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Telegram profile photo for 济南美眉

Channel

济南美眉

@S5Z5A

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

24,079subscribers

-32,683 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1003186862433
TypeChannel
Username@S5Z5A
CreatedBetween 1 September 2025 and 31 December 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live9 September 2026
Measurements held21
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/S5Z5A

Growth

24,07956,76240,420.514 August 2026 — 56,762 subscribers15 August 2026 — 56,558 subscribers17 August 2026 — 55,977 subscribers18 August 2026 — 55,604 subscribers19 August 2026 — 54,638 subscribers20 August 2026 — 46,890 subscribers21 August 2026 — 45,288 subscribers22 August 2026 — 42,975 subscribers24 August 2026 — 39,801 subscribers25 August 2026 — 38,277 subscribers26 August 2026 — 36,711 subscribers27 August 2026 — 35,529 subscribers28 August 2026 — 34,063 subscribers29 August 2026 — 32,669 subscribers30 August 2026 — 31,520 subscribers31 August 2026 — 30,666 subscribers1 September 2026 — 30,139 subscribers2 September 2026 — 29,365 subscribers3 September 2026 — 27,899 subscribers5 September 2026 — 26,359 subscribers9 September 2026 — 24,079 subscribers14 August 20269 September 2026
21 measurements spanning 26 days, net -32,683. 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 19,177–61,664 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)SubscribersChange
9 Sept 2026, 09:1824,079-2,280
5 Sept 2026, 22:5926,359-1,540
3 Sept 2026, 22:4227,899-1,466
2 Sept 2026, 10:4329,365-774
1 Sept 2026, 12:3430,139-527
31 Aug 2026, 12:5330,666-854
30 Aug 2026, 13:5431,520-1,149
29 Aug 2026, 11:4332,669-1,394
28 Aug 2026, 10:4234,063-1,466
27 Aug 2026, 09:1635,529-1,182
26 Aug 2026, 06:4336,711-1,566
25 Aug 2026, 06:0838,277-1,524
24 Aug 2026, 05:0839,801-3,174
22 Aug 2026, 16:2242,975-2,313
21 Aug 2026, 07:4645,288-1,602
20 Aug 2026, 06:4546,890-7,748
19 Aug 2026, 07:1754,638-966
18 Aug 2026, 07:2255,604-373
17 Aug 2026, 10:0555,977-581
15 Aug 2026, 15:5556,558first reading

Engagement

70 posts held, back to 13 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.31%
avg views ÷ 24,079 subscribers
Avg views / post
74.6
70 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
70
of 70 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 3 September 2026
Posts held70 (13 August 20263 September 2026)
Views total5,225
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 12:22 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
42s
Average length
7s

Measured directly from 6 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

3 Sept 2026, 19:05 UTC2 viewsread 4 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 东南亚大事件|华人新闻|热点爆料 📢 初冬小远OVO 📢 初中生学生 📢 东南亚吃瓜🍉 📢 缅北大事件曝光 📢 东南亚大事件 「新闻曝光」 📢 全球新闻 📢 Telegram-环球新闻时讯 📢 海外大事件 开云新闻 📢 【亚太快讯】 ------------------------------ ☁️ 互推入口:@SosoCnBot

3 Sept 2026, 16:17 UTC3 viewsread 4 September 2026
Photo

😀艺名: #馨馨 🔔 车模兼职 🕐地区: #济南 #历下区 💃体貌: 身高180 体重 60 KG 胸围 36D 💦水费: 1000p 💰1800pp 🚀电报: @yhsz0288 🧚‍♀️频道: @wuyou883 😉😉: 视频已验证 押金已交 🤐认证: 🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

3 Sept 2026, 16:17 UTC1 viewsread 4 September 2026
Photo

😀艺名: #小羊🔔 🕐地区: #济南 #市中区 💃体貌: 身高170 体重 48 KG 胸围 C 💦水费: 700p 💰 1300pp 🚀电报: @shhlvsei 🧚‍♀️频道: @globe888 😉😉: 视频已验证 押金已交 🤐认证: 🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

3 Sept 2026, 16:17 UTC2 viewsread 4 September 2026
Photo

😀艺名: #麦子 🔔 🕐地区: #济南 #市中区 💃体貌: 身高165 体重 53 KG 胸围 36C 💦水费: 700p 💰 1300pp 🚀电报: @hangzhou530 🧚‍♀️频道: @eddy_wu88 😉😉: 视频已验证 押金已交 🤐认证: 🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

2 Sept 2026, 19:00 UTC3 viewsread 3 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 中国大事件/中文日记 📢 全球:国际新闻、曝光 📢 全球新闻聚焦 | 📣国际热点速报 📢 全球新闻事件 📢 西安艺妓 📢 东南亚曝光吃瓜 新闻 📢 事件曝光 新闻爆料 📢 【新事件】东南亚曝光l新闻l吃瓜🅥 📢 东南亚今日头条 📢 新闻热点社 ------------------------------ ☁️ 互推入口:@SosoCnBot

2 Sept 2026, 16:33 UTC3 viewsread 3 September 2026
Photo

😀艺名: #怡宝 🔔 🕐地区: #济南 #市中区 💃体貌: 身高165 体重 53 KG 胸围 C 💦水费: 700p 💰 1500pp 🚀电报: @yt3358 🧚‍♀️频道: @rtyrbn687 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

2 Sept 2026, 16:33 UTC3 viewsread 3 September 2026
Photo

😀艺名: #闪闪 🔔 🕐地区: #济南 #商河县 💃体貌: 身高163 体重 54 KG 胸围 D 💦水费: 700p 💰 1500pp 🚀电报: @misou89 🧚‍♀️频道: @no1trx275 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

1 Sept 2026, 16:18 UTC8 viewsread 3 September 2026
Photo

😀艺名: #妮可 🔔 🕐地区: #济南 #钢城区 💃体貌: 身高175 体重58 KG 胸围 C 💦水费: 700p 💰 1500pp 🚀电报: @siky1324 🧚‍♀️频道: @aomen278 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

1 Sept 2026, 16:18 UTC8 viewsread 3 September 2026
Photo

😀艺名: #小香 🔔 🕐地区: #济南 #平阴县 💃体貌: 身高169 体重53 KG 胸围 C 💦水费: 700p 💰 1500pp 🚀电报: @tgyj88899 🧚‍♀️频道: @bx5596 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

1 Sept 2026, 16:18 UTC6 viewsread 2 September 2026
Photo

😀艺名: # 小思 🔔 🕐地区: #济南 #莱芜区 💃体貌: 身高175 体重58 KG 胸围 D 💦水费: 700p 💰 1500pp 🚀电报: @youxang22 🧚‍♀️频道: @FFJptnc328 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

31 Aug 2026, 16:36 UTC9 viewsread 2 September 2026
Photo

😀艺名: # 艾希 🔔 🕐地区: #济南 #济阳区 💃体貌: 身高168 体重50 KG 胸围 B+ 💦水费: 700p 💰 1500pp 🚀电报: @whmm89 🧚‍♀️频道: @haozhuzi378 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

31 Aug 2026, 16:36 UTC5 viewsread 1 September 2026
Photo

😀艺名: # 小糯米 🔔 🕐地区: #济南 #章丘区 💃体貌: 身高175 体重55 KG 胸围 C 💦水费: 700p 💰 1500pp 🚀电报: @chalou858 🧚‍♀️频道: @waihuist23 😉😉: 视频已验证 押金已交 🤐认证:🇹🇻🇺🇬🇺🇦🇦🇪🇬🇧🏴

Showing the 12 most recent of 70 posts we hold for @S5Z5A. 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.

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.

“济南美眉” (@S5Z5A), 24,079 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/S5Z5A.

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.