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Channel

【集美师范大学】北京校区/天津校区

@JMNU010

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

9,348subscribers

-733 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003116921300
TypeChannel
Username@JMNU010
Description【集美师大】校训:发现美,集中美,传播美。 玩法新颖,机制健全,范围最广的全国性老师学生交流平台。 🤖上榜联系&提交报告 : @JMNU0001_bot 校长私信: @JMNU0001 【北京校区个人榜】 : @JMNU010 【北京校区交流群】 : @JMNU010a_a
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/JMNU010

Growth

9,34810,0819,714.57 August 2026 — 10,081 subscribers7 August 2026 — 10,081 subscribers8 August 2026 — 10,072 subscribers9 August 2026 — 10,061 subscribers10 August 2026 — 10,052 subscribers11 August 2026 — 10,043 subscribers12 August 2026 — 9,716 subscribers15 August 2026 — 9,466 subscribers18 August 2026 — 9,429 subscribers21 August 2026 — 9,417 subscribers24 August 2026 — 9,403 subscribers28 August 2026 — 9,348 subscribers7 August 202628 August 2026
12 measurements spanning 20 days, net -733. 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 9,238–10,191 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 00:079,348-55
24 Aug 2026, 23:229,403-14
21 Aug 2026, 16:099,417-12
18 Aug 2026, 22:349,429-37
15 Aug 2026, 19:079,466-250
12 Aug 2026, 18:439,716-327
11 Aug 2026, 15:0810,043-9
10 Aug 2026, 17:5810,052-9
9 Aug 2026, 19:0510,061-11
8 Aug 2026, 15:4310,072-9
7 Aug 2026, 18:1610,081no change
7 Aug 2026, 18:0410,081first reading

Engagement

5 posts held, back to 15 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
37.3%
avg views ÷ 9,348 subscribers
Avg views / post
3,490
1 post measured
Reaction rate
39.3%
reactions ÷ views · ER floor
Posts in window
1
of 5 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 11 August 2026
Posts held5 (15 July 202611 August 2026)
Views total3,490
Reactions total1,373
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:59 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
2,390
Videos
452
Links
131

Lifetime counters from Telegram’s own channel header, read 29 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
48s
Average length
12s

Measured directly from 4 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

6,368 reactions across 5 posts, in 8 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,28220.1%
🎉1,26819.9%
1,26519.9%
👍1,24419.5%
😁1,18018.5%
👏440.691%
🤩430.675%
🥰420.66%

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 5 of the 5 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 6,368reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 15 July 2026 to 11 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

11 Aug 2026, 09:49 UTC≈3,490 views1,373 reactionsread 29 August 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_8022174706

😁283🎉275👍273🔥264250🥰11👏10🤩7

29 Jul 2026, 06:56 UTC≈1,470 views1,816 reactionsread 29 August 2026
Photo

艺名: 乔乔 段位: #辅导员(青铜) 地点: #朝阳 编号: #JMBJ1337 纯天然无整容,顶美颜值,不娇情,不催,配合度高,女友感强,乖乖女。 硬件: 168/44/ C/20 车费: 3000/P 5500PP 联系老师: @qixini 机器人: @qiaoqiaozizi_bot 标签: #颜值系 #服务 #嫩妹 北京交流群: @jmnu010a_a 北京大⭕奢侈品 @cgqlbj

384🔥374🎉353😁339👍336🤩12👏11🥰7

17 Jul 2026, 09:01 UTC≈1,900 views989 reactionsread 29 August 2026
Photo

艺名: 依然 段位: #辅导员(青铜) 地点: #朝阳 编号: #JMBJ1336 陪浴,水中萧,kiss👄,🐻推,指划漫游,丝足,AB面,🈚套口,69👄,窃窃私语,按摩,激情啪啪,情趣内衣,高跟丝袜可选 硬件: 166/53/ D/01 车费: 1200/P 1800PP 联系老师: @YRaini888 机器人: @YRaini8899_bot 标签: #颜值系 #服务 #嫩妹 北京交流群: @jmnu010a_a 北京大⭕奢侈品 @cgqlbj

👍208🔥204200🎉186😁168🤩10🥰8👏5

17 Jul 2026, 08:52 UTC≈1,490 views1,067 reactionsread 29 August 2026
Photo

艺名: 小关 段位: #辅导员(青铜) 地点: #朝阳 编号: #JMBJ1335 皮肤光滑细腻,人照无差,活好👌🏻不机车,🉑69,🉑kiss,🉑陪🛁,高跟制服,情趣诱惑,不过分都可满足,不议价 硬件: 165/48/C/ 车费: 1500/P 2800PP 联系老师: @th520954 机器人: @xiaoguan_bot 标签: #颜值系 #服务 #嫩妹 北京交流群: @jmnu010a_a 北京大⭕奢侈品 @cgqlbj

🎉227🔥217👍212210😁177🥰9🤩8👏7

15 Jul 2026, 08:35 UTC≈1,350 views1,123 reactionsread 29 August 2026
Photo

艺名: 夏季 段位: #辅导员(青铜) 地点: #丰台 马家堡 编号: #JMBJ1334 陪浴,口爆,指划,🐻推,漫游,煽情,🉑🐍吻,🉑69,高跟丝袜,制服诱惑,激情啪啪,给你带来不一样的神仙体验 。 硬件: 165/45/B/24 车费: 1200/P 2200PP 联系老师: @tbtbtb0606 机器人: @yuji0009995555bot 标签: #颜值系 #服务 #嫩妹 北京交流群: @jmnu010a_a 北京大⭕奢侈品 @cgqlbj

🎉227🔥223221👍215😁213👏11🥰7🤩6

Showing the 5 most recent of 5 posts we hold for @JMNU010. 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“【集美师范大学】北京校区/天津校区” (@JMNU010), 9,348 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/JMNU010.

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.