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Channel

北京 【无忧】 作业反馈

@bj55u

2 usernames

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

32,363subscribers

+3,804 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002054111305
TypeChannel
Usernames@bj55u @bjwyfk
Description绅士男群: @bjwyly ✔️北京无忧 · 群组目录 🎭混合主群: @beijingly (老师打卡) 🤹‍♀️北京男群: @bjwyly (学生进) 🏆老师总榜: @bjwyls 🎗精选推荐: @bjwybd 🎁学院福利: @bjwyhd 🗺地区导航: @bjwyzx 🔖作业反馈: @bjwyfk ❤️一键关注所有频道: https://t.me/addlist/rHY_-3EhP3VkMGIx ——————————————— 💬 校长:@bjtop & @Beij
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held127
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/bj55u

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bj55u/73548 · this entry9 Aug 2026, 23:40 UTC@qicherj/13049 Aug 2026, 23:51 UTC1.0011 minutes
@bj55u/73991 · this entry12 Aug 2026, 14:53 UTC@qicherj/132012 Aug 2026, 15:01 UTC1.008 minutes
@bj55u/74098 · this entry13 Aug 2026, 10:08 UTC@qicherj/132213 Aug 2026, 10:40 UTC1.0032 minutes
@bj55u/75696 · this entry23 Aug 2026, 05:35 UTC@qicherj/136523 Aug 2026, 06:25 UTC1.0050 minutes
@bj55u/75698 · this entry23 Aug 2026, 05:44 UTC@qicherj/136723 Aug 2026, 06:26 UTC1.0042 minutes
@bj55u/76276 · this entry27 Aug 2026, 05:35 UTC@qicherj/140127 Aug 2026, 07:44 UTC1.002.1 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@qicherj8 (8/8 hand-verifiable sample passed)1.0028 minutesthis entry (8–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 1,636 comparable posts for this entry, running 6 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

28,55932,36330,4616 August 202613 November 2026
127 measurements spanning 98 days, net +3,804. 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 27,988–32,934 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 127
Measured (UTC)SubscribersChange
13 Nov 2026, 03:4832,363+62
11 Nov 2026, 01:2832,301-3
10 Nov 2026, 17:0032,304+53
9 Nov 2026, 12:1732,251+17
9 Nov 2026, 01:3032,234+26
8 Nov 2026, 01:0932,208-7
7 Nov 2026, 15:1732,215+35
6 Nov 2026, 23:3732,180+7
6 Nov 2026, 13:2032,173+17
5 Nov 2026, 22:1032,156+2
5 Nov 2026, 14:5432,154+35
4 Nov 2026, 20:5432,119+33
4 Nov 2026, 11:4732,086+28
3 Nov 2026, 23:3932,058+21
3 Nov 2026, 12:4932,037+39
2 Nov 2026, 20:3831,998+24
2 Nov 2026, 10:0431,974+30
1 Nov 2026, 21:3531,944+24
1 Nov 2026, 10:1631,920no change
31 Oct 2026, 23:2931,920first reading

Engagement

1,703 posts held, back to 6 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 169 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.515%
avg views ÷ 32,363 subscribers
Avg views / post
167
598 posts measured
Reaction rate
0.463%
reactions ÷ views · ER floor
Posts in window
598
of 1,703 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 112 of 598 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 13 November 2026
Posts held1,703 (6 August 2026 – 13 November 2026)
Views total99,636
Reactions total110
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 09:53 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
≈86,000
Videos
≈439
Links
≈43,100

Lifetime counters from Telegram’s own channel header, read 13 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
11s
Average length
11s

Measured directly from 1 video 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

196 reactions across 160 posts, in 4 distinct kinds. The most used accounts for 96.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤18996.4%
🔥42.04%
👏21.02%
😁10.51%

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 199 of the 1,000 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 196 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 24 September 2026 to 13 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: 0 of 598 posts held from the last 30 days (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).

13 Nov 2026, 09:00 UTC113 viewsread 13 November 2026
Photo

💃老师:#小米 🤖链接: https://t.me/bjwyls/25341?single 🏠位置: #朝阳 #和平西桥 ------------------ 🖋课后作业:出差来北京,朋友一直推荐小米老师服务好,正好老师有新项目,赶紧预约,还真是全程口不断进屋不到5秒就扒裤子舔起来,🐔都懵了,洗完澡就开始边跳舞边舔,然后又在沙发上舔,麻酥酥的,上床继续舔,重点说说情趣椅。这玩意太牛逼,整个三角区都露出来,老师可以畅通无阻的舔,软软的热热的轻轻滑过,老师的手更牛,比舌头更爽,两个同时刺激,舌头在舔胸,一个人做出多人服务的感觉,这刺激要升天了,没几下鸡鸡就要射,老师赶紧停下来,换个角度继续舔,这更受不了,胸鸡鸡蛋蛋菊花同时刺激,全身麻酥酥的,要射,缓会又开始手活,爽的无法用形容,感觉小米老师做完再约谁都感觉脱敏了,绝对天花板级别

13 Nov 2026, 08:55 UTC137 viewsread 13 November 2026
Photo

💃老师:#允儿 🤖链接: https://t.me/bjwyls/17332?single 🏠位置: #朝阳 #双井 ------------------ 🖋课后作业:你好校长,写个允儿反馈,工作室安静安全,人照九分,身高很高气质很好很好看,服务很好,值得一去

13 Nov 2026, 08:50 UTC134 viewsread 13 November 2026
Photo

💃老师:#雅宝宝 🤖链接:https://t.me/bjwyls/19572?single 🏠位置:#朝阳 #三里屯 ------------------ 🖋课后作业:校长好,交个雅宝宝的作业。 关注雅宝宝很久了,今天也是有机会出击一次。 老师颜值非常高,真人和照片相差无几,可以说比照片还好看,放在学校里也是班花的级别了。服务态度主动热情,老师很会照顾我的感受,体贴周到,🐍和口都尽情投入,很用心。上了床老师的床上功夫更是一绝,完美的身材让人难以招架,几分钟就缴械了。 出击这么多次最好的一次体验了,顶级享受。

13 Nov 2026, 08:45 UTC139 viewsread 13 November 2026
Photo

💃老师:#渝冉 🤖链接: https://t.me/bjwyls/32647?single 🏠位置: #朝阳 #百子湾 ------------------ 🖋课后作业:校长,cj了新人渝冉小姐姐.个人自聊,小姐姐是四川的,人照无差,服务特别好。特别开朗活泼的ls.服务一点不敷衍课表该有的服务都有。确实是纯情御姐,御姐天花板!爱了爱了大力推荐 颜控必冲……

13 Nov 2026, 08:40 UTC138 viewsread 13 November 2026
Photo

💃老师:#小悠 🤖链接: https://t.me/bjwyls/30779?single 🏠位置: #朝阳 #亚运村 ------------------ 🖋课后作业:反馈个作业,刚去了亚运村日式风俗店,新来个妹子小奈,还不错,172大高个,身材很棒,服务也很细致,泡泡浴值得体验。

13 Nov 2026, 08:35 UTC146 viewsread 13 November 2026
Photo

💃老师:#尼宝儿 🤖链接: https://t.me/bjwyfw/1394?single 🏠位置: #朝阳 #大郊亭 ------------------ 🖋课后作业:今天去了尼宝,约的老师B套餐,写个好评。来上课全程无需自己动手,一整个超级放松的状态,老师会用专业的手法按摩和帮助控制,最后全部发射,非常通透,值得推荐!

13 Nov 2026, 08:32 UTC115 viewsread 13 November 2026
Photo

💃老师:#关宓 🤖链接: https://t.me/bjwyfw/3619?single 🏠位置: #朝阳 #望京 ------------------ 🖋课后作业:提交望京关宓@ycty123作业:一句话总结,这是目前小项里遇到身材最好按摩最舒服的老师了。老师身材小巧,一身粉色连衣裙十分性感,按摩也是循序渐进,力度正好,过程中好几次都要睡着了,追求颜值又想好好放松的老铁们闭眼冲

13 Nov 2026, 08:25 UTC132 viewsread 13 November 2026
Photo

💃老师:#王茜 🤖链接:https://t.me/bjwyls/5057?single 🏠位置:#朝阳 #大望路 ------------------ 🖋课后作业:cj王茜老师,本人比照片好看很多,她不会拍照,很喜欢她本人。非常健谈活泼,特别快递的就拉近我俩的距离。大胸大屁股,胸巨大,皮肤雪白,豹纹黑丝非常有韵味,勾走了我的心❤️

13 Nov 2026, 08:20 UTC127 viewsread 13 November 2026
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💃老师:#黑珍珠 🤖链接: https://t.me/bjwyfw/5394?single 🏠位置: #朝阳 #双井 ------------------ 🖋课后作业:校长,反馈黑珍珠作业 定的下午1点,遥控上门见到老师。长得好看,身材有点瘦,皮肤真光滑。先帮忙放热水。有培育,个人不喜欢就没用。洗完老师帮忙擦干,先开始b面,按摩很舒服,手法好很棒,特别有感觉。性格上是乖乖女,听话配合,毒龙我也没做,下次有机会来再做吧,整体服务写了的都有,不错的服务系老师,按摩手法好

13 Nov 2026, 08:15 UTC124 viewsread 13 November 2026
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💃老师:#柯心 🤖链接: https://t.me/bjwyfw/3091?single 🏠位置: #朝阳 #望京 ------------------ 🖋课后作业:@kexin5188 回消息很及时,服务很细心,很舒服,聊天很开心,功夫到家,下周接着二刷

12 Nov 2026, 16:02 UTC180 views2 reactionsread 12 November 2026
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💃老师:#棒棒糖 🤖链接: https://t.me/bjwyls/13476?single 🏠位置: #朝阳 #姚家园 ------------------ 🖋课后作业:三刷棒棒糖,久吃不腻,i人就喜欢这种热情奔放的骚货,不冷场,不差事,棒棒的

❤2

12 Nov 2026, 16:00 UTC175 views1 reactionsread 12 November 2026
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💃老师:#小鱼 🤖链接: https://t.me/bjwyls/21975?single 🏠位置: #朝阳 #双井 ------------------ 🖋课后作业:@xiaoyujiayouya 小鱼老师,人照9成像,北方姑娘,性格很好,大晚上的妆也比较精致,服务意识很强。从进门开始就一直拉着你的手,给你递水,聊天,气氛不冷场,不会催。然后给你脱衣服,衣服还会叠好放在床边,后面就是PY,水中萧,结束了之后就是帮你擦干净身子,开始标准服务,有很多套衣服可以选,老师身材很好,很瘦,一双大长腿,皮肤细腻,口的很细致,69也很投入,爱爱的环节,老师各种姿势都很配合,很投入,下面还会流爱液,最后在老师一声声娇喘中顺利出货,下次还会返!

❤1

Showing the 12 most recent of 1,703 posts we hold for @bj55u. 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 9 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.

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

“北京 【无忧】 作业反馈” (@bj55u), 32,363 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/bj55u.

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.