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Channel

深圳颜值选妃榜(公益榜)

@shenzhenyznm

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry

44,172subscribers

+17,191 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002155805211
TypeChannel
Username@shenzhenyznm
Description【事务管理】 @shenzhen798bot 【上榜管理】 @xin798xin 【聊天大群】 @shenzhenyanzhi 【自助报告】 @shenzhennenmeibot
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live17 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/shenzhenyznm

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 73% 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

26,98144,17235,576.511 August 2026 — 26,981 subscribers12 August 2026 — 27,055 subscribers13 August 2026 — 27,495 subscribers14 August 2026 — 28,390 subscribers16 August 2026 — 29,051 subscribers17 August 2026 — 29,552 subscribers18 August 2026 — 29,990 subscribers19 August 2026 — 30,493 subscribers20 August 2026 — 31,193 subscribers22 August 2026 — 31,997 subscribers23 August 2026 — 32,606 subscribers25 August 2026 — 33,302 subscribers26 August 2026 — 33,739 subscribers27 August 2026 — 34,121 subscribers28 August 2026 — 34,614 subscribers29 August 2026 — 35,067 subscribers30 August 2026 — 35,384 subscribers30 August 2026 — 35,736 subscribers31 August 2026 — 36,132 subscribers1 September 2026 — 36,442 subscribers2 September 2026 — 36,833 subscribers4 September 2026 — 37,327 subscribers6 September 2026 — 38,837 subscribers9 September 2026 — 40,330 subscribers12 September 2026 — 41,861 subscribers13 September 2026 — 42,333 subscribers15 September 2026 — 43,167 subscribers17 September 2026 — 44,172 subscribers11 August 202617 September 2026
28 measurements spanning 37 days, net +17,191. 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 24,402–46,751 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
17 Sept 2026, 12:3844,172+1,005
15 Sept 2026, 11:2143,167+834
13 Sept 2026, 21:5742,333+472
12 Sept 2026, 04:2141,861+1,531
9 Sept 2026, 22:2240,330+1,493
6 Sept 2026, 18:1638,837+1,510
4 Sept 2026, 04:3637,327+494
2 Sept 2026, 19:4836,833+391
1 Sept 2026, 17:5336,442+310
31 Aug 2026, 17:4436,132+396
30 Aug 2026, 21:0435,736+352
30 Aug 2026, 00:0835,384+317
29 Aug 2026, 00:3535,067+453
28 Aug 2026, 00:4234,614+493
27 Aug 2026, 01:2334,121+382
26 Aug 2026, 03:5233,739+437
25 Aug 2026, 02:5633,302+696
23 Aug 2026, 18:4532,606+609
22 Aug 2026, 06:3431,997+804
20 Aug 2026, 20:4531,193first reading

Engagement

23 posts held, back to 9 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.00%
avg views ÷ 44,172 subscribers
Avg views / post
1,330
11 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
11
of 23 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 22 September 2026
Posts held23 (9 August 202622 September 2026)
Views total14,590
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 21:44 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
866
Videos
206
Links
187

Lifetime counters from Telegram’s own channel header, read 22 September 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
1m 02s
Average length
8s

Measured directly from 8 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.

Recent posts

22 Sept 2026, 06:21 UTC200 viewsread 22 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5995864524

17 Sept 2026, 06:51 UTC≈1,200 viewsread 22 September 2026
Photo

👑 :仙儿 💰:500P 900PP 💌:@Xiao12Yx 🪩:深圳龙岗坂田 🏷: #龙岗区 #舌吻 #制服 #性价比 Telegram group: @shenzhen1

12 Sept 2026, 14:19 UTC≈1,900 viewsread 22 September 2026
Photo

🔥✒️🧡🧡💚🖤🔥点击导航🔥 😀😀全裸高端会所SPA 📱📱📱📱 4️⃣ 🔤 🐻胸推 👋手推 👠足推 📱臀推 🍒果冻 🐉毒龙 💦过水 👩‍🦰漫游 👄舌滑 🐻胸滑 👋指滑 🦶丝足 😛舔棍 🤓添蛋 📱添鲍 😍kiss 📱 📱 😀 😀😀😀😀 尽情手撕 原味丝可带走 ——1.谨防指南💋 ——2.好评参💋 🍒😀😀😀😀🍒 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 深圳全区😫南山 福田 罗湖 龙华 宝安 龙岗 盐田 坪山😣跳转 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎💎💎💎💎💎💎💎💎💎 💘预约客服🦋 客服TG号:@szya0052 双向机器人 @szcqr_bot 关注频道不迷路https://t.me/szlhsh 🫠🫠 🫠🫠🫠🫠🫠🫠🫠🫠 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ ❤️❤️❤️#深圳SPA推荐 #深圳高端私密会所

10 Sept 2026, 10:50 UTC≈1,720 viewsread 22 September 2026
Photo

👑 :诺熙 💰:600P 1200PP 💌:@NuoXisz188 🪩:深圳坂田地铁站 🏷: #坂田区 #69互舔 #陪浴 #嫩妹 #E乳 Telegram group: @shenzhen1

9 Sept 2026, 06:37 UTC≈1,660 viewsread 22 September 2026
Photo

👑 :草莓 💰:1400P 2800PP 💌:@qiqi07780 🪩:深圳福田区车公庙 🏷: #福田区 #69互舔 #上门 #嫩妹 #学生 Telegram group: @shenzhen1

8 Sept 2026, 13:15 UTC780 viewsread 14 September 2026
Photo

👑 :韩莹 💰:800P 1500PP 💌:@plm9901224 🪩:光明长圳地铁站 🏷: #光明区 #制服 Telegram group: @shenzhen1

5 Sept 2026, 09:00 UTC≈1,080 viewsread 12 September 2026
Photo

👑 :小语 💰:600P 1100PP 💌:@Zixiax 🪩:深圳龙岗光雅园地铁站 🏷: #龙岗区 #嫩妹 #上门 #69互舔 Telegram group: @shenzhen1

3 Sept 2026, 13:10 UTC≈1,060 viewsread 10 September 2026
Photo

👑 :琪琪环保不限次数 💰: 568 不限次数 💌:@luohu999qi 🪩:深圳罗湖区 罗湖口岸 🏷: #罗湖区 #按头口暴 #开腿磨棒 Telegram group: @shenzhen1

1 Sept 2026, 06:23 UTC≈1,220 viewsread 9 September 2026
Photo

👑 :伊伊 💰:900P 1700PP 💌:@yiyi665566 🪩:深圳南山西丽 🏷: #南山区 #水中箫 #舌吻 #69互舔 Telegram group: @shenzhen1

24 Aug 2026, 07:49 UTC≈2,270 viewsread 8 September 2026
Photo

👑 :安妮 💰:500P 1000PP 💌:@Anni889933 🪩:深圳深圳龙岗坂田华为 🏷: #龙岗区 #水中箫 #性价比 #69互舔 Telegram group: @shenzhen1

24 Aug 2026, 05:16 UTC≈1,500 viewsread 4 September 2026
Photo

👑 :苗苗 💰:700P 1300PP 💌:@qw16616 🪩:深圳南山深大地铁站附近 🏷: #南山区 #舌吻 #口爆 #69互舔 Telegram group: @shenzhen1

23 Aug 2026, 06:23 UTC≈1,060 viewsread 3 September 2026
Photo

👑 :仙儿 💰:500P 900PP 💌:@Xiao12Yx 🪩:深圳龙岗坂田 🏷: #龙岗区 #舌吻 #制服 #性价比 Telegram group: @shenzhen1

Showing the 12 most recent of 23 posts we hold for @shenzhenyznm. 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

@shenzhenyznm edited 2 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
22 August 2026
Most recent edit
12 September 2026

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

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳颜值选妃榜(公益榜)” (@shenzhenyznm), 44,172 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/shenzhenyznm.

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.