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Channel

团长喜欢的老师(后宫收藏)

@fengkuangchuji

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

6,455subscribers

+1,366 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1003838250153
TypeChannel
Username@fengkuangchuji
Descriptionhttps://t.me/fengkuangchuji
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live8 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/fengkuangchuji

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 the other topics.

Growth

5,0896,4555,77214 August 2026 — 5,089 subscribers16 August 2026 — 5,106 subscribers19 August 2026 — 5,179 subscribers22 August 2026 — 5,303 subscribers25 August 2026 — 5,370 subscribers28 August 2026 — 5,445 subscribers31 August 2026 — 5,484 subscribers4 September 2026 — 5,509 subscribers9 September 2026 — 5,647 subscribers13 September 2026 — 5,698 subscribers17 September 2026 — 5,776 subscribers26 September 2026 — 5,906 subscribers5 October 2026 — 6,104 subscribers11 October 2026 — 6,171 subscribers14 October 2026 — 6,209 subscribers17 October 2026 — 6,266 subscribers20 October 2026 — 6,295 subscribers23 October 2026 — 6,313 subscribers27 October 2026 — 6,330 subscribers30 October 2026 — 6,360 subscribers2 November 2026 — 6,394 subscribers5 November 2026 — 6,430 subscribers8 November 2026 — 6,455 subscribers14 August 20268 November 2026
23 measurements spanning 86 days, net +1,366. 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 4,884–6,660 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
8 Nov 2026, 08:066,455+25
5 Nov 2026, 05:116,430+36
2 Nov 2026, 10:556,394+34
30 Oct 2026, 04:006,360+30
27 Oct 2026, 07:066,330+17
23 Oct 2026, 22:096,313+18
20 Oct 2026, 18:276,295+29
17 Oct 2026, 19:186,266+57
14 Oct 2026, 11:066,209+38
11 Oct 2026, 06:576,171+67
5 Oct 2026, 04:026,104+198
26 Sept 2026, 18:375,906+130
17 Sept 2026, 19:585,776+78
13 Sept 2026, 17:215,698+51
9 Sept 2026, 18:555,647+138
4 Sept 2026, 03:175,509+25
31 Aug 2026, 19:135,484+39
28 Aug 2026, 12:045,445+75
25 Aug 2026, 08:335,370+67
22 Aug 2026, 19:075,303first reading

Engagement

16 posts held, back to 11 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
64.6%
avg views ÷ 6,455 subscribers
Avg views / post
4,170
8 posts measured
Reaction rate
0.245%
reactions ÷ views · ER floor
Posts in window
10
of 16 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 7 of 8 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 8 November 2026
Posts held16 (11 August 2026 – 8 November 2026)
Views total33,370
Reactions total77
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 17:24 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
≈1,080
Videos
≈94
Links
≈11

Lifetime counters from Telegram’s own channel header, read 9 November 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
29s
Average length
15s

Measured directly from 2 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

110 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 30.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3430.9%
👍2825.5%
😱2421.8%
💩109.09%
😨32.73%
🤔32.73%
👏21.82%
🤣21.82%
🥰21.82%
👎10.909%
🦄10.909%

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 13 of the 16 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 110 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 11 August 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 2 of 10 posts held from the last 30 days (20.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 12:30 UTC≈1,850 views1 reactionsread 9 November 2026
Photo

纯宝 人照7分 黄皮肤 大胸嫩妹 身材匀称有肉,有点和苒苒类似,但是不坦 身上没有纹身 皮肤摸着较光滑 性格还行 服务三件套 舌吻🐍管饱 但是体力不太行 口活合格 没有齿感 适合贝塔兵 日感还行 三点粉嫩 水多 个人评价在npc和人上人之间 备注:在坦的边缘 但是没有安全坦的那种 胸很大 适合贝塔和坦克兵。硬件配置和苒苒差不多,但是胸比苒苒大 电报:@chunchun257

❤1

8 Nov 2026, 11:57 UTC≈1,880 viewsread 9 November 2026
Photo

蔡文静 人照7分 身材瘦小 纸片人身材 身上没有几两肉的那种 胸只有A+左右 皮肤还行 黄白皮 身上没有啥乱七八糟的纹身 服务三件套 有🐍吻 但是只能🐍一下 不太说话 比较高冷 下面没什么毛 偏紧 但是水少 有点自助餐的意思。属于npc 备注:衣服一脱能看到排骨,太清瘦了。长的也高 严格来说不算少萝 属于少御。约课需要考虑一下 电报:@Tutuya22

5 Nov 2026, 06:03 UTC≈3,880 views7 reactionsread 9 November 2026
Photo

莎莉娜已经脱离代聊 目前已申请了新号。约课可以找本人了。 ps:那个神人代聊把老师也拉黑了,铁心要骗人赚黑心钱了。 莎莉娜TG:@abcd12346571

❤3👍3🦄1

3 Nov 2026, 13:48 UTC≈4,610 views12 reactionsread 9 November 2026
Photo

莎莉娜 有个代聊 团长之前就骂过是傻x 排课排不明白,后面莎莉娜本人又换了一个代聊 现在这个代聊看生意好 ,就开始拿莎莉娜的照片开始发盲盒, 随机发货了。 你在2.0上榜 没人说你,老子现在照样开你的团。 团长最痛恨的就是这种发盲盒的,代聊今天敢发盲盒,那下次去的人是不是开门看到就是个大婶、 娭毑 !团长就是开到过大粪,所以尤其痛恨这种为了赚钱啥都不顾的🐶代聊。目前已联系其他大v 集体挂他 这种丧天良的🐶代聊 就得封杀他。 莎莉娜代聊现在用的TG: @slina668 大家认准这个🐶代聊的号,别再约课了,谁约谁傻x ,先饿死他个傻b

👍9❤3

1 Nov 2026, 21:00 UTC≈5,020 views29 reactionsread 9 November 2026
Video

警情通报:1号凌晨,长沙洞井商贸城被便衣👮叔叔 🎣执法,抓了一车面包人,在那边玩的狼友注意了。又开始跨区执法了。 该视频为工兵拍摄并投稿。

😱24❤3🤣2

31 Oct 2026, 07:52 UTC≈5,480 views14 reactionsread 9 November 2026
Photo

黑车:小梨 包夜跑路 不退钱 甚至威胁狼友要报警。 具体原因:包夜只做一次,然后找理由下楼吃饭三个小时 一去不回。狼友发现的时候 要求退钱💰 不退 并且威胁狼友要报警。狼友怕进去十五天丢工作,毕竟自己吃亏 。只能做摆。目前该老师还在其他群上榜。频道还在骗人包夜。并且有代聊。 黑车tG:@xiaoli871 (各位兄弟注意,谨防被骗)

💩10❤4

30 Oct 2026, 06:46 UTC≈4,800 views7 reactionsread 7 November 2026
Photo

悠悠 萝莉类型,深圳的妹妹 人照对版有8分(化妆之后),属于纸片人的身材 细枝硕果的那种,线下胸围有C+,这还是健身之后瘦了 之前有D以上。皮肤属于黄白皮,身上有少量纹身,但是整体观感很好,服务方面,课表上的都有,可以和妹妹提前说 。大蟒蛇🐍,会主动🐍,🐍管饱。下面洞洞毕较小,显得异常的紧,且水多。性格非常好, 健谈 ,有情绪价值。课室在小区里面,而且小区比较偏僻,安全系数拉满了。这点很加分。整体评价:人上人 备注:巨乳萝莉 ,且不是精神小妹,最近搞活动写报告可以优惠一张,且比较瘦小,脆皮不适合大🐔🐔的狼友。 电报:@youyou08080

❤6👎1

27 Oct 2026, 19:40 UTC≈5,850 views7 reactionsread 7 November 2026
Photo

小a 广州客家妹 人照7分 人比照片瘦 快变成纸片人了 线下皮肤没有照片白 皮肤黄皮有点点暗沉,摸着还是光滑,胸应该只有A+到B-的程度,性格可以,人很有女友感,技术方面差了点,三件套,可以🐍,但是要自己主动点,其他都好商量,老师也挺配合。下面毛少紧度较紧,但是水不多。体力方面比较差,同时有点脆皮不耐桩。整体方面,颜值化了妆还是能看。评价属于NPC到人上人之间。 备注:隐藏英雄,开课少,但是也好约。去过的狼友都喜欢藏 电报号:@sissjej

❤5🤔2

14 Aug 2026, 09:35 UTC≈1,190 views1 reactionsread 14 August 2026
Photo

丹丹 人照大概8分 淡妆 真人线下没有课表那么高 大概只有158的样子 萝莉身高 胸大概b 皮肤白略偏黄一点 人很热情 只能浅🐍 服务三件套 课表上的都能做 属于有点流水线式的作业 没太大毛病 但也说不上哪里出头 下面紧度是偏紧的 水多还热 洞有点小。参考了价格 整体评价人上人。 备注:去的晚 状态不好 老师班味有点重 笑的也有点职业。但服务态度比一些新上的嫩妹强。 电报:@angzv666

❤1

13 Aug 2026, 12:10 UTC≈2,080 views3 reactionsread 14 August 2026

推荐一下史努比频道 该狼友搞酒店测评的 非常适合风大的时候想CJ 但是又怕安全问题的狼友 该频道主视角新颖。连老师开课的酒店都测评了。 https://t.me/BestHotelsforBusiness 测评主本人TG:@Goblinblinblin 欢迎去咨询他

👏2🤔1

Showing the 12 most recent of 16 posts we hold for @fengkuangchuji. 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.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“团长喜欢的老师(后宫收藏)” (@fengkuangchuji), 6,455 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/fengkuangchuji.

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.