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Channel

推特反差母狗学生萝莉

@luolifang

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

31,328subscribers

-824 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-1001198608941
TypeChannel
Username@luolifang
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 October 2026
Measurements held54
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.me/luolifang

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 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 the other topics.

Growth

31,32832,31731,822.57 August 2026 — 32,152 subscribers7 August 2026 — 32,152 subscribers7 August 2026 — 32,153 subscribers8 August 2026 — 32,164 subscribers9 August 2026 — 32,168 subscribers10 August 2026 — 32,184 subscribers11 August 2026 — 32,203 subscribers12 August 2026 — 32,224 subscribers14 August 2026 — 32,211 subscribers15 August 2026 — 32,216 subscribers16 August 2026 — 32,234 subscribers17 August 2026 — 32,226 subscribers18 August 2026 — 32,236 subscribers19 August 2026 — 32,241 subscribers20 August 2026 — 32,253 subscribers21 August 2026 — 32,260 subscribers23 August 2026 — 32,279 subscribers24 August 2026 — 32,293 subscribers26 August 2026 — 32,300 subscribers27 August 2026 — 32,302 subscribers28 August 2026 — 32,303 subscribers29 August 2026 — 32,317 subscribers30 August 2026 — 32,313 subscribers31 August 2026 — 32,303 subscribers1 September 2026 — 32,294 subscribers2 September 2026 — 32,279 subscribers3 September 2026 — 32,254 subscribers4 September 2026 — 32,215 subscribers7 September 2026 — 32,162 subscribers10 September 2026 — 32,097 subscribers12 September 2026 — 32,049 subscribers14 September 2026 — 32,000 subscribers15 September 2026 — 31,961 subscribers18 September 2026 — 31,919 subscribers30 September 2026 — 31,639 subscribers5 October 2026 — 31,583 subscribers9 October 2026 — 31,536 subscribers13 October 2026 — 31,494 subscribers14 October 2026 — 31,480 subscribers15 October 2026 — 31,467 subscribers16 October 2026 — 31,457 subscribers17 October 2026 — 31,449 subscribers18 October 2026 — 31,441 subscribers19 October 2026 — 31,435 subscribers20 October 2026 — 31,423 subscribers22 October 2026 — 31,416 subscribers23 October 2026 — 31,409 subscribers24 October 2026 — 31,396 subscribers25 October 2026 — 31,388 subscribers26 October 2026 — 31,380 subscribers27 October 2026 — 31,368 subscribers28 October 2026 — 31,350 subscribers29 October 2026 — 31,343 subscribers30 October 2026 — 31,328 subscribers7 August 202630 October 2026
54 measurements spanning 84 days, net -824. 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 31,180–32,465 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)SubscribersChange
30 Oct 2026, 15:0531,328-15
29 Oct 2026, 16:4631,343-7
28 Oct 2026, 15:0731,350-18
27 Oct 2026, 11:5631,368-12
26 Oct 2026, 08:2731,380-8
25 Oct 2026, 09:0431,388-8
24 Oct 2026, 07:5531,396-13
23 Oct 2026, 06:0731,409-7
22 Oct 2026, 02:5931,416-7
20 Oct 2026, 22:1831,423-12
19 Oct 2026, 18:5931,435-6
18 Oct 2026, 20:1831,441-8
17 Oct 2026, 20:0831,449-8
16 Oct 2026, 17:0831,457-10
15 Oct 2026, 20:3931,467-13
14 Oct 2026, 22:5931,480-14
13 Oct 2026, 16:3731,494-42
9 Oct 2026, 20:5931,536-47
5 Oct 2026, 17:2131,583-56
30 Sept 2026, 01:4231,639first reading

Engagement

62 posts held, back to 23 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 143 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.3%
avg views ÷ 31,328 subscribers
Avg views / post
4,780
40 posts measured
Reaction rate
0.078%
reactions ÷ views · ER floor
Posts in window
40
of 62 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 29 October 2026
Posts held62 (23 July 2026 – 29 October 2026)
Views total191,200
Reactions total149
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Oct 2026, 08:52 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
55s
Average length
9s

Measured directly from 6 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

362 reactions across 59 posts, in 8 distinct kinds. The most used accounts for 84.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤30684.5%
👍4512.4%
🥰30.829%
😍20.552%
🤔20.552%
🤡20.552%
🔥10.276%
😁10.276%

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 62 of the 62 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 362 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 23 July 2026 to 29 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

29 Oct 2026, 15:45 UTC≈1,320 views3 reactionsread 30 October 2026
Photo

#李娜娜 #极品 #反差 #母狗 .87 《李娜娜极品反差醉态调教无套硬上母狗吞精》 极品反差小母狗李娜娜,喝得醉醺醺全身瘫软毫无防备,被大神无套硬上彻底榨精,醉意中越发上瘾享受调教,无套内射疯狂吞精,反差婵姿态百出,从瘫软瘫床上被后入到口含纸巾吞精,全程无套猛烈操逼 🦇点击此处蓝色字体查看完整版

❤3

29 Oct 2026, 15:45 UTC≈1,330 views1 reactionsread 30 October 2026
Photo

#张津瑜 #反差 #母狗 《中国警察网记者津瑜反差调教原档》 高颜值气质美女张津瑜,从端庄记者到被金主调教成跪求操的母狗,白裙红车日常反差感拉满,深夜酒店桌跪俯身嫩穴特写,极致反差反差魅魔 🦇点击此处蓝色字体查看完整版

❤1

28 Oct 2026, 15:45 UTC≈2,460 views2 reactionsread 30 October 2026
Photo

#软莹莹 #巨乳 #maodjia 《巨乳福利姬软莹莹镜面自慰骚穴喷水黑丝翘臀》 极品高颜值巨乳福利姬软莹莹,对镜拉扯花裙爆开硕大垂坠双乳,手指探入湿透粉嫩小穴疯狂揉搓,骚水顺腿根狂流满地狼藉,最后换上黑丝蕾丝爆乳翘臀,跪床撅起肥臀配合猛操榨精 🦇点击此处蓝色字体查看完整版

❤2

28 Oct 2026, 15:45 UTC≈2,440 views1 reactionsread 30 October 2026
Photo

#芝士喵 #zhishim26 #汉服 #白虎 《芝士喵极品汉服白虎萝莉粉嫩嫩穴自慰原档》 极品高颜值白虎萝莉芝士喵,粉色碎花汉服Cos清纯可人,白嫩大长腿搭配白色长筒袜,娇小身材大奶子,粉嫩白虎嫩穴自慰,粉色玩具深入紧致花径,画面刺激 🦇点击此处蓝色字体查看完整版

❤1

27 Oct 2026, 15:45 UTC≈3,140 views10 reactionsread 30 October 2026
Photo

#甜宝 #xieci78767292 #水手服 #白丝 《甜宝极品水手服白丝清纯女大自慰》 高颜值清纯女大甜宝,灰色水手服搭配白丝长筒袜,双马尾造型甜美诱人。视频展示从更衣到全裸自慰过程,粉嫩乳头与白虎嫩穴一览无余,白丝包裹的玉腿紧致诱人,5分钟高清无码原档。 🦇点击此处蓝色字体查看完整版

❤6👍4

27 Oct 2026, 15:45 UTC≈3,140 views4 reactionsread 30 October 2026
Photo

#BNDBJKXF #福利姬 #白虎 #巨乳 《极品福利姬白虎巨乳萝莉沉浸式福利》 极品高颜值白虎巨乳萝莉,黑丝白袜红裙多套造型,大长腿白嫩身材诱惑拉满,私密处无毛白虎嫩穴紧致,视频含沉浸式互动与特写,高清原档无水印 🦇点击此处蓝色字体查看完整版

❤4

26 Oct 2026, 15:45 UTC≈3,650 views1 reactionsread 30 October 2026
Photo

#意宝 #Cosplay #福利姬 #白虎 《意宝极品Cos福利姬白虎嫩穴自慰合集》 极品高颜值白虎福利姬意宝,多款Cosplay造型合集,旗袍、女仆、兔女郎等百变造型,白嫩大长腿紧致嫩穴,透明玩具深入自慰,粉嫩花唇紧致吸吮,高潮不断淫水横流,5套58分钟高清无码,持续更新中 🦇点击此处蓝色字体查看完整版

❤1

26 Oct 2026, 15:45 UTC≈3,580 views3 reactionsread 30 October 2026
Photo

#菟菟 #Cos福利 #白虎 #萝莉 《菟菟极品Cos白虎萝莉福利姬合集》 极品高颜值白虎萝莉菟菟,红白巫女服白虎嫩穴,面具遮面清纯御姐,红绳绑腿白虎粉嫩嫩穴紧致,原档无水印深喉口交,后入女上骑乘猛烈榨精,对白刺激白虎嫩穴 🦇点击此处蓝色字体查看完整版

❤3

25 Oct 2026, 15:45 UTC≈4,250 views3 reactionsread 30 October 2026
Photo

#18jkpeach #仙仙桃 #白虎萝莉 #Cosplay 《18jkpeach极品白虎萝莉Cosplay福利合集》 高颜值白虎萝莉仙仙桃,多款Cosplay造型合集,清纯女大与二次元角色的完美融合,黑丝白丝、水手服、洛丽塔裙装轮番上阵,镜头下白虎嫩穴紧致诱人,福利满满持续更新中 🦇点击此处蓝色字体查看完整版

👍2❤1

25 Oct 2026, 15:45 UTC≈4,120 views2 reactionsread 30 October 2026
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#珊迪 #白丝 #体操服 #深喉 《珊迪极品白丝御姐体操服深喉内射》 高颜值白丝御姐珊迪,身穿蓝白体操服戴口罩,深喉口交湿滑紧致,多角度无套内射,后入骑乘猛烈榨精,白丝大长腿诱惑拉满 🦇点击此处蓝色字体查看完整版

👍2

24 Oct 2026, 15:45 UTC≈4,330 views3 reactionsread 29 October 2026
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#优优 #昔涟 #星穹铁道 #白虎 《优优极品昔涟Cos白虎嫩穴口交原档》 极品高颜值昔涟Cos白虎小姐姐,星空紫纱裙搭配精致蕾丝丝袜,完美还原角色魅力,原档无水印深喉口交,后入女上骑乘猛烈榨精,白虎粉嫩嫩穴紧致 🦇点击此处蓝色字体查看完整版

👍3

24 Oct 2026, 15:45 UTC≈4,210 views5 reactionsread 29 October 2026
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#喵叽小糯 #糖心VLOG #黑丝兔女郎 #房东的骚女儿 《房东的骚女儿—色播被发现张开嫩穴主动勾引》 清纯女大学生喵叽小糯,白天直播软萌声线勾引粉丝,深夜被房东陈伯撞破秘密。身穿黑白兔女郎装搭配黑丝,被识破后主动张开嫩穴求欢,从沙发到床铺疯狂肉战,高潮失禁喊出“我是小狗”,私密原档无水印,全程真实反应,白虎嫩穴紧致吸精,房东专属福利。 🦇点击此处蓝色字体查看完整版

👍3❤2

Showing the 12 most recent of 62 posts we hold for @luolifang. 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 30 October 2026 — this entry's latest reading, not the date you are reading this.

“推特反差母狗学生萝莉” (@luolifang), 31,328 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/luolifang.

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.