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Channel

小冉-广深—别再炸(开课🀄️)

@fenger2500700

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

3,434subscribers

+823 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002762224104
TypeChannel
Username@fenger2500700
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 September 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/fenger2500700

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

2,6113,4343,022.511 August 2026 — 2,611 subscribers12 August 2026 — 2,619 subscribers16 August 2026 — 2,643 subscribers19 August 2026 — 2,666 subscribers22 August 2026 — 2,680 subscribers25 August 2026 — 2,690 subscribers28 August 2026 — 2,719 subscribers30 August 2026 — 2,735 subscribers3 September 2026 — 2,795 subscribers8 September 2026 — 2,820 subscribers10 September 2026 — 2,820 subscribers12 September 2026 — 3,266 subscribers15 September 2026 — 3,434 subscribers11 August 202615 September 2026
13 measurements spanning 35 days, net +823. 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 2,488–3,557 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 22:413,434+168
12 Sept 2026, 07:383,266+446
10 Sept 2026, 21:222,820no change
8 Sept 2026, 00:212,820+25
3 Sept 2026, 00:382,795+60
30 Aug 2026, 17:142,735+16
28 Aug 2026, 03:082,719+29
25 Aug 2026, 06:262,690+10
22 Aug 2026, 15:342,680+14
19 Aug 2026, 14:232,666+23
16 Aug 2026, 05:532,643+24
12 Aug 2026, 12:382,619+8
11 Aug 2026, 20:452,611first reading

Engagement

18 posts held, back to 27 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
41.7%
avg views ÷ 3,434 subscribers
Avg views / post
1,430
17 posts measured
Reaction rate
0.095%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 11 of 17 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 10 September 2026
Posts held18 (27 August 202610 September 2026)
Views total24,338
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 21:22 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.

Reaction mix

14 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1071.4%
🥰321.4%
😁17.14%

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 11 of the 18 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 27 August 2026 to 10 September 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

10 Sept 2026, 06:37 UTC422 views1 reactionsread 10 September 2026
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😀#天河 #小冉 【广州学院】: @gzwww @gzbbb 【上课日期】:9月9日 【上课费用】:#包夜/5200 【报告来源】:#海绵 @suqibb 【体验细节】: 冉,是一字清缓,藏尽温柔。 本是象形之字,描摹柔须垂落、枝叶轻摇的模样。 名中带冉,便是愿其人如清风,温柔自持,静而有韧性,不疾不徐,缓缓奔赴人间。 听闻冉姐要去往广州短暂落脚,深圳与广州相隔百里,距离一下子拉开。我心里总放不下,不忍心她孤身一人去往陌生的城市。本想提前约好相见,却不曾想,她竟在凌晨,独自悄悄动身前往。 距离上一次相见,已然过去一月。每一次重逢,她总能带给我不一样的惊喜。心念辗转,我下定决心,驱车奔赴广州。 傍晚下班,约上友人一同启程,就此踏上我的追妻之路。一百公里的路程并不算遥远,可心底的思念却迫切无比,恨不得下一秒就扑进她的怀抱。 暮色沉沉,细雨濛濛。周遭往来的人海都化作模糊的虚影,世间万物,眼中只剩下那一个身影。抬眸相望的瞬间,往

1

10 Sept 2026, 06:23 UTC400 viewsread 10 September 2026
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😀#天河 #小冉 【广州学院】: @gzwww @gzbbb 【上课日期】:9月9日 【上课费用】:#PP/2000 【报告来源】:#🐧企鹅鸭🦆 1212喲 @gugaQEY 【体验细节】: 距离上次约小冉,已经过去整整两个月——而且那次还没约成。谁能想到,竟会在广州不期而遇?于是趁着预告那天,我们敲定了见面的时间。 循着指引,我来到那个熟悉的地方,推开门——哇噻,这么大的房型,太合我心意了。阳台外灯火辉映,城市夜景尽收眼底,我当下便预感到,小冉大概是想在这里长住了。可转念一想:咦,我朝思暮想的佳人藏在哪儿呢?这时才发现,她正躲在门后,小脸委屈得快要哭出来了。我连忙一把熊抱过去,轻声安抚了好一会儿,她瘪着的嘴角才慢慢扬起来。 我们依偎着坐回沙发上,她抱着我的胳膊甜甜地聊天。因为刚来这座城市,小冉对一切都充满好奇,眼神呆呆的、神情萌萌的,我便静下心来,跟她细细分享这里的点滴。正说着,她冷不丁凑过来一个香吻,又摇了摇我的手臂:“

9 Sept 2026, 07:50 UTC883 views4 reactionsread 10 September 2026

🎈💋广州天河小冉🚹个人兼职课表🎈 ❤️😧可上门🤥 😑🫤😐 😑🫤 🫨😥🤫 😑😑😑🔤🔤 🫡🫡🫡 🫤😑🔤🔤 🅰️✅✅ 🥰🥰🔤🌟 前凸后翘纯天然 ______________________________ 课费: 😐 🥰🥰🥰🥰 💲🥸(45分钟) 🥰🥰🥰🥰 💲🥸🥸 (90分钟) 🥰🥰🥰🥰 💲🥸🥸🥸(3个小时) 🆚教室预约7️⃣😃😃🥿定金留位 外出先给车费留位(鸽子定金不退) —————————————————— 😵‍💫服务: 舌吻🐍 69🔤 无T口吹😋 驾鸯浴😛舔蛋蛋漫游 🔤😀丝袜诱惑 😀😏制服诱惑 🫶爱爱姿势不限 😧 :🤭禁口嗨 🥂醉酒 无套拔套

🥰31

8 Sept 2026, 09:43 UTC≈1,200 views3 reactionsread 10 September 2026
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🎓 抽奖标题:【广州学院&酒儿&小冉】携手两位佳人宠粉兄弟们现金红包活动🎁 🎁 奖品内容: - 大碗猪脚饭加2个四点金(价值100元)*1 - kfc超级全家桶一份(价值100元)*1 🪧 抽奖说明:参与需扣除1积分 🎫 参与条件: - 从2026-09-08 00:00:00起发言数量不少于5 - 必须有用户名 - 积分不少于1 - 加入群:广州学院 - 加入频道:广州学院名师榜 - 加入群:广州学院必吃榜 - 加入频道:深圳💕人间尤物~酒儿的频道 - 加入频道:小冉-广深—别再炸(开课🀄️) ​🕒​ 开奖时间:2026-09-13 21:00自动开奖 🎰已参与人(3): 海绵(门禁上岸版)🎶 - 2026-09-08 17:43:10 打虎武松 - 2026-09-08 17:43:08 院长 认准用户名: @gz222 - 2026-09-08 17:42:44

2😁1

8 Sept 2026, 07:29 UTC≈1,110 views1 reactionsread 10 September 2026

💲💲明天9号广州天河开(短开几天) 广州联系方式:@xiaoran00012 不要发错了号了哟。以免不能及时回复

1

7 Sept 2026, 14:32 UTC≈1,230 viewsread 10 September 2026
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深圳学院锐评榜 @szlsb 【已验证】❤️ 📍深圳 #龙华 👤艺名 #小冉 💸课费 #PP 2000 ❤️ 【出击日期】: 9月7日 【学生留名】:#空城 【体验细节】:⬇️ 午夜时分,召唤小冉妹妹共度春宵一刻,人照精致不失可爱,咪咪刚刚好!一只手握著,就跟捧个小元宝,呻吟销魂,蜜汁不停的往外溢,吃的我满口都是淫水,小冉妹妹求我轻一点,当然,对女孩子还是要温柔点儿,毕竟我也是个有素质的人,冉妹妹急促的喘气声跟我的心跳同频,我忍不住的喷射而出一袋子精子!休息一会,冉妹妹又给我口硬了,辛苦妹妹了,当然我也辛苦的,我又提起我的枪,AK47,哒哒哒的打了一弹夹子弹! 刺激!舒服! 【总结概括】:⬇️ 深圳学院优秀老师之一,不踩坑,人像符合度高,满意度好!值得新手玩家入手。晚上饿了,点的干炒牛河也不错! 【联系老师】: @fenger1688👆 投稿需要提交记录 隐私可打马赛克 萝卜白菜各有所爱 建议多观察对比

6 Sept 2026, 08:40 UTC≈1,490 views0 reactionsread 10 September 2026
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#龙华小冉 9月6日荣登深圳学院名师榜👑 ❤️名师榜: @sz520 ❤️聊天群: @sz1314 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【深圳学院】联系的老师货不对板,被骗定金,群主: @sz333 担保赔付!每月赞助万元出击费🧧 立即加入 👆查看评价

6 Sept 2026, 06:49 UTC≈1,360 views0 reactionsread 10 September 2026
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遇到小冉巨巨巨开心的呀😍😍

Showing the 12 most recent of 18 posts we hold for @fenger2500700. 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 2 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.

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

“小冉-广深—别再炸(开课🀄️)” (@fenger2500700), 3,434 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/fenger2500700.

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.