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Channel
大蜜的衣帽间
@haifai7248
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
117subscribers
-158 since we began measuring on 23 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003240836763 |
|---|---|
| Type | Channel |
| Username | @haifai7248 |
| Created | Between 1 October 2025 and 12 December 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 23 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/haifai7248 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 09:19 | 117 | -70 |
| 1 Sept 2026, 00:18 | 187 | -77 |
| 24 Aug 2026, 17:18 | 264 | -11 |
| 23 Aug 2026, 15:45 | 275 | first reading |
Engagement
20 posts held, back to 12 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.99%
- avg views ÷ 117 subscribers
- Avg views / post
- 3.5
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 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.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 20 (12 December 2025 – 22 August 2026) |
| Views total | 7 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 15:45 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 20 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 12 December 2025 to 22 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
💃老师:#大蜜 🤖链接: https://t.me/shanghaidadao/10881 💒位置:#浦东 ------------------ 💌出击报告:看到资料,心动就在此刻。留位,直冲定位,上楼进门有被惊艳到,那身材,颜值气质都让眼前一亮。 交钱开启美好的时光,一起脱光光,脱衣后那娇羞的小模样真勾人,皮肤光滑白皙,胸大柔软。像两颗木瓜吊在胸前。春光乍现,简直养眼。爱爱过程全身心投入战斗,真是人间尤物,醉死温柔乡也乐意。服务真他妈的一绝,飘飘欲仙,醉生梦死
💃老师:#大蜜 🤖链接:https://t.me/shanghaidadao/10881 💒位置:#浦东 ------------------ 💌出击报告:丝袜制服短裙黑丝一套,角色感立刻就有了。她没急着脱,先把设定的对话走完,语气和眼神都在戏里,气氛被她拉得很满。花式吹箫是在角色推进到那一步后开始的。她跪下来含住,舌头、嘴唇、喉咙轮流上,时而深吞到底用力吸,时而退出只留顶端用舌尖快速弹弄,变化又多又准。黑丝膝盖抵在地上,制服裙子掀到腰间,视觉和口活同时在线。整个过程她都没出戏,含到最深的时候还会用角色里的口气哼一声,又骚又入戏。丝袜制服的完整搭配、角色扮演的代入、花式吹箫的技巧,三样叠在一起,爽感和沉浸感都有了。结束时她还顺着剧情说了句收尾的话,才笑着出戏。这种会穿会演还会吹的,确实能打。
💃老师:#大蜜 🤖链接:https://t.me/shanghaidadao/10881 💒位置:#浦东 ------------------ 💌出击报告:大蜜身高170,腿长腰细,比例一流,一见面就给人高挑性感的感觉。尤其是那对大胸,视觉冲击力极强,脱掉衣服后身材更是火爆,属于让人一看就想扑上去的类型。她的挑逗功力很强。前戏不慌不忙,用手指轻轻划过我的身体,胸部贴着磨蹭,舌头在敏感部位来回舔弄,眼神又媚又骚,骚话也说得恰到好处,把我的性欲慢慢撩到顶点。挑逗过程中她还很会观察我的反应,调整力度,服务特别贴心又专业。 真正进入正戏后,深喉和锁喉让我彻底服气。她嘴巴又热又紧,深喉毫无压力,能整个吞进去,喉咙收缩吸吮的感觉异常强烈。锁喉环节更是刺激,她主动把鸡巴深深顶进喉咙里,眼睛微微泛泪却坚持不退,喉部紧致蠕动的快感简直爆棚。水声、喘息声混在一起,视觉和生理双重冲击,爽得我头皮发麻。 大蜜技术娴熟,配合度高,我越猛她越配合,锁喉时还…
💃老师:#大蜜 🤖链接: https://t.me/shanghaidadao/10881 💒位置:#浦东 ------------------ 💌出击报告:大蜜身材丰满性感,曲线诱人,皮肤光滑细腻,一见面就带着甜甜的笑容,气质妩媚。服务开始后,她直接展现了花式吹箫的强大实力。口技花样繁多,舌头灵活卷动、深喉吞吐、旋转舔弄、吸吮龟头等各种技巧轮番上阵,时而温柔缓慢,时而激烈有力,搭配眼神诱惑,爽感层层叠加。 69环节同样精彩。她技术熟练,上面口活不停,下面也湿润敏感,我吃她的时候她会主动扭腰迎合,双方同时获得强烈快感,配合默契。 蛇纹是她的独特亮点。她腰肢和臀部像蛇一样灵活扭动,骑乘位时疯狂蛇纹摇摆,下面紧紧包裹收缩,蛇腰扭动的幅度和力度都控制得极好,每一次撞击都带来极致摩擦,快感爆炸。 整个服务过程中大蜜主动性很强,体力充沛,高强度玩法也毫不退缩,叫声妩媚又浪,极大提升了现场氛围。她对节奏的把握很好,既有细腻的前戏,也有猛烈的…
🈶🈳哦 哥哥们
要听课的宝子们赶紧预约
【出击报告】[https://t.me/shdadao1] 【老师艺名】大蜜 【联系方式】 @dami3826555 【所在位置】浦东 【验证留名】学长 【验证时间】3.30 【颜值身材】波涛汹涌 蜜桃臀 高颜 【服务内容】课本,舌吻口爆事后潇 【服务态度】热情主动 【优点缺点】无 【推荐程度】极力推荐 【体验细节】地方也好找、也很好停车、一进门眼前一亮老师就是我喜欢的类型大🐻,大长腿、黑丝、御姐范、老师很温柔很热情,躺在床上以后老师对我进行服务,老师很骚,刚摸上就硬的不行了,老师用温柔的小舌头舔遍全身,口技非常棒,舔的非常舒服,差点没忍住就射了,完后老师骑上来开整,小穴很湿,非常的舒服,忍不住把老师按到床上猛整一通,小穴太润,忍不住就射了,休息了一会洗完澡又和老师来了一次,非常满意,老师的颜值和技术都奈斯,很会玩,很骚,下次还会再找老师。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交机器人:@BT8888…
哥哥说请我喝奶茶
❤1
【出击报告】[https://t.me/shdadao1] 【老师艺名】大蜜 【联系方式】 @dami3826555 【所在位置】浦东 【验证留名】BB 【验证时间】 【颜值身材】相似度9成,腰细屁股大 【服务内容】看课表 【服务态度】异常的好 【优点缺点】服务不踩雷 【推荐程度】 【体验细节】约了老师2课,看到老师第一眼爱了爱了,身材苗条真的是腰细屁股大,腿又直又长长发及腰一身白色透沙裙仙气飘飘,交了课费去洗澡,🐔 🐔 自己翘上天了,被老师泡泡浴胸推超级有感觉,来到床上一把抱住老师亲吻很香,老师的皮肤很嫩滑,被老师柔软的舌头从耳朵亲吻到蛋蛋全身酥麻感十足,不经意间被老师含住肉棒老师用挑逗的眼神看着我,风骚中带着甜蜜的笑意爱死了,有种女盆友的感觉很上头,最让我惊讶/::O 是老师倒挂金钩深喉吹长见识开眼界了,差点被老师口出来,带上桃桃女上位很刺激,很快被老师秒出来了,老师功夫了得!二次就不细述了,情绪价值拉满,不催课按摩手法杠杠…
开课喽
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @haifai7248. 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
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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“大蜜的衣帽间” (@haifai7248), 117 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/haifai7248.
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.