茉莉花茶 pinned «🎰 【骑士团☆茉莉 派红包🧧】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 茉莉花茶 🎟️ 要求活动期间群内发言数 15 🎁 奖品内容: 128元🧧 × 1 46元🧧 × 1 26元🧧 × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 女神亲临派红包🧧,邂逅财富与好运💎! ☺️☺️温馨提示:仅亿点点🤏🏻少女币🎖即可拉满🈵~~…»

Channel
茉莉花茶
@MOMOLLf8885
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
438subscribers
+303 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004327192480 |
|---|---|
| Type | Channel |
| Username | @MOMOLLf8885 |
| Created | Between 1 June 2026 and 8 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/MOMOLLf8885 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 14:34 | 438 | +303 |
| 13 Aug 2026, 14:17 | 135 | first reading |
Engagement
17 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 46.9%
- avg views ÷ 438 subscribers
- Avg views / post
- 206
- 15 posts measured
- Reaction rate
- 0.17%
- reactions ÷ views · ER floor
- Posts in window
- 17
- 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. It is computed over the 3 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 17 (8 August 2026 – 13 August 2026) |
| Views total | 3,083 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 14:17 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
- 10s
- Average length
- 10s
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
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 3 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 1reactions 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 8 August 2026 to 13 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
🎰 【骑士团☆茉莉 派红包🧧】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 茉莉花茶 🎟️ 要求活动期间群内发言数 15 🎁 奖品内容: 128元🧧 × 1 46元🧧 × 1 26元🧧 × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 女神亲临派红包🧧,邂逅财富与好运💎! ☺️☺️温馨提示:仅亿点点🤏🏻少女币🎖即可拉满🈵~~ 📅 开奖日期: (UTC + 8) 2026年08月17日 20时21分57秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个少女币🏅 ⚡️ 加成次数:10 ⚡️ 额外消耗:每次加5个少女币🏅 每次加成等于 多个抽奖资格!! 兑奖联系 @MOLI5555Kk
🎉 茉莉半价券活动 🎁 奖品清单 • P半价券 × 1 🛡️ 参与条件 • 加入 深圳花满楼 • 加入 花满楼资源频道 • 加入 花满楼轮播 • 加入 花满楼报告 • 加入 茉莉花茶 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:88花瓣 • 祝福上限:100次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 开奖时间 • 2026-08-16 15:02:00 📜 抽奖说明 优惠卷有效为7天 半价卷有效为5天 白嫖卷有效为3天 杜绝私下交易转让,一经发现取消资格 兑换 @MOLI5555Kk ✨ 愿好运伴随每一位参与者,祝大家好运!
宝宝们老师开课啦
Video, posted without a caption
🎁 龙华茉莉花的活动 积分抽奖(定时开奖) ├开奖时间: 2026-08-20 12:00 ├参与需加入: │⭐ 深圳茶楼 │└消耗积分: 300 │🎫 茉莉花茶 │🎫 深圳榜 │🎫 深圳茶楼#千元P以下(含一千) │🎫 茶楼#波涛汹涌 │🎫 深圳茶楼#新人区 ├奖品列表: ├p100优惠券 × 2 ├pp200优惠券 × 2 ├半价优惠券1张 × 1 ├抽奖说明:🔥请中奖者于开奖后7天内联系茉莉花 https://t.me/SZCLLHQ/6346?single 查看原价并兑奖,中奖名额不可转让,过期不候。 🔥深圳茶楼不定期举行🧧活动,26年千元现金邀请活动已结束,新年红包活动已结束,四五双节千元活动已结束,端午父亲现金🧧活动已结束,后续活动择日进行~~ 进群 @vip40f 发送 抽奖 俩个字查询抽奖活动。 🔥茶楼积分获取途径是在群里每日发送:①签到。②邀请,复制邀请链接邀请他人进群。③发言(请…
茶楼报告( https://t.me/szclzBG ) 【位置艺名】:深圳龙华茉莉 【联系方式】:@MOLI5555Kk 【喝茶留名】:雷报大王 【喝茶时间】:2026.8.10 【喝茶价格】:1600pp+路 【芳龄身高】:04,身高155+肉萝 【罩杯手感】:C++,超软手感 【服务内容】:良家妹妹下海,XCZ 【优点缺点】:不吹不黑优点是真听话,然后小肉装萝莉性欲拉满,简单服务但是超认真,水也是真的多。缺点小坦克火车便当之类的稍微吃力,没什么经验需要多调教 【体验细节】:周日晚上出去办完事回去后无聊爆了,基本上我住这个地方偏远,很多妹子也叫不到,上TG逛一圈才发现茉莉这个新人小老师,聊天的时候服务就已经拉满了,态度好到我不忍心拒绝,直接发路,等30+分钟妹妹到一开门就看到一个肉装小萝莉,热裤低胸装大奶子一下子把我兴致调动起来了,进了房间聊两句妹妹就主动站起来抱着我,C++大奶直接顶到我胸膛,搞得我直接扯旗直愣愣戳到她小肚…
茉莉花茶 pinned a photo
🎉 茉莉老师半价劵福利 🎁 奖品清单 • 单P半价劵 × 1 • 30口令红包 × 1 • 单P100优惠卷 × 2 • 双P200优惠卷 × 2 🛡️ 参与条件 • 加入 深圳赏颜阁 • 加入 深圳赏颜阁(轮播) • 加入 深圳赏颜阁(备用) • 加入 深圳赏颜阁公开榜 • 加入 茉莉花茶 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:50肾结石 • 祝福上限:100次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 开奖时间 • 2026-08-16 12:00:00 📜 抽奖说明 优惠卷有效期(7天) 半价卷有效期(5天) 白嫖卷有效期(3天) 禁止转让,私下交易买卖 发现永久取消中奖资格 中奖自行联系 @MOLI5555Kk ✨ 愿好运伴随每一位参与者,祝大家好运!
【深圳淘宝修车团报告】 https://t.me/xiuchegbdd 【老师花名】#茉莉 【联系方式】@MOLI5555Kk 【老师位置】#龙华 【工兵留名】Xer 【验证时间】8月2号 【修车费用】1000P 【颜值身材】高颜值 丰满 【服务内容】课表都有 【优点缺点】女友感拉满 【出击体验】课室选择特别靠谱,位置低调隐蔽,完全不用担心安全问题,也没有保安之类的干扰。老师非常贴心,从头到尾都是她亲自下来接人送人,让人一进门就觉得安心舒服。 她的服务水准真的很高,主动关心细节,比如会不会想要丝袜这种小情趣。口技方面特别突出,柔软湿润到几乎零牙齿感,能轻松完成深喉,直达最深处,那种被完全包裹的舒适感,简直挑不出任何毛病。 身材上最抓眼球的是一对大奶子,传教士体位的时候直接抓着奶子操真的爽飞,而且老师也特别配合,非常温柔。 更难得的是,整个过程她的态度特别投入,情绪给得满满的,互动自然又热情,完全不会觉得机械或敷衍。从开始到结束都…
❤1
【深圳淘宝修车团报告】 https://t.me/xiuchegbdd 【老师花名】#茉莉 【联系方式】 @MOLI5555Kk 【老师位置】#龙华 【工兵留名】 匿名 【验证时间】 7.30 【修车费用】2000 【颜值身材】 999分 【服务内容】 第一次来 非常不错 小姐姐自己还有点紧张。我在楼下等着,让小姐姐下来接我。看到小姐姐的第一眼就是太大了,上手捏捏,非常软。头头嫩嫩的,很好舔。上来之后,跟小姐姐聊了会天,很有情商智商。不会冷场。接着就准备去一起洗澡。洗完就躺着了,期间一直摸小姐姐的x。非常舒服,小姐姐直接让我躺着,开始跟我口,很舒服,只能说太会了。没几下我就让小姐姐躺着,带上开始有力的节奏。一遍抓住小姐姐的奶奶,一边干,非常爽。小姐姐下面也非常紧,夹的很用力,第一次没多久就结束了。 结束之后没也催,就安安静静的聊天,聊的很投缘,可以说聊了很久,哈哈。后面又加了一次,继续开干,kiss非常会。 话不多说,体验一…
厚乳好爽
Showing the 12 most recent of 17 posts we hold for @MOMOLLf8885. 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 — 519,055 of 1,478,351entries 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 3 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.
@AvalonNote · 1,5042 posts深圳淘宝修车团
@xiuchegbdd · 32,5082 posts深圳少女御姐榜
@Haifpcj · 64,0911 post花满楼报告
@hmlbgpd · 1,8371 post花满楼资源频道
@hmlzyb · 18,5591 post深圳赏颜阁公开榜
@rcrczz · 29,8451 post茶楼#波涛汹涌
@szcldn · 2,8941 post深圳茶楼#龙华区
@SZCLLHQ · 12,0831 post深圳茶楼#千元P以下(含一千)
@SZCLQYQ · 3,8171 post深圳茶楼#新人区
@SZCLxinrenbang · 3,1901 post深圳茶楼报告
@szclzBG · 4,5421 post深圳赏颜阁
@szshangyange · 35,4501 post深圳少女御姐预备榜
@szSNQSTzx · 16,6431 post深圳少女御姐骑士团
@SZsnyjqst · 36,2711 post
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“茉莉花茶” (@MOMOLLf8885), 438 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/MOMOLLf8885.
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.