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Channel

推特萝莉 反差学生妹 母狗onlyfans

@luoli54

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

9,247subscribers

+2,833 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003977642662
TypeChannel
Username@luoli54
CreatedBetween 1 April 2026 and 25 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/luoli54

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

6,4149,2477,830.57 August 2026 — 6,414 subscribers7 August 2026 — 6,427 subscribers10 August 2026 — 6,611 subscribers13 August 2026 — 6,766 subscribers16 August 2026 — 7,176 subscribers19 August 2026 — 7,352 subscribers23 August 2026 — 7,572 subscribers26 August 2026 — 7,726 subscribers29 August 2026 — 7,869 subscribers1 September 2026 — 8,059 subscribers4 September 2026 — 8,256 subscribers9 September 2026 — 8,608 subscribers13 September 2026 — 8,901 subscribers17 September 2026 — 9,247 subscribers7 August 202617 September 2026
14 measurements spanning 41 days, net +2,833. 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 5,989–9,672 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 14:009,247+346
13 Sept 2026, 16:198,901+293
9 Sept 2026, 20:568,608+352
4 Sept 2026, 16:578,256+197
1 Sept 2026, 09:588,059+190
29 Aug 2026, 00:447,869+143
26 Aug 2026, 09:427,726+154
23 Aug 2026, 15:177,572+220
19 Aug 2026, 17:447,352+176
16 Aug 2026, 17:487,176+410
13 Aug 2026, 10:166,766+155
10 Aug 2026, 19:286,611+184
7 Aug 2026, 23:566,427+13
7 Aug 2026, 19:176,414first reading

Engagement

39 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.1%
avg views ÷ 9,247 subscribers
Avg views / post
4,080
5 posts measured
Reaction rate
0.137%
reactions ÷ views · ER floor
Posts in window
5
of 39 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held39 (25 July 202628 August 2026)
Views total20,390
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:47 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.

Reaction mix

355 reactions across 38 posts, in 7 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
22262.5%
👍7420.8%
🔥5114.4%
🤔41.13%
🥰20.563%
😁10.282%
🤯10.282%

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 39 of the 39 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 355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 25 July 2026 to 28 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

28 Aug 2026, 12:19 UTC≈1,070 views4 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #绿帽系列 《3p和老公一起吃单男鸡巴》 和单男调教羞辱老公,把单男的精液喂给老公吃 合计4v发评论区了,点击评论区查看! #评论区拿资源 【741MB】

2👍1🔥1

27 Aug 2026, 07:57 UTC≈2,880 views3 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #足交系列 《黑丝女警丝袜》 检察官女警完整版 黑丝足交 精液全部射在丝袜里 合计2v发评论区了,点击评论区查看! #评论区拿资源 【106MB】

1👍1🔥1

26 Aug 2026, 09:57 UTC≈3,860 views7 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #口交系列 《深喉合集》 整理的深喉、口交、绿帽3p合集 和上面的无重复 合计8v发评论区了,点击评论区查看! #评论区拿资源 【1.7G】

4🔥2👍1

25 Aug 2026, 04:03 UTC≈5,500 views7 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #打电话系列 《口交的时候给妈妈打电话》 一边吃鸡巴一边给妈妈打电话,“吃龟头的边缘” 妈妈居然教女儿怎么吃鸡 合计1v发评论区了,点击评论区查看! #评论区拿资源 【388MB】

5👍1🔥1

23 Aug 2026, 12:08 UTC≈7,080 views7 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #足交系列 《渔网黑丝足交》 黑网足交调教单男 黑、白丝袜足交套弄单男大鸡巴榨干每一滴精液 合计2v发评论区了,点击评论区查看! #评论区拿资源 【380MB】

3👍3🔥1

22 Aug 2026, 11:57 UTC≈7,890 views8 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #露出系列 《公园3P绿帽偷情》 男友帮单男亲手戴上套子 公园露出做爱 3p现场 绿奴狂喜 合计1v发评论区了,点击评论区查看! #评论区拿资源 【317MB】

5👍2🔥1

21 Aug 2026, 13:40 UTC≈8,260 views14 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #偷情系列 《一边口交一边打电话》 给小鲜肉吃鸡巴 出差老公打电话过来 故意吃的很大声叫给老公听 挂完电话之后主动扯掉大鸡巴的避孕套 舌吻无套内射 合计1v发评论区了,点击评论区查看! #评论区拿资源 【340MB】

9🔥3👍2

20 Aug 2026, 11:08 UTC≈8,150 views7 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #拉丝口交 《女警黑丝足交》 足控狂喜 深喉口交 干完黑丝小秘书还喂吃精液 合计1v发评论区了,点击评论区查看! #评论区拿资源 【245MB】

4👍2🔥1

18 Aug 2026, 11:08 UTC≈8,160 views10 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #绿帽系列 《万圣夜幽灵娘》 极品NTR情侣 万圣节绿帽特辑 老公抱着身为幽灵的我让单男操 合计1v发评论区了,点击评论区查看! #评论区拿资源 【390MB】

7👍2🔥1

17 Aug 2026, 07:07 UTC≈8,400 views3 reactionsread 28 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6146879467

2🥰1

17 Aug 2026, 07:07 UTC≈7,770 views10 reactionsread 28 August 2026
Photo

#汐梦瑶 #辰汐 #合集 #绿帽系列 《萨勒芬妮cos》 当二次元女友漫展cos萨勒芬妮被摄影师带走后会发送什么…… 合计2v发评论区了,点击评论区查看! #评论区拿资源 【361MB】

7👍2🔥1

16 Aug 2026, 08:21 UTC≈7,890 views12 reactionsread 28 August 2026
Photo

#汐梦瑶 #晨汐 #合集 #闺蜜系列 《汐梦瑶精液奥利奥》 瑶瑶找来闺蜜榨精绿帽老公,让闺蜜帮老公摸硬,插进骚穴里,两人手脚并用终于把老公搞射,汐梦瑶拿着奥利奥蘸精液吃,还让绿帽老公吃。40分钟完整版! 合计1v发评论区了,点击评论区查看! #评论区拿资源 【630MB】

8👍3🔥1

Showing the 12 most recent of 39 posts we hold for @luoli54. 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 2 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“推特萝莉 反差学生妹 母狗onlyfans” (@luoli54), 9,247 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/luoli54.

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.