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Channel
反差萝莉学生曝光
@llfcxsbg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
71,011subscribers
-227 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002659536748 |
|---|---|
| Type | Channel |
| Username | @llfcxsbg |
| Description | 福利姬曝光平台。 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/llfcxsbg |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 20:19 | 71,011 | -84 |
| 19 Sept 2026, 01:59 | 71,095 | -47 |
| 16 Sept 2026, 20:20 | 71,142 | -28 |
| 14 Sept 2026, 19:39 | 71,170 | -17 |
| 13 Sept 2026, 04:15 | 71,187 | +54 |
| 11 Sept 2026, 05:59 | 71,133 | +66 |
| 8 Sept 2026, 09:18 | 71,067 | +66 |
| 5 Sept 2026, 00:55 | 71,001 | +287 |
| 3 Sept 2026, 06:07 | 70,714 | +11 |
| 2 Sept 2026, 00:46 | 70,703 | -34 |
| 1 Sept 2026, 00:36 | 70,737 | -16 |
| 31 Aug 2026, 03:04 | 70,753 | -7 |
| 30 Aug 2026, 00:55 | 70,760 | -37 |
| 29 Aug 2026, 02:13 | 70,797 | -55 |
| 28 Aug 2026, 03:53 | 70,852 | -6 |
| 27 Aug 2026, 04:27 | 70,858 | -28 |
| 26 Aug 2026, 01:25 | 70,886 | -28 |
| 25 Aug 2026, 04:44 | 70,914 | -29 |
| 24 Aug 2026, 00:44 | 70,943 | -49 |
| 22 Aug 2026, 05:58 | 70,992 | first reading |
Engagement
83 posts held, back to 9 June 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 116 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.0%
- avg views ÷ 71,011 subscribers
- Avg views / post
- 11,300
- 46 posts measured
- Reaction rate
- 0.072%
- reactions ÷ views · ER floor
- Posts in window
- 46
- of 83 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 43 of 46 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 83 (9 June 2026 – 1 October 2026) |
| Views total | 521,350 |
| Reactions total | 367 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 15:02 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
- ≈1,280
- Videos
- ≈50
- Links
- ≈18
Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 3m 34s
- Average length
- 54s
Measured directly from 4 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
791 reactions across 75 posts, in 12 distinct kinds. The most used accounts for 81.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 644 | 81.4% | |
| 👍 | 61 | 7.71% | |
| 🥰 | 19 | 2.40% | |
| 👏 | 16 | 2.02% | |
| 😁 | 13 | 1.64% | |
| 🤬 | 9 | 1.14% | |
| 👎 | 6 | 0.759% | |
| 🤩 | 6 | 0.759% | |
| 🐳 | 5 | 0.632% | |
| 🤡 | 5 | 0.632% | |
| 🔥 | 4 | 0.506% | |
| 🎉 | 3 | 0.379% |
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 78 of the 83 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 791 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 83 most recent posts we hold, published 9 June 2026 to 1 October 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
#学生 #反差 陕西安康职业技术学院任紫楠不雅视频流出。其外表清纯,实则多次出轨,曾与炮友发生关系、怀孕并打胎。
#学生 #刘媛媛 #母狗 西安外语学院大二刘媛媛不雅视频曝光。白蕾丝吊带草莓内裤镜前自拍,脱衣躺床露脸。男友插入,深且稳。抓床单,长发散,浪叫渐强。后入,塌腰配合,顶深身晃。加速沉浸,主动后送。内射时全身绷紧,反差拉满。
#佳木斯迪桑特 #佳木斯迪桑特女导购 抖音疯传的佳木斯新玛特迪桑特女导购大瓜视频流出,勾引原配老公被原配打印不雅照片曝光。
❤12🤩6😁2
#林襄 #林襄外流 #台湾模特 #巨乳 台湾极品巨乳模特啦啦队成员林襄更衣室换衣视频被泄密,极品粉嫩巨乳让人看着流口水
❤14😁5
#刘大炮 #不吃奶露托 抖音疯传的刘大炮不吃奶露托视频就一个他们俩直播切片视频,俩人都已辟谣,别被评论区骗了。
❤16👍3
#催眠眼镜 #ai成人短剧 黄豆魔改ai短剧最新短剧催眠眼镜1-2集,拥有催眠眼镜的男主能命令美女为自己服务,爽玩兄弟女友
👏5❤3
#快手 #宽宽妈妈大栗 快手极品少妇宽宽妈妈付费定制大尺度露脸道具自慰私密视频曝光
❤8
#万岁山 #万岁山斗舞 #万岁山下腰 万岁山斗舞黑白条纹裤子斑马裤小姐姐下腰漏奶视频完整视频流出
👏10❤7
#tutuya01 #双飞 #黑丝 #精神小妹 极品高颜值主播双飞性感黑丝美腿精神小妹, 暴力抽插内射骚穴
❤5👍4
#范冰冰 #疯癫老人日记 范冰冰和日本导演合作的电影《疯癫老人日记》入围第31届釜山国际电影节! 电影聚焦69岁的鳏夫宇津木,中风之后,身体机能正在衰退,但性欲依然强烈。他依靠儿媳苏苏照料,接受了伸展训练,以帮助身体恢复。
❤2
#宿州学院 宿州学院一女生嫌室友玩三角洲太吵了,直接把室友砍了,事后还发抖音炫耀。
👎4😁4❤1
Showing the 12 most recent of 83 posts we hold for @llfcxsbg. 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
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“反差萝莉学生曝光” (@llfcxsbg), 71,011 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/llfcxsbg.
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.