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Channel

宿州🌙公开榜

@suzhou2024

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

9,097subscribers

+45 since we began measuring on 25 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002302381619
TypeChannel
Username@suzhou2024
Description宿州
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 August 2026
Last confirmed live26 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/suzhou2024

Growth

9,0529,0979,074.525 Aug 2026, 18:46 — 9,052 subscribers26 Aug 2026, 17:47 — 9,097 subscribers25 Aug 2026, 18:4626 Aug 2026, 17:47
2 measurements taken within a single day, net +45. 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 9,045–9,104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 17:479,097+45
25 Aug 2026, 18:469,052first reading

Engagement

11 posts held, back to 29 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.9%
avg views ÷ 9,097 subscribers
Avg views / post
1,810
4 posts measured
Reaction rate
0.35%
reactions ÷ views · ER floor
Posts in window
4
of 11 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held11 (29 May 202617 August 2026)
Views total7,250
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 09:14 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
90
Videos
6
Links
27

Lifetime counters from Telegram’s own channel header, read 27 August 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.

Reaction mix

29 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29100.0%

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 7 of the 11 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 29 May 2026 to 17 August 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

17 Aug 2026, 01:17 UTC≈1,250 viewsread 27 August 2026

华北地区/东北地区 天津 太原 石家庄 哈尔滨 大连 华中地区: 郑州 南阳 新乡 武汉 武汉2 襄阳 宜昌 长沙 衡阳 常德 华东地区: 济南 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 韶关 河源 潮州揭阳 南宁 柳州 海口 三亚 琼海 儋州 西南地区/西北地区 西安 兰州 成都 贵阳 遵义 昆明

9 Aug 2026, 10:38 UTC≈2,000 views7 reactionsread 27 August 2026
Photo

#宿州 👤昵称:#丹丹 📝基础信息: 身高165cm 体重45kg 胸围 b 🪙课费:500——700 📍位置:埇桥区 ☎️电报账号: @dandan100751 🖊订阅中心: https://t.me/dandan100521 宿州-淮北🌙电报大本营 https://t.me/suzhouhuaibei

7

28 Jul 2026, 07:24 UTC≈2,950 views1 reactionsread 27 August 2026
Photo

云南哪有真情在 花椒树下谈恋爱! 你麻我来 我麻你! 克嫖最有性价比! 欢迎加入云南昆明电报群! https://t.me/KMDBQ 群内正在抽取大量现金红包!

1

22 Jul 2026, 08:22 UTC≈3,030 views2 reactionsread 27 August 2026
Photo

千年濠河,醉美南通 热烈庆祝🪅南通濠河风景区 即将突破50000成员,特发出千元红包 https://t.me/ntbbbb

2

19 Jul 2026, 06:45 UTC≈3,050 viewsread 27 August 2026

华北地区/东北地区 天津 太原 石家庄 哈尔滨 华中地区: 郑州 南阳 新乡 武汉 武汉2 襄阳 宜昌 长沙 衡阳 常德 华东地区: 济南 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 南宁 柳州 海口 三亚 琼海 儋州 西南地区/西北地区 西安 兰州 成都 贵阳 遵义 昆明

26 Jun 2026, 09:35 UTC≈4,970 views6 reactionsread 27 August 2026
Photo

#宿州 👤昵称:#一冉 📝基础信息: 身高165cm 体重49kg 胸围36C 🪙课费:600P——1000pp 📍位置:埇桥区 ☎️电报账号: 🖊订阅中心: 宿州-淮北🌙电报大本营 https://t.me/suzhouhuaibei

6

24 Jun 2026, 07:22 UTC≈4,260 views4 reactionsread 27 August 2026
Photo

#宿州 👤昵称:#沫沫 📝基础信息: 身高172cm 体重55kg 胸围D 🪙课费:600P——1100p 📍位置:埇桥区 ☎️电报账号: 🖊订阅中心: 宿州-淮北🌙电报大本营 https://t.me/suzhouhuaibei

4

29 May 2026, 05:24 UTC≈5,840 views5 reactionsread 27 August 2026
Photo

#宿州 👤昵称:#茶茶 📝基础信息: 认证98客服 🪙课费:600P——800p 📍位置:埇桥区 ☎️电报账号: 🖊订阅中心: 宿州-淮北🌙电报大本营 https://t.me/suzhouhuaibei

5

Showing the 11 most recent of 11 posts we hold for @suzhou2024. 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

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 26 August 2026 — this entry's latest reading, not the date you are reading this.

“宿州🌙公开榜” (@suzhou2024), 9,097 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/suzhou2024.

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.