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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 · Posts recorded as deleted · Citations · Cite this entry

33,141subscribers

+14,655 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 live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 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 the other topics.

Growth

18,48635,66327,074.533,1416 August 202613 November 2026
65 measurements spanning 98 days, net +14,655. 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 15,909–38,240 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 00:4733,141+1
10 Nov 2026, 18:1933,140+8
9 Nov 2026, 07:1533,132-92
7 Nov 2026, 22:1733,224-47
6 Nov 2026, 16:5033,271-12
5 Nov 2026, 17:5633,283+1
4 Nov 2026, 19:3033,282-7
3 Nov 2026, 22:0933,289-71
2 Nov 2026, 23:1033,360+3
1 Nov 2026, 20:2733,357-40
31 Oct 2026, 18:1933,397-2
30 Oct 2026, 17:0833,399-49
29 Oct 2026, 16:0833,448-34
28 Oct 2026, 18:4133,482-16
27 Oct 2026, 15:1633,498-53
26 Oct 2026, 17:1833,551-120
25 Oct 2026, 17:0533,671-156
24 Oct 2026, 19:4733,827-98
23 Oct 2026, 17:5733,925-285
22 Oct 2026, 19:1034,210first reading

Engagement

394 posts held, back to 4 August 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 181 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.75%
avg views ÷ 33,141 subscribers
Avg views / post
911
122 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
122
of 394 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 12 November 2026
Posts held394 (4 August 2026 – 12 November 2026)
Views total111,185
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:16 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

Photos
603
Videos
87
Links
160

Lifetime counters from Telegram’s own channel header, read 13 November 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
26m 18s
Average length
9s

Measured directly from 175 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 394 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 394 most recent posts we hold, published 4 August 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 10 of 122 posts held from the last 30 days (8.20%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 14:13 UTC799 viewsread 13 November 2026
Photo

📞昵称:#困困 ✅已审核 ❤️地区:#龙华 🪙学费:#800p #1500pp 🚀电报:@Kunkun6966 💭标签: #嫩妹 #萝莉 ps:拒绝踩雷评论区输入 嫩妹困困 查看狼友评价 ☎️预约上课

12 Nov 2026, 07:34 UTC≈1,040 viewsread 13 November 2026
Photo

📞昵称:#小美 ✅已审核 ❤️地区:#南山 #西丽 🪙学费:#700p #1400pp 🚀电报:@sutangtang88 💭标签: #嫩妹 #萝莉 #舌吻 #69 #丝袜 #情趣制服 #声音甜美 ps:拒绝踩雷评论区输入 我爱小美 查看狼友评价 ☎️预约上课

12 Nov 2026, 04:43 UTC≈1,130 viewsread 13 November 2026
Photo

📞昵称:#龙华贝贝 ✅已审核 ❤️地区:#龙华 🪙学费:#1300P 🚀电报:@bb888ls 💭标签: #嫩妹 ps:拒绝踩雷 评论区输入 龙华贝贝 查看狼友评价 ☎️预约上课

11 Nov 2026, 09:05 UTC≈1,450 viewsread 13 November 2026
Photo

📞昵称:#CC ✅已审核 ❤️地区:#龙华 🪙学费:#1200P 2100PP 🚀电报:@cc3877 💭标签: #嫩妹#御姐 ps:拒绝踩雷评论区输入 我爱CC 查看狼友评价 ☎️预约上课

11 Nov 2026, 06:06 UTC≈1,460 viewsread 13 November 2026
Photo

📞昵称:#桃子🍑 ✅已审核 ❤️地区:#罗湖 🪙学费:#1500p 🚀电报:@d99404 💭标签: #嫩妹 ps:拒绝踩雷评论区输入 我爱桃子 查看狼友评价 ☎️预约上课

10 Nov 2026, 14:31 UTC≈1,260 viewsread 12 November 2026
Photo

📞昵称:#心怡 ✅已审核 ❤️地区:#龙华 🪙学费:#1300p 2300pp 🚀电报: @qz123168 💭标签: #嫩妹 ps:拒绝踩雷评论区输入 嫩妹心怡 查看狼友评价 ☎️预约上课

10 Nov 2026, 11:12 UTC≈1,270 viewsread 12 November 2026
Photo

📞昵称:#西柚 ✅已审核 ❤️地区:#龙岗 🪙学费:#1300p 🚀电报:@xiyou345 💭标签: #嫩妹 长腿 大胸 舌吻 ps:拒绝踩雷评论区输入 龙岗西柚 查看狼友评价 ☎️预约上课

10 Nov 2026, 08:02 UTC≈1,160 viewsread 11 November 2026
Photo

💫今日的盲盒在一分钟内售罄了!!!恭喜小铁匠,黄焖鸡,水麟游,孙不眠,羊村群这五位手速党成功抢下五个宝贵名额,兑换盲盒成功👏🎉真是好运气呀~没抢到的岛友们,我们20号再见咯~ 盲盒每月上新日期为:1号,10号,20号💰

10 Nov 2026, 07:42 UTC855 viewsread 11 November 2026
Photo

📞昵称:#朝朝 ✅已审核 ❤️地区:#宝安 🪙学费:#700p 1300pp 🚀电报:@Zhaozhaooii 💭标签: #嫩妹#COS#大胸 #长腿 ps:拒绝踩雷评论区输入 宝安朝朝 查看狼友评价 ☎️预约上课

10 Nov 2026, 06:24 UTC642 viewsread 10 November 2026
Photo

📞昵称:#小宁 ✅已审核 ❤️地区:#福田 🪙学费:#2000p 🚀电报:@xiaoning06 💭标签: #嫩妹 #舌吻 #大胸 ps:拒绝踩雷评论区输入 福田小宁 查看狼友评价 ☎️预约上课

10 Nov 2026, 06:14 UTC116 viewsread 10 November 2026
Photo

📞昵称:#夏可可 ✅已审核 ❤️地区:#南山 🪙学费:#1900p 🚀电报:@xiakeke05 💭标签: #御姐 #长腿 #舌吻 ps:拒绝踩雷评论区输入 空姐夏可可 查看狼友评价 ☎️预约上课

10 Nov 2026, 06:06 UTC133 viewsread 10 November 2026
Photo

📞昵称:#歪歪 ✅已审核 ❤️地区:#福田 🪙学费:#800p 🚀电报:@wai3079 💭标签: #嫩妹 #舌吻 #长腿 #大胸 ps:拒绝踩雷评论区输入 我爱歪歪 查看狼友评价 ☎️预约上课

Showing the 12 most recent of 394 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 4 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 October 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @luolibang as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
14 August 2026
Most recent seen missing
21 October 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
1

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 13 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳嫩妹萝莉榜(重生版)” (@luolibang), 33,141 subscribers as measured 13 November 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.