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Channel
迪拜/二手物品/二手交易
@YYL119
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,787subscribers
-26,927 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001505382747 |
|---|---|
| Type | Channel |
| Usernames | @dubai9 @YYL119 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 16 October 2026 |
| Measurements held | 42 |
| Confirmed unchanged | 1 time, most recently 16 October 2026 |
| On Telegram | t.me/YYL119 |
Topic
Gambling & betting — 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 83% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Oct 2026, 19:58 | 15,787 | +5,753 |
| 16 Oct 2026, 11:28 | 10,034 | -13 |
| 15 Oct 2026, 21:06 | 10,047 | +2,768 |
| 13 Oct 2026, 19:57 | 7,279 | -72 |
| 13 Oct 2026, 00:57 | 7,351 | -27,881 |
| 10 Oct 2026, 07:17 | 35,232 | -61 |
| 8 Oct 2026, 14:18 | 35,293 | -265 |
| 6 Oct 2026, 02:20 | 35,558 | -127 |
| 4 Oct 2026, 04:38 | 35,685 | -167 |
| 30 Sept 2026, 20:20 | 35,852 | -230 |
| 25 Sept 2026, 12:40 | 36,082 | -562 |
| 19 Sept 2026, 04:21 | 36,644 | -36 |
| 18 Sept 2026, 03:59 | 36,680 | -123 |
| 16 Sept 2026, 16:01 | 36,803 | -78 |
| 15 Sept 2026, 21:39 | 36,881 | -293 |
| 14 Sept 2026, 19:37 | 37,174 | -306 |
| 14 Sept 2026, 05:37 | 37,480 | -187 |
| 13 Sept 2026, 07:01 | 37,667 | -336 |
| 12 Sept 2026, 16:00 | 38,003 | -470 |
| 11 Sept 2026, 06:36 | 38,473 | first reading |
Engagement
1,037 posts held, back to 15 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 99 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.4%
- avg views ÷ 15,787 subscribers
- Avg views / post
- 1,960
- 527 posts measured
- Reaction rate
- 0.049%
- reactions ÷ views · ER floor
- Posts in window
- 528
- of 1,037 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 17 of 527 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 1,037 (15 August 2026 – 12 October 2026) |
| Views total | 1,031,848 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 19:18 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
- 26m 45s
- Average length
- 7s
Measured directly from 225 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
25 reactions across 25 posts, in 7 distinct kinds. The most used accounts for 32.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 32.0% | |
| 👍 | 5 | 20.0% | |
| 🤩 | 5 | 20.0% | |
| 🔥 | 3 | 12.0% | |
| 👏 | 2 | 8.00% | |
| 🎉 | 1 | 4.00% | |
| 😁 | 1 | 4.00% |
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 28 of the 1,000 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 August 2026 to 12 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
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Showing the 12 most recent of 1,037 posts we hold for @YYL119. 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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@MK888bot · 12,67451 postsX6宝马会-官方频道
@x6x6 · 12,71345 posts成年人影库|高清资源每日更新
@cnryk · 1,32642 posts全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 8,48442 postsG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,23942 posts东南亚大事件|华人新闻|热点爆料
@SEAUPD · 10,89042 posts成人小说|情色小说|小说精选
@SYXS88 · 2,18842 postsG7环球|官方福利俱乐部
@wwwG7com · 4,17542 posts足球圈—G7.COM独家冠名
@zhuqiu7 · 2,36442 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 4,86039 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 1,99538 postsN9.COM|官方频道
@N9_com1 · 12,93028 postsN9.COM 福利频道导航
@n9pd888 · 7,29928 postsmagic88官方交流群
@Magic88_VIP · 6,74627 posts凯旋娱乐 官方频道
@kxggg · 6,25124 posts小宝的能量基地 @hu520
@hu520 · 1,38923 postsJ.VIP官方频道 担保200万美金
@jvip888 · 3,27822 postsW国际官方频道 @W123
@WCCGF · 3,59220 posts78.COM-官方频道@DF78
@tg78com · 28,47717 postskangni0915
@kangni0915 · 179 posts迪拜美女公开榜
@DBnb222 · 1,5235 posts迪拜修车✨金澜汇 轻奢顶美俱乐部
@DBnb555 · 1,0665 postsUU国际丨赢钱俱乐部
@WWW6ACOM · 4,2134 posts亚太国际-86.Net
@uu886bot · 10,6191 post
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 16 October 2026 — this entry's latest reading, not the date you are reading this.
“迪拜/二手物品/二手交易” (@YYL119), 15,787 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/YYL119.
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.