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Channel
色色收藏小屋
@lanlanladydexiaowu
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
199subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003150556529 |
|---|---|
| Type | Channel |
| Username | @lanlanladydexiaowu |
| Created | Between 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 18 September 2026 |
| On Telegram | t.me/lanlanladydexiaowu |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 03:01 | 199 | +6 |
| 31 Aug 2026, 05:43 | 193 | +1 |
| 8 Aug 2026, 11:50 | 192 | no change |
| 7 Aug 2026, 19:29 | 192 | first reading |
Engagement
19 posts held, back to 31 May 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 22m 58s
- Average length
- 2m 33s
Measured directly from 9 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
6 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
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 3 of the 19 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 31 May 2026 to 25 July 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
Video, posted without a caption
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Photo, posted without a caption
❤2
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❤1
Video, posted without a caption
在传统中爱和性往往链接的比较紧密。但是我对这两者分的比较开,这两种事物给我带来的是截然不同的感受。 爱情会给我一种温馨快乐的感觉,像潺潺的流水一样滋润心田,会让我有呵护对方、爱护对方的冲动。我也会因为爱对方或者对方强势等原因做一个顺从者,但不会把自己放在附庸的地位,而且会平视甚至俯视这段关系。 性爱则是给我一种纯粹刺激的感觉,就像是汹涌的海浪,我会去追求更兴奋、更有趣的玩法和快乐。这会推动我奴性的迸发,让我心甘情愿做一段关系中的下位者甚至是奴隶。就像是毒品一样让我欲罢不能。 可惜的是这两个感受在我心中是对冲的,一方强大必然压倒另一方,无奈无奈。
发骚...我拍照的技术确实烂的一批...
《女帝》 原曲相虎,旧作升级,改造古风,淫词艳曲 hmv 媚黑 凝光 #琉璃狐 #媚黑 #淫词艳曲 #HMV
#媚黑 #淫词艳曲 #英语 #清姬の个人汉化 《watch mummy blacked》 尝试自己翻了一首BNWO的歌,但双语字幕做不大来。
#媚黑 #淫词艳曲 #琉璃狐 《媚黑女警花》 漫画原版:https://t.me/meiheimanhua/1286
媚黑人妻 作者:不明 #媚黑 #淫词艳曲 #HMV #VAM
Showing the 12 most recent of 19 posts we hold for @lanlanladydexiaowu. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“色色收藏小屋” (@lanlanladydexiaowu), 199 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/lanlanladydexiaowu.
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.