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Channel

北京〔京爷〕作业反馈

@BJYY33

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

49,932subscribers

+31,996 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1002731746287
TypeChannel
Username@BJYY33
Description公开榜 t.me/BJYY66 管理 t.me/BJNNY9 Hello @Telegram My channel has not violated the rules and policy of using Telegram. Please pay attention. @rove
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live3 November 2026
Measurements held51
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/BJYY33

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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

17,93649,93233,93414 August 2026 — 17,936 subscribers14 August 2026 — 17,936 subscribers15 August 2026 — 18,263 subscribers17 August 2026 — 18,709 subscribers18 August 2026 — 19,001 subscribers19 August 2026 — 19,281 subscribers20 August 2026 — 19,615 subscribers21 August 2026 — 20,033 subscribers22 August 2026 — 20,717 subscribers24 August 2026 — 21,249 subscribers25 August 2026 — 21,718 subscribers26 August 2026 — 21,935 subscribers27 August 2026 — 22,241 subscribers28 August 2026 — 22,460 subscribers29 August 2026 — 22,766 subscribers30 August 2026 — 22,949 subscribers31 August 2026 — 23,099 subscribers1 September 2026 — 23,397 subscribers2 September 2026 — 23,678 subscribers3 September 2026 — 24,122 subscribers5 September 2026 — 24,901 subscribers9 September 2026 — 26,354 subscribers11 September 2026 — 27,589 subscribers13 September 2026 — 27,907 subscribers15 September 2026 — 28,698 subscribers17 September 2026 — 29,414 subscribers19 September 2026 — 30,445 subscribers26 September 2026 — 32,881 subscribers4 October 2026 — 36,585 subscribers9 October 2026 — 38,125 subscribers13 October 2026 — 40,304 subscribers14 October 2026 — 41,266 subscribers15 October 2026 — 41,832 subscribers16 October 2026 — 42,457 subscribers17 October 2026 — 42,985 subscribers18 October 2026 — 43,669 subscribers19 October 2026 — 44,039 subscribers20 October 2026 — 44,642 subscribers22 October 2026 — 45,247 subscribers23 October 2026 — 45,723 subscribers24 October 2026 — 46,277 subscribers25 October 2026 — 46,759 subscribers26 October 2026 — 47,258 subscribers27 October 2026 — 47,376 subscribers28 October 2026 — 47,868 subscribers29 October 2026 — 48,175 subscribers30 October 2026 — 48,426 subscribers31 October 2026 — 48,755 subscribers1 November 2026 — 49,158 subscribers2 November 2026 — 49,557 subscribers3 November 2026 — 49,932 subscribers14 August 20263 November 2026
51 measurements spanning 81 days, net +31,996. 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 13,137–54,731 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)SubscribersChange
3 Nov 2026, 10:3149,932+375
2 Nov 2026, 09:3449,557+399
1 Nov 2026, 09:0649,158+403
31 Oct 2026, 06:4148,755+329
30 Oct 2026, 09:1948,426+251
29 Oct 2026, 11:0948,175+307
28 Oct 2026, 07:3847,868+492
27 Oct 2026, 04:1147,376+118
26 Oct 2026, 03:4047,258+499
25 Oct 2026, 05:5046,759+482
24 Oct 2026, 05:3746,277+554
23 Oct 2026, 06:2845,723+476
22 Oct 2026, 04:0145,247+605
20 Oct 2026, 22:5844,642+603
19 Oct 2026, 21:1044,039+370
18 Oct 2026, 22:4643,669+684
17 Oct 2026, 20:3842,985+528
16 Oct 2026, 23:3642,457+625
15 Oct 2026, 23:5641,832+566
14 Oct 2026, 20:3641,266first reading

Engagement

153 posts held, back to 13 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 135 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.606%
avg views ÷ 49,932 subscribers
Avg views / post
302
59 posts measured
Reaction rate
0.351%
reactions ÷ views · ER floor
Posts in window
59
of 153 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 59 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 3 November 2026
Posts held153 (13 August 2026 – 3 November 2026)
Views total17,839
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 11:31 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
≈1,780
Videos
≈5
Links
≈922

Lifetime counters from Telegram’s own channel header, read 3 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
24s
Average length
8s

Measured directly from 3 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

24 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1354.2%
👍312.5%
😨312.5%
🗿28.33%
😁28.33%
🖕14.17%

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 18 of the 153 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 13 August 2026 to 3 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

3 Nov 2026, 11:25 UTC5 viewsread 3 November 2026
Photo

艺名 #小雅 位置 #七克拉 榜单 https://t.me/BJYY66/13260 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 人照无差别,交上水费,直接更衣共浴,刚开始还是有点乖巧,洗完以后选择了情趣衣服以后反差的来了,非常主动地凑近来,紧紧抱住,亲亲一会,开始一顿操作以后然后三点口,老二开始欲霸不能,戴上套主动地女上,叫声诱人,很放得开,然后高潮后,我也受不了了,直接翻过来,开始狠狠冲撞,最后后入出货,很棒的妹子

2 Nov 2026, 18:13 UTC92 viewsread 3 November 2026
Photo

艺名 #林荫荫解忧馆 位置 #百子湾 榜单 https://t.me/BJYY66/13308 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 今天约了林荫荫,不得不说妹妹服务真的很好,不愧值800,私人工作室,自己住的地方,很私密,服务超值,进房间后先付水费,再服务,身材太好了,颜值8分,青春美丽,下次再刷

2 Nov 2026, 12:30 UTC966 viewsread 3 November 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_814596597

2 Nov 2026, 12:30 UTC270 viewsread 3 November 2026
Photo

艺名 #温妤 位置 #百子湾 榜单 https://t.me/BJYY66/13008 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 老师身材前凸后翘,说话温柔,做服务也很细致,一点不偷懒,B紧水多,叫声好听,老师高潮时还发抖 下次pp好好和老师交流

2 Nov 2026, 12:28 UTC80 viewsread 3 November 2026
Photo

艺名 #小妮 位置 #三里屯 榜单 https://t.me/BJYY66/13266 ------------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 小妮老师 回来了 我就出击了 群友推荐的 还是不错 没踩雷 刚来北京出差 可以可以 老师服务不错 态度也好 皮肤白 腿长 不写黄文了 总之射的很爽!!

1 Nov 2026, 04:49 UTC192 viewsread 3 November 2026
Photo

艺名 #菲菲 位置 #西大望路 榜单 https://t.me/BJYY66/12709 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 今天闲来无事,随便转转,不知不觉转到了菲菲楼下,进门看到菲菲,依旧可爱,寒暄几句,开始洗澡,洗刷刷,洗刷刷,到卧室老师口活依旧,欲罢不能,小小的也很可爱 超赞!然后后入,dododo 的持续加速,后入时候会有滋滋的声音,好色情的声音,最后传教, 奈何我是123,传教出货,菲菲依旧健谈不冷场,中场休息然后继续,最终出水,下次再战。

1 Nov 2026, 04:48 UTC181 viewsread 3 November 2026
Photo

艺名 #猫儿 位置 #双井 榜单 https://t.me/BJYY66/13245 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 关注了猫儿老师终于等到开课了 上一次找老师还是 8 月份 时隔两月多我又来了 轻车熟路 流程顺畅 安排水费 直接开洗 摸摸蹭蹭 到床上 啊~好香好香~由于好久没做爱了 此时此刻牛子已成石头 🐱儿老师帮我摸摸舔舔 已经受不了了 戴上了 tt 不敢太快 慢慢来 结果被猫儿老师女上冲刺 炸了出来 🤦‍♂️🤦‍♂️ 快是真的 爽也是真的 然后还聊聊天 吹吹牛 哈哈哈 爱上了!

31 Oct 2026, 13:13 UTC184 viewsread 3 November 2026
Photo

艺名 #doll 位置 #百子湾 榜单 https://t.me/BJYY66/13017 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 前段时间去了doll,得延迟两周才写评价。 颜值满分,这没啥说的,确实非常好看。性格也好,挺健谈的。 胸很好摸,会主动去kiss,blowjob太牛了,她自己说“我的嘴巴很厉害哦”,确实是很棒。骑乘位说她不太会,但是骑乘位也太爽了。 总而言之,值得价格,值得二刷

31 Oct 2026, 13:10 UTC132 views0 reactionsread 3 November 2026
Photo

艺名 #江南 位置 #化工路 榜单https://t.me/BJYY66/13136 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 江南老师 小小个的 服务系派 老师健谈好说话 亲密度很高哦 各项的服务都很专心 黄文我就不发展了 爽晕了爽晕了爽晕了

31 Oct 2026, 13:08 UTC143 viewsread 3 November 2026
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艺名 #倩儿 位置 #健德门 榜单 https://t.me/BJYY66/13105 --------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 有倩儿老师联系方式很久了,一直没有时间,今天礼拜五休假从天津赶回来,和老师提前预留位置,到附近等了十几分钟,有老铁加了项目,忙完遥控上楼,见面觉得老师很漂亮,等待是值得的,不虚此行。身材也不错。然后就换鞋、洗澡,陪洗澡过程中非常详细,洗完用一次性浴巾擦拭。身材胸也刚刚好,屁股翘翘的。然后开始上课,温柔的询问先口吗?然后让我躺下给我口,舌头跟灵活口技不错!灵巧的舌头让我感觉飘飘欲仙!硬了之后就开始,用女上。老师配合度很高,基本上所有要求都可以做,只要不是很过分。我把老师压在身下,用力顶入。哇,很紧很滑,暖暖的。加速冲击,每次都插的很深。老师两条腿劈的很开。出水很多啊,啪啪啪啪的,一直搞到老师爽歪歪。换个姿势,让老师跪着站地上后入,太爽了,屁股软软的没…

31 Oct 2026, 13:04 UTC117 viewsread 3 November 2026
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艺名 #甜甜 位置 #潘家园 榜单 https://t.me/BJYY66/13173 -------------------------------- ฅʕ•̫͡•ʔฅ课后反馈: 出击甜甜老师 老师身材不错,人照也对版,毫不犹豫交水费,和老师🐍 感受着老师的舌尖,唇齿。来到🛏️服务特别认真,口活很舒服,无齿感,而且是持久口的那种, 伴随着轻微的嗯嗯的声音,很明显是在故意诱惑,服务不偷懒,主打一个敬业。享受的差不多了,到我发挥,开始提枪上马,长驱直入,冲进老师私处,紧致包裹性非常好,轻咬住老师的耳垂,反复刺激敏感地带。时不时的还用嘴照顾一下老师的小奶头,持续输出几分钟感觉要射。赶紧换个姿势,让老师趴着后入。老师的腰臀比简直绝了,典型的细腰巨臀,屁股好大好圆,画面太美,自行脑补,后入视觉享受爆棚,一波波臀浪刺激程度更大,实在是忍不了了,快速的撞击,在强烈的多重感官刺激下,很快我就缴枪了。服务真的用心,臀部简直完美,不枉此行。后面洗…

29 Oct 2026, 12:54 UTC≈1,110 viewsread 2 November 2026
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作业群这几天优化更新中 近期投稿先不发布 等优化完成再发布 北京·京爷

Showing the 12 most recent of 153 posts we hold for @BJYY33. 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.

Posts recorded as deleted after publishing

We recorded 6 posts on @BJYY33 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
17 August 2026
Most recent seen missing
29 October 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
1

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

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.

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

“北京〔京爷〕作业反馈” (@BJYY33), 49,932 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/BJYY33.

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.