#全果94养生 #台江夯爆了94公寓SPA #女仆养生 #女仆换装 #极致养生 位置:#福州 台江福光南路附近 女仆养生:419/60分钟 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,床式女仆调情,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放(极致就是潮) 以上服务均有,形象~服务~情绪集于一身,服务时间45-60分钟,会所级服务流程名副其实极致,让更多表哥享受优质服务的同时,有一个宁静的环境,独享一份属于自己的世界。 女仆快感:599/60分钟(不限次) 要提前几次,跟老师提前说会合理安排时间,一切以时间为准! 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,床式女仆调情,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放 女仆双飞:699/6…

Channel
福州销魂选妃
@fll7896
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29,512subscribers
-3,069 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002356371972 |
|---|---|
| Type | Channel |
| Username | @fll7896 |
| Description | 上榜管家 @sb88863bot 总群链接:https://t.me/fll78997 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/fll7896 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 17:08 | 29,512 | -68 |
| 29 Aug 2026, 18:36 | 29,580 | -256 |
| 28 Aug 2026, 15:13 | 29,836 | -116 |
| 27 Aug 2026, 12:58 | 29,952 | -31 |
| 26 Aug 2026, 14:35 | 29,983 | -193 |
| 25 Aug 2026, 12:23 | 30,176 | -76 |
| 24 Aug 2026, 11:47 | 30,252 | -195 |
| 22 Aug 2026, 19:12 | 30,447 | -300 |
| 21 Aug 2026, 12:06 | 30,747 | +4 |
| 20 Aug 2026, 10:36 | 30,743 | -16 |
| 19 Aug 2026, 08:44 | 30,759 | -72 |
| 18 Aug 2026, 09:14 | 30,831 | -60 |
| 17 Aug 2026, 12:28 | 30,891 | -70 |
| 16 Aug 2026, 02:23 | 30,961 | -1,620 |
| 14 Aug 2026, 19:08 | 32,581 | first reading |
Engagement
9 posts held, back to 2 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 36 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 22.0%
- avg views ÷ 29,512 subscribers
- Avg views / post
- 6,490
- 9 posts measured
- Reaction rate
- 0.018%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 9 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 5 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 9 (2 August 2026 – 29 August 2026) |
| Views total | 58,451 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 09:34 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
- 438
- Videos
- 46
- Links
- 25
Lifetime counters from Telegram’s own channel header, read 31 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 14s
- Average length
- 14s
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
6 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 50.0% | |
| 👍 | 3 | 50.0% |
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 5 of the 9 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 2 August 2026 to 29 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
🟡昵称: 小月亮个人老师 🕐地区:#晋安区塔头路 🤖双向:@xzzzlbot 🚀电报:@www58956 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签:#已验证 🔴【给老师写报告 】@AIxiuchezhushoubot 最近有人冒充管理,欺骗老师收¥, 找管理看群公告下方按钮联系我们。
#福州 #699双飞 #喜悦SPA 双飞:699/50分钟(半裸) 单人:599/70分钟(半裸)单人:639(全裸)带文字技师 【服务内容】 贴浴骚舔搓澡+全程骚柔慢撩+女仆式情趣 (可按喜好换丝袜) 波推+鼻吸+漫游+指划+哈气+舔耳+骚叫+浑身酥麻流动+深度鼻吸,漫游全身每一寸肌肤(全程全身漫游+精准舌 皮走位,专攻小哥哥敏感区,可根据敏感区进行深度契合) 温水含蛋蛋疗法+深度舔蛋蛋/站/跪/趴/+丝足调情+丝袜任意撕,可摸等自由体验,有特殊癖好可用脚/脚关节/出水+毒🐉+高山流水+沉浸式口秀,漫游背部/ 大腿内侧/大腿外侧/手/🐻/臀/出结果。 VIP包房浴缸泡澡+牛奶+玫瑰+花瓣+泡泡浴(面膜,清洁面部)除贵妃SPA体验外,额外小姐姐可根据您的喜好更换情趣套装【该服务不加收任何费用】 【双向联系】 @fzxiyue001bot 【电报预约】@fzys001 【电报频道】 频道点击浏览👀 【交流群组】 群组…
❤1
🟡昵称: 乖 乖 🕐地区:#闽候 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
姓名:悦悦 年龄26 95/500/P 98/700P 福州闽侯甘蔗 身高158 体重98 🐻围BC 服务内容: 洗澡🛀🏻 指划 调情 吹 全身舔 啊啊啊 姿势多 🈲无套 磕药 醉酒 微信:85270525595 联系 @shuangyueyue 频道 频道点击浏览👀 🔴标签 #可放心出击 #已验证
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【老 师 艺 名】 #秋妍 【所 在 位 置】 #福州晋安区 【茶 位】 #500P 【服 务 类 型】 #全套 【联 系 方 式】@ws16998 【老 师 频 道】 频道点击浏览👀 联系电话13635220328 Q1840087418 薇 WER166186 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
❤1
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位置:#晋安区 花名:#福州婉贵人 私聊:https://t.me/ss666188 频道:https://t.me/xiang15888 详情:看课表 ✅加微信.acf168198 Q Q.948459576。 双向机器人 @sss168198bot 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
👍3❤1
Showing the 9 most recent of 9 posts we hold for @fll7896. 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.
Mentions
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“福州销魂选妃” (@fll7896), 29,512 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/fll7896.
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.