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Channel

瞬移建模精彩报告❤️‍🔥

@lef38

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

1,413subscribers

+11 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003864314854
TypeChannel
Username@lef38
CreatedBetween 1 February 2026 and 15 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/lef38

Growth

1,4021,4131,407.59 August 2026 — 1,402 subscribers9 August 2026 — 1,403 subscribers12 August 2026 — 1,413 subscribers9 August 202612 August 2026
3 measurements spanning 3 days, net +11. 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 1,400–1,415 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:131,413+10
9 Aug 2026, 21:521,403+1
9 Aug 2026, 14:161,402first reading

Engagement

18 posts held, back to 15 June 2026the 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
71.3%
avg views ÷ 1,413 subscribers
Avg views / post
1,010
6 posts measured
Reaction rate
0.736%
reactions ÷ views · ER floor
Posts in window
6
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 1 of 6 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 8 August 2026
Posts held18 (15 June 20268 August 2026)
Views total6,048
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 14:16 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 38s
Average length
8s

Measured directly from 12 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

30 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
30100.0%

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 7 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 30reactions 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 15 June 2026 to 8 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

8 Aug 2026, 05:04 UTC510 viewsread 9 August 2026
Video

极品胸器佳佳 @jiajia0021 这次二刷佳佳;第一次由于她刚来开课没几天回去有事。佳佳两次见面都是素颜,平时一般都不化。颜值还是不错;侧脸更有感觉,如若化妆看得出能和视频照片一样惊艳。 身高170,双腿纤细修长,皮肤光滑很嫩。看着就想上手!整体身形清瘦,身材线条却很出彩。胸型标准C无科技,不下垂超饱满;触感酥软又带着紧实的Q弹质感出众这胸真是无敌!平时不怎么多摸胸的瞬移,不由多贪恋了几下。触感真是极好!且颜色偏淡粉嫩,形状小好看,一侧乳头内陷,另一侧乳头形态正常、向外凸出。 皮肤算不上纯冷白皮但也看着白净,妹妹不抽烟两次体验舌吻毫无异味,洗净后,先来到沙发;佳佳和瞬移全身赤裸她正向坐在我大腿上,相互激吻;管够管饱痛快!小手臂和背上有两处纹身。牵手手指柔嫩美甲漂亮,忍不住吃了几下。随即佳佳又跪姿对着落地镜吃弟弟,瞬移看着镜子淫荡画面,身心很是满足。爱爱上相当配合,无论什么动作不催不急可以完全按照自己节奏,反馈正常轻柔的

4 Aug 2026, 03:06 UTC≈1,070 viewsread 9 August 2026
Video

人美声甜方落 @xiaobeixxx 再度打卡方落宝宝,首刷已是去年。记得,当初上线半价竞拍,竞争温和;现在人气爆棚,清一色优质好评。 这一趟感受很直观,方落妆容比之前更好看,状态满分。一如既往敬业靠谱,火了之后没有变得油腻摆烂,反倒做得越来越好。 166cm净身高,穿着短款下装,双腿完整展露出来,视觉上舒展修长,妥妥的亮眼大长腿。声音听着依旧动人,到场的每位友友,都能喝上宝宝亲手调制的高颜值特调,体验感超棒。 相处愈发第一次更加熟悉,我俩坐在沙发上小酌闲谈,慢悠抽烟,氛围松弛惬意。洗浴后这回还增添了擦拭弟弟、双脚特别用心。 爱爱方面体力充沛;比我瞬移还要激情激烈;依旧无敌大蟒蛇感觉能把我吃了。口活时间也是特别长,深候一直是绝活。爱到浓烈时,方落语无伦次叫得肆无忌惮!身体感受直接拉满,一飞冲天! 她养的两只中华田园猫,干净又可爱;不怕生还粘人,性格超乖超好,撸着手感贼棒!养得肥肥胖胖的我也特别喜欢,太友爱了。家里也是布置

30 Jul 2026, 13:45 UTC≈1,350 viewsread 9 August 2026
Photo

外冷内骚会潮喷 饱饱 @jiadingbb 饱饱老师人照一致。真人脸很小。比频道视频和照片小得多。有一点:正如她课表所写:用弟弟龟头部位一直快速抽击摩擦外阴真会潮喷,不多见、相当敏感!喷得那是水花四溅和av镜头里一样。 饱饱老师平时偶尔抽烟,声音有些烟嗓,第一眼看去给人感觉有点高冷,实则完全相反,她无论是态度、还是说话语气语态尤为客气。163的身高100斤出头、皮肤较白,手感非常顺滑,无痘痘瑕疵。胸b加,屁股很大,后入很爽。身上无纹身,服务和妍妍老师一样有ab面。两人是闺蜜,目前她们有住在一起。 瞬移本不想体验b面(以前体验多了)在饱饱要求下尝试一把。先是简单的腰背按压、力度不错也是学过的,伴随指滑很轻柔,让人很放松。同样是会所式b面,饱饱舔舐得节奏很慢涉及范围很大,包括你的手臂都会带到。伴有耳边吹气,摩擦身体地调情,时间挺久,不掏浆糊。感受得出来服务很卖力走心!随后还有胯下吸蛋舔蛋,在慢慢沿着龙根用小嘴一把包裹住你的龟头

26 Jul 2026, 12:59 UTC≈1,210 viewsread 9 August 2026
Video

精致超有感觉多莱米 @pudongduolaimi 一年多前就刷过多莱米,后面一直念念不忘!妹妹开课很少,那会也没开多久。这次群里兄弟提醒,我才知晓。 妹妹频道用的一些照片视频和本人没那么像;真人超级好看,毋庸置疑。眉眼精致立体,有种小狐狸的感觉,双眼皮后天微调;最出彩的是原生鼻,小巧秀气,浑然天成毫无科技感。小脸搭配及腰长发,脸部轮廓看着干净流畅,完全长在瞬移审美点上。 瞬移推开房门,多莱米开口第一句便是:怎么是你!时隔一年有余,记忆分毫未减,看来是我留下的印象足够深刻哈哈! 05年的多莱米,162左右的身高,还是80来斤没什么变化,身形偏纤瘦,比例匀称协调;胸部大小适中b,乳头乳晕小、颜色偏浅,触感舒服恰到好处。肤色正常黄偏白,肤质干净细腻,没有任何痘痘瑕疵。 平时有抽烟,小手臂处有纹身。衣品超好,穿着洋气。屋子收拾得格外洁净,光是浴室摆放整齐的沐浴产品就能看出来,妹妹同我一样,喜欢收拾,追求干净整洁。 洗浴完毕,

26 Jul 2026, 03:23 UTC957 viewsread 9 August 2026
Photo

体贴服务系妍妍 @muamua03 群内抽奖:中得大课!妍妍本人比照片视频看着年轻,没有那么御。年纪和课表所写一致。礼貌待客、笑容盈盈,自聊老师刚玩飞机,身高160不到些,身材有肉不胖,胸c+,偶尔抽烟,身上无纹身。 前课:会给你脱衣脱鞋,冲澡后全身擦净,这里一次性毛巾比较小,可以多用。褪去衣裳,皮肤黄偏白,整体手感顺滑。乳头乳晕正常大小,颜色偏深,触感软糯弹性好。老师学过正规按摩,开始前:让她简单按压,缓解身心、力度适中,手法不错! 服务上有会所标准的ab面,b面有gs、xp、my,zh比较全面,正面三点技术用心,舔蛋蛋深候熟练,虽没有毒龙,但舌头会舔到划过,态度认真,不敷衍。还有乳交,有润滑液,号这口的自行提出。 各种爱爱姿势都能做,穴穴里很烫,收缩感强,吊感得劲。妍妍声音是那种甜美嫩妹,之前配音过有声小说,做起来放荡,叫的也骚,后入塌腰很深,屁股大冲撞感好。累了可以让她前后扭动,迎合程度很高。 课表有着95和98

20 Jul 2026, 08:56 UTC951 views7 reactionsread 9 August 2026
Video

女上很猛青青 @Naive789 07年嫩妹青青,颜值比视频照片好,圆圆脸,看着比较可爱。交流间给人感觉活力四射、元气满满。声音烟嗓,叫床后,声音秒变少女风。 165的身高,比列匀称、身材较瘦,修长身形腿比较长,正常黄皮,胸胸a,但手感很好,软糯有弹性,乳头乳晕小,整体皮肤顺滑滑溜,有抽烟习惯和比较多的纹身。 舌管够管饱,上床前还故作害羞要关灯,后面进入佳境随你开灯摆弄。整体口技过得去、时间较长,有服务意识,会询问哪里敏感和你的感受。有语言挑逗和眼神交汇。还没进入正题,不夸张下面已经湿漉漉一片,骚穴很骚,是个大骚货 ๑•ૅω•´๑ 女上瑶瑶乐和她频道视频一样,可以更加快速凶猛,她说秒了很多人。如果不控制好,确实力度很大。青青最喜欢自己前后磨豆腐,自己很享受!期间,会伸手指让你吃。其余姿势也都很配合,浪叫声超大,如果你站门外绝对听得到她得骚叫,可以说是肆无忌惮。妹妹还有些性瘾,喜欢猛烈和快速地狂插,越强烈地冲撞她越骚浪贱!

7

15 Jul 2026, 10:00 UTC≈2,210 viewsread 9 August 2026
Video

二刷宝宝雨汐 @yuxi00999 点击雨汐一刷报道 颜值还是一样超美,二见互相更多了份熟络感,雨汐已经和瞬移很随意。这回打扮得甜妹风,第一次去她是御姐风格。正如她所说的自己可甜可御!穿着衣品也对我胃口。整体:看着就很诱人! 简单再描述下:165的身高,胸胸b+,不抽烟,脚上有个超小纹身。小短裙一穿更显腿长,牵手手指很软,不论脸上还是身上,皮肤很好,光滑无瑕疵。素颜几乎和化妆无差别。 嫩妹妹,服务还有简单b面,两次我都没做哈哈,有兴趣的兄弟可以尝试一下,其他细节参考第一篇报告。 瞬移,平时也会在飞机上和雨汐简单絮叨,妹妹人很聪明,也很会照顾他人感受,爱爱方面还是一样听话,配合、激情四射!!!调皮可爱,性格随和,不受拘束的小动作和打闹玩笑都放得开,灵动又俏皮,彼此,松弛感直接拉满,特别有活力。喜欢的友友们多去几次,也能激发出雨汐对你放纵的一面。 家里有各种各样小零食,包括夏天吃的冰淇淋和饮料,雨汐宝宝都是为哥哥们特意准备的

9 Jul 2026, 08:22 UTC≈2,700 views3 reactionsread 9 August 2026
Video

青春少女感❤️ 小雯 @xiaowenboi 近日看世界杯,报告晚了两天。小雯照片和视频拍成熟了,真人小甜妹一枚,满满地清甜稚气,亲切感很强,颜值好看,皮肤很好,唯独笑起来牙齿算不上整齐,反倒添了几分独有的软萌可爱。 08年的妹妹,身高162,80斤重,不过整体身形均匀,没有排骨的感觉,皮肤黄偏白,由于超级嫩,而且皮肤光洁,显得还是比较白。有抽电子烟,小纹身,性格豪气、坦荡,说话确有着礼貌和温柔,给人感觉很舒适。 舌头超软,爱爱过程互夸,小雯说有些客人舌头比较硬,吻得不舒服,这点和我对蛇纹的感受一样,激情大蟒蛇,吻技很好。口活时间久,嫩妹三件套,不管舔蛋蛋,还是吃鸡,很乖,很听话,技术也挺不错。 小穴以及胸胸特粉嫩,胸a,乳头乳晕小、形状好看,穴口干净无异味,洞口非常小,人工白虎,湿润紧致,比较浅,能够插得很深,妹妹很愿意配合哥哥各种动作,迎合度高,桩机们手下留情,对小雯宝宝温柔些哈! 妹妹全身皮肤顺滑细腻,体重较轻,瞬

3

4 Jul 2026, 05:00 UTC≈2,740 views11 reactionsread 9 August 2026
Video

00后结衣,爸爸日本,妈妈中国。 出生到大学毕业都在日本(๑•ૅω•´๑)颜值非常符合我的口味!😍真人和视频一样,妩媚中透着骚气,看着韵味十足。她日语发音十分地道,专业水准完全能够胜任日语教习工作。 妹妹净身高167左右,身材均匀苗条,平时有健身习惯,腰肢纤细,若隐看得出腹肌线条,比例上腿长,屁股微翘、圆润,😋皮肤光滑,看着就很有感觉!肤色正常黄皮,有纹身,没发现抽烟,声音很嗲,很温柔。 和结衣简单聊了一些日本日常见闻,挺有意思的,会帮你细心擦拭身体。😉正题:舌头很软很润,口水丰富,是我最喜欢的感觉。来到床上,结衣说让我享受下日式服务,同样是三点式起手,技术相当不错,😁舌头灵活酥软,且舔舐面积很大,身体周边也会照顾到,一路下舔,眼神交汇,吃牛牛技术更棒,含住龟头转圈,侧面扫荡,包括舔蛋蛋,丝滑流畅。😏口水高处吐下,流上龟头,湿润后,会用手上下旋转摆弄和av里完全一样的操作,时间足够长,看你自己能否忍住。弟弟被结衣玩弄地比平时

11

28 Jun 2026, 13:17 UTC≈2,240 views3 reactionsread 9 August 2026
Video

河南挺接地气的 貂蝉 @dc896 纯素颜接客,只戴了美瞳,少了照片里的惊艳,多了份朴素,看着挺顺眼的,样子和我上面发的视频一模一样,今天就是穿的这一身。 她说有时候来不及化妆,时间不赶的时候会化全妆,虽是素颜,皮肤底子挺好,毛孔比较细腻,看着挺干净的,唯独牙不太齐。自述身高160,我觉得不止,体重100出头,皮肤白嫩,手感光滑,抽烟,无纹身,一点小肚子,整体微胖,有些许肉感,说话交流很实在,说两句普通话就会蹦到家乡河南话去,听着挺好玩的! 笑起来很灿烂,笑点也挺低的,态度非常客气,最近去的人比较多,时间有些紧迫,洗完澡直接进入正题。 女上磨豆腐不会,上下蹲坐两下也是没体力了,配合度很高,胸胸c,摸着很软,舌吻管够,口技一般,过得去,没有骚话,呻吟声比较轻,姿势任意切换,很听话,08年嫩妹,紧度还是可以的,人工白虎,看着干净,过程还是挺舒服的,最近出击频繁,瞬移有点虚,期间留了好多汗,滴在貂蝉胸上,背上,她倒不介意,看我满

3

Showing the 12 most recent of 18 posts we hold for @lef38. 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 — 278,212 of 1,481,217entries 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 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.

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

“瞬移建模精彩报告❤️‍🔥” (@lef38), 1,413 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/lef38.

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.