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Channel

深圳萝莉报告录

@SZNMLLL3

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

19,209subscribers

+1,541 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002675338525
TypeChannel
Username@SZNMLLL3
Description深圳萝莉聚集地 挂榜联系 @pangniu1bot 岛: @SZNMLLD1 榜: @SZNMLLD2 录: @SZNMLLL3
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/SZNMLLL3

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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

17,66719,20918,4386 August 202611 November 2026
65 measurements spanning 96 days, net +1,541. 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 17,436–19,440 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 07:0019,209+21
9 Nov 2026, 15:1719,188+11
8 Nov 2026, 10:3719,177+14
7 Nov 2026, 03:4719,163+28
6 Nov 2026, 02:5919,135+7
5 Nov 2026, 05:0119,128+35
4 Nov 2026, 05:4019,093-21
3 Nov 2026, 05:3819,114-25
2 Nov 2026, 01:5019,139+20
1 Nov 2026, 00:1719,119+20
31 Oct 2026, 01:2719,099+4
30 Oct 2026, 00:3719,095-4
28 Oct 2026, 21:5919,099+25
28 Oct 2026, 00:2119,074+12
26 Oct 2026, 22:3519,062+15
25 Oct 2026, 22:5019,047+16
24 Oct 2026, 19:2719,031+26
23 Oct 2026, 20:3619,005+21
22 Oct 2026, 20:0918,984+18
21 Oct 2026, 12:4718,966first reading

Engagement

268 posts held, back to 1 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 79 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.59%
avg views ÷ 19,209 subscribers
Avg views / post
882
64 posts measured
Reaction rate
0.093%
reactions ÷ views · ER floor
Posts in window
64
of 268 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 29 of 64 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 13 November 2026
Posts held268 (1 August 2026 – 13 November 2026)
Views total56,422
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 04:49 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
≈1,620
Videos
≈20
Links
≈3,500

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. 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
19s
Average length
6s

Measured directly from 3 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

74 reactions across 63 posts, in 2 distinct kinds. The most used accounts for 98.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7398.6%
👎11.35%

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 88 of the 268 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 74 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 268 most recent posts we hold, published 1 August 2026 to 13 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: 3 of 64 posts held from the last 30 days (4.69%) 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).

13 Nov 2026, 04:46 UTC11 viewsread 13 November 2026

【萝莉报告】:[https://t.me/SZLLJJD] 【所在位置】: #福田 【老师艺名】: #沐欣 【联系方式】: @futianxiaohui000 【老师频道】: @futianxiaohui111 【验证留名】: 星沉 【验证时间】: 2026年11月13日 【上课价位】: 600 【颜值身材】: 身高约1米5,身材匀称,外形条件相当不错。 【服务内容】: 环保 【服务态度】: 贴心周到,进门前已提前开好空调,互动氛围轻松愉快。 【优点缺点】: 优点是细节到位(提前开空调),服务极具魅惑力,节奏把控完美,体验感超群;缺点是没有陪浴服务,有点可惜。 【推荐程度】: 9.5分(体验极佳,意犹未尽) 【体验细节】: 提前预约了沐欣老师的课,刚跑完步, 身体很热,推门瞬间迎面扑来凉爽的空调风,体感极其舒适。初见时老师身高约莫一米五,身段玲珑有致。交完水费沐浴完毕,两人便进入房间直奔主题。整个过程大约十五分钟左右,状态相当火…

12 Nov 2026, 17:30 UTC230 viewsread 13 November 2026

【萝莉报告】:[https://t.me/SZLLJJD] 【所在位置】: 宝安 【老师艺名】: 念念 【联系方式】:@ccb148 【验证留名】: hhd57 【验证时间】:7.11 【上课价位】: 2000pp 【颜值身材】: 人照一致 身材比例真的绝了 大胸大长腿 不愧是童颜巨乳 【服务内容】: 课表上都有 【服务态度】: 满意。没有哪里不耐烦的 【优点缺点】: 本人比照片漂亮。服务也好没有什么缺点 【推荐程度】: 9.9 【体验细节】:联系好老师 交了定金老师就甩位置了。然后遥控上楼 进门看见一双黑丝大长腿。人也好看 果断交了水费 然后洗澡 服务液特别好尤其是胸推 大家一定要体验一下。总之哪里都挺满意的ne ✍️报告提交点击[ @xiaobaobaogaobot ] 注:(提交报告需要提供相关证明,如聊天记录,付款记录等) 岛上专员严查假报告!写手代写出门右转

12 Nov 2026, 14:53 UTC331 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 👇点击查看相关报告

11 Nov 2026, 09:21 UTC697 views0 reactionsread 13 November 2026
Photo

📞昵称:#水咲泷拉 ✅已审核 ❤️地区:#南山 🪙学费:#1200p 🚀电报: @sxbabybb 💭标签: #御姐 👇点击查看相关报告

11 Nov 2026, 09:20 UTC631 viewsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:16 UTC551 viewsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:16 UTC504 views0 reactionsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:15 UTC443 viewsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:15 UTC411 viewsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:12 UTC385 viewsread 13 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 👇点击查看相关报告

11 Nov 2026, 09:12 UTC412 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 👇点击查看相关报告

11 Nov 2026, 09:12 UTC404 views1 reactionsread 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 👇点击查看相关报告

❤1

Showing the 12 most recent of 268 posts we hold for @SZNMLLL3. 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 recorded as deleted after publishing

We recorded 4 posts on @SZNMLLL3 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
24 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
1

Forward network

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 8 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳萝莉报告录” (@SZNMLLL3), 19,209 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/SZNMLLL3.

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.