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Channel

龙岗💋喵喵🈶科室

@sqbbyl

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

1,508subscribers

-449 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002572331886
TypeChannel
Username@sqbbyl
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/sqbbyl

Growth

1,5081,9571,732.58 August 2026 — 1,957 subscribers8 August 2026 — 1,957 subscribers8 August 2026 — 1,914 subscribers11 August 2026 — 1,776 subscribers14 August 2026 — 1,635 subscribers17 August 2026 — 1,508 subscribers8 August 202617 August 2026
6 measurements spanning 10 days, net -449. 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 1,441–2,024 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 20:141,508-127
14 Aug 2026, 17:561,635-141
11 Aug 2026, 07:031,776-138
8 Aug 2026, 16:051,914-43
8 Aug 2026, 07:001,957no change
8 Aug 2026, 06:531,957first reading

Engagement

17 posts held, back to 20 March 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.56%
avg views ÷ 1,508 subscribers
Avg views / post
99.0
1 post measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
1
of 17 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 1 August 2026
Posts held17 (20 March 20261 August 2026)
Views total99
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:00 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

108 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 30.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3330.6%
3027.8%
🥰2220.4%
😍65.56%
🖕43.70%
💋32.78%
🔥32.78%
🤩32.78%
❤‍🔥21.85%
🐳10.926%
💯10.926%

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 17 of the 17 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 108reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 20 March 2026 to 1 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

1 Aug 2026, 06:46 UTC99 views1 reactionsread 8 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:怪叔叔 【上课时间】:7.29 【老师花名】:#喵喵 【位置坐标】:龙岗 【上课费用】:700-p 【服务内容】:课表都可以 【出击体验】:按照约定来到小姐姐课室,见面人照一致,可以确定是她本人,身材很棒,看着她转身翘臀,特别冲动,直接从后面抱住手不停的抚摸她那翘屁股,在一阵嘻嘻过后,我付款上课。小姐姐先叫我洗个澡,贴心给我脱衣拿拖鞋,后面陪我洗了一会后她先出去了,等我洗好出来,她早已换好了情趣装,然后示意我坐在床上,一把推倒我,我示意小姐姐往下吸二弟,她慢慢的往下在我慢慢吸舔,她嘴开始吸我二弟,舌头不断的打转,很柔软没有齿感,很爽,无比舒服,给我挑逗的快受了,我叫小姐

👍1

18 Jul 2026, 14:08 UTC271 views3 reactionsread 8 August 2026
Photo

愿你以渺小启程,以伟大结尾🈲

1👍1🥰1

17 Jul 2026, 02:14 UTC296 views3 reactionsread 8 August 2026
Photo

早安!用色彩斑斓的早餐,拉开元气满满的一天!✨🥦 健康减脂风 #早餐 #美食 #分享 #日常

1🔥1🤩1

20 Jun 2026, 07:32 UTC551 views5 reactionsread 8 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:Mario 上课时间:6.18 老师花名:#喵喵 位置坐标:#龙岗 上课花费:13002️⃣🅿️ 出击体验:榜上看到老师就被老师吸引了,马上约上课,根据老师指定地方,很好找,进门看到老师身材很好,脸型也很好看,身上一阵清香,在沙发上,让老师坐在我腿上,闻着老师身上的香味,受不了,立马上手,摸着老师的胸很挺,很软,奶头很小,一边摸,一边亲吻,老师嘴也香香的,但不能蛇纹,下面弟弟都顶着老师屁屁了,老师说去洗澡给我口,给我退去裤子,老师蹬下一手摸着蛋蛋,一手抚摸我弟弟,直接去洗澡。洗完澡,老师👅先在我龟头上转一圈,真的受不了,酥酥麻麻的,再到全部含进去,直接深猴,我一边抚摸老师的脸,一边享受着老师的口,太值了,口了一会,老师给我弟弟带上雨伞,直接坐上来,老师手搭着我的肩,我亲着老师的迷迷,上下配合着,老师的噼噼很紧,但水多,老师做累了,换我从后面入,直接顶到底,把老师都顶的啊啊

3👍1😍1

10 Jun 2026, 05:08 UTC505 views7 reactionsread 8 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:最爱吃鲍鱼 【上课时间】:6.8 【老师花名】:#喵喵 【位置坐标】:#龙岗 【上课费用】:1300/pp 【服务内容】:该有的都有 【出击体验】:时隔两个星期再次约上喵喵老师,约好时间到达科室,见面聊一会就一起洗澡,洗的很仔细很舒服, 洗完帮忙擦干净,喵喵老师开始服务,臀推胸推都有,挺舒服,口活很好很认真,不叫停的话,怕是交代在喵喵老师的嘴巴里了,带套开始干,很有感觉。下面暖暖的,也紧,包裹住了,下面能夹,高潮时候,下面收缩的很有感觉,像有小嘴巴在咬你,水多,有几次差点给我夹出去,而且老师叫床的时候很好听,有女友感,舒服的时候会抓自己抓奶子,很有画面感。抱着老师的腿干

2👍2😍2🥰1

10 Jun 2026, 04:31 UTC443 views8 reactionsread 8 August 2026
Photo

芙蓉不及美人妆🍧水殿风来珠翠香💦

2👍2🖕2🥰2

25 May 2026, 14:46 UTC559 views8 reactionsread 8 August 2026
Photo

一个人的寂寞,是两个人的错🍼

👍32🤩2😍1

16 May 2026, 04:20 UTC609 views9 reactionsread 8 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:KKK 上课时间:5.14 老师花名:#喵喵 位置坐标:#龙岗 上课花费:1300/pp 出击体验:反馈一下喵喵老师,人照一致程度可以给9.5分,甚至比照片还好看。身材和照片也无差别,腰臀比是凹凸有致,胸型很好看,肉感很软,可以放心冲。最主要是老师很擅长主动和前戏,提前跟老师说好,一进门就开始相拥,两人的手互相游离,欲火焚身。互撩的时候,老师眼神迷离十分销魂,隔着裙揉捏老师软糯Q弹的大屁股太带劲了。口的时候,无齿感,无可挑剔,69时给老师一些刺激就会很猛。接下来啪啪,换了几个姿势都尝试了。课室场景很丰富。老师无时不刻都在挑逗你,撩拨你的心弦。最后忍不住出货,恋恋不舍离开 优点缺点: 骚,活好 推荐程度:⭐️⭐️⭐️⭐️⭐️ 联系方式:@mmio1b 温馨提醒:报告仅供参考,请理性选择,切勿对号入座

👍42🥰2💯1

5 May 2026, 04:55 UTC569 views8 reactionsread 8 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:锦鲤耶 【上课时间】:5-4 【老师花名】:#喵喵 【位置坐标】:#龙岗 【上课费用】:1300/pp 【服务内容】:课表 【出击体验】:抓住假期的尾巴,果断出击。到地方后遥控上楼非常迅速,没有罚站,本来有点困的,直到进门看到喵喵之后,眼前一亮,劲啊!细枝结硕果有感觉吗?抓紧交水费,然后拉着喵喵去洗澡,洗澡的时候,喵喵就开始拿白嫩胸脯蹭着我,调情了,主动蹲下水中萧。丢!我已坚硬如铁,立马擦干水分,冲到房间开干,上来先舔了会胸,然后就69,顺带着口,鲍鱼鲜甜,口的还行。喵喵流程走完之后,就让她躺着了,脖子耳朵奶子嗦了个遍,嗦完就戴套开搞,细节就不过多赘述了,犹豫我挺久没做

2👍2🔥2😍2

24 Apr 2026, 03:40 UTC568 views9 reactionsread 8 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:则灵 上课时间:4-16 老师花名:#喵喵 位置坐标:#龙岗 上课花费:1300/pp 出击体验:二刷了,今天路过老师附近,问了一下老师有空,就上门体验一下,进门看到环境干净整洁,温馨舒适,被老师温柔的接待,坐着聊了会天,感觉很好,洗完澡躺床上,看着老师放的片子,老师跟着片子里的动作一样的挑逗着我,视觉和感觉都受到了p冲击,没一会我就感觉受不了,老师在我要求下,坐上了我身上,扭到着她的小蛮腰,丰盈的山峰在我眼前晃动,我的棒棒被紧紧包裹着上下抽动,我没一会就到了顶点,今天之行很愉快,走时跟老师约好下次再聚 优点缺点: 态度好 推荐程度:9 联系方式:@mmio1b 温馨提醒:报告仅供参考,请理性选择,切勿对号入座

💋32👍2🥰2

17 Apr 2026, 13:14 UTC479 views8 reactionsread 8 August 2026
Photo

爱是两个人创造的,爱爱是两个人一起造的💕💕 ☎️@mmio1b

🥰3❤‍🔥2👍2🐳1

Showing the 12 most recent of 17 posts we hold for @sqbbyl. 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.

Citation-graph rank

Citation-graph rank — 1,024,619 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 1 registered channel — 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“龙岗💋喵喵🈶科室” (@sqbbyl), 1,508 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/sqbbyl.

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.