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Channel
深圳·乱世俏佳人榜单
@xxxmmmjjja
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
38,493subscribers
+6,081 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 | -1002557311171 |
|---|---|
| Type | Channel |
| Username | @xxxmmmjjja |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/xxxmmmjjja |
Topic
Other / unclassifiable — 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 65% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 11:57 | 38,493 | -39 |
| 6 Nov 2026, 09:36 | 38,532 | -29 |
| 5 Nov 2026, 07:08 | 38,561 | +17 |
| 4 Nov 2026, 09:30 | 38,544 | -4 |
| 3 Nov 2026, 06:28 | 38,548 | -10 |
| 2 Nov 2026, 08:41 | 38,558 | +26 |
| 1 Nov 2026, 09:36 | 38,532 | +53 |
| 31 Oct 2026, 08:55 | 38,479 | +22 |
| 30 Oct 2026, 11:48 | 38,457 | -27 |
| 29 Oct 2026, 10:49 | 38,484 | +5 |
| 28 Oct 2026, 09:06 | 38,479 | +32 |
| 25 Oct 2026, 11:56 | 38,447 | +21 |
| 24 Oct 2026, 10:46 | 38,426 | +82 |
| 23 Oct 2026, 12:19 | 38,344 | +88 |
| 22 Oct 2026, 12:41 | 38,256 | +61 |
| 21 Oct 2026, 06:19 | 38,195 | +91 |
| 20 Oct 2026, 06:44 | 38,104 | +37 |
| 19 Oct 2026, 07:56 | 38,067 | +94 |
| 18 Oct 2026, 09:16 | 37,973 | +136 |
| 17 Oct 2026, 06:17 | 37,837 | first reading |
Engagement
437 posts held, back to 6 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 169 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.19%
- avg views ÷ 38,493 subscribers
- Avg views / post
- 460
- 155 posts measured
- Reaction rate
- 0.163%
- reactions ÷ views · ER floor
- Posts in window
- 155
- of 437 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 44 of 155 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 437 (6 August 2026 – 6 November 2026) |
| Views total | 71,261 |
| Reactions total | 32 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 02:22 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
- 34m 58s
- Average length
- 9s
Measured directly from 228 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
123 reactions across 98 posts, in 6 distinct kinds. The most used accounts for 81.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 100 | 81.3% | |
| 👍 | 14 | 11.4% | |
| 🔥 | 3 | 2.44% | |
| 👎 | 2 | 1.63% | |
| 😍 | 2 | 1.63% | |
| 🥰 | 2 | 1.63% |
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 132 of the 437 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 123 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 437 most recent posts we hold, published 6 August 2026 to 6 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: 5 of 155 posts held from the last 30 days (3.23%) 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).
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❤1
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Showing the 12 most recent of 437 posts we hold for @xxxmmmjjja. 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 11 posts on @xxxmmmjjja 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
- 19 September 2026
- Most recent seen missing
- 28 October 2026
- Median time before seen missing
- 17 hours
- Seen missing in the last 30 days
- 2
Mentions
Named by 31 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@lotterybestnav · 168,77417 postsLotteryBest抽奖导航
@lotterynav · 193,47710 posts深圳兼职小茹
@sdfgffddd · 1982 posts敏敏的私密空间
@baoanlus1 · 1,7661 post福田呆呆小萝莉
@daidaiyang1 · 4541 postCarter
@dddyy3333 · 11 postwshekekoeei
@dhnsnwk · 1301 post小七的频道
@djkekel6938 · 1331 post桃桃的朋友圈
@futiantaotao · 2361 post苏XiXi大咪咪
@gzsn12 · 5301 post江月诗💗后花园
@Jsy088 · 151 post深圳福田柯美的后宫三千🔥🔥
@kemei18 · 1,2071 post菲菲后花园(兑奖私信新号)
@lsjsj69 · 941 post珍珍的圈子
@maid668899pd · 3511 post梦琪岛
@mengqidao · 2101 post娜娜 新人初次下海
@Minana06789 · 2781 post舒瑶后花园
@shuyao251 · 1,0871 post萝卜温暖🏠(南山区)
@sjwvvsnj772 · 2591 post深圳双飞姐妹花
@www459032 · 2,9361 post小云的后花园
@xinxin1165 · 6371 post西西私人空间😘
@XiXiHJM · 2811 post南山 08年嫩妹 诗诗
@yhaoyunlianlianpd · 6301 post南山塘朗一曼 07年新人刚下海
@ym70511 · 2,2691 post小曼玉后花园
@zhangbaizhi11 · 1,1651 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 2,457,72818 posts南山雅琪174个人兼职开课👛
@aguy678 · 9,87215 posts南山 林晚如
@hhh0589hh · 5,35315 posts健身教练蜜桃休息中
@mitaotaozhi · 12,05515 posts南山沈安琪精致御姐收U
@qxf88 · 11,73815 posts佛系媛媛酱🔥南山
@sakurayyjoo · 8,87915 posts深圳—美少女鉴赏
@shenzhenjianshang · 23,65315 posts天天免费抽奖
@tiantianchoujiang · 6,30915 posts小狗の温泉旅馆🏠
@xiantiaodoggy_vlog · 23,81515 posts深圳·乱世俏佳人
@abtmjojneneneny · 19,84010 postsLotteryBest抽奖导航
@lotterynav · 193,47710 posts深圳·乱世俏佳人(备用群)
@Sz_Choosese · 1,92310 posts🏅🏅深圳九五会所天花板🔥亲自安排火一手资源
@ZhuHaiMEI689 · 11,6919 posts深圳高端水疗会所 00后专场
@dsx26149 · 16,3318 posts深圳修车觅蚌交流群
@dsx6291 · 1,3167 postsLotteryBest Bot
@LotteryBestBot · 109,0965 posts深圳萝莉修车交流群
@sjsiz1888 · 1,1855 posts珠海_佛山_中山_江门94-95会所(SPA水会)
@zhuhaiGO8856 · 5614 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 5,3313 posts深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 1,0663 posts深圳福田美乐蒂抓龙筋丝足SM
@szmldpd · 6,9853 posts深圳南山05后半裸丝足抓龙筋 玉桂狗店
@szyggpd · 4,7773 posts南山樱花🌸境·疗愈セクシー抓龙筋SPA
@yhuajzlj88 · 8,4653 posts伊娃SM频道申请入口
@yiwa520520 · 2,4193 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.
Handles this channel named that no longer answer
- Dead references
- 6
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 6
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@xxxmmmjjja named 6 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 13 posts, 23 September 2026 – 29 September 2026 · confirmed gone 17 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 29 September 2026 – 30 September 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 8 August 2026 – 23 September 2026 · confirmed gone 31 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 8 August 2026 – 23 September 2026 · confirmed gone 31 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 26 September 2026 – 26 September 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 12 August 2026 – 12 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“深圳·乱世俏佳人榜单” (@xxxmmmjjja), 38,493 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xxxmmmjjja.
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.