查 一对大胸在我眼前不断碰撞摇晃 血脉喷张 没多久就缴械投降了 第一次写小黄文 文笔不行 就到这吧 服务: 9.5 分 态度: 9.5 分 推荐:必返 ❗️提交报告需要提供相关资料,如约课记录,付款记录等 中转站 https://t.me/szpeachblossom 查询机器人 @pbcheck…
Video, posted without a caption
早起加班
❤1
Showing the 12 most recent of 61 posts we hold for @szfflail. 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 — 111,996 of 1,336,469entries 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 6 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.
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.
@jngsz · 35,4463 posts【集美师大】深圳校区
@JMNUSZ · 5,5812 posts花满楼资源频道
@hmlzyb · 18,5121 post极乳波霸船团!看置顶🫡
@jurujiali666 · 3,0981 post深圳【皮卡丘】报告榜
@PKQBG · 5,8271 post深圳.取餐区
@Sz_qcq · 22,5061 post茶餐厅报告
@szcctbg · 5,6291 post深圳桃花坞(防失联导航)
@szpeachblossom · 5,3261 post深圳桃花榜单
@szpeachlist3 · 9,1541 post深圳少女御姐合集
@szSNQSThj · 15,0961 post
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳花奶巨乳38H罗湖小范个人频道” (@szfflail), 12,994 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/szfflail.
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.