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Channel

深圳嫩妹萝莉榜(重生版)

@luolibang

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

33,032subscribers

+14,546 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003839956698
TypeChannel
Username@luolibang
Description深圳萝莉聚集地 挂榜联系 @pangniu1bot 岛: @SZNMLLD1 榜: @luolibang 录: @SZNMLLL3
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/luolibang

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 94% 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

18,48633,03225,7596 August 2026 — 18,486 subscribers7 August 2026 — 18,521 subscribers8 August 2026 — 18,533 subscribers9 August 2026 — 18,560 subscribers10 August 2026 — 18,594 subscribers11 August 2026 — 18,604 subscribers12 August 2026 — 18,629 subscribers14 August 2026 — 18,651 subscribers15 August 2026 — 18,723 subscribers17 August 2026 — 18,789 subscribers18 August 2026 — 18,914 subscribers19 August 2026 — 20,290 subscribers20 August 2026 — 26,348 subscribers21 August 2026 — 26,345 subscribers22 August 2026 — 32,693 subscribers24 August 2026 — 32,660 subscribers25 August 2026 — 32,693 subscribers26 August 2026 — 32,702 subscribers27 August 2026 — 32,761 subscribers28 August 2026 — 32,798 subscribers29 August 2026 — 32,821 subscribers30 August 2026 — 32,872 subscribers31 August 2026 — 32,917 subscribers1 September 2026 — 32,918 subscribers2 September 2026 — 32,938 subscribers3 September 2026 — 32,942 subscribers5 September 2026 — 33,004 subscribers8 September 2026 — 33,032 subscribers6 August 20268 September 2026
28 measurements spanning 33 days, net +14,546. 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 16,304–35,214 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
8 Sept 2026, 22:2233,032+28
5 Sept 2026, 15:2133,004+62
3 Sept 2026, 16:1832,942+4
2 Sept 2026, 07:0532,938+20
1 Sept 2026, 09:1732,918+1
31 Aug 2026, 08:5332,917+45
30 Aug 2026, 09:0232,872+51
29 Aug 2026, 06:2632,821+23
28 Aug 2026, 08:4832,798+37
27 Aug 2026, 06:1932,761+59
26 Aug 2026, 05:1232,702+9
25 Aug 2026, 06:4532,693+33
24 Aug 2026, 07:0332,660-33
22 Aug 2026, 14:0832,693+6,348
21 Aug 2026, 02:2826,345-3
20 Aug 2026, 02:2826,348+6,058
19 Aug 2026, 04:4720,290+1,376
18 Aug 2026, 08:1118,914+125
17 Aug 2026, 10:2418,789+66
15 Aug 2026, 15:5518,723first reading

Engagement

150 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.09%
avg views ÷ 33,032 subscribers
Avg views / post
1,020
129 posts measured
Reaction rate
0.105%
reactions ÷ views · ER floor
Posts in window
129
of 150 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 57 of 129 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 September 2026
Posts held150 (4 August 20268 September 2026)
Views total131,669
Reactions total64
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 04:54 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
525
Videos
103
Links
152

Lifetime counters from Telegram’s own channel header, read 9 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
11m 27s
Average length
9s

Measured directly from 77 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

77 reactions across 50 posts, in 5 distinct kinds. The most used accounts for 84.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6584.4%
💩67.79%
👍45.19%
👎11.30%
🤮11.30%

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 68 of the 150 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 4 August 2026 to 8 September 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 Sept 2026, 12:45 UTC≈1,060 views1 reactionsread 9 September 2026
Photo

🕯萝莉岛九月狂欢第三弹🕯 网黄报告征集来啦~❤️ 新的一月新的开始,让我们看看谁是萝莉岛第一大才子🍷 活动时间:9.8下午三点—9.30下午五点 活动规则:本月报告数量排名,前五皆可得到红包补贴🕯如出现数量一致的情况,则根据学生报告质量进行排名。(注:小宝只收在榜老师的报告哟~😉) 活动严抓弄虚作假,炸号作废,如出现此种情况中奖名额顺延。 第一520🧧🧧🧧,特殊头衔:网黄名探⭐(只有第一名有哟~❤️) 第二333🧧🧧🧧, 第三188🧧🧧🧧, 第四128🧧🧧🧧, 第五100🧧🧧🧧 特殊奖:88🧧🧧🧧(小宝将根据它个人喜好随机掉落😉😉😉据说写的浪漫真实的报告或非常嘿嘿嘿的报告它会更喜欢哟~) 特殊奖无上限哦~中特殊奖的报告将会全天轮播,小宝邀大家一起欣赏~🕯 报告分享: @xiaobaobaogaobot 中奖联系: @xiaobaobaogaobot 本月排名🕯: 1,日向翔阳✖️1 2, T✖️1 3,BeauNancy✖️1

1

8 Sept 2026, 12:07 UTC≈1,090 viewsread 9 September 2026
Photo

🕯第一份特殊奖已经送出🕯 让我们恭喜第一位才子,报告真是看的小宝热血沸腾啊🥵 https://t.me/SZNMLLL3/7383 好东西大家一起分享🕯期待下一位才子的精彩文章

8 Sept 2026, 08:36 UTC≈1,090 views1 reactionsread 9 September 2026
Photo

📞昵称:#小慧 ✅已审核 ❤️地区:#宝安 🪙学费:#900p 🚀电报:@xiaohui8861 💭标签: #嫩妹 ps:拒绝踩雷评论区输入 我爱小慧 查看狼友评价 ☎️预约上课

1

8 Sept 2026, 07:36 UTC≈1,070 viewsread 9 September 2026
Photo

📞昵称:#黑猫 ✅已审核 ❤️地区:#宝安 🪙学费:#1000p 🚀电报:@ayuxin9 💭标签: #嫩妹 #cos #萝莉 #舌吻 ps:拒绝踩雷 评论区输入 cos黑猫 查看狼友评价 ☎️预约上课

7 Sept 2026, 15:32 UTC≈1,220 views1 reactionsread 9 September 2026
Photo

📞昵称:#小乐乐 ✅已审核 ❤️地区:#南山 🪙学费:#600p 🚀电报:@xiaolele118 💭标签: #嫩妹 #毛少 #蛇纹 #69 #可拍小视频 ps:拒绝踩雷评论区输入 南山小乐乐 查看狼友评价 ☎️预约上课

1

7 Sept 2026, 15:27 UTC≈1,200 views1 reactionsread 9 September 2026
Photo

📞昵称:#思雨 ✅已审核 ❤️地区:#福田 🪙学费:#1100p 🚀电报:@sydtv_hhbb 💭标签: #嫩妹 ps:拒绝踩雷评论区输入 福田思雨 查看狼友评价 ☎️预约上课

1

7 Sept 2026, 14:17 UTC≈1,320 viewsread 9 September 2026
Photo

🕯活动征集已兑奖5205️⃣2️⃣0️⃣,期待下一位才子为萝莉岛带来下个精彩🕯 ❤️征集大舞台,有才你就来🕯

7 Sept 2026, 11:48 UTC≈1,790 viewsread 9 September 2026
Photo

🕯萝莉岛九月红包狂欢第二弹🕯 发言随机掉落: 1,我 2,爱 3,萝 4,莉 5,岛 集齐五个字组成”我爱萝莉岛“即可换188元🧧🧧🧧

7 Sept 2026, 10:12 UTC≈1,020 views0 reactionsread 8 September 2026
Photo

📞昵称:#小西 ✅已审核 ❤️地区:#南山 🪙学费:#800p 🚀电报:@xiaoxi126 💭标签: #嫩妹 #大胸 #舌吻 ps:拒绝踩雷评论区输入 南山小西 查看狼友评价 ☎️预约上课

7 Sept 2026, 08:51 UTC≈1,030 viewsread 8 September 2026
Photo

📞昵称:#秋水 ✅已审核 ❤️地区:#南山 🪙学费:#1200p 🚀电报:@qiu807 💭标签: #长腿 #舌吻 ps:拒绝踩雷评论区输入 南山秋水 查看狼友评价 ☎️预约上课

7 Sept 2026, 07:32 UTC≈1,040 viewsread 8 September 2026
Photo

📞昵称:#小桃 ✅已审核 ❤️地区:#罗湖 🪙学费:#700p 🚀电报:@pp696988 💭标签: #嫩妹 #大长腿 #大胸 #新下海 ps:拒绝踩雷评论区输入 罗湖小桃 查看狼友评价 ☎️预约上课

6 Sept 2026, 12:36 UTC957 views2 reactionsread 7 September 2026
Photo

📞昵称:#曼曼 ✅已审核 ❤️地区:#龙华 🪙学费:#1000p 🚀电报:@mmzq9 💭标签: #嫩妹 长腿 #舌吻 #六九 ps:拒绝踩雷 评论区输入 我爱曼曼 查看狼友评价 ☎️预约上课

2

Showing the 12 most recent of 150 posts we hold for @luolibang. 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.

Posts edited after publishing

@luolibang edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
16 August 2026
Most recent edit
27 August 2026

Mentions

Named by 9 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.

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

“深圳嫩妹萝莉榜(重生版)” (@luolibang), 33,032 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/luolibang.

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.