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Channel

晴晴的秘密基地

@bbbwe993

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

1,025subscribers

-14 since we began measuring on 16 August 2026

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

Register entry

Telegram ID-1003158986701
TypeChannel
Username@bbbwe993
Created20 October 2025measured — dated from the channel’s first post
First recorded16 August 2026
Last confirmed live24 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/bbbwe993

Growth

1,0251,0391,03216 August 2026 — 1,039 subscribers17 August 2026 — 1,036 subscribers20 August 2026 — 1,034 subscribers24 August 2026 — 1,025 subscribers16 August 202624 August 2026
4 measurements spanning 8 days, net -14. 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 1,023–1,041 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 04:421,025-9
20 Aug 2026, 14:461,034-2
17 Aug 2026, 09:561,036-3
16 Aug 2026, 07:451,039first reading

Engagement

15 posts held, back to 20 October 2025the 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
1.66%
avg views ÷ 1,025 subscribers
Avg views / post
17.0
3 posts measured
Reaction rate
3.23%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 1 of 3 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 15 August 2026
Posts held15 (20 October 202515 August 2026)
Views total51
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 07:45 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

Video runtime
17s
Average length
9s

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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 15 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 20 October 2025 to 15 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

10 Aug 2026, 02:30 UTC15 viewsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接: https://t.me/shanghaidadao/11033 💒位置:#静安 ------------------ 💌出击报告:第三次约晴晴老师,到达课室晴晴耐心帮洗,换上情趣和丝袜开始上课,洗的时候二弟已经翘老高了,看到装备我管你这那。晴晴服务很认真,专心吃鸡时已经被摸湿了。带套正戏,晴晴女上体力不错,车灯在眼前摇摆忍不住一口包上去,顺势将cc放倒托住腰继续传教,正好晴晴头从床脚垂下去,托住发力很轻松,眼前风景也一片明媚,十几分钟耕作后完成升华。休息期间继续和晴晴聊天,发现和晴晴有很多相同地方,话题不断,从美食聊到香港,从露营野餐到网络热点,休息后继续开始第二次,晴晴依旧卖力,但是我体力原因换了几个姿势没有出后沟通本日作罢。 整体来说晴晴很对我胃口,无论是做的时候会互相关注对方感觉,还是外向性格,以及身体上的契合度,都很合拍,会继续返。 课室隔音比较一般,也提醒各位老哥主意说话音量,关门前也尽量不

29 Jul 2026, 07:10 UTC31 views1 reactionsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接:https://t.me/shanghaidadao/11033 💒位置:#静安 ------------------ 💌出击报告:晴晴是我约过最值得包天的女孩之一!她长相清秀,身材比例好,皮肤细腻,性格温柔中带着一丝小野性,包天全程陪伴让人非常满足。69 是她的强项。我们互相取悦的时候,她技术娴熟,嘴巴又热又紧,吸吮深喉都做得特别好,舌头灵活地在敏感部位打转。同时她下面水多味甜,被我舔得直抖腰,娇喘连连,双方都爽得不行,反复玩了好几次。最特别的是中度SM。晴晴对中度SM很有经验,不会过于极端,但该有的仪式感和刺激感都很到位。她乖乖戴上眼罩、项圈,听话地被我绑住手脚,用蜡烛、皮鞭、冰块等道具慢慢调教。被调教时她表情又羞又浪,身体反应特别真实,呻吟声又软又媚,让人很有征服欲。我抽插她的时候,她被束缚着却主动扭腰迎合,里面又紧又热,配合度极高。包天过程中我们休息、聊天、洗澡、吃饭,然后继续大战,节奏完全由我掌

1

15 Jul 2026, 08:40 UTC54 viewsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接: https://t.me/shanghaidadao/11033 💒位置:#静安 ------------------ 💌出击报告:与晴晴的这次见面,带来了难得的舒适与心动。她像一缕清风,整体感觉高级而自然。晴晴拥有雪白细嫩的肌肤,身材属于白幼瘦类型,E杯胸部线条优美。她谈吐优雅得体,举止间透着良好涵养和气质,完全不像圈内人,更像一位兼职的大学生或白领,毫无风尘痕迹。她的初恋女友感特别强烈。从开门那一刻起,微笑温暖,声音轻柔。我们先是自然地聊天,她的话题有趣且有分寸,让人很快放松下来。亲密接触时,她动作温柔细致,每一次触碰都充满关怀,像在照顾恋人般体贴。清纯干净的气息贯穿始终,前戏部分她耐心探索我的敏感点,用唇舌和指尖慢慢点燃热情,过程充满细腻情感。进入深入环节,她依然保持着那份纯净,却能自然地回应身体的节奏。湿润度和契合感都很棒,整个体验真实而有温度。她全程眼神真诚,互动自然流畅,没有刻意表演,只有真

7 Jul 2026, 11:12 UTC52 viewsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接:https://t.me/shanghaidadao/9862 💒位置:#静安 ------------------ 💌出击报告:E杯又大又挺,在娇小身材上显得特别夸张,摸起来又软又弹,手感一流。皮肤白嫩,脸蛋甜美,属于可爱又带点骚的类型。 她开门就穿着黑色皮质情趣SM装,短裙下光着小穴,E杯半露,视觉冲击很大。一进屋就主动舌吻,舌头灵活湿热,吻得我下面瞬间硬邦邦的。接着她把我推到床上,开始69互舔。她小穴粉嫩多汁,我舔她阴蒂的时候她叫得特别浪,同时给我深喉口活,吸得又紧又舒服。中度SM环节是亮点!她戴上项圈让我轻度调教,先是用丝带蒙眼绑手,然后她骑在我身上扭腰,E杯甩得啪啪响。我抽她屁股的时候她浪叫着求饶,却越夹越紧。后面换她当小女王,轻打我胸口+用E杯 smothering,窒息感和爽感交织,刺激得要命。 她小穴很紧,插进去后肉壁包裹感强,配合度极高,全程主动迎合。90分钟玩下来,舌吻、69、SM三件

4 Jul 2026, 10:15 UTC50 viewsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接:https://t.me/shanghaidadao/7086 💒位置:#静安 ------------------ 💌出击报告:进门就主动聊天,态度非常好。不过我比较话少,会接不上话。弄得老师也比较尴尬。 主动帮忙调节水温,准备好沐浴露陪浴,个人原因不喜欢就婉拒了。正题服务过程中非常耐心,会询问有什么要求,并且都全力配合。 做的时候我比较喜欢女上,所以一开始是女上姿势。做了一会儿后能感觉到老师比较累,但是也还是会主动去动。后面抱在怀里做的过程中反馈很强,身体会微微颤抖,非常戳XP,让人爱不释手的感觉。换女下后双腿会时不时主动缠在腰上,伸手抱人,全是戳XP的行为,女友感拉满了。 出击较少,但是在我的认知中完全宝藏级别,毫不夸张的说。

4 Jul 2026, 10:09 UTC50 viewsread 16 August 2026
Forwarded from @SHDD333

💃老师:#晴晴 🤖链接: https://t.me/shanghaidadao/7086 💒位置:#静安 ------------------ 💌出击报告:进门就被老师可爱的样子迷倒了,全程态度都非常好,非常有女友感,今天状态不佳弄了好久都怕把老师弄疼了,老师还笑着安慰我说没事,在这一瞬间我心都化了,下次还来

Showing the 12 most recent of 15 posts we hold for @bbbwe993. 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 — 609,410 of 1,620,455entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“晴晴的秘密基地” (@bbbwe993), 1,025 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/bbbwe993.

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.